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.NET Developer Productivity with AI: Copilots, Automation, and Intelligent Workflows

Duration: 18 Hours

Difficulty Level: Intermediate

Audience: Professionals

Certificate of Completion by Code.Hub

This training equips .NET developers with the skills to leverage Generative AI tools and copilots to significantly enhance productivity across the software development lifecycle. Participants will explore how AI-assisted coding tools such as GitHub Copilot integrate with Visual Studio to accelerate development, improve code quality, and reduce repetitive tasks. The course covers intelligent code generation, refactoring, testing automation, and documentation using AI. It also introduces the design of AI-powered workflows within .NET applications, including integration with LLMs, APIs, and orchestration layers. Hands-on labs demonstrate how to build intelligent features such as natural language interfaces, automated decision services, and smart assistants within enterprise applications. Emphasis is placed on maintainability, security, and responsible AI usage in production environments. By the end of the training, participants will be able to augment their development processes and applications with AI-driven capabilities.

By the end of this module, participants will be able to:

  • Use AI copilots to accelerate coding, debugging, and refactoring in .NET environments
  • Automate testing, documentation, and code generation workflows using AI tools
  • Integrate LLM capabilities into .NET applications via APIs and SDKs
  • Design intelligent application features such as assistants and decision-support components
  • Apply best practices for secure, maintainable, and production-ready AI-augmented systems

Foundations of AI in Development

  • Overview of AI in software engineering, productivity impact, introduction to GitHub Copilot

AI Practice: AI-assisted Git/Copilot setup

 

Code Generation Techniques

  • Writing effective prompts/comments, generating methods, APIs, refactoring patterns using AI

AI Practice: AI-assisted Development of boiler plate code

Hands-on ASP.NET Core Development

 

  • Building Web API endpoints, improving code structure and speed

AI Practice: Design and evaluation using Gen AI tools

 

Code Understanding & Bug Detection

  • Explaining code, identifying issues, root cause analysis using AI tools

AI Practice: Using to evaluate code, provide suggestions, Critique Design

AI-Generated Documentation

  • Creating API documentation, summarizing codebases, generating technical explanations

AI Practice: Using AI to create documentation and explanations

 

 

Automated Test Generation

  • Generating unit and integration tests, identifying edge cases, improving coverage

AI Practice: Using AI to create tests from code and code from tests

 

 

Automated Test Generation

  • Generating unit and integration tests, identifying edge cases, improving coverage

AI Practice: Using AI to create tests from code and code from tests

 

 

Responsible AI Usage

  • Risks (code leakage, prompt injection), secure usage patterns and guidelines

AI Practice: Best practices in AI secure usage

 

 

Efficient AI Usage

  • AI optimization, when to use AI vs manual coding, reducing noise and cost

AI Practice: Estimation and management of AI costs

Roles:

  • .NET Developer
  • Software Engineer
  • Technical Lead

Seniority:

  • Mid to Senior Level
  • Solid experience with C# and the .NET ecosystem including Visual Studio and basic application architecture
  • Familiarity with REST APIs and general software development lifecycle practices

Sessions can be delivered via the following formats:

  • Live Online – Interactive virtual sessions via video conferencing
  • On-Site – At your organization’s premises
  • In-Person – At Code.Hub’s training center
  • Hybrid – A combination of online and in-person sessions

Interested for

.NET Developer Productivity with AI: Copilots, Automation, and Intelligent Workflows
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