Generative AI (GenAI) Certification Program for Software Developers

In collaboration with Microsoft

Build apps. Without any coding.

Get 2 months of free access (worth $100) to no-code tool Rocket.new and build your own app in minutes!

AI-Powered Code Generation (Module 1):

• 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



Code Optimization and Refactoring with AI (Module 2):

• 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



AI-Powered Development Environments (Module 3):

• 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



Automated Testing and Debugging (Module 4):

• 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



Building AI-Infused Applications (Module 5):

• 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

AI-driven coding for every developer and engineer. From junior developers to tech leads, AI can supercharge your workflow.

Software Developer:

• AI-Powered Coding & Debugging – Automate repetitive coding tasks, refactor code, and resolve bugs using tools like GitHub Copilot and ChatGPT
• Seamless AI Integration – Learn to integrate AI APIs for intelligent features such as chatbots, recommendations, and automation
• Optimising Development Workflows – Enhance productivity with AI-assisted code completion, real-time suggestions, and automated testing



QA Engineer & Automation Tester:

• Automating Testing with AI – Use AI tools to generate and optimise test cases, improving coverage and efficiency
• AI-Driven Debugging & Issue Resolution – Detect and fix issues faster with AI-assisted debugging and automated root cause analysis
• End-to-End AI-Powered Quality Assurance – Leverage AI to ensure reliability, performance, and security at scale



Tech Lead & Solution Architect:

• Architecting AI-Powered Systems – Design scalable, AI-enhanced applications that support automation and better decision-making
• Strategic AI Integration – Learn how to incorporate AI workflows into enterprise-grade solutions
• Optimising Cost & Performance with AI – Improve efficiency, reduce cloud costs, and enhance system scalability using AI insights



Data Engineer & Big Data Professional:

• Optimising Data Pipelines with AI - Use AI-driven automation for data ingestion, transformation, and query optimisation.
• Enhancing Data Insights - Integrate AI models into data workflows for predictive analytics and intelligent reporting.
• AI-Driven Data Security & Governance - Leverage AI tools for anomaly detection, compliance monitoring, and data integrity checks.



AI & Machine Learning Engineer:

• Deploying AI Models in Applications - Learn to integrate pre-trained AI models into production systems without deep ML expertise.
• AI-Powered Application Development - Use AI-enhanced development tools to streamline model integration, API deployment, and scaling.
• Fine-Tuning & Optimising AI Models - Improve AI performance by refining prompts, tuning hyperparameters, and optimising inference.

• 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.

Upon completion, participants receive a Joint Certificate from us and Microsoft recognized by NSDC.

Obtaining the Generative AI Certification for Software Developers (Microsoft) is a strategic way to future-proof your software engineering career by mastering how AI can enhance coding, debugging and application development workflows. As software development increasingly incorporates tools like GitHub Copilot, AI-assisted code generation and prompt-based model integration, developers who understand these technologies are better positioned to contribute to cutting-edge projects and deliver high-quality software faster and with fewer errors. This certification helps you move beyond basic programming skills into a realm where you can leverage generative AI to automate repetitive tasks, enhance problem-solving and build intelligent applications - competencies that many employers now treat as essential rather than optional. Employers value this type of skill because it directly influences productivity, speed of delivery and innovation, making certified developers more attractive candidates than peers without formal credentials in this area.

In the U.S. job market, developers with AI and generative AI skills command a significant salary premium compared with their traditionally trained counterparts. Data on AI-centric roles indicate that careers involving AI engineering and software development can offer median salaries well above the national average for software engineers, with many AI-focused positions earning $130,000–$206,000 or more annually, and senior roles often exceeding that range. Employers are willing to pay up to 30–47% higher salaries for candidates with demonstrable AI expertise, reflecting the scarcity of qualified talent and the strategic value they bring to product development and automation initiatives. By earning a Microsoft-aligned generative AI certificate, you not only validate your technical capabilities but also enhance your earning potential, negotiation leverage, and long-term career mobility in a sector that is rapidly transitioning toward AI-augmented development.

He is an experienced AI and machine learning specialist with deep expertise in generative AI technologies, including natural language processing, computer vision and AI-powered automation tools. With hands-on experience deploying AI solutions across diverse industries, he brings practical insights into leveraging GenAI for real-world business applications. Known for his clear and engaging teaching style, he simplifies complex AI concepts and guides learners through practical exercises and use cases. His training empowers professionals to harness the power of generative AI to enhance creativity, productivity and decision-making.

Standout features of GenAI Mastery Program: