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

RAG, AI Agents and Generative AI with Python and OpenAI 2026
2026-02-22
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

What you’ll learn
Build Retrieval-Augmented Generation (RAG) systems using Python and OpenAI.
Develop AI Agents with state management and memory using OpenAI Swarm.
Master Generative AI models like OpenAI GPTs for text generation.
Leverage Agentic RAG and LangChain for efficient retrieval systems.
Integrate Multimodal RAG using text, audio, and images with Whisper and CLIP models.
Build real-world projects, including a capstone project analyzing financial data.
Stay ahead with the latest advancements in AI, Generative AI, and AI Agents in 2026.
Develop AI Agents using CrewAI for advanced task automation and orchestration.
Deploy an Agentic RAG System with LangGraph for a Digital Waiter.
Fine-tune GPT models using Python for customized AI solutions.

Requirements
Python Proficiency (For Loops, Functions)

Description
Who this course is for:
Data Scientists and Machine Learning Engineers looking to deepen their knowledge of generative AI systems., AI Researchers and Enthusiasts interested in exploring the latest advancements in (RAG) and generative AI technologies., oftware Developers and Programmers who want to expand their skill set to include AI and machine learning techniques., Technical Product Managers and AI Strategists who manage AI projects and need a deeper technical understanding of how RAG systems work and their potential applications., AI Consultants and Data Analysts aiming to add AI capabilities to their skillset, Entrepreneurs and business leaders in the tech space who want to understand the potential of RAG systems and generative AI to innovate.

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