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GraphQL Course Training in Erode

"Learn to build efficient APIs with GraphQL, query data seamlessly, and optimize your development workflow. Join now to master GraphQL from an experienced expert and enhance your API development skills."

Master Java programming with this in-depth course! Learn core Java, OOP, data structures, and build real-world applications. Perfect for beginners & experienced developers looking to enhance their skills.

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Best Data Science course in Erode

4.9/5

Best Data Science course in Erode

4.8/5

Best Data Science course in Erode

4.7/5

Best Data Science course in Erode

4.9/5

Best Data Science course in Erode

4.5/5

Live Project

Course Duration

80 Hrs.

2 Project

Training Format

Certification Pass

Guranteed

Live Online /Self-Paced/Classroom

Best Software training institute in Erode -IDM Teckpark

Speciality

500 +

Professionals Trained

4 +

Batches every month

100+

Corporate Served

GraphQL Course in Erode

GraphQL is playing a key role in transforming data access by enabling flexible, efficient, and real-time querying of data. It allows organizations to request exactly the data they need, which improves application performance and supports more streamlined decision-making processes. This capability is particularly useful for business analysts, as it enables seamless integration of data sources, enhances collaboration between teams, and accelerates the process of driving insights and strategic initiatives.With applications in process automation, data analysis, and strategic decision-making, GraphQL is reshaping how business analysts work with data to optimize business operations, improve customer experiences, and ultimately achieve business goals. By embracing GraphQL, organizations can unlock the full potential of their data to drive innovation and growth.

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Course includes:

 Course Level Expert

Duration: 4 Months

Modules: 47

Certification: Yes

Projects: 5+

Timings Doesn't Suit You ?

We can set up a batch at your convenient time.

Blue Gradient

Program Core Credentials - GraphQL Course in Erode

Trainer Profiles

Industry Experts

Trained Students

5000+

Corporate Training

For India 

Job Assistance

100%

BATCH TIMING

As per your requirement

Training Features of GraphQL course in Erode

Instructor-led Sessions

IDM Techpark offers a traditional learning experience with modern advantages, providing easy access to content anytime on any internet-connected device. 

Real-life Case Studies

IDM Techpark offers real-life case studies to provide practical insights and hands-on learning experiences. Gain valuable knowledge from real-world examples to enhance your skills and understanding.

Assignment

IDM Techpark provides engaging assignments to reinforce learning and assess progress. These tasks are designed to challenge learners and ensure a deeper understanding of the material.

Lifetime Access

IDM Techpark offers lifetime access to course content, allowing learners to revisit and review materials at any time. Enjoy continuous learning and growth, 

24 x 7 Expert Support

IDM Techpark provides 24/7 expert support to assist learners whenever needed. Our team is always available to resolve queries and guide you through your learning experience.

Certification

IDM Techpark offers certificates upon successful completion of courses, Showcase your achievements and enhance your professional credentials with our recognized certifications.

Blue Gradient

Showcase your Course Completion Certificate to Recruiters

Training Certificate is Govern By 12 Global Associations.

Training Certificate is Powered by "Verifiable Skill Credentials"

Best Software training institute in Erode -IDM Teckpark
Best Software training institute in Erode -IDM Teckpark
Best Data Science course in Erode
Best Software training institute in Erode -IDM Teckpark

Students Placements & Reviews

200+ Companies hired 

Best Data Science course in Erode

Skills You’ll Learn in  GraphQL course in Erode​

This GraphQL course at IDM Techpark in Coimbatore covers a wide range of skills, including:

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PYTHON

Best Data Science course in Erode

SQL

Best Data Science course in Erode

MEACHINE

LEARNING

Best Data Science course in Erode

BIG DATA

Best Data Science course in Erode

DEEP 

LEARNING

Tools Covered

By the end of the GraphQL course at IDM Techpark in Coimbatore, you'll have a powerful skill set at your fingertips, including tools such as:

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TABLEAU

Best Data Science course in Erode

POWER BI

Best Data Science course in Erode

MATPLOTLIB 

Best Data Science course in Erode
Best Data Science course in Erode
What are the skills required in GraphQL course?

Understanding GraphQL Basics

What GraphQL is and how it differs from REST APIs,Basic structure of GraphQL: Queries, Mutations, and Subscriptions.

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GraphQL Schema Design

creating GraphQL schemas.,Defining types, queries, mutations, and subscriptions.

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GraphQL Queries and Mutations

Writing efficient GraphQL queries,Using arguments and variables in queries.

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Working with GraphQL Servers

Setting up a GraphQL server using frameworks like Apollo Server or Express-GraphQL.

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Career Opportunities in GraphQL Course in Erode

GraphQL is a rapidly evolving technology that focuses on efficiently querying and managing data, enabling flexible and precise data retrieval to improve application performance and decision-making.

GraphQL Developer

Backend Developer

API Engineer

API Engineer

Who Can Enroll GraphQL Course in Erode?

There are no strict prerequisites to join the course. However, ideal candidates include:

Beginners looking to start a career in Data Science.

Students & graduates in Computer Science, 

Graduates and working professionals 

Business professionals who want to leverage data

Tech enthusiasts passionate about data-driven problem-solving.

GraphQL Course Fees & Enrollment

Flexible payment options available.

EMI and installment plans for easy accessibility.

Follow us on Instagram & Telegram for updates on new courses and discounts.

50+ Advanced Modules Covered
  • 2. Ruby on Rails Modules
    ActiveRecord – Object-Relational Mapping (ORM) for working with databases. ActionView – Handles templates and rendering in Rails applications. ActionController – Manages user requests and responses in MVC architecture. ActiveSupport – Adds useful utilities like time calculations (2.days.ago).
  • 1. Core Ruby Modules (Built-in)
    Enumerable – Adds iteration methods like map, select, reduce, and each_with_index. Comparable – Enables comparison of objects using <, >, ==, etc. Math – Provides mathematical functions such as sqrt, log, and sin. Time & Date – Helps manage and manipulate time-related data. File & Dir – Enables file handling and directory management.
  • 3. Web Development & API Modules
    Sinatra – A lightweight framework for web applications. HTTParty – Makes HTTP requests easier. JSON – Parses and generates JSON data. Puma – A web server for Ruby applications.
  • 5. Testing & Debugging Modules
    Modules that help in testing and debugging Ruby applications. RSpec – A popular testing framework. MiniTest – A lightweight testing framework built into Ruby. Pry – A powerful debugging tool for Ruby. Byebug – A step-by-step debugger for troubleshooting issues.
  • 4. Security & Authentication Modules
    BCrypt – Encrypts passwords securely. Devise – Handles user authentication in Rails. OmniAuth – Allows third-party authentication (Google, Facebook, GitHub).
  • 3. Layouts & Navigation
    Column, Row, Stack, ListView, GridView Navigation & Routing (Named Routes, Push & Pop) Passing Data between Screens
  • 2. Flutter Basics
    Understanding Flutter architecture Widgets: Stateless & Stateful Building UI with Material & Cupertino Widgets Handling User Inputs (TextFields, Buttons, Forms)
  • 4. State Management
    setState (Local State Management) Provider (Basic State Management) Riverpod, Bloc, GetX (Advanced State Management)
  • 5. Working with APIs & Networking
    HTTP Requests using http and dio packages Consuming REST APIs & JSON Handling Displaying Data in ListView
  • 1. Introduction to Flutter & Dart
    Overview of Flutter and its advantages Setting up the development environment (Flutter SDK, Android Studio, VS Code) Introduction to Dart (Syntax, Variables, Data Types, Functions, OOP)
  • 1. Fundamentals of Graphic Design
    Introduction to Graphic Design & Visual Communication Color Theory, Typography, and Layout Design Understanding Composition & Balance in Design
  • 5. UI/UX & Web Graphics (Optional but In-Demand)
    Wireframing & Prototyping Designing for Websites & Mobile Apps Responsive Design Basics
  • 3. Branding & Identity Design
    Logo & Icon Design Principles Business Cards, Letterheads & Corporate Branding Packaging & Label Design
  • 2. Design Software & Tools (Hands-on Training)
    Adobe Photoshop – Image Editing & Manipulation Adobe Illustrator – Vector Graphics & Logo Design Adobe InDesign – Print Layout & Publishing CorelDRAW – Advanced Vector Design (Optional) Figma / Adobe XD – UI/UX & Web Design (Optional)
  • 4. Digital Marketing Graphics
    Social Media Post & Banner Design Website Banners & Ads Infographic Design for Marketing
  • Module 2: PL/SQL Block Structure
    Anonymous blocks Declaring variables and data types Using BEGIN, EXCEPTION, and END Writing simple PL/SQL programs
  • Module 5: Stored Procedures and Functions
    Creating and calling stored procedures Creating functions with return values Difference between procedures and functions
  • Module 1: Introduction to PL/SQL
    Overview of PL/SQL and its importance Differences between SQL and PL/SQL PL/SQL architecture and block structure Execution environments (SQL*Plus, Oracle SQL Developer)
  • Module 4: Cursors and Exception Handling
    Implicit vs. Explicit Cursors Cursor attributes (%FOUND, %NOTFOUND, %ROWCOUNT) Handling errors using EXCEPTION and RAISE_APPLICATION_ERROR
  • Module 3: Control Structures in PL/SQL
    Conditional statements (IF-THEN-ELSE, CASE) Looping constructs (FOR, WHILE, LOOP, EXIT)
  • Module 5: Typography & Text Effects
    Working with Text Layers & Font Styles Creating 3D & Embossed Text Effects Using Text in Branding & Social Media Graphics Applying Gradients, Shadows, and Strokes
  • Module 1: Introduction to Adobe Photoshop
    Overview of Photoshop Interface & Tools Understanding Raster vs. Vector Graphics Working with Workspaces and Panels Customizing Photoshop Preferences
  • Module 4: Selection & Transformation Tools
    Marquee, Lasso, and Quick Selection Tools Pen Tool & Paths for Precise Selections Transforming & Distorting Images (Scale, Warp, Perspective) Clipping Masks for Creative Effects
  • Module 2: Image Editing & Retouching
    Cropping, Resizing, and Adjusting Images Color Correction & Enhancements (Levels, Curves, Hue/Saturation) Removing Backgrounds (Selection, Masking, and Cutout Techniques) High-End Photo Retouching (Skin Smoothing, Blemish Removal)
  • Module 3: Working with Layers & Masking
    Layer Management & Smart Objects Layer Styles, Blending Modes, and Opacity Advanced Layer Masking Techniques Adjustment Layers for Non-Destructive Editing
  • 5. Statistical Analysis Using R
    Descriptive statistics (mean, median, mode, variance, standard deviation) Hypothesis testing (t-test, chi-square test, ANOVA) Correlation and regression analysis
  • 3. Data Import & Export
    Reading and writing CSV, Excel, JSON, and databases Web scraping and API integration
  • 4. Data Visualization in R
    ggplot2, lattice, and base R graphics Creating bar charts, histograms, scatter plots, and box plots Customizing and styling visualizations
  • 2. Data Structures in R
    Vectors, Lists, Matrices, and Data Frames Factors and Arrays Data manipulation using dplyr and tidyr
  • 1. Introduction to R Programming
    Overview of R and its applications Installation and setup of R and RStudio Basic R syntax, variables, and data types
  • Module 4: Working with Colors & Gradients
    Color modes (RGB, CMYK, Pantone, HEX) for digital & print Gradient, mesh tool, and color blending techniques Creating and applying custom swatches and patterns Using opacity, transparency, and layer blending modes
  • Module 3: Typography & Text Effects
    Working with Type Tool & Character Panel Creating custom fonts, text effects, and typography layouts Warping, outlining, and styling text Path-based text and text wrapping techniques
  • Module 1: Introduction to Adobe Illustrator
    Overview of vector graphics vs. raster graphics Adobe Illustrator interface, tools, and workspace customization Creating and saving new documents in different formats Understanding artboards, rulers, grids, and guides
  • Module 2: Basic Drawing & Shapes
    Working with pen, pencil, brush, and blob brush tools Creating and modifying basic geometric shapes Using stroke, fill, and gradient tools Customizing dashed lines, variable width strokes, and blending
  • Module 5: Advanced Pen Tool & Paths
    Mastering the Pen Tool for smooth curves and precise shapes Pathfinder & Shape Builder Tool for complex vector designs Creating custom icons, logos, and scalable vector art
  • 📌 Module 2: Video Editing Software & Tools
    Introduction to Adobe Premiere Pro, Final Cut Pro, DaVinci Resolve, Sony Vegas Pro. Setting up the workspace, project files, and editing timeline. Importing, organizing, and managing raw video footage.
  • 📌 Module 5: Color Correction & Grading
    Adjusting brightness, contrast, and saturation. Using LUTs (Look-Up Tables) and color grading techniques for cinematic looks. Fixing exposure issues and white balance correction.
  • 📌 Module 1: Introduction to Video Editing
    Overview of video editing and its role in digital media. Understanding different types of video content (films, advertisements, social media, etc.). Basics of storytelling and visual continuity.
  • 📌 Module 4: Audio Editing & Sound Design
    Synchronizing audio with video. Enhancing sound quality with noise reduction and audio effects. Adding background music, voiceovers, and sound effects.
  • 📌 Module 3: Basic Video Editing Techniques
    Trimming, cutting, and arranging clips on the timeline. Using transitions, jump cuts, and montage sequences. Understanding different video formats, codecs, and resolutions.
  • 4. Wireframing & Prototyping
    Low-fidelity vs. high-fidelity wireframes Creating interactive prototypes using Figma, Adobe XD, or Sketch Design handoff and collaboration with developers Usability testing of wireframes and prototypes
  • 2. UX Research & User Analysis
    Conducting user research and competitor analysis Creating user personas and user journey maps Wireframing and information architecture Heuristic evaluation and usability testing
  • 3. UI Design Principles
    Fundamentals of color theory, typography, and layouts UI components, grid systems, and visual hierarchy Mobile-first and responsive design principles Accessibility and inclusive design
  • 5. UI/UX Design Tools & Software
    Hands-on training in Figma, Adobe XD, Sketch, Photoshop, and Illustrator Designing and prototyping with real-world projects Asset exporting and integration with development teams
  • 1. Introduction to UI/UX Design
    Understanding the difference between UI (User Interface) & UX (User Experience) Importance of UI/UX in product development Design thinking and user-centered design principles Industry trends and career opportunities in UI/UX
  • Text and Typography Animation
    Creating and animating text layers Using text presets and effects Kinetic typography techniques
  • 1. Introduction to After Effects
    Overview of the interface and workspace Understanding compositions, layers, and keyframes Importing assets and organizing projects
  • 5. Motion Tracking & Stabilization
    2D and 3D motion tracking Camera tracking for integrating 3D elements Object removal and stabilization techniques
  • 4. Visual Effects (VFX) & Compositing
    Green screen (chroma keying) techniques Rotoscoping for isolating objects Using blending modes and mattes Color correction and grading
  • 2. Animation Basics
    Keyframing and interpolation Motion paths and easing for smooth animations Shape layers and vector graphics
  • Module 1: Introduction to Databases & SQL
    Overview of Relational Database Management Systems (RDBMS) Understanding Databases, Tables, and Schemas Introduction to SQL & its Importance in Data Management Installing MySQL, PostgreSQL, or SQL Server
  • Module 4: Database Design & Normalization
    Understanding Data Relationships (One-to-One, One-to-Many, Many-to-Many) Normalization Techniques (1NF, 2NF, 3NF, BCNF) Denormalization & Indexing for Performance Optimization Designing ER Diagrams and Schema Modeling
  • Module 5: Data Manipulation & Transactions
    INSERT, UPDATE, DELETE Statements Using Primary Keys & Foreign Keys Understanding Transactions & ACID Properties Implementing ROLLBACK, COMMIT, and SAVEPOINTS
  • Module 3: Advanced SQL Queries
    Joins & Relationships (INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN) Subqueries & Nested Queries Using GROUP BY and HAVING Clauses Window Functions & Common Table Expressions (CTEs)
  • Module 2: SQL Basics & Querying Data
    Writing Basic SQL Queries (SELECT, FROM, WHERE, ORDER BY, LIMIT) Filtering & sorting data efficiently Using Aliases and Aggregate Functions (SUM, COUNT, AVG, MAX, MIN) Handling NULL values and Data Constraints
  • Module 3: Advanced SQL & Joins
    ✔ Understanding primary & foreign keys ✔ One-to-One, One-to-Many, Many-to-Many relationships ✔ INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN ✔ Subqueries & nested queries ✔ UNION, INTERSECT, and EXCEPT
  • Module 2: SQL Fundamentals & Querying
    ✔ Data types, tables, and schema design ✔ Writing basic SQL queries (SELECT, INSERT, UPDATE, DELETE) ✔ Filtering data using WHERE, GROUP BY, and HAVING ✔ Sorting & limiting results (ORDER BY, LIMIT) ✔ Using DISTINCT & aggregate functions (COUNT, SUM, AVG, MIN, MAX)
  • Module 1: Introduction to MySQL & Databases
    ✔ Understanding relational databases (RDBMS) ✔ MySQL architecture & components ✔ Installing & setting up MySQL ✔ Connecting to MySQL using CLI & GUI tools (MySQL Workbench, phpMyAdmin)
  • Module 4: MySQL Stored Procedures & Functions
    ✔ Writing & executing stored procedures ✔ Creating and using MySQL functions ✔ Handling parameters & return values ✔ Error handling with MySQL exceptions ✔ Implementing cursors and loops
  • State Management Modules
    Context API (React Built-in) – Lightweight state management. Redux – Advanced state management with a centralized store. Zustand – Lightweight and minimalistic state management. MobX – Simpler alternative to Redux. Recoil – Easy-to-use state management from Facebook.
  • UI & Component Libraries
    React Native Paper – Material Design components. NativeBase – Pre-built UI components for faster development. React Native Elements – UI components with easy customization. Lottie for React Native – Animated vector graphics for smooth UI animations.
  • API & Networking Modules
    Axios – Popular library for handling API requests. Fetch API (Built-in) – Native JavaScript method for API requests. GraphQL (Apollo Client, Relay) – Efficiently fetch and manage GraphQL-based APIs.
  • Core React Native Modules
    View – A container for UI elements, similar to <div> in HTML. Text – Displays text content. Image – Displays images from local or remote sources. ScrollView – A scrollable container for UI elements. FlatList / SectionList – Optimized lists for rendering large sets of data. TouchableOpacity / TouchableHighlight – Provides button-like functionality with animations. TextInput – Input field for user text entry.
  • Navigation Modules
    React Navigation – The most popular navigation library for handling stacks, tabs, and drawers. @react-navigation/native (Core) @react-navigation/stack (Stack navigation) @react-navigation/drawer (Side drawer navigation) @react-navigation/bottom-tabs (Bottom tab navigation) React Native Navigation (Wix) – Alternative navigation library with native performance.
  • Module 2: Kotlin Basics & Core Concepts
    Variables and Data Types Operators and Expressions Control Flow (if-else, when, loops) Functions and Scope Lambda Expressions and Higher-Order Functions
  • Module 5: Exception Handling & Null Safety
    Try-Catch Blocks Throwing and Custom Exceptions The Elvis Operator (?:) and Safe Calls (?.) Late Initialization (lateinit and lazy)
  • Module 4: Functional Programming in Kotlin
    Collections (Lists, Sets, Maps) Extension Functions Generics and Type Safety Kotlin Standard Library Functions Streams, Filtering, and Mapping Data
  • Module 3: Object-Oriented Programming (OOP) in Kotlin
    Classes, Objects, and Constructors Inheritance and Polymorphism Abstract Classes and Interfaces Data Classes and Sealed Classes Singleton and Companion Objects
  • Module 1: Introduction to Kotlin
    Overview of Kotlin and its advantages Setting up the development environment (Android Studio, IntelliJ IDEA) Kotlin vs Java – Key differences Writing your first Kotlin program
  • Module 3: Setting Up a GraphQL Server
    Installing and configuring a GraphQL server Using Apollo Server and Express-GraphQL Connecting GraphQL with a database (SQL & NoSQL) Implementing resolvers for API endpoints
  • Module 1: Introduction to GraphQL
    What is GraphQL? GraphQL vs. REST APIs Benefits and use cases of GraphQL GraphQL ecosystem and tools
  • Module 4: Queries, Mutations, and Subscriptions
    Writing advanced queries with filters, arguments, and variables Performing mutations to create, update, and delete data Implementing real-time data updates using GraphQL subscriptions
  • Module 5: GraphQL Schema Design
    Defining types, fields, and relationships Working with enums, unions, and interfaces Schema best practices and versioning
  • Module 2: GraphQL Basics
    GraphQL query structure Writing basic queries and mutations GraphQL schemas and types Understanding resolvers
  • Requirement Gathering & Elicitation
    Techniques for gathering business requirements (interviews, surveys, workshops, observations) Stakeholder identification and management Documenting requirements (BRD, FRD) Defining functional and non-functional requirements
  • Agile Methodology for Business Analysts
    Introduction to Agile and Scrum frameworks Writing user stories and acceptance criteria Agile ceremonies (sprints, stand-ups, retrospectives) Working in an Agile team and facilitating Agile practices
  • Data Analysis & Reporting
    Introduction to data analysis for business insights Data collection and cleaning Analyzing business data using Excel, Power BI, and Tableau Creating dashboards and reports for decision-makers
  • Introduction to Business Analysis
    Role and responsibilities of a Business Analyst Key concepts in Business Analysis Overview of the business analysis lifecycle Importance of Business Analysis in organizations
  • Business Process Modeling & Improvement
    Process mapping techniques (BPMN, flowcharts, SIPOC) Business process analysis and redesign Identifying inefficiencies and bottlenecks Process improvement methodologies (Six Sigma, Lean)
  • Module 1: Introduction to DevOps and AWS Cloud
    Overview of DevOps principles and practices. Introduction to Cloud Computing and AWS services. Differences between traditional software development and DevOps. Importance of automation in DevOps. Understanding AWS cloud architecture and core services like EC2, S3, IAM, VPC.
  • Module 5: Continuous Integration/Continuous Deployment (CI/CD) Pipelines
    Setting up a full CI/CD pipeline using AWS CodePipeline. Automating the build, test, and deploy phases of the pipeline. Integrating CodeCommit, CodeBuild, and CodeDeploy into a seamless pipeline. Managing pipeline stages and monitoring pipeline status.
  • Module 3: Continuous Integration (CI) with AWS
    Introduction to Continuous Integration (CI). Setting up AWS CodeBuild for building code and automating builds. Integrating AWS CodeBuild with Git repositories. Building and testing applications automatically. Understanding build pipelines and managing build artifacts.
  • Module 4: Continuous Delivery (CD) with AWS
    Introduction to Continuous Delivery (CD). Setting up AWS CodeDeploy for automating application deployments. Deployment strategies: Blue/Green, Rolling, and Canary deployments. Integrating CodeDeploy with EC2, Lambda, or on-premises servers. Handling versioning and rollback scenarios.
  • Module 2: Source Control and Version Control with Git
    Introduction to Git and version control systems. Setting up AWS CodeCommit (AWS’s managed Git service). Basic Git commands (clone, commit, push, pull). Managing repositories and branches in CodeCommit. Best practices for version control.
  • Module 5: Deep Neural Networks (DNNs)
    Understanding Deep Neural Networks Feedforward Networks and Backpropagation Challenges in Deep Networks (Vanishing/Exploding Gradients) Regularization Techniques (Dropout, L2 regularization)
  • Module 2: Mathematics for Deep Learning
    Linear Algebra (Matrices, Vectors, and Tensors) Probability and Statistics Calculus for Optimization (Gradient Descent) Cost Functions and Backpropagation
  • Module 1: Introduction to Deep Learning
    Overview of AI and Deep Learning Difference between AI, Machine Learning, and Deep Learning Applications of Deep Learning Key Concepts in Deep Learning
  • Module 3: Python for Deep Learning
    Introduction to Python Programming Libraries for Deep Learning: NumPy, Pandas, Matplotlib, Seaborn TensorFlow and Keras Basics Data Preprocessing with Python
  • Module 4: Neural Networks Fundamentals
    Basic Concepts: Neurons, Layers, Activation Functions Building a Simple Neural Network Training Neural Networks Gradient Descent and Optimization
  • Module 1: Introduction to Artificial Intelligence & Machine Learning
    Overview of AI, ML, and Deep Learning Applications of AI & ML in various industries Difference between AI, ML, and Data Science Supervised vs. Unsupervised Learning
  • Module 5: Deep Learning & Neural Networks
    Fundamentals of Neural Networks Activation Functions & Optimization Techniques Introduction to TensorFlow & PyTorch Building Deep Learning Models
  • Module 2: Python for AI & ML
    Python programming basics and advanced concepts Data structures and algorithms in Python Libraries for AI & ML: NumPy, Pandas, Matplotlib, Seaborn
  • Module 3: Data Preprocessing & Feature Engineering
    Data cleaning and handling missing values Data transformation and normalization Feature selection and dimensionality reduction
  • Module 4: Machine Learning Algorithms
    Linear Regression & Logistic Regression Decision Trees & Random Forest Support Vector Machines (SVM) K-Nearest Neighbors (KNN) Naïve Bayes Classification
  • Statistics & Probability for Data Science
    ✅ Descriptive and Inferential Statistics ✅ Probability Distributions (Normal, Binomial, Poisson) ✅ Hypothesis Testing and Confidence Intervals ✅ Correlation and Regression Analysis
  • Data Handling & Manipulation
    ✅ Introduction to NumPy and Pandas ✅ Data Cleaning, Preprocessing, and Transformation ✅ Handling Missing Values and Outliers ✅ Exploratory Data Analysis (EDA)
  • Machine Learning Fundamentals
    ✅ Introduction to Supervised & Unsupervised Learning ✅ Linear Regression, Logistic Regression ✅ Decision Trees and Random Forest ✅ Clustering (K-Means, Hierarchical Clustering)
  • Introduction to Data Science & Python
    ✅ Overview of Data Science and its applications ✅ Role of Python in Data Science ✅ Setting up Python Environment (Anaconda, Jupyter Notebook, VS Code) ✅ Python Basics – Variables, Data Types, and Control Structures
  • Data Visualization
    ✅ Matplotlib and Seaborn for Data Visualization ✅ Creating Charts, Graphs, and Plots ✅ Heatmaps, Boxplots, and Histogram Analysis ✅ Interactive Dashboards with Plotly
  • Fundamentals of Programming & .NET Framework
    🔹 Introduction to Full Stack Development 🔹 Understanding .NET Framework vs .NET Core 🔹 Setting up Visual Studio & .NET Development Environment 🔹 Basics of C# Programming 🔹 Object-Oriented Programming (OOP) with C# 🔹 Error Handling & Debugging
  • Database Management & ORM
    🔹 Introduction to SQL Server & Database Design 🔹 Writing SQL Queries & Stored Procedures 🔹 Database Connectivity with ADO.NET & Entity Framework (EF Core) 🔹 LINQ (Language Integrated Query) for Data Manipulation 🔹 Implementing CRUD Operations
  • Frontend Development
    🔹 HTML5, CSS3, and JavaScript for UI Design 🔹 Responsive Design with Bootstrap & Tailwind CSS 🔹 Modern JavaScript (ES6+) & DOM Manipulation 🔹 TypeScript & Angular (or React) for frontend development 🔹 Blazor for building interactive web applications 🔹 State Management & UI Components
  • API Development & Integration
    🔹 RESTful API Development with ASP.NET Core 🔹 JSON & XML Data Handling 🔹 API Documentation with Swagger 🔹 Third-party API Integration & OAuth Authentication 🔹 GraphQL Basics & Implementation
  • Backend Development with ASP.NET Core
    🔹 Introduction to ASP.NET Core & MVC Architecture 🔹 Routing, Controllers, and Actions 🔹 Dependency Injection & Middleware 🔹 Entity Framework Core (EF Core) for Database Integration 🔹 Authentication & Authorization with JWT & Identity 🔹 API Development with ASP.NET Core Web API 🔹 Microservices Architecture in .NET
  • Version Control & Deployment
    🔹 Git & GitHub – Version control and collaboration 🔹 Docker & Kubernetes – Containerization and orchestration 🔹 Cloud Deployment – AWS, Heroku, and Firebase hosting
  • Real-World Project Development
    🔹 Capstone Projects – Hands-on experience in building applications 🔹 Live Projects – Develop and deploy real-world applications 🔹 Portfolio Building – Showcase skills through GitHub and LinkedIn
  • Frontend Development
    🔹 HTML5, CSS3, and JavaScript – Web structuring and styling 🔹 Bootstrap & Tailwind CSS – Responsive UI design 🔹 React.js / Angular – Dynamic frontend development 🔹 DOM Manipulation – Interactive web pages 🔹 AJAX & Fetch API – Asynchronous data fetching
  • Backend Development with Python
    🔹 Core Python – Syntax, data types, and OOP concepts 🔹 Django & Flask – Web frameworks for backend development 🔹 RESTful APIs & GraphQL – API creation and integration 🔹 Authentication & Security – User authentication, JWT, OAuth 🔹 Error Handling & Debugging – Writing efficient backend code
  • Database Management
    🔹 SQL & NoSQL Databases – MySQL, PostgreSQL, and MongoDB 🔹 ORM (Object Relational Mapping) – Django ORM & SQLAlchemy 🔹 CRUD Operations – Data handling and management
  • Module 1: Core Java & Object-Oriented Programming (OOP)
    ✅ Introduction to Java and JVM ✅ Variables, Data Types, and Operators ✅ Control Flow Statements (Loops & Conditions) ✅ Functions and Exception Handling ✅ Object-Oriented Programming Concepts (Classes, Objects, Inheritance, Polymorphism) ✅ Collections Framework and Multithreading
  • Module 2: Backend Development with Java Spring Boot
    ✅ Introduction to Spring Boot and Microservices ✅ RESTful API Development with Spring Boot ✅ Dependency Injection and Spring MVC ✅ Hibernate & JPA for Database Integration ✅ Spring Security & Authentication (JWT, OAuth) ✅ Logging, Exception Handling, and API Testing
  • Module 5: Capstone Project & Placement Assistance
    ✅ End-to-End Full Stack Web Application Development ✅ Version Control with Git & GitHub ✅ Debugging, Performance Optimization, and Testing ✅ Resume Building & Interview Preparation ✅ Mock Interviews and Coding Challenges ✅ 100% Placement Assistance with Career Guidance
  • Module 4: Database Management & Cloud Deployment
    ✅ Introduction to SQL & NoSQL Databases ✅ MySQL and PostgreSQL – Queries, Joins, and Indexing ✅ MongoDB for NoSQL Database Integration ✅ Connecting Java Applications with Databases (JDBC, Hibernate) ✅ Cloud Deployment with AWS/GCP/Azure ✅ CI/CD Pipelines and Docker Containerization
  • Module 3: Frontend Development with HTML, CSS, JavaScript & React/Angular
    ✅ HTML5, CSS3, and Bootstrap for UI Design ✅ JavaScript Fundamentals (ES6, DOM Manipulation) ✅ React.js or Angular for Frontend Development ✅ State Management with Redux (React) ✅ Consuming REST APIs in Frontend ✅ Responsive Web Design & UI Optimization
  • Module 4: Full Stack Integration & Deployment
    Connecting React frontend with Node.js backend API integration and handling requests Authentication & authorization (User login/logout) Deployment using Heroku, Vercel, or Netlify Environment variables and production optimization
  • Module 3: Database Management with MongoDB
    Introduction to NoSQL and MongoDB CRUD operations with MongoDB Mongoose for database modeling Aggregation framework and indexing for performance Connecting MongoDB with Express.js
  • Module 5: Advanced Concepts & Capstone Project
    WebSockets and real-time communication (Socket.io) Serverless architecture and cloud functions Performance optimization & debugging Building a real-world project (E-commerce, Social Media App, etc.) Portfolio building and interview preparation
  • Module 2: Backend Development with Node.js & Express.js
    Introduction to Node.js and its architecture Setting up Express.js for backend development RESTful API development Middleware and authentication (JWT, OAuth) Error handling and security best practices
  • Module 1: Frontend Development with React.js
    Introduction to HTML, CSS, and JavaScript React.js fundamentals: Components, Props, and State React Hooks (useState, useEffect, useContext) React Router for navigation State Management (Context API, Redux - optional) Responsive design with Bootstrap/Tailwind CSS
  • Version Control & Deployment
    Git & GitHub Basics Hosting & Deployment on Servers Debugging & Performance Optimization
  • Front-End Development
    HTML, CSS, JavaScript Bootstrap & Responsive Design React.js or Vue.js Basics
  • Back-End Development with PHP
    Core PHP & Advanced PHP Object-Oriented Programming (OOP) in PHP Handling Forms & Sessions
  • Database Management
    MySQL & SQL Queries Database Connectivity with PHP (PDO & MySQLi) CRUD Operations
  • PHP Frameworks
    Laravel / CodeIgniter Basics MVC Architecture RESTful API Development
  • Functions and Modular Programming in C
    Defining and calling functions Scope and lifetime of variables Recursive functions Header files and standard libraries
  • Introduction to Programming Concepts
    Understanding algorithms and flowcharts Problem-solving techniques
  • Control Structures in C
    Decision-making statements (if, else, switch) Looping constructs (for, while, do-while) Jump statements (break, continue, goto)
  • Arrays and Strings in C
    Single and multidimensional arrays String handling and manipulation Dynamic arrays
  • Basics of C Programming
    History and evolution of C Structure of a C program Data types, variables, and constants Operators and expressions Input and output functions
  • CSS (Cascading Style Sheets)
    CSS syntax and selectors Box model, margins, padding, and borders Layouts: Flexbox and Grid systems Responsive design principles and media queries CSS animations and transitions
  • JavaScript
    Fundamentals of programming with JavaScript DOM manipulation and event handling ES6+ features Introduction to AJAX for asynchronous data fetching
  • Introduction to Web Technologies
    Understanding the internet and web protocols Types of websites (static vs. dynamic) Basics of domain names and hosting services
  • HTML (HyperText Markup Language)
    HTML syntax and structure Tags, attributes, and elements Creating forms and tables Semantic HTML5 elements
  • Front-End Frameworks and Libraries
    Introduction to jQuery for simplified JavaScript operations Overview of front-end frameworks like React.js or Angular Utilizing CSS frameworks such as Bootstrap or Tailwind CSS for responsive design
  • Strings and Regular Expressions
    String operations and functions Pattern matching with regular expressions
  • Functions
    Defining and invoking functions Function parameters and return values Variable scope and recursion
  • Control Structures
    Conditional statements (if, else, switch) Loops (for, while, do-while, foreach)
  • Arrays
    Indexed and associative arrays Array functions and manipulation Multidimensional arrays
  • Introduction to PHP
    Overview of PHP and its evolution Basic syntax and embedding PHP in HTML Variables, constants, and data types Operators and expressions
  • Java/Kotlin Programming Fundamentals
    Review of object-oriented programming concepts. Syntax and features of Java or Kotlin, the primary languages for Android development. Exception handling and multithreading.
  • Introduction to Android Development
    Overview of the Android platform and its architecture. Setting up the development environment using Android Studio. Understanding the components of an Android application. Creating and running a simple Android application.
  • Activity and Fragment Lifecycle
    Managing the lifecycle of Activities and Fragments. Navigating between different screens within an app. Handling user interactions and events.
  • User Interface (UI) Design
    Designing layouts using XML. Understanding Views, ViewGroups, and common UI components. Implementing responsive designs for various screen sizes and orientations.
  • Data Storage and Management
    Using SQLite databases for local data storage. Implementing SharedPreferences for simple data persistence. Working with Content Providers to share data between applications
  • React Router
    Setting up routing for single-page applications Implementing nested routes and navigation Utilizing route parameters and query strings
  • React Hooks
    Understanding built-in hooks such as useState, useEffect, and useContext Developing custom hooks for reusable logic Best practices for using hooks in functional components
  • State and Props
    Managing component state and understanding its significance Passing data between components using props Implementing controlled and uncontrolled components
  • State Management with Redux
    Introduction to Redux principles Setting up Redux in a React application Creating actions, reducers, and managing the store Handling asynchronous actions with middleware like Redux Thunk
  • React Components
    Creating and managing functional and class components Component lifecycle methods and their applications Handling events within components
  • AngularJS Expressions and Data Binding
    Utilizing expressions in AngularJS Implementing two-way data binding
  • Controllers and Modules
    Defining controllers and attaching properties/functions to the scope Organizing code using modules
  • Forms and Validation
    Implementing form controls and bindings Validating user inputs
  • Directives
    Exploring built-in directives Creating custom directives
  • Introduction to AngularJS
    Overview of AngularJS and its features Understanding the Model-View-Controller (MVC) architecture Setting up the development environment
  • Java Servlets
    Developing and deploying servlets. Handling HTTP requests and responses. Session tracking and management. Implementing filters and listeners
  • Introduction to J2EE
    Overview of J2EE architecture and components. Understanding J2EE containers and services. Significance of J2EE in enterprise application development.
  • Enterprise JavaBeans (EJB)
    Introduction to EJB and its types (Session Beans, Message-Driven Beans). Developing stateless and stateful session beans. Understanding EJB container services like transactions and security.
  • JavaServer Pages (JSP
    Creating dynamic web content with JSP. Understanding JSP directives, scripting elements, and actions. Using JavaBeans in JSP. Implementing JSP Expression Language (EL) and JSTL
  • Java Persistence API (JPA)
    Object-relational mapping (ORM) concepts. Defining entities and mapping them to database tables. Performing CRUD operations using JPA. Managing entity relationships
  • MVC Architecture
    Understanding the Model-View-Controller (MVC) design pattern Creating models, views, and controllers Routing mechanisms and URL patterns Data binding and validation techniques
  • Introduction to ASP.NET and .NET Framework:
    Overview of the .NET Framework and its components Understanding the Common Language Runtime (CLR) Setting up the development environment with Visual Studio Basics of C# programming language
  • Web API Development
    Building RESTful services using ASP.NET Core Web API Handling HTTP methods (GET, POST, PUT, DELETE) Content negotiation and formatting responses Securing APIs with authentication and authorization mechanisms
  • Entity Framework Core
    Introduction to Object-Relational Mapping (ORM) Setting up Entity Framework Core in ASP.NET Core projects Performing CRUD (Create, Read, Update, Delete) operations Handling relationships and migrations
  • ASP.NET Core Fundamentals
    Introduction to ASP.NET Core and its advantages over previous versions Setting up and configuring an ASP.NET Core project Understanding the ASP.NET Core request-response pipeline Middleware components and their roles
  • Java Syntax and Data Types
    Variables, data types, and type casting Operators and expressions Control flow statements: decision-making (if-else, switch) and loops (for, while, do-while)
  • Object-Oriented Programming (OOP) in Java
    Classes and objects Constructors and methods Access modifiers and encapsulation Inheritance, polymorphism, abstraction, and interfaces
  • Introduction to Java
    Overview of Java, its history, and features Setting up the Java Development Kit (JDK) and Integrated Development Environment (IDE) Understanding the Java Virtual Machine (JVM) and platform independence Writing and executing a simple Java program
  • Collections Framework
    Introduction to collections: List, Set, Map Working with ArrayList, HashSet, HashMap, etc. Iterators and the enhanced for-loop
  • Exception Handling
    Understanding exceptions and error handling Try-catch blocks, throw and throws keywords Creating custom exceptions
  • HTML (HyperText Markup Language)
    Understanding the structure and semantics of web pages. Learning to use various HTML tags and attributes to create content. Building forms, tables, and embedding multimedia elements.
  • CSS (Cascading Style Sheets)
    Styling web pages to enhance visual appeal. Implementing layouts, colors, fonts, and responsive designs. Utilizing frameworks like Bootstrap for streamlined styling.
  • Front-End Frameworks and Libraries
    Learning frameworks like React.js to build dynamic user interfaces. Managing state and props in component-based architectures.
  • JavaScript
    Adding interactivity to web pages. Understanding variables, data types, functions, and control structures. Manipulating the Document Object Model (DOM) to dynamically update content.
  • Back-End Development
    Understanding server-side programming with languages like Node.js or Python. Managing databases, server logic, and authentication processes.
  • Windows Forms and Event-Driven Programming
    Designing graphical user interfaces (GUIs) Handling events and delegates Implementing controls like buttons, text boxes, and labels Form navigation and user input validation
  • Object-Oriented Programming (OOP) in VB.NET
    Classes and objects Inheritance and polymorphism Encapsulation and abstraction Interfaces and abstract classes
  • Introduction to .NET Framework and Visual Studio
    Overview of the .NET Framework architecture Navigating the Visual Studio Integrated Development Environment (IDE) Understanding the Common Language Runtime (CLR) and .NET languages
  • Data Access with ADO.NET
    Connecting to databases Executing SQL queries and stored procedures Using DataSets, DataTables, and DataReaders Performing CRUD (Create, Read, Update, Delete) operations
  • VB.NET Language Fundamentals
    Data types, variables, and constants Operators and expressions Control structures: decision-making and loops Error handling and exception management
  • Test Planning and Documentation
    Developing test strategies and plans. Designing effective test cases and scenarios. Understanding the significance of test documentation in ensuring traceability and accountability.
  • Non-Functional Testing Techniques
    Performing performance testing, including load and stress testing. Assessing usability and compatibility of software across different platforms and devices.
  • Software Development Life Cycle (SDLC) and Testing
    Exploring various SDLC models like Waterfall, V-Model, and Agile. Integrating testing activities within these models. Understanding different levels of testing: unit, integration, system, and acceptance testing.
  • Test Planning and Documentation
    Developing test strategies and plans. Designing effective test cases and scenarios. Understanding the significance of test documentation in ensuring traceability and accountability.
  • Software Development Life Cycle (SDLC) and Testing
    Exploring various SDLC models like Waterfall, V-Model, and Agile. Integrating testing activities within these models. Understanding different levels of testing: unit, integration, system, and acceptance testing.
  • Introduction to Python
    Overview of Python and its applications. Setting up the Python environment. Writing and executing simple Python scripts. Understanding basic syntax and indentation.
  • Functions and Modules
    Defining and invoking functions. Function parameters and return values. Lambda functions. Importing and utilizing modules.
  • Control Flow
    Conditional statements: if, elif, and else. Loops: for and while. Control statements: break, continue, and pass.
  • Operators and Expressions
    Arithmetic, relational, logical, and bitwise operators. Operator precedence and associativity.
  • Data Types and Variables
    Exploring fundamental data types: integers, floats, strings, and booleans. Variable declaration and assignment. Type conversion and casting.
  • Introduction to WordPress and Content Management Systems (CMS)
    Understanding the concept and benefits of CMS. Differentiating between WordPress.com and WordPress.org. Exploring the history and evolution of WordPress.
  • Content Creation and Management:
    Differentiating between posts and pages. Utilizing the Block Editor (Gutenberg) for content creation. Organizing content with categories and tags.
  • Themes and Customization
    Selecting, installing, and activating themes. Customizing themes using the WordPress Customizer. Creating child themes for advanced customization.
  • Setting Up WordPress
    Installing WordPress on local and remote servers. Configuring basic settings and understanding the dashboard interface. Managing user roles and permissions.
  • Plugins and Functionality Enhancement
    Understanding the role of plugins in extending site functionality. Installing, activating, and configuring essential plugins. Exploring popular plugins for SEO, security, and performance optimization.
  • Scanning Networks
    Methods to detect live systems, open ports, and services to map out network infrastructures
  • Introduction to Ethical Hacking
    Understanding the fundamentals of ethical hacking, including its purpose, legal implications, and the role of an ethical hacker.
  • Vulnerability Analysis
    Assessing systems for known vulnerabilities using various tools and techniques.
  • Footprinting and Reconnaissance
    Techniques for gathering information about targets using passive and active methods to identify potential vulnerabilities
  • Enumeration
    Extracting detailed information such as user names, machine names, and network resources to identify potential entry points
  • Social Media Marketing
    Leveraging platforms like Facebook, Instagram, LinkedIn, and Twitter to promote products or services, engage with audiences, and build brand awareness
  • Fundamentals of Digital Marketing
    Understanding the digital marketing landscape, including various channels, platforms, and technologies. This module explores the evolution of digital marketing and its impact on consumer behavior
  • Content Marketing
    Creating and distributing valuable, relevant content to attract and engage a target audience. This includes blog posts, videos, infographics, and more.
  • Search Engine Optimization (SEO)
    Techniques to improve website visibility on search engines, focusing on keyword research, on-page and off-page optimization, and understanding search engine algorithms
  • Search Engine Marketing (SEM)
    Strategies involving paid advertising to increase website visibility on search engines, including Pay-Per-Click (PPC) campaigns and Google Ads
  • Support Vector Machines (SVM)
    Understanding the concept of hyperplanes and margins. Implementing SVMs for linear and non-linear classification tasks. Utilizing kernel functions to handle complex data structures.
  • Linear Models
    Linear regression for predicting continuous outcomes. Logistic regression for binary classification problems. Understanding the assumptions and limitations of linear models.
  • Introduction to Machine Learning
    Overview of machine learning concepts and applications. Understanding different types of learning: supervised, unsupervised, and reinforcement learning. Exploring the history and evolution of machine learning.
  • Decision Trees and Ensemble Methods
    Constructing decision trees for classification and regression tasks. Implementing pruning techniques to prevent overfitting. Exploring ensemble methods like bagging, boosting, and random forests to improve model performance.
  • Clustering and Dimensionality Reduction:
    Applying clustering algorithms such as K-means and hierarchical clustering for unsupervised learning. Implementing dimensionality reduction techniques like Principal Component Analysis (PCA) to simplify data.
  • Introduction to Data Analytics
    Understanding the role and responsibilities of a Data Analyst. Exploring the data analysis process, including data collection, cleaning, analysis, and visualization. Familiarity with the modern data ecosystem and the various roles within it.
  • Programming for Data Analysis
    Introduction to programming languages commonly used in data analysis, such as Python or R. Data manipulation and analysis using libraries like pandas (Python) or dplyr (R). Implementing basic algorithms for data processing.
  • Data Management and SQL
    Understanding relational databases and data warehousing concepts. Writing SQL queries to extract and manipulate data. Data cleaning and preprocessing techniques.
  • Data Visualization
    Principles of effective data visualization. Utilizing tools like Tableau and Power BI to create interactive dashboards. Designing charts and graphs to effectively communicate data insights.
  • Statistics and Probability
    Fundamental concepts of descriptive and inferential statistics. Probability distributions and their applications in data analysis. Hypothesis testing and confidence intervals.
  • Module 3: Frontend Development - JavaScript Frameworks
    JavaScript ES6+ Features (Arrow Functions, Promises, Modules) Introduction to React.js or Angular/Vue.js Components, Props, State Management (Redux/Context API) React Router and Hooks API Calls with Fetch/Axios
  • Module 2: Frontend Development - HTML, CSS, and JavaScript
    Advanced HTML and CSS (Flexbox, Grid, Media Queries) JavaScript Basics: Variables, Loops, Functions, DOM Manipulation Responsive Web Design Bootstrap and Tailwind CSS
  • Module 1: Introduction to Web Development
    Understanding Full Stack Development Overview of Frontend, Backend, and Databases Setting up the Development Environment Introduction to HTML, CSS, and JavaScript
  • Module 4: Backend Development - Server-side Programming
    Introduction to Node.js and Express.js RESTful API Development Authentication and Authorization (JWT, OAuth) Middleware and Routing
  • Module 5: Databases and ORM
    Relational Databases (MySQL, PostgreSQL) NoSQL Databases (MongoDB) Using ORM (Mongoose for MongoDB, Sequelize for SQL) CRUD Operations in Databases Database Security and Optimization
  • Data Wrangling and Preprocessing
    Data Collection and Cleaning Handling Missing Data and Outliers Feature Engineering Exploratory Data Analysis (EDA)
  • Foundations of Data Science
    Introduction to Data Science Role of Data Scientists Data Science Lifecycle Basics of Statistics and Probability
  • Data Visualization
    Principles of effective data visualization. Creating visualizations using tools like Matplotlib, Seaborn, or Tableau. Designing dashboards for interactive data exploration.
  • Data Wrangling and Exploration:
    Techniques for data cleaning and preprocessing. Handling missing data and outliers. Performing exploratory data analysis (EDA) to uncover patterns.
  • Machine Learning Fundamentals
    Supervised vs. Unsupervised Learning Regression and Classification Algorithms Clustering Techniques (K-Means, Hierarchical) Model Evaluation and Hyperparameter Tuning
Best Software training institute in Erode -IDM Teckpark
Looking  for in-depth syllabus Information ?

Course Highlights and Why GraphQL Course in Erode at IDM Techpark?

Comprehensive GraphQL Training – IDM Techpark provides expert training in GraphQL, covering schema design, efficient data querying, API development, real-time data fetching, and integration with front-end and back-end applications.

Industry-Aligned Curriculum – Our GraphQL course is designed by industry experts to provide a perfect blend of theory and hands-on experience. The curriculum covers GraphQL schema design, efficient data querying, API development, real-time data fetching, authentication & authorization, and integration with front-end and back-end technologies

​Hands-on GraphQL Approach – IDM Techpark emphasizes practical sessions, enabling students to design and implement GraphQL APIs, optimize data queries, and integrate GraphQL with front-end and back-end technologies. Gain real-world experience in schema design, API development, and real-time data fetching using tools like Apollo Server, Apollo Client, Relay, and Express-GraphQL through hands-on projects and exercises.

​Regular GraphQL Recap Sessions – IDM Techpark offers recap sessions after each class to reinforce key GraphQL concepts, ensuring students master schema design, efficient querying, API development, and real-time data fetching for real-world applications.

Flexible Batch Schedules – We offer weekday, weekend, and fast-track batches, enabling learners to choose training schedules that best suit their availability.

Real-Time GraphQL Project Exposure – IDM Techpark provides hands-on experience with live GraphQL projects, allowing students to design schemas, optimize queries, and integrate GraphQL with real-world applications for efficient data management.

100% Placement Assistance – IDM Techpark has partnerships with over 300 companies, offering placement support, resume building, mock interviews, and career guidance to help students secure high-paying jobs

GraphQL Course Objectives

  • Mastering GraphQL for Business Analysis – Build a strong foundation in GraphQL, covering key concepts in querying, schema design, and API optimization to enhance requirement gathering, business process modeling, data analysis, and stakeholder management.

  • Proficiency in GraphQL for Business Analytics – Learn to monitor, analyze, and visualize business performance by efficiently fetching and aggregating data with GraphQL, enabling seamless data integration and real-time reporting.

  • GraphQL Infrastructure Management & Solution Development – Understand GraphQL architecture, schema stitching, and federation to develop scalable solutions that optimize communication between business applications, ensuring efficient alignment of technology with business objectives.

  • GraphQL Techniques & Optimization – Explore best practices for query optimization, caching, and performance tuning, leveraging GraphQL subscriptions and mutations to drive workflow automation, data-driven decision-making, and business efficiency.

  • Automation & Solution Deployment with GraphQL – Learn to automate data fetching, manage API versioning, implement access control, and deploy GraphQL-powered business solutions that ensure reliable, scalable, and efficient operations, driving continuous improvement in business processes.

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GraphQL  Course Trainer Profile 

Industry-Experienced GraphQL Experts – Learn from seasoned professionals with deep expertise in GraphQL, API design, data integration, and business process optimization, ensuring practical, real-world insights for effective implementation.

Comprehensive GraphQL Student Guidance – Our expert trainers mentor students in mastering GraphQL concepts, schema design, and API optimization, ensuring they can build efficient, data-driven solutions for business workflows.

Hands-on Practical GraphQL Training – Students gain real-time experience in GraphQL, mastering querying, schema design, and API optimization to streamline data integration and enhance business workflows.

Industry-Relevant GraphQL Tools – Instructors train students in essential GraphQL tools, including Apollo, GraphiQL, Postman, and Prisma, ensuring expertise in API development, data integration, and optimizing business workflows.

​Regular Progress Assessments – Trainers conduct periodic evaluations and assessments to track each student's learning progress and provide necessary improvements.

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Student Success Story of  GraphQL  Course in Erode

Aisha's Journey to Becoming a GraphQL Expert

Aisha, an MSc Computer Science graduate, initially worked in the technical support domain for a year. However, she soon realized that it wasn’t the right career path for her. Passionate about modern web development and API technologies, she decided to upskill and transition into a more technical role. After discussing her career goals with a friend and conducting thorough research, she discovered the power of GraphQL and its growing demand in the tech industry.

After exploring various learning options, Aisha chose IDM Techpark’s GraphQL Course, which provided specialized training in GraphQL schema design, querying techniques, API development, and performance optimization. The course covered hands-on experience with essential tools like Apollo Client, GraphiQL, Postman, and Prisma, ensuring a deep understanding of GraphQL’s capabilities in real-world applications. Since she was already employed, she opted for weekend classes to balance her job and studies effectively. With dedication and enthusiasm, she attended every session, mastering how to build scalable and efficient GraphQL APIs.

One of the key aspects of her learning journey was the hands-on experience she gained through real-world capstone projects. Under the mentorship of experienced trainers, she worked on GraphQL-powered applications, including designing schemas, optimizing queries, implementing authentication and authorization, and integrating GraphQL with databases and microservices. She also participated in API development challenges, case studies, and industry-relevant projects, helping her build a strong portfolio that showcased her expertise in modern API architecture.

Upon completing the course, Aisha took part in placement training provided by IDM Techpark. The training included resume building, mock interviews, GraphQL API problem-solving sessions, and coding assessments, which helped her gain confidence in facing technical interviews.

With her newly acquired skills and strong preparation, Aisha successfully cleared interviews with leading tech companies and startups, securing a GraphQL Developer role with a competitive salary package.

This opportunity marked the beginning of her successful journey in the tech industry, allowing her to work on impactful projects involving GraphQL APIs, performance optimization, and scalable backend architectures. Aisha’s story is a testament to the power of upskilling and perseverance. Her transition from a technical support role to a GraphQL professional proves that with the right training and determination, career transformation is possible. Today, she continues to grow in her field, leveraging her GraphQL expertise to build efficient, data-driven solutions for modern applications.

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right Career for you!

GraphQL Certification Training in Erode

Upon successfully completing the GraphQL Course at IDM Techpark in Erode, students will receive a prestigious certification from the institute. This certification serves as concrete proof of their expertise in GraphQL API development, validating their skills in schema design, querying, data fetching optimization, API security, and real-time data handling. It enhances their credibility in the job market, demonstrating their proficiency in building scalable, efficient, and high-performance GraphQL-based solutions.

The GraphQL Course at IDM Techpark is widely recognized by national and international organizations. Adding this certification to your resume will significantly boost your career prospects, making you a competitive candidate for roles such as GraphQL Developer, Backend Engineer, API Developer, Full-Stack Developer, and Software Engineer. The course aligns with industry best practices and incorporates cutting-edge tools such as Apollo Client, GraphiQL, Postman, Hasura, and Prisma, ensuring students are job-ready.

Under the expert guidance of our faculty, students will gain hands-on experience in designing GraphQL schemas, optimizing queries, implementing resolvers, managing API security, and integrating GraphQL with databases and microservices. They will also develop expertise in real-time data streaming, GraphQL subscriptions, and automation for efficient API development.

The course also covers critical topics such as API versioning, caching strategies, access control, and GraphQL best practices. The GraphQL Course at IDM Techpark is structured to enhance both technical skills and problem-solving abilities, empowering learners to excel in tech companies, startups, and enterprise development teams.

Earning this GraphQL certification will elevate your professional profile, unlocking exciting career opportunities in the rapidly evolving field of modern API development, full-stack engineering, and cloud-based application architecture.

Placement Session & Job Opportunities after completing GraphQL Course in Erode

Growing Demand for GraphQL Professionals – IDM Techpark, Erode

As businesses increasingly adopt modern API-driven architectures, the demand for skilled GraphQL developers is rising rapidly. Organizations need professionals who can design efficient GraphQL schemas, optimize queries, manage API integrations, and enhance data access to improve operational efficiency and drive business success in today’s fast-paced digital landscape.

  • This growing reliance on GraphQL for API development has created a surge in demand for experts proficient in schema stitching, API security, real-time data fetching, and tools like Apollo Client, GraphiQL, Postman, and Hasura.

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  • GraphQL is not limited to tech firms—industries such as healthcare, finance, e-commerce, SaaS, gaming, and telecommunications are increasingly adopting GraphQL to streamline data access, optimize performance, and enhance developer experience. With expertise in query optimization, real-time data streaming, API authentication, and federated schemas, GraphQL professionals play a crucial role in building scalable, high-performance applications.

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  • At IDM Techpark, Erode, we are committed to equipping students with industry-relevant GraphQL skills. Our comprehensive GraphQL Training Program ensures students gain practical knowledge through hands-on projects, real-world case studies, and expert mentorship. We also provide 100% placement assistance, helping students secure jobs in top tech firms and startups.

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  • GraphQL developers are in high demand, with career opportunities in tech companies, SaaS enterprises, fintech startups, cloud-based platforms, and API-driven businesses. As modern web and mobile applications continue to evolve, expertise in GraphQL API development, microservices integration, and data fetching optimization will further enhance career prospects.

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  • By enrolling in the GraphQL Course at IDM Techpark, Erode, students will gain hands-on experience, work on live GraphQL implementations, and learn best practices for API development. This ensures they are job-ready with the practical skills required to design, optimize, and deploy scalable GraphQL solutions.

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  • GraphQL professionals enjoy competitive salaries, job stability, and flexibility, including opportunities to work remotely, freelance, or contribute to innovative API-driven startups.

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