The AGI Developer Program: Mastering Retrieval Augmented Generation (RAG) for AI Applications is a comprehensive training designed for software engineers, developers, architects, and other technical professionals interested in advancing their skills in AI-driven development. This course offers a structured path to mastering the fundamentals of Retrieval Augmented Generation (RAG), including its various architectures, use cases, and applications in industries ranging from SDLC automation to vertical AI agents. Participants will gain a deep understanding of how RAG works in conjunction with Large Language Models (LLMs) and Statistical Language Models (SLMs), enabling them to effectively implement RAG solutions in real-world scenarios. 

The program spans across multiple modules, starting with an introduction to the basics of RAG and progressing into advanced topics like Langchain, Llamaindex, and vector databases. Through practical demonstrations and hands-on labs, learners will explore different RAG architectures such as Naïve RAG, Modular RAG, and AgenticRAG. By actively participating in lab sessions, breakout room activities, and technical deep dives, participants will enhance their ability to design and develop RAG applications efficiently. These sessions offer a thorough understanding of RAG’s integration into AI workflows and real-world use cases, ensuring that learners can immediately apply their new knowledge.

Finally, the course delves into the architectural design and deployment of RAG applications on leading cloud platforms like AWS, Azure, GCP, and Databricks. Participants will also explore crucial aspects such as RAG evaluation, observability, security, and scaling, preparing them for the challenges of deploying production-ready AI applications. The program’s hands-on approach ensures that learners are equipped with the skills necessary to create, deploy, and maintain RAG-based solutions, ultimately enhancing their career prospects in the rapidly evolving field of AI development.