Generative AI to AI Agent Masterclass for Software Engineers

This masterclass, led by industry expert Mohammed Fahim, offers an intensive, hands-on path for software engineers looking to transition into the rapidly growing field of Generative AI and AI Agent development. The curriculum goes far beyond basic prompt engineering to provide deep-dive technical training on building production-ready applications. Developers will master essential tools like AWS Bedrock, OpenAI APIs, LangChain (including LangChain Expression Language or LCEL), and advanced Retrieval-Augmented Generation (RAG) frameworks. By working through practical exercises in Jupyter Notebooks, students learn to calculate costs with Tiktoken, manage embeddings, query vector databases, and build fully functional AI agents. The course also bridges the gap between different model ecosystems, comparing OpenAI models (including ChatGPT 4o, Whisper, and DALL-E 3) with alternatives like Google Gemini and GitHub Copilot. For software professionals eager to future-proof their careers, this course delivers the precise architectural understanding and coding workflows needed to integrate next-generation intelligent agents into real-world software systems. With a strong focus on actual implementation rather than just theoretical concepts, this comprehensive training helps engineers transition from consuming AI to building complex, autonomous AI systems that drive business value.