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

Mastering Retrieval-Augmented Generation (RAG), Generative AI (Gen AI), AI Agents, Agentic RAG, OpenAI API with Python

UPDATES NOVEMBER 2025

• 2026 Version of the course released with all code up to date.

• OpenAI Responses Endpoint and GPT-5 implemented across the sections.

• New no-code RAG with Flowise.

• New Project with Streamlit.

UPDATES JUNE 2025

• Launched 2 sections: Image Generation with OpenAI and Reasoning Models

• MCP is now live!

UPDATES MAY 2025

• Launch of 2 new sections: RAG with OpenAI File Search and RAGAS

• Minor video remakes due to mistakes.

UPDATES APRIL 2025:

• Remake of 3 sections: Retrieval Fundamentals, Generative Fundaments and Introduction to RAG

• Added Knowledge Graphs with Light RAG

UPDATES DECEMBER 2024:

• Fine Tuning OpenAI GPT-4o

• Python Crash Course + Self-assessment

UPDATES NOVEMBER 2024:

• CrewAI and CrewAI Capstone Project launched

• The section on OpenAI API for Text and Images is live + OpenAI API Capstone Project

UPDATES OCTOBER 2024:

• OpenAI Swarm is live

• Agentic RAG is live

• Multimodal RAG Project is live

Unlock the Power of RAG, AI Agents, and Generative AI with Python and OpenAI in 2026!

Welcome to "RAG, AI Agents, and Generative AI with Python and OpenAI 2026"—the ultimate course to master Retrieval-Augmented Generation (RAG), AI Agents, and Generative AI using Python and OpenAI's cutting-edge technologies.

If you aspire to become a leader in artificial intelligence, machine learning, and natural language processing, this is the course you've been waiting for!

Why Choose This Course?

• Full stack RAG: retrieval → augmentation → grounded generation with citations, sources, and guardrails.

• OpenAI-first: GPT-5, Responses Endpoint, File Search vector stores, image generation, Whisper, CLIP.

• No-code + code: Flowise visual pipelines and Python implementations (FAISS, LangChain, Streamlit).

• Evaluation-driven: RAGAS metrics (context precision/recall, response relevancy, factual correctness).

• Agentic systems: CrewAI and OpenAI Swarm for multi-agent orchestration, tools, memory, and state.

• Advanced GenAI: reasoning models (setup, prompting, verification), fine-tuning, MCP approvals, secure integrations.

• Business outcomes: customer support copilots, knowledge search, policy Q&A, analytics assistants, finance research, content operations.

About Your Instructor

Hi, I'm Diogo, a data expert with a Master's degree in Management specializing in Analytics from ESMT Berlin.

With extensive experience tackling complex business challenges—from managing billion-euro sales planning to conducting A/B tests that led to significant investments—I bring real-world expertise to this course.

As a startup founder helping restaurants worldwide optimize menus and pricing through data insights, I'm passionate about leveraging AI for practical solutions.

Personalized Support

One of the key benefits of this course is the direct access to me as your instructor.

I personally respond to all your questions within 24 hours.

No outsourced support—just personalized guidance to help you overcome challenges and advance your skills.

Continuous Improvements

I'm dedicated to keeping this course up-to-date with the latest advancements in AI.

Your feedback shapes the course—I'm always listening and ready to add new content that benefits your learning journey.

Hands-on projects you actually ship

• No-code Flowise RAG (zero to answers with citations).

• OpenAI File Search RAG + Streamlit app (upload, index, chat).

• Unstructured data RAG (Excel/Word/PPT/EPUB/PDF).

• Multimodal RAG (Whisper + CLIP + cosine search).

• CrewAI & Swarm agent systems (researcher, writer, counselor, product manager).

• Reasoning model demos (setup, prompting, verification).

• Image generation pipelines (single/batch edits, animated GIFs).

• Fine-tuned GPT evaluation and testing.

What You'll Learn

• RAG architecture: retrieval, augmentation, grounded generation, source citations, metadata.

• Embeddings & vector stores: semantic search, nearest neighbors, FAISS, File Search.

• Chunking strategies: fixed/semantic/hierarchical, overlaps, LongRAG.

• System messages and prompt engineering: temperature, top-p, few-shot, persona.

• Reasoning models: chain-of-thought controls, verification, structured output.

• Agentic patterns: planning, tool use, memory/state, error handling.

• MCP with approvals: safe external actions (web fetch, APIs, Stripe).

• Evaluation with RAGAS: context precision/recall, relevancy, factual correctness.

• Deployment: Streamlit, environment secrets, requirements, debugging.

Why Master RAG and AI Agents Now?

The future of AI lies in systems that can retrieve relevant information and generate intelligent responses—Retrieval-Augmented Generation is at the forefront of this revolution.

By mastering RAG, AI agents, and generative models, you position yourself at the cutting edge of technology, making you invaluable in today's tech landscape.

Get Started Today!

• Lifetime Access: Enroll now and get lifetime access to all course materials and updates.

• Interactive Learning: Engage with coding exercises, challenges, and real-world projects.

• Support: Get your questions answered from me, Diogo, in less than 24 hours.

• Certification: Receive a certificate upon completion to showcase your new skills.

Don't Miss Out!

The world of AI is advancing rapidly.

Stay ahead of the curve by enrolling in "RAG, AI Agents, and Generative AI with Python and OpenAI 2026" today. Unlock endless possibilities in AI and machine learning!

Enroll Now and transform your career with the most comprehensive RAG and Generative AI course available!