RAG, AI Agents and Generative AI with Python and OpenAI 2026

This comprehensive training program offers an immersive, hands-on journey into the rapidly evolving landscape of Generative AI, Retrieval-Augmented Generation (RAG), and autonomous AI Agents using Python and the latest OpenAI APIs. Designed specifically for software developers, data scientists, and AI engineers, this curriculum bridges the gap between theoretical machine learning concepts and production-grade applications. Throughout the course, participants will master the foundational mechanics of building highly accurate RAG systems, ensuring that large language models can access and leverage external knowledge bases effectively. Beyond basic retrieval, the course dives deep into cutting-edge paradigms including Agentic RAG, multi-agent orchestration with frameworks like CrewAI and OpenAI Swarm, and complex workflow state management using LangGraph. Students will build practical, real-world portfolio projects, including a fully functional digital waiter agentic system and a multimodal pipeline that processes text, audio, and visual data using OpenAI's Whisper and CLIP models. By the end of this journey, learners will possess the practical skills to fine-tune models, orchestrate collaborative AI teams, and deploy scalable solutions that solve real business challenges.