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Generative AI Mastery Certificate for Software Development with Microsoft

Generative AI Mastery Certificate for Software Development

AI-driven coding for every developer and engineer

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Gen AI for Software Development
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Microsoft
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Built to outperform every other AI program out there
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AI Dev Tools

Prerequisites for Generative AI Mastery for Software Development

Prerequisites and Eligibility
Prerequisites and Eligibility

Master AI Tools with Our Gen AI Course

Master 6+ Top AI tools

Get hands-on experience of AI software development and automation testing tools.

Gen AI Foundations
  • 500k+
    Career Transformations
  • 250+
    Workshops every month
  • 100+
    Countries and counting

Why choose this program?

Standout features of Gen AI Mastery Program

Build AI Agents

Turn ideas into intelligent agents that research, communicate & solve problems on autopilot

Automate Daily Workflows

Eliminate repetitive tasks and save hours with AI-powered automation and no-code tools

Create CustomGPTs

Design GPTs tailored to your projects and workflows - your own AI assistants on demand

Azure AI Sponsorship

Direct pathway for Microsoft Azure AI Certification Exam

AI-Led Career Growth

Master in-demand AI skills to build resumes, ace interviews & unlock career opportunities

Capstone: Real Sprints

Tackle real-world sprint challenges and team workflows in a hands-on capstone project

Gen AI Mastery for Software Development Course Curriculum

Learn AI Basics and Apply it in Your Domain

1. AI-Powered Code Generation

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

2. Code Optimization and Refactoring with AI

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

3. AI-Powered Development Environments

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

4. Automated Testing and Debugging

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

5. Building AI-Infused Applications

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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AI-driven coding for every developer and engineer
From junior developers to tech leads, AI can supercharge your workflow
  • AI-Powered Coding and Debugging: Automate repetitive coding tasks, refactor code, and resolve bugs using AI tools like GitHub Copilot and ChatGPT.
  • Seamless AI Integration: Learn to integrate AI APIs for intelligent features like chatbots, recommendations, and automation.
  • Optimising Development Workflows: Enhance productivity with AI-assisted code completion, real-time suggestions, and automated testing.
Everyone

Looks great on your desk, your CV, and on LinkedIn.

Get certified by Microsoft, upGrad and NSDC

Gen AI Mastery for Software Development Certificate
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LinkedIn

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OUR SUPPORT SYSTEM FOR Generative AI Mastery TRAINING

Meet the Team That's Invested in Your Success

Instructors

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Deepak Singhal

VP-Technology, Valtech

Deepak is VP of Tech at Valtech, with 18+ yrs in AI, cloud, big data & security—driving scalable, secure digital transformation.

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Experience: 26+ Years
LinkedIn
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Manish Shukla

Head of GenAI, NatWest Group

Manish is Head of Generative AI at NatWest Group, with 15+ yrs in AI, MLOps & Responsible AI across finance, telecom & cloud.

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Experience: 18+ Years
LinkedIn
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Dhanasekar Subramaniam

VP – Test & Automation, Moolya

Dhanasekar is a testing leader and author of The Pragmatic Tester, with 20 yrs in context-driven, growth-focused QA strategy.

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Experience: 19+ Years
LinkedIn
Frequently Asked Questions (FAQs)

Gen AI Mastery for Software Development Program FAQs

Frequently Asked Questions

1. Who is this course designed for?

This course is ideal for software developers, engineers, and tech professionals looking to integrate Generative AI into their development workflow. It benefits those aiming to improve coding efficiency, automate debugging, and build AI-powered applications.

2. How long does it take to complete the course?

The program runs for 8 weeks. It is designed to accommodate working professionals with a flexible learning schedule.

3. How does this certificate help in career growth?

This certification provide you with AI-powered development skills, making you a valuable asset in the tech industry. You’ll gain expertise in AI-driven coding, automation, and debugging, helping you land roles such as AI Software Developer, AI Engineer, or Full-Stack Developer.

4. What programming languages are required for this course?

The course primarily focuses on AI-assisted development in Java, Python and JavaScript. A basic understanding of programming concepts is recommended, but the AI tools covered in the course help automate and simplify complex coding tasks.

5. Does this course include hands-on projects?

Yes, the program includes multiple hands-on projects, such as building an AI-powered streaming app, optimizing code using AI, building a diet recommendation application and deploying it, ensuring practical experience in AI-integrated development.

6. What is the learning format of this course?

The course follows a flexible online learning model with recorded sessions, hands-on projects, and mentorship from industry experts, allowing you to learn at your own pace while balancing work and study.

Earlybird: Unlock Gen AI Mastery Certificate

Master Your Domain and Stand Out