Rag, Ai Agents And Generative Ai With Python And Openai 2025

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Rag, Ai Agents And Generative Ai With Python And Openai 2025
Last updated 11/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 11.64 GB | Duration: 21h 59m​

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

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 NOVEMBER 2024:CrewAI and CrewAI Capstone Project launchedThe section on OpenAI API for Text and Images is live + OpenAI API Capstone ProjectUPDATES OCTOBER 2024:OpenAI Swarm is liveAgentic RAG is liveMultimodal RAG Project is liveUnlock 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 150 lectures and 10 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 InstructorHi, 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 SupportOne 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 ImprovementsI'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 LearnFundamentals 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.

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24.04 GB | 17min 39s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English​

Files Included :

Spoiler

1 -RAG, AI Agents and Generative AI with Python and OpenAI Promotional Video.mp4 (30.47 MB)
2 -Course Overview RAG, AI Agents and Generative AI with Python and OpenAI.mp4 (110.78 MB)
3 -Your RAG, AI Agents and Generative AI Course Assistant is Here.mp4 (140.3 MB)
4 -Diogo's Introduction and Background.mp4 (54.18 MB)
5 -Unlimited Updates and Enhancements 2025.mp4 (27.05 MB)
1 -Project Presentation GenAI for Customer Acquisition.mp4 (108.49 MB)
2 -Python - OpenAI Setup.mp4 (96.76 MB)
3 -Python - AI Agent System Prompt.mp4 (136.98 MB)
4 -Python - Processing Images for GenAI.mp4 (83.43 MB)
5 -Python - Extract Data with GenAI.mp4 (206.63 MB)
6 -Python - Improving GenAI Extraction.mp4 (93.7 MB)
7 -Python - GenAI with All Images.mp4 (111.76 MB)
8 -Python - PDF to Images.mp4 (148.16 MB)
9 -Python - Wrapping Up the OpenAI GenAI Project.mp4 (126.06 MB)
1 -Game Plan for RAG with OpenAI Integration.mp4 (33.61 MB)
10 -Python - Generating Embeddings.mp4 (219.43 MB)
11 -Python - Building FAISS Index and Metadata Integration.mp4 (107.44 MB)
12 -Python - Implementing a Robust Retrieval System.mp4 (210.18 MB)
13 -Python - Combining Outputs for Enhanced Results.mp4 (41.93 MB)
14 -Python - Constructing a Generative Model.mp4 (170.72 MB)
15 -Python - Complete RAG System Implementation.mp4 (100.62 MB)
16 -How to Improve RAG Systems Effectively.mp4 (70.43 MB)
17 -Would you help me.mp4 (17.63 MB)
2 -Case Study Briefing Analyzing Cooking Books.mp4 (39.55 MB)
3 -Python - Setting Up OpenAI API Key.mp4 (81.42 MB)
4 -Python - Converting PDF to Images.mp4 (128.74 MB)
5 -Python - Reading a Single Image with GPT.mp4 (176.91 MB)
6 -Python - Enhancing AI with Prompt Engineering.mp4 (143.66 MB)
7 -Python - Reading All Images in a Dataset.mp4 (73.12 MB)
8 -Python - Filtering Non-relevant Information.mp4 (103.15 MB)
9 -Understanding Embeddings in NLP.mp4 (55.63 MB)
1 -Game Plan for Handling Unstructured Data.mp4 (31.62 MB)
10 -Python - Setting Up Word Documents for RAG.mp4 (92.21 MB)
11 -Python - Implementing RAG for Word Documents.mp4 (35.7 MB)
12 -Working with PowerPoint Presentations.mp4 (33.35 MB)
13 -Python - PowerPoint Setup for RAG.mp4 (60.8 MB)
14 -Python - RAG Implementation for PowerPoint.mp4 (49.75 MB)
15 -Working with EPUB Files.mp4 (32.51 MB)
16 -Python - EPUB Setup for RAG.mp4 (66.56 MB)
17 -Python - RAG Implementation for EPUB Files.mp4 (29.42 MB)
18 -Working with PDF Files.mp4 (32.91 MB)
19 -Python - PDF Setup for RAG.mp4 (86.24 MB)
2 -Introduction to Langchain Library.mp4 (56.62 MB)
20 -Python - RAG Implementation for PDF Files.mp4 (91.55 MB)
21 -RAG with Unstructured Data Recap Key Learnings.mp4 (32.72 MB)
3 -Excel Data Best Practices for Data Handling.mp4 (42.05 MB)
4 -Python - Initial Setup for Data Processing.mp4 (84.44 MB)
5 -Python - Loading Data and Implementing Chunking Strategies.mp4 (79.99 MB)
6 -Python - Developing a Retrieval System for Unstructured Data.mp4 (90.55 MB)
7 -Python - Building a Generation System for Dynamic Content.mp4 (144.52 MB)
8 -Python - Building Retrieval and Generation Functions.mp4 (135.81 MB)
9 -Working with Word Documents.mp4 (35.4 MB)
1 -Game Plan for Multimodal RAG.mp4 (28 MB)
10 -Understanding the CLIP Model.mp4 (41.1 MB)
11 -Python - Tokenizing Text for Multimodal Tasks.mp4 (130.4 MB)
12 -Python - Chunking and Embedding Text.mp4 (163.19 MB)
13 -Python - Embedding Images for Multimodal Analysis.mp4 (137.27 MB)
14 -Understanding Cosine Similarity in Multimodal Contexts.mp4 (48.05 MB)
15 -Python - Applying Contrastive Learning and Cosine Similarity.mp4 (168.56 MB)
16 -Python - Visualizing Text and Image Embeddings.mp4 (176.47 MB)
17 -Python - Query Embedding Techniques.mp4 (63.52 MB)
18 -Python - Calculating Cosine Similarity for Query and Text.mp4 (198.52 MB)
19 -Python - GenAI Model Setup for Multimodal Tasks.mp4 (67.52 MB)
2 -Introduction to Multimodal RAG.mp4 (45.26 MB)
20 -Python - Building a GenAI Model.mp4 (99.68 MB)
21 -Multimodal RAG Recap Key Learnings.mp4 (26.19 MB)
3 -Python - Setup and Video Processing.mp4 (86.34 MB)
4 -Python - Extracting Audio from Video.mp4 (139.64 MB)
5 -Python - Compressing Audio Files.mp4 (69.58 MB)
6 -Introduction to Whisper Model.mp4 (47.5 MB)
7 -Python - Transcribing Audio with OpenAI Whisper.mp4 (146.66 MB)
8 -Python - Extracting Frames from Video.mp4 (74.09 MB)
9 -Introduction to Contrastive Learning.mp4 (54.16 MB)
1 -Project Presentation Starbucks Financial Data.mp4 (98.7 MB)
2 -Python - Transcribing Audio with OpenAI Whisper.mp4 (184.8 MB)
3 -Python - Embedding Transcription with CLIP.mp4 (120.51 MB)
4 -Python - Converting PDF to Images.mp4 (88.67 MB)
5 -Python - Embedding Images for Multimodal Analysis.mp4 (75.39 MB)
6 -Python - Retrieval System.mp4 (256.36 MB)
7 -Python - Preparing Context.mp4 (69.68 MB)
8 -Python - Generative AI System.mp4 (190.95 MB)
1 -Game Plan for Knowledge Graphs with LightRAG.mp4 (21.33 MB)
10 -Python - Knowledge Graph Visualization.mp4 (103.05 MB)
11 -Python - Local Knowledge Graph Visualization.mp4 (79.05 MB)
2 -Knowledge Graphs.mp4 (47.38 MB)
3 -Knowledge Graphs vs Embeddings.mp4 (70.07 MB)
4 -Python - LightRAG Setup.mp4 (107.01 MB)
5 -LightRAG.mp4 (28.61 MB)
6 -Python - Setting the Working Directory.mp4 (27.59 MB)
7 -Python - Data Prep.mp4 (53.39 MB)
8 -Python - Naive RAG.mp4 (80.38 MB)
9 -Python - LightRAG.mp4 (87.75 MB)
1 -Game Plan for Agentic RAG.mp4 (22.51 MB)
10 -Python - Retrieving the Documents.mp4 (82.46 MB)
11 -Python - AI Agent that Generates the Answer.mp4 (194.47 MB)
12 -Python - AI Agent that Improves the Answer.mp4 (156.6 MB)
13 -Python - Asking User For More Questions.mp4 (81.65 MB)
14 -Agentic RAG Recap Key Learnings and Next Steps.mp4 (54.27 MB)
2 -AI Agents.mp4 (59.89 MB)
3 -Agentic RAG.mp4 (44.17 MB)
4 -Python - Setup and Data Loading.mp4 (148.87 MB)
5 -State Management and Memory in Agentic Systems.mp4 (60.99 MB)
6 -Python - AgentState Class.mp4 (67.55 MB)
7 -Python - Greeting The Customer.mp4 (68.74 MB)
8 -Python - AI Agent that Checks the Question.mp4 (153.32 MB)
9 -Python - AI Agent that Assesses the Validity of the question.mp4 (112.84 MB)
1 -Game Plan for AI Agents with CrewAI.mp4 (37.6 MB)
10 -Python - Writer AI Agent and Task.mp4 (225.52 MB)
11 -Key Learnings and Outcomes AI Agents with Crew AI.mp4 (18.71 MB)
2 -CrewAI.mp4 (83.45 MB)
3 -Python - Get Serper API key.mp4 (33.9 MB)
4 -Python - CrewAI Setup.mp4 (25.76 MB)
5 -Python - CrewAI Tools.mp4 (69.21 MB)
6 -Python - Research AI Agent.mp4 (102.59 MB)
7 -Python - Research Task.mp4 (52.28 MB)
8 -Python - Preparing the AI Crew.mp4 (76.51 MB)
9 -Python - New Pricing Research Task + WebScraper Tool.mp4 (135.73 MB)
1 -CrewAI Agents Project Presentation.mp4 (70.4 MB)
2 -Python - CrewAI Setup.mp4 (113.22 MB)
3 -Python - AI Agent for Image Description.mp4 (65.09 MB)
4 -Python - AI Agent for Critiques.mp4 (134.43 MB)
5 -Python - AI UX Agent for Suggestions.mp4 (82.1 MB)
6 -Python - AI Product Manager.mp4 (193.82 MB)
1 -Game Plan for OpenAI Swarm and AI Agents.mp4 (43.47 MB)
10 -AI Agents with OpenAI Swarm - Key Learnings and Outcomes.mp4 (53.63 MB)
2 -AI Agents with OpenAI Swarm.mp4 (80.11 MB)
3 -Python - OpenAI Swarm Setup.mp4 (102.56 MB)
4 -Python - AI Agent for Greeting.mp4 (50.61 MB)
5 -News API.mp4 (26.91 MB)
6 -Python - Fetching the News.mp4 (95.65 MB)
7 -Python - AI Agent to Fetch the News.mp4 (32.19 MB)
8 -Python - The AI Main Agent.mp4 (68.26 MB)
9 -Python - Orchestrating the AI Agents.mp4 (190.6 MB)
1 -Python Self-Assessment Notes.mp4 (68.9 MB)
2 -Solutions - Gear Transformation Power Calculation.mp4 (38.94 MB)
3 -Solutions - Poneglyph Collection.mp4 (95.68 MB)
4 -Solutions - Devil Fruit User Class.mp4 (67.4 MB)
1 -Project Briefing - The Psychiatrist.mp4 (47.62 MB)
2 -Python - OpenAI Swarm Setup.mp4 (42.19 MB)
3 -Python - Motivational AI Agent.mp4 (54.7 MB)
4 -Python - Therapist AI Agent.mp4 (83.27 MB)
5 -Python - Hierarchical AI Agents.mp4 (99.31 MB)
6 -Python - Pretty AI Messages.mp4 (173.23 MB)
7 -Python - Wrapping up Pretty Messages.mp4 (54.69 MB)
8 -Python - Counselor AI Agent.mp4 (68.25 MB)
9 -Python - Crisis AI Agent.mp4 (70.15 MB)
1 -Game Plan For OpenAI API GPT Fine Tuning.mp4 (30.89 MB)
10 -Python - Function to Upload Data do OpenAI API.mp4 (96.29 MB)
11 -Python - Fine Tuning a GPT Model.mp4 (128.48 MB)
12 -Python - Checking if Fine-Tuning Job is Completed.mp4 (35.88 MB)
13 -Python - Debugging the Fine Tuning Job.mp4 (102.07 MB)
14 -Evaluating a Fine-Tuned Model.mp4 (67.37 MB)
15 -Python - Testing the Fine-Tuned Model.mp4 (220.44 MB)
16 -Fine-Tuning Recap and Key Learnings.mp4 (63.75 MB)
2 -Why Fine Tuning with OpenAI GPTs.mp4 (59.89 MB)
3 -Python - Fine-Tuning Setup.mp4 (84.72 MB)
4 -Python - Preparing Data for Fine-Tuning.mp4 (135.28 MB)
5 -How to do Fine Tuning with OpenAI GPTs.mp4 (96.25 MB)
6 -Python - Generating the Prompt.mp4 (100.61 MB)
7 -Python - Training and Test Set Split.mp4 (46.33 MB)
8 -Python - Function to Structure Data.mp4 (96.19 MB)
9 -Python - Creating JSONL Files.mp4 (73.09 MB)
1 -Introduction to Python Course.mp4 (48.86 MB)
2 -Setting Up Google Colab.mp4 (86.86 MB)
3 -Setting Up Jupyter Notebook.mp4 (174.86 MB)
1 -Game Plan for Python Essentials.mp4 (10.43 MB)
10 -Python - Variable Types.mp4 (35.05 MB)
11 -Python Solutions - Variable Types.mp4 (28.92 MB)
12 -Arithmetic Operators.mp4 (22.24 MB)
13 -Python - Arithmetic Operators.mp4 (28.42 MB)
14 -Python Solutions - Arithmetic Operators.mp4 (61.19 MB)
15 -Comparison Operators.mp4 (16.54 MB)
16 -Python - Comparison Operators.mp4 (15.18 MB)
17 -Python Solutions - Comparison Operators.mp4 (11.8 MB)
18 -CHALLENGE - Split Bill Calculator.mp4 (72.65 MB)
19 -if-else Conditions.mp4 (24.41 MB)
2 -Print Function.mp4 (19.56 MB)
20 -Python - if-else conditions.mp4 (28.94 MB)
21 -Python Solutions - If-else Conditions.mp4 (49.24 MB)
22 -CHALLENGE - Berghain Club Bouncer.mp4 (88.45 MB)
23 -CHALLENGE Your Monthly Savings Plan.mp4 (138.24 MB)
24 -Key Learnings and Outcomes Python Essentials.mp4 (12.61 MB)
25 -Atomic Habits, by James Clear.mp4 (148.46 MB)
3 -Python - Print Function.mp4 (47.16 MB)
4 -Python Solutions Print Function.mp4 (35.38 MB)
5 -Input Function.mp4 (11 MB)
6 -Python - Input Function.mp4 (26.51 MB)
7 -Python Solutions - Input Function.mp4 (15.78 MB)
8 -CHALLENGE Your Superhero Name.mp4 (21.77 MB)
9 -Variable Types.mp4 (15.97 MB)
1 -Game Plan for Python Intermediate.mp4 (17.2 MB)
10 -Python - Randomization.mp4 (45.23 MB)
11 -Python Solutions - Pick My Next Movie.mp4 (40.32 MB)
12 -CHALLENGE Read My Mind.mp4 (138.07 MB)
13 -Dictionaries.mp4 (10.47 MB)
14 -Python - Dictionaries.mp4 (29.09 MB)
15 -EXERCISE Magical Pet Dictionary.mp4 (54.65 MB)
16 -CHALLENGE - The Budgeting Mastermind.mp4 (144.12 MB)
17 -For Loops.mp4 (11.9 MB)
18 -Python - For Loops.mp4 (18.65 MB)
19 -EXERCISE - Sum of Numbers.mp4 (50.27 MB)
2 -While Loops.mp4 (11.32 MB)
20 -EXERCISE - Count the Number of Characters.mp4 (40.28 MB)
21 -CHALLENGE - Treasure Hunter.mp4 (111.03 MB)
22 -Functions.mp4 (22.01 MB)
23 -Python - Functions.mp4 (40.77 MB)
24 -Python Solutions - Adding Numbers.mp4 (13.08 MB)
25 -Python Solutions - Counting Vowels.mp4 (22.07 MB)
26 -Python Solutions - Fahrenheit to Celsius.mp4 (54.89 MB)
27 -CHALLENGE - Recipe Converter.mp4 (161.85 MB)
28 -Key Learnings and Outcomes Python Intermediate.mp4 (17.62 MB)
29 -Limitless, by Jim Kwik.mp4 (174.63 MB)
3 -Python - While Loops.mp4 (32 MB)
4 -Python Solutions - Countdown Timer.mp4 (18.58 MB)
5 -Lists.mp4 (20.79 MB)
6 -Python - Lists.mp4 (41.01 MB)
7 -Python Solutions - Expense Report.mp4 (22.79 MB)
8 -Python Solutions - Fibonacci Numbers.mp4 (24.01 MB)
9 -Randomization.mp4 (22.32 MB)
1 -Project Presentation - Virtual Escape Game.mp4 (28.29 MB)
2 -Python - Virtual Escape Game Solutions Part 1.mp4 (112.33 MB)
3 -Python - Virtual Escape Game Solutions Part 2.mp4 (113.56 MB)
4 -Python - ChatGPT Solutions.mp4 (216.3 MB)
1 -Game Plan for Introduction to Classes.mp4 (27.69 MB)
10 -Solutions - Implement a Simple Pokémon Trainer Class.mp4 (44.81 MB)
11 -Solutions - HP Attribute, take damage and Fainting.mp4 (75.94 MB)
12 -Object-Oriented Principles Inheritance and Polymorphism.mp4 (69.43 MB)
13 -Python - Inheritance.mp4 (94.54 MB)
14 -Polymorphism.mp4 (60.18 MB)
15 -Python - Polymorphism.mp4 (187.16 MB)
16 -Solutions - Implementing Type-Specific Status Effects in take damage.mp4 (74.98 MB)
17 -OOP Principles Encapsulation and Abstraction.mp4 (99.03 MB)
18 -Python - Protected Attributes.mp4 (61.12 MB)
19 -Solutions - Protected Attributes.mp4 (68.19 MB)
2 -Understanding Classes and Objects.mp4 (36.98 MB)
20 -Python - Privates Attributes.mp4 (76.17 MB)
21 -Solutions - Private Attributes.mp4 (87.21 MB)
22 -Python - Abstraction.mp4 (167.72 MB)
23 -Solutions - Abstraction.mp4 (157.76 MB)
24 -Key Learnings and Outcomes - Introduction to Classes.mp4 (28.31 MB)
3 -Python - Creating Your First Class.mp4 (63.25 MB)
4 -Python - Creating and Using Objects.mp4 (85.36 MB)
5 -Class Attributes and Methods.mp4 (69.26 MB)
6 -Python - Class Attributes and Methods.mp4 (123.94 MB)
7 -Solutions - Create a Team Summary Function.mp4 (81.96 MB)
8 -Solutions - Swap Pokémon Levels.mp4 (59.46 MB)
9 -Solutions - Filter Pokémon by Type.mp4 (74.34 MB)
1 -Project Presentation Bitte Eats.mp4 (32.8 MB)
2 -Python - Items and Restaurants.mp4 (196.66 MB)
3 -Python - Customer and Orders.mp4 (250.64 MB)
4 -Python - Delivery Drivers and Testing.mp4 (119.85 MB)
5 -Python - Subclasses for Delivery Drivers.mp4 (73.37 MB)
1 -Game Plan for Fundamentals of Retrieval Systems.mp4 (32.12 MB)
10 -Python - Implementing TF-IDF Part 1.mp4 (99.12 MB)
11 -Python - Implementing TF-IDF Part 2.mp4 (56.01 MB)
12 -Python - TF-IDF Function and Output Analysis.mp4 (60.4 MB)
13 -Boolean Retrieval Model.mp4 (49.3 MB)
14 -Python - Preprocessing Steps Part 2.mp4 (98.17 MB)
15 -Python - Setting a Directory.mp4 (77.99 MB)
16 -Python - Boolean Retrieval Implementation.mp4 (108.44 MB)
17 -Probabilistic Retrieval Model.mp4 (49.4 MB)
18 -Python - Probabilistic Retrieval Model Setup.mp4 (48.34 MB)
19 -Python - Probabilistic Retrieval Model.mp4 (74.23 MB)
2 -Overview of Information Retrieval.mp4 (40.52 MB)
20 -How Google Search Works.mp4 (94.76 MB)
21 -Key Concepts Indexing, Querying, and Ranking.mp4 (58.19 MB)
22 -Section Recap Key Learnings.mp4 (17.59 MB)
3 -Understanding Tokenization in NLP.mp4 (57.61 MB)
4 -OpenAI Tokenizer.mp4 (69.89 MB)
5 -Python - Libraries and Data Handling for RAG.mp4 (91.22 MB)
6 -Python - Tokenization Techniques.mp4 (84 MB)
7 -Python - Preprocessing Steps.mp4 (122.97 MB)
8 -Types of Retrieval Systems.mp4 (51.29 MB)
9 -Vector Space Model (TF-IDF).mp4 (68.68 MB)
1 -Chain-of-Thought Prompt Engineering.mp4 (112.79 MB)
2 -ReAct Prompt Engineering.mp4 (95.21 MB)
1 -Game Plan for Basics of Generation Models.mp4 (12.91 MB)
10 -System Message and Parameters.mp4 (207.15 MB)
11 -Python - Text Generation with System Message.mp4 (72.72 MB)
12 -Python - Text Generation with Parameters.mp4 (135.61 MB)
13 -OpenAI Playground - Top P.mp4 (45.2 MB)
14 -Basics of Generation Models Recap Key Learnings.mp4 (15.52 MB)
2 -Introduction to Text Generation.mp4 (30.83 MB)
3 -Understanding Transformers.mp4 (85.45 MB)
4 -Rock-Paper-Scissors, Dices, and Strawberries.mp4 (132.99 MB)
5 -Getting a Hugging Face Key.mp4 (49.71 MB)
6 -Python - Langchain and Hugging Face Setup.mp4 (163.46 MB)
7 -Python - Basic Text Generation.mp4 (95.08 MB)
8 -Attention Mechanisms in NLP.mp4 (42.77 MB)
9 -Understanding Generation Model Parameters.mp4 (39.16 MB)
1 -LLMs, Few-shot, Scaling, and Factuality.mp4 (100.55 MB)
1 -Game Plan for Integrating Retrieval and Generation.mp4 (20.7 MB)
2 -Introduction to RAG Architecture.mp4 (35.33 MB)
3 -Python - Hugging Face Setup.mp4 (76.46 MB)
4 -Python - Tokenization and Embeddings for RAG.mp4 (126.34 MB)
5 -FAISS Index Efficient Similarity Search.mp4 (32.54 MB)
6 -Python - Building a Retrieval System.mp4 (70.26 MB)
7 -Python - Developing a Generative Model.mp4 (100.88 MB)
8 -Python - Implementing the RAG System.mp4 (97.95 MB)
9 -What Have We Learned and Where Do We Go from Here.mp4 (26.59 MB)
1 -LongRAG and LightRAG.mp4 (146.66 MB)
1 -Game Plan for OpenAI API.mp4 (27.6 MB)
10 -Python - Assess My Python Course Thumbnail.mp4 (68.65 MB)
11 -Key Learnings and Outcomes OpenAI API.mp4 (39.48 MB)
2 -OpenAI API for Text.mp4 (55.65 MB)
3 -Python - Setting Up OpenAI API Key.mp4 (81.43 MB)
4 -Python - OpenAI API Setup.mp4 (66.78 MB)
5 -Python - Generating Text with OpenAI API.mp4 (102.17 MB)
6 -Python - OpenAI API Parameters.mp4 (174.85 MB)
7 -OpenAI API for Images.mp4 (48.35 MB)
8 -Python - With Image URL.mp4 (76.31 MB)
9 -Python - Converting Images to Base64.mp4 (59.15 MB)

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RAG, AI Agents and Generative AI with Python and OpenAI 2025
2025-09-01
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 35.43 GB | Duration: 42h 57m​

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

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 2025Launched 2 sections: Image Generation with OpenAI and Reasoning ModelsMCP is now live!UPDATES MAY 2025Launch of 2 new sections: RAG with OpenAI File Search and RAGASMinor video remakes due to mistakes.UPDATES APRIL 2025:Remake of 3 sections: Retrieval Fundamentals, Generative Fundaments and Introduction to RAGAdded Knowledge Graphs with Light RAGUPDATES DECEMBER 2024:Fine Tuning OpenAI GPT-4oPython Crash Course + Self-assessmentUPDATES NOVEMBER 2024:CrewAI and CrewAI Capstone Project launchedThe section on OpenAI API for Text and Images is live + OpenAI API Capstone ProjectUPDATES OCTOBER 2024:OpenAI Swarm is liveAgentic RAG is liveMultimodal RAG Project is liveUnlock 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 InstructorHi, 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 SupportOne 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 ImprovementsI'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 LearnFundamentals 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.

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RAG, AI Agents and Generative AI with Python and OpenAI 2025
2025-09-01
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 35.43 GB | Duration: 42h 57m​

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

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 2025Launched 2 sections: Image Generation with OpenAI and Reasoning ModelsMCP is now live!UPDATES MAY 2025Launch of 2 new sections: RAG with OpenAI File Search and RAGASMinor video remakes due to mistakes.UPDATES APRIL 2025:Remake of 3 sections: Retrieval Fundamentals, Generative Fundaments and Introduction to RAGAdded Knowledge Graphs with Light RAGUPDATES DECEMBER 2024:Fine Tuning OpenAI GPT-4oPython Crash Course + Self-assessmentUPDATES NOVEMBER 2024:CrewAI and CrewAI Capstone Project launchedThe section on OpenAI API for Text and Images is live + OpenAI API Capstone ProjectUPDATES OCTOBER 2024:OpenAI Swarm is liveAgentic RAG is liveMultimodal RAG Project is liveUnlock 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 InstructorHi, 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 SupportOne 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 ImprovementsI'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 LearnFundamentals 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.

For More Courses Visit & Bookmark Your Preferred Language Blog
From Here:

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