RAG, AI Agents and Generative AI with Python and OpenAI 2025
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 FAISS 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 2025.
- 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-4o models using Python for customized AI solutions.
Requirements
- Python Proficiency (For Loops, Functions)
Description
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 2025!
Welcome to "RAG, AI Agents, and Generative AI with Python and OpenAI 2025"—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?
Comprehensive Curriculum: Dive deep into RAG systems, AI agents, and generative AI models with over 300 lectures and 30 extensive sections.
Hands-On Python Projects: Implement real-world applications using Python, OpenAI GPT models, FAISS, LangChain, and more.
Latest Technologies: Stay ahead with the most recent advancements in OpenAI, Generative AI, Multimodal RAG, and AI Agents.
Expert Instruction: Learn from Diogo, an industry expert with years of experience in AI and machine learning.
Unlimited Updates: Get access to course enhancements and updates through 2025!
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.
What You'll Learn
Fundamentals of Retrieval Systems: Understand tokenization, indexing, querying, and ranking in information retrieval.
Basics of Generation Models: Master text generation using GPT, transformers, and attention mechanisms.
Integration of Retrieval and Generation: Build RAG systems combining retrieval models with generative models.
Advanced OpenAI GPT Models: Leverage OpenAI's GPT models for powerful text generation and embeddings.
Handling Unstructured Data: Work with data in various formats like Excel, Word, PowerPoint, EPUB, and PDF using LangChain.
Multimodal RAG: Explore multimodal retrieval systems incorporating text, audio, and visual data using Whisper and CLIP models.
AI Agents and Agentic RAG: Develop AI agents with state management and memory for complex tasks using OpenAI Swarm.
Capstone Projects: Apply your knowledge in real-world scenarios, including analyzing Starbucks financial data and building robust retrieval systems.
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 2025" 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!
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.
Instructor
- 4.5 Instructor Rating
- 5,805 Reviews
- 40,338 Students
- 11 Courses
Diogo is a data analytics and business analytics professional with years of experience in the field. He has expertise in various methodologies, including time series forecasting for predicting sales trends, econometrics for analyzing economic data, and machine learning for optimizing marketing campaigns.
His background includes working for a major e-commerce company, where he used these techniques to drive business growth, and collaborating with the United Nations on a Mobile Money project in Lesotho, where he helped increase financial inclusion in the country.
In his courses, Diogo aims to provide practical and applicable knowledge through real-life examples and datasets. For example, he often uses case studies from his own work experiences to illustrate key concepts and demonstrate their relevance in the professional world. His goal is to equip students with the skills and tools necessary to succeed in their own careers in data science.