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Course Description: This course provides a comprehensive exploration of Generative AI in software development, equipping learners with the knowledge and practical skills to integrate AI models into coding, debugging, and automation workflows. Designed for software engineers and AI enthusiasts, the course covers foundational AI concepts, key models like GPT, Gemini, and Copilot, and hands-on applications through APIs and real-world demos. Learners will gain expertise in AI-powered code generation, debugging, and emerging AI techniques like embeddings, retrieval-augmented generation (RAG), and fine-tuning. The course also delves into the future of AI-driven development, human-AI collaboration, and ethical considerations. Target Audience: -Software Engineers seeking to integrate AI into their development workflows. -AI Enthusiasts interested in leveraging Generative AI for coding and automation. -Data Scientists and Developers exploring AI-driven debugging and optimization. -Product Managers looking to understand AI鈥檚 impact on software engineering. -Anyone interested in practical applications of AI tools like GitHub Copilot, ChatGPT, and CodeWhisperer. Learning Objectives By the end of this course, learners will be able to: -Understand Generative AI models and their applications in software development. -Utilize AI tools for code generation, debugging, and optimization. -Apply advanced AI techniques, including embeddings, RAG, and fine-tuning. -Implement AI-powered automation while addressing ethical considerations. -Analyze the evolving role of AI in software engineering and human-AI collaboration. Module 1: Foundations of Generative AI This module introduces the fundamentals of AI, machine learning, and deep learning, providing a solid foundation for software engineers. Learners will explore core Generative AI models, including GPT, Gemini, and LLaMA, and understand their applications in development. Practical demos with AI APIs like OpenAI and Mistral will showcase real-world integrations. Module 2: AI in Software Engineering Building on the foundations, this module focuses on AI-powered coding, debugging, and advanced Generative AI concepts. Learners will explore AI-driven development tools like GitHub Copilot and ChatGPT, understand key concepts such as embeddings and fine-tuning, and analyze the ethical implications of AI in software engineering. The module concludes with insights into the future of AI automation and human-AI collaboration.