Description

RAG, AI Agents & Generative AI with Python and OpenAI (2026 Edition)

Master Retrieval-Augmented Generation, AI Agents, and Generative AI with the most updated, practical, and industry-ready course for 2026.

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Requirements

• Basic Python knowledge (loops, functions)

• Willingness to learn and practice hands-on projects

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Latest Course Updates

November 2025

• Complete 2026 version released

• All code upgraded with the latest OpenAI Responses API and GPT-5

• New No-Code RAG with Flowise

• New Streamlit project added

June 2025

• Added: Image Generation with OpenAI

• Added: Reasoning Models Module

• MCP (Model Context Protocol) fully integrated

May 2025

• New Sections:

  • RAG with OpenAI File Search

  • RAGAS Evaluation

• Remade several videos for clarity

April 2025

• Rebuilt sections: Retrieval Fundamentals, Generative Fundamentals, Intro to RAG

• Added: Knowledge Graphs with LightRAG

December 2024

• Fine-Tuning with OpenAI GPT-4o

• Python Crash Course + Self-Assessment

November 2024

• CrewAI & Capstone Project released

• OpenAI API for Text & Images

• OpenAI API Capstone Project added

October 2024

• OpenAI Swarm released

• Agentic RAG Module

• Multimodal RAG Project

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Course Overview

Unlock the full potential of RAG (Retrieval-Augmented Generation), AI Agents, and Generative AI using Python and OpenAI’s advanced technologies.

This course is ideal for anyone who wants to become highly skilled in real-world AI systems, intelligent automation, and next-generation LLM engineering.

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Why This Course Is Different

✔ Full-Stack RAG System Design

• Retrieval → Augmentation → Grounded Generation

• Metadata, citations, guardrails, and validation

✔ OpenAI-First Approach

• GPT-5, Responses Endpoint, File Search

• Whisper, CLIP, Image Generation

✔ Both No-Code & Code Options

• Flowise (No-Code RAG)

• Python (FAISS, LangChain, Streamlit)

✔ Evaluation-Focused

• RAGAS metrics:

  • Context precision & recall

  • Response relevancy

  • Factual correctness

✔ Advanced Agentic Systems

• CrewAI, OpenAI Swarm

• Multi-agent orchestration

• Tool use, memory, conversation state

✔ Modern GenAI Workflows

• Reasoning models and verification

• Fine-tuning techniques

• MCP with approvals (safe API actions)

✔ Practical Business Applications

• AI copilots for customer support

• Knowledge-base assistants

• Policy/HR Q&A systems

• Analytics & research agents

• Finance and operations automation

• Content production & optimization

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Meet Your Instructor

I’m Diogo, a data professional with a Master’s in Management (Analytics) from ESMT Berlin.
With experience across billion-euro operations, A/B testing, and global startup consulting, I teach AI with a strong emphasis on real-world impact and practical problem-solving.

You also receive direct instructor support, with responses within 24 hours for every question.

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Real Hands-On Projects You Will Build

🔹 No-Code Projects

• Flowise RAG System (zero to production-ready answers with citations)

🔹 Python + OpenAI Projects

• File Search RAG + Streamlit App

• Unstructured Data RAG (PDF, Word, PPT, Excel, EPUB)

• Multimodal RAG (Whisper + CLIP + cosine search)

• Agentic Workflows (CrewAI + Swarm):

  • Researcher

  • Writer

  • Counselor

  • Product Strategist

• Reasoning Model Demos

• Image Generation & Batch Editing Pipelines

• Fine-tuned GPT Evaluation & Testing

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What You Will Learn

RAG Foundations

• Retrieval pipelines

• Augmentation techniques

• Grounded generation with citations

• Metadata design

Embeddings & Vector Stores

• Semantic search and nearest neighbor retrieval

• FAISS, File Search vector stores

Chunking Techniques

• Fixed-size

• Semantic chunking

• Hierarchical

• LongRAG

Prompt Engineering

• System messages

• Temperature & Top-p

• Few-shot prompting

• Persona-based design

Reasoning Models

• Structured outputs

• Chain-of-thought control

• Verification frameworks

AI Agent Patterns

• Multi-agent communication

• Tool calling & planning

• Memory and state-handling

• Error recovery

MCP (Model Context Protocol)

• Safe external actions

• API integrations (fetch, Stripe, web queries)

Evaluation with RAGAS

• Context recall

• Precision

• Relevancy

• Factual accuracy

Deployment

• Streamlit apps

• Environment secrets

• Debugging workflows

• Production-ready optimization

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Why Learn RAG and AI Agents in 2026?

The future of AI lies in augmented, grounded, and agentic systems—not standalone LLMs.
RAG is now essential for:

• Enterprise AI tools

• Knowledge retrieval

• Automation copilots

• AI-powered research systems

• Business intelligence

This course prepares you for the next generation of real-world AI engineering.

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What You Get

• Lifetime Access

• All future updates (2026 and beyond)

• Hands-on projects and coding challenges

• Direct instructor support

• Completion certificate

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Who This Course Is For

• Data Scientists & ML Engineers expanding into generative AI

• AI Researchers & Enthusiasts exploring RAG and agent systems

• Software Developers transitioning into AI engineering

• Technical Product Managers leading AI initiatives

• AI Consultants & Data Analysts adding LLM skills

• Entrepreneurs & Tech Leaders building AI-driven products

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Take the Next Step

Stay ahead of the fast-moving world of AI.
Master RAG, AI Agents, and Generative AI with the most complete, updated, and practical course available.

Enroll now and transform your career with next-generation AI skills!

Please Note: Files will be included in this purchase only Full Course Video & Course Resources. You will get cloud storage download link with life time download access.