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From junior developers to tech leads, AI can supercharge your workflow
Standout features of GenAI Mastery Program
Get up to 4 prestigious certificates
Sponsorship for Microsoft Azure AI Engineer Certificate Exam + free GitHub Copilot license
Learn from top AI developers and tech leaders building real products
Looks great on your desk, your CV, and on LinkedIn.
Get to know the course in-depth by downloading the course brochure
Master 15+ top AI tools
Get hands-on experience of AI software development and automation testing tools
Learn AI basics and apply it in your domain
AI-Powered Code Generation
Module 1
Master AI-assisted coding with tools like GitHub Copilot and ChatGPT to enhance the software development lifecycle. Learn how AI can generate code for all parts of software development lifecycle.
Topics covered
AI-powered coding tools and their real-world applications
Effective prompt engineering for AI-assisted development
Generate boilerplate code and project templates
Ensuring AI-generated code quality and reliability
[Microsoft Learn] GitHub Copilot Fundamentals - Understand the AI pair programmer
Skills acquired
AI-assisted coding
Debugging automation
Prompt engineering
AI-driven development
Code validation
Code Optimization and Refactoring with AI
Module 2
Enhance performance, scalability, and security using AI-driven refactoring and optimisation techniques. Learn to write high-performance, maintainable code for non-functional requirements using AI tools.
Topics covered
AI-driven code refactoring and debugging
Scaling applications with modular design and asynchronous processing
Database query optimisation using AI-powered tools
Strengthening security by preventing vulnerabilities like SQL injection and XSS
[Microsoft Learn] Introduction to GitHub Copilot Enterprise
Skills acquired
Code optimisation
AI-assisted refactoring
Performance tuning
Security enhancement
Database optimisation
AI-Powered Development Environments
Module 3
Leverage AI-driven development tools to accelerate coding, improve collaboration, and streamline workflows. Master AI-powered IDEs, frontend automation, and AI-assisted code reviews.
Topics covered
AI-powered code completion tools (Copilot, Claude AI, Bolt)
AI-assisted frontend development and UI automation
AI-enhanced collaboration for pull requests and merge conflict resolution
Security and compliance in AI-powered development
Skills acquired
AI code completion
Frontend automation
IDE optimisation
Code collaboration
Secure coding
Automated Testing and Debugging
Module 4
Use AI to automate testing, improve debugging speed, and ensure software reliability. Learn how AI-powered tools optimise test case generation and debugging workflows.
Topics covered
AI-powered unit, integration, and end-to-end testing
AI-assisted test case generation and edge case detection
Debugging applications with AI-driven root cause analysis
AI-enhanced API and UI testing workflows
[Microsoft Applied Skills] Deploy cloud-native apps using Azure Container Apps
Skills acquired
AI test automation
Bug detection
Debugging optimisation
API testing
UI testing
Building AI-Infused Applications
Module 5
Integrate AI functionalities into real-world applications using OpenAI APIs. Learn to build, optimise, and deploy AI-powered applications with seamless AI and software integration.
Topics covered
Developing AI-powered applications with OpenAI API
Integrating AI functionalities within full-stack applications
AI-driven frontend optimisation and UI enhancement
Deploy the application on render
[Microsoft Applied Skills] Develop generative AI apps with Azure OpenAI and Semantic Kernel
Skills acquired
AI application development
API integration
Full-stack AI
AI-driven UI
Render Deployment
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1.The above statistics depend on various factors and individual results may vary. Past performance is no guarantee of future results.
2.The student assumes full responsibility for all expenses associated with visas, travel, & related costs. upGrad does not provide any a.
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2 months
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