In this module, you'll explore how modern LLMs and prompt design accelerate everyday coding tasks. You'll learn how to set up your AI environment, craft effective prompts, and evaluate outputs for accuracy and safety. You'll gain hands-on experience generating small code units, refactoring legacy snippets, and producing quick diagrams or static site prototypes—then you'll verify, test, and iterate your prototype to improve results.

In this module, you will explore how generative AI supports software architecture, design patterns, and code generation. You will use AI tools to generate architecture and design diagrams, create database schemas from requirements, build web prototypes, and troubleshoot coding problems. The module emphasizes best practices for scalable, maintainable, and efficient software design using AI assistance.

In this module, you will learn how generative AI transforms software development by integrating advanced AI techniques into continuous integration and deployment (CI/CD), security, testing, and documentation workflows. You will gain hands-on experience with practical tools like Docker and AI-powered test case generation, code translation, and review. Additionally, you will explore essential considerations, including ethical use, security, and best practices for embedding AI in development lifecycles. To support your learning, the module also provides a concise cheat sheet summarizing key concepts and tools related to generative AI in DevSecOps and software testing, serving as a quick reference to enhance your workflow.

This module introduces you to the fundamentals of agentic AI and vibe coding. Learn what AI agents are, how they are built using frameworks like N8N and RAG, and how to integrate AI agents with your data and APIs. You'll also explore AI-assisted coding approaches, compare these approaches with traditional methods, and experiment with tools such as Cursor and Bolt. By the end of this module, you'll be able to demonstrate your ability to apply core concepts and practices that make modern coding more adaptive and intelligent.

In this final module, you will consolidate your learning by engaging with a comprehensive project that challenges you to build a personalized learning platform for developers using generative AI. Starting with pre-work to organize your approach, you will explore the project scope and objectives in detail before applying generative AI models to create adaptive learning experiences in CodeCraftHub. The module culminates with a final exam that assesses your understanding and ability to apply generative AI concepts effectively in software development scenarios, preparing you for real-world implementation.