Kolkata, India

Generative AI

GitHub Copilot for Developersin Kolkata

GitHub Copilot for Developers training in Kolkata, India provides practical skills to use AI-powered coding assistance for software development. Learn GitHub Copilot features, code generation, code completion, prompt engineering, debugging…

40 Jours/2 daysLive virtual trainingIntermediate

Classroom training and venue arrangements depend on the availability of a suitable conference hall in Kolkata, India. Dates, seating capacity, facilities and the final venue are confirmed before booking.

Learning in Kolkata, India

City details

Kolkata combines regional culture, business activity and growing demand for professional skills.

City speciality

Culture, enterprise and professional communities

Classroom availability and venue

Classroom training and venue arrangements depend on the availability of a suitable conference hall in Kolkata, India. Dates, seating capacity, facilities and the final venue are confirmed before booking.

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Explore GitHub Copilot for Developers

GitHub Copilot for Developers training in Kolkata, India provides practical skills to use AI-powered coding assistance for software development. Learn GitHub Copilot features, code generation, code completion, prompt engineering, debugging, refactoring, testing, documentation, and developer productivity. This course helps developers integrate AI into modern development workflows, improve coding efficiency, and build quality applications while understanding responsible AI practices and effective GitHub Copilot usage.

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Learning from Kolkata

Kolkata combines regional culture, business activity and growing demand for professional skills.

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City-page course benefits

  • Master GitHub Copilot for Developers – Build practical expertise in AI-powered coding assistance and modern software development workflows in Kolkata, India.
  • Accelerate Code Development – Learn how GitHub Copilot can assist with code completion, generation, and development tasks to improve productivity in Kolkata, India.
  • Improve Programming Efficiency – Use AI-assisted development techniques to write, understand, and modify code more efficiently across supported programming languages in Kolkata, India.
  • Learn Effective Copilot Prompting – Develop skills for writing clear coding prompts and instructions to generate more relevant and useful development suggestions in Kolkata, India.
  • Enhance Debugging Skills – Learn how to use GitHub Copilot to analyze code, identify potential issues, and support debugging activities in Kolkata, India.
  • Strengthen Testing Capabilities – Explore AI-assisted approaches for generating test cases, test code, and validation scenarios during software development in Kolkata, India.
  • Improve Code Documentation – Use GitHub Copilot to assist with comments, documentation, explanations, and technical descriptions for development projects in Kolkata, India.
  • Support Code Refactoring – Learn techniques for using AI assistance to improve code structure, readability, maintainability, and development quality in Kolkata, India.
  • Integrate AI Into IDE Workflows – Gain hands-on experience using GitHub Copilot within supported development environments to create more efficient coding workflows in Kolkata, India.
  • Boost Developer Productivity – Apply AI-assisted programming techniques to reduce repetitive coding tasks and focus more effectively on application logic and problem solving in Kolkata, India.
  • Develop Modern AI-Assisted Development Skills – Understand responsible and effective use of AI coding tools as part of contemporary software engineering practices in Kolkata, India.
  • Prepare for AI-Enabled Developer Roles – Build practical GitHub Copilot skills that can support career growth in software development, application engineering, and AI-assisted programming in Kolkata, India.

Course curriculum

Module 1: Introduction to GitHub Copilot

  • Understanding GitHub Copilot – Learn the fundamentals, purpose, capabilities, and role of GitHub Copilot in modern software development in Kolkata, India.
  • AI-Assisted Software Development – Explore how AI can support developers across coding, debugging, testing, documentation, and software delivery workflows in Kolkata, India.
  • GitHub Copilot Plans and Access – Understand Copilot access, plans, supported environments, and organizational considerations in Kolkata, India.

Module 2: Setting Up GitHub Copilot

  • GitHub Copilot Account Setup – Configure GitHub Copilot and understand the requirements for accessing its development features in Kolkata, India.
  • IDE Integration – Set up GitHub Copilot in supported development environments and configure the developer workspace in Kolkata, India.
  • Copilot Configuration – Explore settings, permissions, suggestions, and usage preferences for effective AI-assisted development in Kolkata, India.

Module 3: GitHub Copilot Code Suggestions

  • Inline Code Completion – Learn how Copilot generates contextual coding suggestions while developers write code in Kolkata, India.
  • Natural-Language Code Generation – Use comments and natural-language instructions to generate functions, classes, snippets, and application components in Kolkata, India.
  • Next Edit Suggestions – Explore AI-assisted suggestions for potential changes and improvements during development in Kolkata, India.

Module 4: GitHub Copilot Chat

  • Introduction to Copilot Chat – Learn how conversational AI can assist with programming questions, development tasks, and technical explanations in Kolkata, India.
  • Code Explanation and Analysis – Use Copilot Chat to understand unfamiliar code, files, repositories, and programming concepts in Kolkata, India.
  • Context-Aware Developer Assistance – Learn how to provide relevant context to obtain more useful coding responses in Kolkata, India.

Module 5: Prompt Engineering for Developers

  • Developer Prompting Fundamentals – Learn how to create clear and specific prompts for generating reliable coding assistance in Kolkata, India.
  • Context and Constraints – Understand how requirements, project context, coding standards, and constraints influence AI-generated responses in Kolkata, India.
  • Iterative Prompting Techniques – Practice refining prompts and reviewing responses to improve development outcomes in Kolkata, India.

Module 6: AI-Assisted Programming

  • Code Generation Techniques – Generate application logic, reusable functions, data structures, and programming components with GitHub Copilot in Kolkata, India.
  • Multi-Language Development – Explore AI-assisted development across commonly used programming languages and frameworks in Kolkata, India.
  • API and Query Assistance – Use Copilot to assist with API usage, database queries, and infrastructure-as-code development in Kolkata, India.

Module 7: Code Understanding and Refactoring

  • Code Explanation – Analyze existing implementation logic and improve understanding of complex codebases in Kolkata, India.
  • Refactoring Assistance – Use AI assistance to explore cleaner, more maintainable, and more readable code structures in Kolkata, India.
  • Code Transformation – Apply Copilot to modify and adapt existing code according to development requirements in Kolkata, India.

Module 8: Debugging and Problem Solving

  • Bug Identification – Use GitHub Copilot to investigate potential causes of coding errors and application issues in Kolkata, India.
  • Error Analysis – Provide error messages, logs, and relevant context to support AI-assisted troubleshooting in Kolkata, India.
  • Solution Validation – Review, test, and validate AI-generated fixes before applying them to production applications in Kolkata, India.

Module 9: AI-Assisted Testing

  • Unit Test Generation – Use GitHub Copilot to create unit testing code for application components in Kolkata, India.
  • Test Scenario Development – Generate test scenarios and edge cases based on application requirements in Kolkata, India.
  • Test Improvement – Use AI assistance to enhance test coverage, readability, and maintainability while validating generated tests in Kolkata, India.

Module 10: Documentation with GitHub Copilot

  • Code Documentation – Generate comments, explanations, and technical documentation for application code in Kolkata, India.
  • README Development – Use Copilot to assist with project documentation and developer onboarding materials in Kolkata, India.
  • Technical Content Generation – Create structured explanations and documentation while reviewing AI-generated content for accuracy in Kolkata, India.

Module 11: GitHub Copilot Agent Mode

  • Understanding Agent Mode – Explore how Copilot can work through multi-step development tasks within supported IDE environments in Kolkata, India.
  • Task Planning and Execution – Provide high-level requirements and allow Copilot to analyze files, propose changes, and work through development tasks in Kolkata, India.
  • Reviewing Agent Changes – Learn how to inspect generated edits and proposed commands before accepting changes in Kolkata, India.

Module 12: Copilot Customization and Instructions

  • Custom Instructions – Configure project-specific instructions to guide Copilot responses according to development standards in Kolkata, India.
  • Repository Context – Provide relevant project information and conventions to improve AI-assisted development results in Kolkata, India.
  • Reusable Prompts and Customization – Explore methods for tailoring Copilot to specific development workflows and project requirements in Kolkata, India.

Module 13: GitHub Copilot and Software Development Workflows

  • Issue-Based Development – Explore how Copilot can assist developers in understanding and implementing tasks originating from GitHub issues in Kolkata, India.
  • Pull Request Workflows – Learn how AI assistance can support pull request preparation, summaries, and development activities in Kolkata, India.
  • AI-Assisted Software Lifecycle – Understand how Copilot can support development activities from planning through implementation and review in Kolkata, India.

Module 14: GitHub Copilot Code Review

  • AI-Assisted Code Review – Learn how GitHub Copilot can review pull requests and provide suggestions for potential improvements in Kolkata, India.
  • Reviewing Suggested Changes – Evaluate AI-generated review comments and determine which recommendations should be applied in Kolkata, India.
  • Repository Review Instructions – Understand how repository-specific instructions can help guide Copilot code reviews according to project standards in Kolkata, India.

Module 15: GitHub Copilot CLI and Developer Tools

  • Copilot CLI Fundamentals – Explore GitHub Copilot CLI capabilities for AI-assisted development tasks from the command line in Kolkata, India.
  • Command Assistance – Learn how natural-language interaction can support command-line development workflows in Kolkata, India.
  • Developer Workflow Integration – Apply Copilot-assisted command-line techniques to practical development scenarios in Kolkata, India.

Module 16: MCP and AI Tool Integration

  • Model Context Protocol Fundamentals – Understand how MCP can extend AI coding workflows with external tools and contextual information in Kolkata, India.
  • MCP Server Integration – Explore how supported MCP servers can provide additional capabilities to GitHub Copilot workflows in Kolkata, India.
  • Tool-Enabled Development – Learn how AI agents can interact with external tools while maintaining developer oversight and review in Kolkata, India.

Module 17: Responsible and Secure AI-Assisted Development

  • Reviewing AI-Generated Code – Learn why developers must validate generated code for correctness, quality, maintainability, and security before use in Kolkata, India.
  • Security and Privacy Considerations – Understand important security, privacy, intellectual property, and organizational considerations when using AI coding tools in Kolkata, India.
  • Responsible AI Practices – Apply responsible practices when incorporating AI-generated content and code into software development workflows in Kolkata, India.

Module 18: Hands-On GitHub Copilot Developer Project

  • Project Planning – Define application requirements and create an AI-assisted development plan using GitHub Copilot in Kolkata, India.
  • Application Development – Build application components using code suggestions, Copilot Chat, prompting, debugging, testing, and agent-assisted workflows in Kolkata, India.
  • Testing and Code Review – Validate the application, review AI-generated code, improve implementation quality, and prepare the project for delivery in Kolkata, India.
  • Project Presentation – Demonstrate the completed GitHub Copilot project and explain the development approach, AI-assisted techniques, and validation process in Kolkata, India.

Exam details

  • Exam Level: Intermediate – GitHub Copilot for Developers in Kolkata, India
  • Exam Type: Online computer-based assessment covering GitHub Copilot, AI-assisted software development, prompting, code generation, debugging, testing, code review, responsible AI, and developer productivity in Kolkata, India.
  • Number of Questions: 40 questions designed to evaluate practical knowledge and understanding of GitHub Copilot development workflows in Kolkata, India.
  • Exam Duration: 90 minutes to complete the online assessment in Kolkata, India.
  • Passing Score: 70% or 28 out of 40 questions must be answered correctly to pass the StepMerit course assessment.
  • Question Format: Multiple-choice, scenario-based, and practical knowledge questions covering real-world GitHub Copilot development situations in Kolkata, India.
  • Core Exam Topics: GitHub Copilot fundamentals, IDE integration, code generation, Copilot Chat, prompt engineering, debugging, testing, documentation, refactoring, agent mode, code review, customization, MCP, security, privacy, and responsible AI in Kolkata, India.
  • Practical Assessment: Scenario-based questions evaluate the learner's ability to select appropriate GitHub Copilot features and apply AI-assisted development techniques to software engineering challenges in Kolkata, India.
  • Assessment Delivery: The exam is conducted online, allowing learners to demonstrate their GitHub Copilot knowledge through a structured digital assessment in Kolkata, India.
  • Course Certification: Successful candidates receive a StepMerit Learning Course Completion Certificate for GitHub Copilot for Developers training in Kolkata, India.
  • Official Microsoft Certification: The Microsoft GitHub Copilot certification (GH-300) is a separate official certification exam. It is currently an intermediate-level certification with a 100-minute exam duration and a passing score of 700 or higher.

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Who this course is for

Software Developers – Professionals who want to use GitHub Copilot for AI-assisted coding, code generation, debugging, testing, and development productivity in Kolkata, India. Software Engineers – Engineers looking to integrate AI-powered coding assistance into modern software engineering and application development workflows in Kolkata, India. Full Stack Developers – Developers seeking to apply GitHub Copilot across frontend, backend, API, database, testing, and application development tasks in Kolkata, India. Frontend and Backend Developers – Developers who want to improve programming efficiency and use AI assistance for application components, code analysis, debugging, and refactoring in…

Before you begin

Programming Fundamentals – Basic understanding of programming concepts, variables, functions, data structures, and software development is recommended for GitHub Copilot training in Kolkata, India. Programming Language Knowledge – Familiarity with at least one programming language such as Python, Java, JavaScript, C#, or TypeScript is helpful for effectively using GitHub Copilot in Kolkata, India. Software Development Basics – Understanding of application development, debugging, testing, and common software development practices will help learners get the most from the course in Kolkata, India. Git and GitHub Fundamentals – Basic knowledge of Git repositories, commits, branches, pull…

Learning outcomes

Problem Statement – A healthcare organisation's development teams work on applications involving patient portals, appointment systems, healthcare data management, clinical-support applications, APIs, and internal business platforms. Developers may spend significant time writing repetitive code, creating test cases, debugging issues, preparing documentation, and understanding existing codebases. Traditional development approaches can increase development effort and make it challenging to maintain consistent code quality across projects. The challenge is to effectively use GitHub Copilot as an AI-powered development assistant to improve developer productivity, accelerate software development…

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