RAG, AI Agents and Generative AI with Python and OpenAI 2025
- Descrição
- Currículo
- FAQ
- Revisões
UPDATES DECEMBER 2024:
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Fine Tuning OpenAI GPT-4o
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Python Crash Course + Self-assessment
UPDATES NOVEMBER 2024:
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CrewAI and CrewAI Capstone Project launched
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The section on OpenAI API for Text and Images is live + OpenAI API Capstone Project
UPDATES OCTOBER 2024:
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OpenAI Swarm is live
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Agentic RAG is live
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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?
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Comprehensive Curriculum: Dive deep into RAG systems, AI agents, and generative AI models with over 150 lectures and 10 extensive sections.
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Hands-On Python Projects: Implement real-world applications using Python, OpenAI GPT models, FAISS, LangChain, and more.
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Latest Technologies: Stay ahead with the most recent advancements in OpenAI, Generative AI, Multimodal RAG, and AI Agents.
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Expert Instruction: Learn from Diogo, an industry expert with years of experience in AI and machine learning.
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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
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Fundamentals of Retrieval Systems: Understand tokenization, indexing, querying, and ranking in information retrieval.
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Basics of Generation Models: Master text generation using GPT, transformers, and attention mechanisms.
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Integration of Retrieval and Generation: Build RAG systems combining retrieval models with generative models.
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Advanced OpenAI GPT Models: Leverage OpenAI’s GPT models for powerful text generation and embeddings.
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Handling Unstructured Data: Work with data in various formats like Excel, Word, PowerPoint, EPUB, and PDF using LangChain.
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Multimodal RAG: Explore multimodal retrieval systems incorporating text, audio, and visual data using Whisper and CLIP models.
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AI Agents and Agentic RAG: Develop AI agents with state management and memory for complex tasks using OpenAI Swarm.
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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!
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Lifetime Access: Enroll now and get lifetime access to all course materials and updates.
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Interactive Learning: Engage with coding exercises, challenges, and real-world projects.
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Support: Get your questions answered from me, Diogo, in less than 24 hours.
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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!
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1RAG, AI Agents and Generative AI with Python and OpenAI Promotional VideoVídeo Aula
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2Course Overview: RAG, AI Agents and Generative AI with Python and OpenAIVídeo Aula
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3Your RAG, AI Agents and Generative AI Course Assistant is HereVídeo Aula
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4RAG and Generative AI Course Assistant LinkTexto
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5Diogo's Introduction and BackgroundVídeo Aula
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6Get Your Course Materials: RAG and Generative AITexto
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7Unlimited Updates and Enhancements 2025Vídeo Aula
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8Submit Your Update and Enhancement Requests HereTexto
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9Python Self-Assessment NotesVídeo Aula
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10Why take this self-assessment?Texto
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11Gear Transformation Power CalculationQuestionário
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12Solutions - Gear Transformation Power CalculationVídeo Aula
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13Poneglyph CollectionQuestionário
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14Solutions - Poneglyph CollectionVídeo Aula
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15Devil Fruit User ClassQuestionário
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16Solutions - Devil Fruit User ClassVídeo Aula
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17Game Plan for Fundamentals of Retrieval SystemsVídeo Aula
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18Overview of Information RetrievalVídeo Aula
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19Understanding Tokenization in NLPVídeo Aula
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20OpenAI TokenizerVídeo Aula
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21Haven't Downloaded the Course Materials?Texto
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22Python - Libraries and Data Handling for RAGVídeo Aula
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23Python - Tokenization TechniquesVídeo Aula
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24Python - Preprocessing StepsVídeo Aula
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25Types of Retrieval SystemsVídeo Aula
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26Vector Space Model (TF-IDF)Vídeo Aula
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27Python - Implementing TF-IDFVídeo Aula
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28Python - TF-IDF Function and Output AnalysisVídeo Aula
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29Boolean Retrieval ModelVídeo Aula
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30Python - Boolean Retrieval ImplementationVídeo Aula
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31Probabilistic Retrieval ModelVídeo Aula
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32Python - Probabilistic Retrieval ModelVídeo Aula
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33How Google Search Works?Vídeo Aula
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34Key Concepts: Indexing, Querying, and RankingVídeo Aula
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35Section Recap: Key LearningsVídeo Aula
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38Game Plan for Basics of Generation ModelsVídeo Aula
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39Introduction to Text GenerationVídeo Aula
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40Understanding TransformersVídeo Aula
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41Rock-Paper-Scissors, Dices, and StrawberriesVídeo Aula
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42Haven't Downloaded the Course Materials?Texto
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43Python - Text Generation with GPT-2Vídeo Aula
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44Python - Tokenization for Text GenerationVídeo Aula
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45Python - Padding the Data for ConsistencyVídeo Aula
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46Attention Mechanisms in NLPVídeo Aula
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47Python - Creating a Dataset ClassVídeo Aula
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48Python - Fine-Tuning the GPT-2 ModelVídeo Aula
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49Python - Generating Text with GPT-2Vídeo Aula
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50Basics of Generation Models Recap: Key LearningsVídeo Aula
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52Game Plan for Integrating Retrieval and GenerationVídeo Aula
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53Introduction to RAG ArchitectureVídeo Aula
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54Haven't Downloaded the Course Materials?Texto
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55Python - Tokenization and Embeddings for RAGVídeo Aula
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56FAISS Index: Efficient Similarity SearchVídeo Aula
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57Python - Building a Retrieval SystemVídeo Aula
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58Python - Developing a Generative ModelVídeo Aula
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59Python - Implementing the RAG SystemVídeo Aula
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60Python - Defining a Relevant Context DistanceVídeo Aula
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61Understanding Generation Model ParametersVídeo Aula
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62Python - Configuring RAG with ParametersVídeo Aula
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63What Have We Learned and Where Do We Go from Here?Vídeo Aula
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64Would you help me?Vídeo Aula
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66Game Plan for OpenAI APIVídeo Aula
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67OpenAI API for TextVídeo Aula
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68Haven't Downloaded the Course Materials?Texto
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69Python - Setting Up OpenAI API KeyVídeo Aula
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70System Message and ParametersVídeo Aula
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71Python - OpenAI API SetupVídeo Aula
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72Python - Generating Text with OpenAI APIVídeo Aula
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73Python - OpenAI API ParametersVídeo Aula
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74OpenAI API for ImagesVídeo Aula
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75Python - With Image URLVídeo Aula
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76Python - Converting Images to Base64Vídeo Aula
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77Python - Assess My Python Course ThumbnailVídeo Aula
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78Key Learnings and Outcomes: OpenAI APIVídeo Aula
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79Project Presentation: GenAI for Customer AcquisitionVídeo Aula
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80Note about the next videoTexto
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81Python - OpenAI SetupVídeo Aula
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82Python -.AI Agent System PromptVídeo Aula
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83Python - Processing Images for GenAIVídeo Aula
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84Python - Extract Data with GenAIVídeo Aula
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85Python - Improving GenAI ExtractionVídeo Aula
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86Python - GenAI with All ImagesVídeo Aula
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87Python - PDF to ImagesVídeo Aula
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88Python - Wrapping Up the OpenAI GenAI ProjectVídeo Aula
