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Inicio / Cursos / LLM Engineering, RAG, & AI Agents Masterclass [2026]
Impartido por Prof. Ryan Ahmed, PhD, MBAPago único de $2,800 MXN · acceso por 12 meses

LLM Engineering, RAG, & AI Agents Masterclass [2026]

Master Large Language Models, Retrieval Augmented Generation, LangGraph, MCP, CrewAI, AutoGen, N8N, & OpenAI Agents SDK

Certificado oficial emitido por la SEPA través del Gobierno del Estado de México
12 meses de acceso En línea · 60 h 20 unidades
Inscribirme — $2,800 MXN Explorar programa
Qué aprenderás

Lo que serás capaz de hacer

The AI revolution is accelerating at an unimaginable pace, and those who master Large Language Models (LLMs) and Agentic AI will define the future of technology. The "Large Language Models (LLMs) & AI Agents Masterclass" is an intensive hands-on program designed to equip professionals and enthusiasts with the skills needed to build real-world AI applications. Whether you’re a developer, data scientist, researcher, or technology leader, this bootcamp provides the tools and knowledge to navigate and innovate in this fast-evolving space confidently. You will begin by exploring the foundations of LLMs and agent frameworks, including how to benchmark models using LM Studio. The course then guides you through working with powerful closed-source APIs from providers like OpenAI, Gemini, and Claude . You will learn how to structure system and user messages, understand tokenization, and control outputs to build projects such as AI-powered text generators and vision-enabled calorie trackers. As you advance, you’ll dive into the world of open-source LLMs. You will fine-tune models on Hugging Face using state-of-the-art techniques like LoRA and Parameter-Efficient Fine-Tuning (PEFT) . Alongside this, you’ll gain experience designing AI-powered web applications using Gradio, creating interactive streaming apps, and building intelligent AI tutors. A core component of the bootcamp focuses on mastering prompt engineering, including zero-shot, few-shot, and chain-of-thought prompting techniques to achieve consistent and controlled outputs. You'll also explore advanced capabilities such as building Retrieval-Augmented Generation (RAG) pipelines and working with embeddings for semantic search and knowledge retrieval. The program concludes with the development of next-generation AI agents. You will use frameworks like AutoGen, OpenAI Agents SDK, LangGraph, n8n, and MCP to create autonomous agents capable of interacting with external systems, APIs, and other digital tools. Each module emphasizes building practical, working projects that reinforce the learning objectives and prepare you for real-world deployment. This bootcamp is led by Dr. Ryan Ahmed , a highly experienced AI professor and educator who has taught over half a million learners globally. It is ideal for software engineers, data scientists, AI researchers, and technology professionals who want to break into the LLM and AI agent development space. The format of the program emphasizes project-based learning with step-by-step guidance, community interaction, and access to mentorship and continuous feedback. From Day 1, you’ll be building real-world applications, positioning yourself at the forefront of this transformative field. Enroll today, and I look forward to seeing you inside!

  • Understand the foundations of Large Language Models (LLMs) and Agentic AI, including how LLMs are trained, fine-tuned, and deployed.
  • Create and deploy intelligent autonomous AI agents using cutting-edge frameworks like AutoGen, OpenAI Agents SDK, LangGraph, n8n, and MCP.
  • Explore and benchmark open-source LLMs such as LLama, DeepSeek, Qwen, Phi, and Gemma using Hugging Face and LM Studio.
  • Develop real-world applications using API access to OpenAI, Gemini, and Claude for text generation and vision tasks.
  • Apply a proven 5-step framework to select the right AI model for your business: maximizing cost-efficiency, minimizing latency, & accelerating time to market.
  • Evaluate LLMs using leaderboards like Vellum and Chat Arena, and conduct blind tests to objectively assess AI model performance.

Temario

UNIDAD 1 - Welcome to the Bootcamp! · 4 lecciones

UNIDAD 1 - Welcome to the Bootcamp!
  • Instructor Introduction and LLM in Action!Video · 9 min
  • Download the Bootcamp MaterialsLectura · 0 min
  • Bootcamp OutlineVideo · 13 min
  • Key Success TipsVideo · 3 min
UNIDAD 2 - -------PART A: CLOSED-SOURCE LLMs, GRADIO, & BENCHMARKING------- · 1 lecciones

UNIDAD 2 - -------PART A: CLOSED-SOURCE LLMs, GRADIO, & BENCHMARKING-------
  • Welcome to Part A of the Bootcamp!Lectura · 0 min
UNIDAD 3 - Day 1: Develop a Character AI Chatbot Using OpenAI API · 12 lecciones

UNIDAD 3 - Day 1: Develop a Character AI Chatbot Using OpenAI API
  • Task 1. Character AI Chatbot Project Introduction & Key Learning ObjectivesVideo · 4 min
  • Task 2. Download Anaconda and Configure OpenAI APIVideo · 12 min
  • Task 3. Our First Chat with OpenAI APIVideo · 7 min
  • ❓Practice Opportunity Question: Test OpenAI API for Text GenerationVideo · 1 min
  • Practice Opportunity Solution: Test OpenAI API for Text GenerationVideo · 5 min
  • Task 4. Understand OpenAI API response Structure & Token UsageVideo · 11 min
  • ❓Practice Opportunity Question: OpenAI Tokenizer ToolVideo · 1 min
  • Practice Opportunity Solution: OpenAI Tokenizer ToolVideo · 4 min
  • Task 5. Giving Our AI Chatbot a Personality Using the System Message!Video · 6 min
  • ❓Practice Opportunity Question: Changing AI PersonalitiesVideo · 2 min
  • Practice Opportunity Solution: Changing AI PersonalitiesVideo · 3 min
  • Conclusion, Summary, and Thank You!Video · 4 min
UNIDAD 4 - Day 2: Build an AI Calorie Tracker Using OpenAI API (Vision GPTs) · 15 lecciones

UNIDAD 4 - Day 2: Build an AI Calorie Tracker Using OpenAI API (Vision GPTs)
  • Task 1. AI Calorie Tracker Project Introduction & Key Learning ObjectivesVideo · 4 min
  • Task 2. Read a Sample Image Using Python's Pillow (PIL) LibraryVideo · 8 min
  • ❓Practice Opportunity Question: Read & View Images Using PILVideo · 1 min
  • Practice Opportunity Solution: Read & View Images Using PILVideo · 2 min
  • Task 3. Understand Prompt Engineering FundamentalsVideo · 9 min
  • ❓Practice Opportunity Question: Prompt Engineering FundamentalsVideo · 3 min
  • Practice Opportunity Solution: Prompt Engineering FundamentalsVideo · 6 min
  • Task 4. Perform Image Recognition Using OpenAI API's Vision GPT Models (Part A)Video · 12 min
  • Task 4. Perform Image Recognition Using OpenAI API's Vision GPT Models (Part B)Video · 4 min
  • ❓Practice Opportunity Question: Calling OpenAI API's Vision GPT ModelsVideo · 1 min
  • Practice Opportunity Solution: Calling OpenAI API's Vision GPT ModelsVideo · 2 min
  • Task 5. Obtain the Calorie Count of Food Images Using Vision GPT ModelsVideo · 6 min
  • ❓Practice Opportunity Question: Expand API Payload to include Nutritional ValueVideo · 1 min
  • Practice Opportunity Solution: Expand API Payload to include Nutritional ValueVideo · 5 min
  • Conclusion, Summary, & Thank You Message!Video · 1 min
UNIDAD 5 - Day 3: Build an Adaptive LLM/AI Tutor with Gradio for Multi-level Learning · 15 lecciones

UNIDAD 5 - Day 3: Build an Adaptive LLM/AI Tutor with Gradio for Multi-level Learning
  • Task 1. Introduction & Key Learning Objectives - Adaptive AI Tutor with GradioVideo · 5 min
  • Task 2. Learn Gradio 101 & Showcase Capabilities (Maps, Images, & Streaming)Video · 8 min
  • Task 3. Build and Test an AI Tutor Function (Without Gradio)Video · 8 min
  • ❓Practice Opportunity Question: Test AI Tutor Function with Many PersonalitiesVideo · 2 min
  • Practice Opportunity Solution: Test AI Tutor Function with Many PersonalitiesVideo · 3 min
  • Task 4. Build an Interactive Interface Using Gradio (No Streaming)Video · 9 min
  • ❓Practice Opportunity Question: Configure Gradio Interface ComponentsVideo · 1 min
  • Practice Opportunity Solution: Configure Gradio Interface ComponentsVideo · 3 min
  • Task 5. Add Streaming for an Enhanced Chat Experience in GradioVideo · 7 min
  • ❓Practice Opportunity Question: Streaming for an Enhanced Chat ExperienceVideo · 1 min
  • Practice Opportunity Solution: Streaming for an Enhanced Chat ExperienceVideo · 3 min
  • Task 6. Build a Multi-Level AI Tutor in Gradio with Explanation Level SliderVideo · 11 min
  • ❓Practice Opportunity Question: Testing AI Tutor Slider Levels & Einstein Mode!Video · 1 min
  • Practice Opportunity Solution: Testing AI Tutor Slider Levels & Einstein Mode!Video · 3 min
  • Conclusion, Summary, & Thank You Message!Video · 2 min
UNIDAD 6 - Day 4: Build Websites with Claude, Gemini, & OpenAI & LLMs Leaderboards · 23 lecciones

UNIDAD 6 - Day 4: Build Websites with Claude, Gemini, & OpenAI & LLMs Leaderboards
  • Task 1. Introduction & Module Objectives - Build Websites & LLMs LeaderboardsVideo · 5 min
  • Task 2. LLM Comparison, Benchmarks, & Vellum LeaderboardVideo · 12 min
  • ❓Practice Opportunity Question: Vellum Leaderboard & LLMs BenchmarkingVideo · 1 min
  • Practice Opportunity Solution: Vellum Leaderboard & LLMs BenchmarkingVideo · 3 min
  • Task 3. Exploring Chatbot Arena and Blind AI/LLMs Models TestingVideo · 8 min
  • ❓Practice Opportunity Question: Blind AI Testing Using Chatbot ArenaVideo · 2 min
  • Practice Opportunity Solution: Blind AI Testing Using Chatbot ArenaVideo · 3 min
  • Task 4. Setup API Key & Compare Math & Creative abilities of Claude, Gemini, GPTVideo · 12 min
  • ❓Practice Opportunity Question: Compare LLMs Coding AbilitiesVideo · 1 min
  • Practice Opportunity Solution: Compare LLMs Coding AbilitiesVideo · 3 min
  • Task 5. Define the Startup Idea & Structure the PromptVideo · 5 min
  • ❓Practice Opportunity Question: Prompt Structuring for HTML GenerationVideo · 1 min
  • Practice Opportunity Solution: Prompt Structuring for HTML GenerationVideo · 1 min
  • Task 6. Generate Websites & HTML Landing Pages with OpenAI APIVideo · 6 min
  • ❓Practice Opportunity Question: HTML Landing Pages GenerationVideo · 1 min
  • Practice Opportunity Solution: HTML Landing Pages GenerationVideo · 2 min
  • Task 7. Generate HTML Landing Pages with Google Gemini-2.0-Flash APIVideo · 4 min
  • ❓Practice Opportunity Question: Compare Gemini Vs. OpenAI Website GenerationVideo · 1 min
  • Practice Opportunity Solution: Compare Gemini Vs. OpenAI Website GenerationVideo · 3 min
  • Task 8. Generate HTML Landing Pages with Anthropic Claude 3.7 SonnetVideo · 5 min
  • ❓Practice Opportunity Question: Website Design with LLM (Claude by Anthropic)Video · 1 min
  • Practice Opportunity Solution: Website Design with LLM (Claude by Anthropic)Video · 3 min
  • Conclusion, Summary, & Thank You Message!Video · 3 min
UNIDAD 7 - -------PART B: OPEN-SOURCE LLMs, HUGGING FACE, RAG & FINE-TUNING------- · 1 lecciones

UNIDAD 7 - -------PART B: OPEN-SOURCE LLMs, HUGGING FACE, RAG & FINE-TUNING-------
  • Welcome to Part B of this Bootcamp!Lectura · 0 min
UNIDAD 8 - Day 5: Hugging Face Open-Source Models · 26 lecciones

UNIDAD 8 - Day 5: Hugging Face Open-Source Models
  • Task 1. Project Overview: Chat with Documents Using Open-Source LLMsVideo · 6 min
  • Task 2. Explore Hugging Face Models, Datasets, and SpacesVideo · 11 min
  • ❓Practice Opportunity Question: Explore Hugging FaceVideo · 2 min
  • Practice Opportunity Solution: Explore Hugging FaceVideo · 4 min
  • Task 3. Install Key Libraries & Setup Access Tokens for Hugging FaceVideo · 11 min
  • ❓Practice Opportunity Question: GPU Access Check on Google ColabVideo · 1 min
  • Practice Opportunity Solution: GPU Access Check on Google ColabVideo · 3 min
  • Task 4. Hugging Face Transformers Library: PipelinesVideo · 9 min
  • ❓Practice Opportunity Question: Transformers PipelinesVideo · 1 min
  • Practice Opportunity Solution: Transformers PipelinesVideo · 2 min
  • Task 5. Hugging Face Transformers Library: AutoTokenizersVideo · 5 min
  • ❓Practice Opportunity Question: Transformers Library AutoTokenizerVideo · 1 min
  • Practice Opportunity Solution: Transformers Library AutoTokenizerVideo · 3 min
  • Task 6. Hugging Face Transformers Library: AutoModelForCasualLMVideo · 14 min
  • ❓Practice Opportunity Question: Transformers AutoModelForCasualLMVideo · 1 min
  • Practice Opportunity Solution: Transformers AutoModelForCasualLMVideo · 2 min
  • Task 7. Read PDF Documents & Extract Content Using PyPDF LibraryVideo · 6 min
  • ❓Practice Opportunity Question: PyPDF LibraryVideo · 0 min
  • Practice Opportunity Solution: PyPDF LibraryVideo · 1 min
  • Task 8. Build the Q&A Logic & Prompt the LLM (Microsoft Phi-4-mini)Video · 11 min
  • ❓Practice Opportunity Question: Test the Q&A Pipeline with Open-Source LLMVideo · 1 min
  • Practice Opportunity Solution: Test the Q&A Pipeline with Open-Source LLMVideo · 1 min
  • Task 9. Switch LLMs (LLama, Phi, & Gemma) & Build Gradio InterfaceVideo · 17 min
  • ❓Practice Opportunity Question: Testing Qwen Open-Source LLMVideo · 1 min
  • Practice Opportunity Solution: Testing Qwen Open-Source LLMVideo · 6 min
  • Conclusion & Thank You!Video · 3 min
UNIDAD 9 - Day 6: Reasoning Open-Source LLMs on Hugging Face & Model Leaderboards · 20 lecciones

UNIDAD 9 - Day 6: Reasoning Open-Source LLMs on Hugging Face & Model Leaderboards
  • Task 1. Introduction and Module Objectives - Reasoning LLMs on Hugging FaceVideo · 8 min
  • Task 2. Explore Hugging Face Datasets Library & Install Key LibrariesVideo · 10 min
  • ❓Practice Opportunity Question: Explore Hugging Face DatasetsVideo · 1 min
  • Practice Opportunity Solution: Explore Hugging Face DatasetsVideo · 4 min
  • Task 3. Load Financial News Datasets from Hugging FaceVideo · 8 min
  • ❓Practice Opportunity Question: Explore Financial News DatasetsVideo · 1 min
  • Practice Opportunity Solution: Explore Financial News DatasetsVideo · 3 min
  • Task 4. Load and Test DeepSeek Reasoning Model - Part 1Video · 10 min
  • Task 4. Load and Test DeepSeek Reasoning Model - Part 2Video · 13 min
  • ❓Practice Opportunity Question: Test Math Capabilities of DeepSeekVideo · 1 min
  • Practice Opportunity Solution: Test Math Capabilities of DeepSeekVideo · 7 min
  • Task 5. A Framework for Choosing the right AI Model for Your Business - Part 1Video · 14 min
  • Task 5. A Framework for Choosing the right AI Model for Your Business - Part 2Video · 7 min
  • Task 6. Model Leaderboards and Old/New Model Benchmarks - Part 1Video · 9 min
  • Task 6. Model Leaderboards and Old/New Model Benchmarks - Part 2Video · 9 min
  • Task 7. Prompting DeepSeek for Reasoning and ClassificationVideo · 9 min
  • ❓Practice Opportunity Question: Analyze News Sentiment with DeepSeekVideo · 1 min
  • Practice Opportunity Solution: Analyze News Sentiment with DeepSeekVideo · 4 min
  • Task 8. Building Gradio InterfaceVideo · 9 min
  • Conclusion and Thank You!Video · 4 min
UNIDAD 10 - Day 7: Build Retrieval Augmented Generation (RAG) Pipelines in LangChain · 22 lecciones

UNIDAD 10 - Day 7: Build Retrieval Augmented Generation (RAG) Pipelines in LangChain
  • Task 1. Introduction & Module Objectives - Build RAG Pipelines in LangChainVideo · 4 min
  • Task 2. Understand Retrieval Augmented Generation (RAG) & Why Use itVideo · 10 min
  • Task 3. LangChain 101 & Key FeaturesVideo · 4 min
  • Task 4. Setup, Gather RAG Tools & Load DatasetsVideo · 7 min
  • ❓Practice Opportunity Question: LangChain Textloader TestingVideo · 1 min
  • Practice Opportunity Solution: LangChain Textloader TestingVideo · 1 min
  • Task 5. Splitting (Chunking) Documents Using LangChain Text SplitterVideo · 6 min
  • ❓Practice Opportunity Question: Configuring RecursiveCharacterTextSplitterVideo · 1 min
  • Practice Opportunity Solution: Configuring RecursiveCharacterTextSplitterVideo · 3 min
  • Task 6. Embeddings and Vector Store CreationVideo · 13 min
  • ❓Practice Opportunity Question: Tensorflow Embeddings ProjectorVideo · 1 min
  • Practice Opportunity Solution: Tensorflow Embeddings ProjectorVideo · 1 min
  • Task 7. Testing the Retrieval PipelineVideo · 4 min
  • ❓Practice Opportunity Question: Retrieval Pipeline TestingVideo · 1 min
  • Practice Opportunity Solution: Retrieval Pipeline TestingVideo · 2 min
  • Task 8. Building and Testing RAG Pipeline in LangChainVideo · 6 min
  • ❓Practice Opportunity Question: RetrievalQAWithSourcesChain ParametersVideo · 1 min
  • Practice Opportunity Solution: RetrievalQAWithSourcesChain ParametersVideo · 4 min
  • Task 9. Creating Gradio Interface for Our RAG PipelineVideo · 8 min
  • ❓Practice Opportunity Question: Gradio Interface Configuration & TestingVideo · 1 min
  • Practice Opportunity Solution: Gradio Interface Configuration & TestingVideo · 2 min
  • Conclusion, Summary, & Thank You Message!Video · 3 min
UNIDAD 11 - Day 8: Build a Resume & Cover Letter AI Assistant with OpenAI & Pydantic · 26 lecciones

UNIDAD 11 - Day 8: Build a Resume & Cover Letter AI Assistant with OpenAI & Pydantic
  • Task 1. Introduction to Resume & Cover Letter Building Project with PydanticVideo · 4 min
  • Task 2. Pydantic 101 & Python Type HintsVideo · 8 min
  • ❓Practice Opportunity Question: Pydantic ModelsVideo · 2 min
  • Practice Opportunity Solution: Pydantic ModelsVideo · 3 min
  • Task 3. Generate Parsed Structured Output from OpenAI API with PydanticVideo · 10 min
  • ❓Practice Opportunity Question: Structured Output with OpenAI API & PydanticVideo · 1 min
  • Practice Opportunity Solution: Structured Output with OpenAI API & PydanticVideo · 5 min
  • Task 4. Define LLM Inputs Including Job Description & Original ResumeVideo · 6 min
  • ❓Practice Opportunity Question: Modify Job DescriptionVideo · 2 min
  • Practice Opportunity Solution: Modify Job DescriptionVideo · 4 min
  • Task 5. Enhance Resume with OpenAI's GPT-4.oVideo · 15 min
  • ❓Practice Opportunity Question: Gemini API TestingVideo · 2 min
  • Practice Opportunity Solution: Gemini API TestingVideo · 7 min
  • Task 6. Perform Resume & Job Description Gap Analysis with LLMsVideo · 8 min
  • ❓Practice Opportunity Question: Modify Functions to Include AI SkillsVideo · 1 min
  • Practice Opportunity Solution: Modify Functions to Include AI SkillsVideo · 5 min
  • Task 7. Generate a New Tailored Resume by AI with Change Tracking (Pydantic)Video · 9 min
  • ❓Practice Opportunity Question: Generate Resume Function TestingVideo · 1 min
  • Practice Opportunity Solution: Generate Resume Function TestingVideo · 6 min
  • Task 8. Generate a Custom Cover LetterVideo · 9 min
  • ❓Practice Opportunity Question: Generate Cover Letter Function TestingVideo · 1 min
  • Practice Opportunity Solution: Generate Cover Letter Function TestingVideo · 3 min
  • Task 9. Unified Resume and Cover Letter Generation FunctionVideo · 3 min
  • ❓Practice Opportunity Question: Test the Entire Workflow with New DataVideo · 1 min
  • Practice Opportunity Solution: Test the Entire Workflow with New DataVideo · 5 min
  • Concluding Remarks and Thank You!Video · 3 min
UNIDAD 12 - Day 9: Fine-Tuning of Large Language Models with LORA, SFTTrainer, PEFT, & TRL · 20 lecciones

UNIDAD 12 - Day 9: Fine-Tuning of Large Language Models with LORA, SFTTrainer, PEFT, & TRL
  • Task 1. Project Introduction and Welcome Message: Fine-Tuning of LLMsVideo · 6 min
  • Task 2. Import Key Libraries and DatasetsVideo · 10 min
  • ❓Practice Opportunity Question: GPU Detection Tesla T4 & A100Video · 1 min
  • Practice Opportunity Solution: GPU Detection Tesla T4 & A100Video · 4 min
  • Task 3. Load and Prepare the Financial News DatasetsVideo · 8 min
  • ❓Practice Opportunity Question: Explore Data Imbalance & Seaborn CountplotVideo · 0 min
  • Practice Opportunity Solution: Explore Data Imbalance & Seaborn CountplotVideo · 3 min
  • Task 4. Format the Data into Supervised Fine-Tuning (SFT) Trainer FormatVideo · 14 min
  • ❓Practice Opportunity Question: Formatting DeepSeek Models in SFTTrainer FormatVideo · 1 min
  • Practice Opportunity Solution: Formatting DeepSeek Models in SFTTrainer FormatVideo · 6 min
  • Task 5. Understand Confusion Matrix & Classification KPIs (Precision, recall,..)Video · 10 min
  • Task 6. Perform Zero-Shot Classification With Base Model (Inference) - Part 1Video · 15 min
  • Task 6. Perform Zero-Shot Classification With Base Model (Inference) - Part 2Video · 4 min
  • ❓Practice Opportunity Question: Zero-Shot Inference on Base ModelVideo · 1 min
  • Practice Opportunity Solution: Zero-Shot Inference on Base ModelVideo · 2 min
  • Task 7. Perform LLMs fine-tuning Using PEFT, LORA, & SFTTrainerVideo · 14 min
  • Task 8. Evaluate Fine-Tuned Large Language ModelsVideo · 6 min
  • ❓Practice Opportunity Question: Plot Confusion Matrix & KPIs for Fine-Tuned LLMVideo · 0 min
  • Practice Opportunity Solution: Plot Confusion Matrix & KPIs for Fine-Tuned LLMVideo · 2 min
  • Conclusion, Summary, & Thank You!Video · 3 min
UNIDAD 13 - -------PART C: AI AGENTS WITH LANGGRAPH, AUTOGEN, CREWAI, N8N, & MCP------- · 1 lecciones

UNIDAD 13 - -------PART C: AI AGENTS WITH LANGGRAPH, AUTOGEN, CREWAI, N8N, & MCP-------
  • Welcome to Part C of this bootcamp!Lectura · 0 min
UNIDAD 14 - Day 10: Build Multi-Model AI Agent Teams Using AutoGen · 20 lecciones

UNIDAD 14 - Day 10: Build Multi-Model AI Agent Teams Using AutoGen
  • Task 1. Introduction & Module Objectives - Build AI Agents Teams with AutoGenVideo · 7 min
  • Task 2. Understand AutoGen Capabilities & Key FeaturesVideo · 6 min
  • ❓Practice Opportunity Question: AI Agents Teams DesignVideo · 1 min
  • Practice Opportunity Solution: AI Agents Teams DesignVideo · 4 min
  • Task 3. Create Our First AI Agents in AutoGen with OpenAI GPT-4oVideo · 10 min
  • ❓Practice Opportunity Question: Building AI Agents in AutoGenVideo · 1 min
  • Practice Opportunity Solution: Building AI Agents in AutoGenVideo · 2 min
  • Task 4. Test AI Agents Conversations with Similar LLM (OpenAI GPT-4o)Video · 7 min
  • ❓Practice Opportunity Question: Modify initiate_chat() Function ParametersVideo · 1 min
  • Practice Opportunity Solution: Modify initiate_chat() Function ParametersVideo · 2 min
  • Task 5. Configure Multi-Model AI Agents in AutoGen with Gemini & OpenAI's GPT-4oVideo · 5 min
  • ❓Practice Opportunity Question: Configure AI Agents using Anthropic's ClaudeVideo · 1 min
  • Practice Opportunity Solution: Configure AI Agents using Anthropic's ClaudeVideo · 3 min
  • Task 6. Trigger Multi-Model AI Agents Conversations in AutoGenVideo · 4 min
  • ❓Practice Opportunity Question: Adjusting AI Agent's Creativity LevelVideo · 1 min
  • Practice Opportunity Solution: Adjusting Agent's Creativity LevelVideo · 3 min
  • Task 7. Adding Human (User Proxy Agent) & Leveraging Group ChatVideo · 11 min
  • ❓Practice Opportunity Question: Adding Claude's Social Media Strategist to ChatVideo · 1 min
  • Practice Opportunity Solution: Adding Claude's Social Media Strategist to ChatVideo · 4 min
  • Conclusion, Summary, & Thank You Message!Video · 3 min
UNIDAD 15 - Day 11: Building AI Agentic Workflows in LangGraph · 24 lecciones

UNIDAD 15 - Day 11: Building AI Agentic Workflows in LangGraph
  • Task 1. Project Introduction - Building Agentic Workflows in LangGraphVideo · 4 min
  • Task 2. Understand LangGraph Components (Nodes, Edges, & State Graph) & FeaturesVideo · 11 min
  • Task 3. Build Your First Agentic AI Workflow in LangGraph - Part 1Video · 10 min
  • Task 3. Build Your First Agentic AI Workflow in LangGraph - Part 2Video · 6 min
  • ❓Practice Opportunity Question: Test Summarization AI Agent in LangGraphVideo · 1 min
  • Practice Opportunity Solution: Test Summarization AI Agent in LangGraphVideo · 1 min
  • Task 4. Build Multi Node Agentic Workflow in LangGraphVideo · 5 min
  • ❓Practice Opportunity Question: Add a New Node (Sentiment) to Agentic WorkflowVideo · 1 min
  • Practice Opportunity Solution: Add a New Node (Sentiment) to Agentic WorkflowVideo · 6 min
  • Task 5. Develop Agentic AI Workflow with One Tool & Conditional Edges - Part 1Video · 11 min
  • Task 5. Develop Agentic AI Workflow with One Tool & Conditional Edges - Part 2Video · 13 min
  • ❓Practice Opportunity Question: Calling Tools in LangGraphVideo · 1 min
  • Practice Opportunity Solution: Calling Tools in LangGraphVideo · 4 min
  • Task 6. Create and Add a New Custom Tool to LangGraph WorkflowsVideo · 2 min
  • ❓Practice Opportunity Question: Define New Custom Tools in LangGraphVideo · 0 min
  • Practice Opportunity Solution: Define New Custom Tools in LangGraphVideo · 3 min
  • Task 7. Leverage LangGraph to Perform Flight Search with Amadeus Tool & ToolNodeVideo · 8 min
  • ❓Practice Opportunity Question: Adding Hotel Search Tool Using AmadeusVideo · 1 min
  • Practice Opportunity Solution: Adding Hotel Search Tool Using AmadeusVideo · 4 min
  • Task 8. Bringing Everything Together & Building the AI Booking AgentVideo · 3 min
  • ❓Practice Opportunity Question: Test the AI Agent Booking ToolVideo · 1 min
  • Practice Opportunity Solution: Test the AI Agent Booking ToolVideo · 1 min
  • Task 9. Build a Gradio Integration for the Booking AI Agent in LangGraphVideo · 4 min
  • Summary & Thank You!Video · 3 min
UNIDAD 16 - Day 12: Build A Team of Data Science AI Agents Using CrewAI · 40 lecciones

UNIDAD 16 - Day 12: Build A Team of Data Science AI Agents Using CrewAI
  • Task 1. Project Intro - Build a Team of Data Scientists Using CrewAIVideo · 8 min
  • Task 2. Build Train and Evaluate ML Models Regression OverviewVideo · 4 min
  • Task 2A. Project Introduction ML regressionVideo · 4 min
  • Task 2B. Machine Learning Regression 101Video · 10 min
  • ❓Practice Opportunity Question: Regression 101Video · 1 min
  • Practice Opportunity Solution: Regression 101Video · 2 min
  • Task 2C. Import Libraries & Perform Data Inspection - Part 1Video · 13 min
  • Task 2C. Import Libraries & Perform Data Inspection - Part 2Video · 7 min
  • ❓Practice Opportunity Question: Perform Data InspectionVideo · 1 min
  • Practice Opportunity Solution: Perform Data InspectionVideo · 3 min
  • Task 2D. Data Imputation & Handling Missing DatasetVideo · 7 min
  • ❓Practice Opportunity Question: Data Imputation & Handling Missing DatasetVideo · 1 min
  • Practice Opportunity Solution: Data Imputation & Handling Missing DatasetVideo · 4 min
  • Task 2E. Perform Exploratory Data Analysis (EDA) and VisualizationVideo · 16 min
  • ❓Practice Opportunity Question: EDA and VisualizationVideo · 2 min
  • Practice Opportunity Solution: EDA and VisualizationVideo · 3 min
  • Task 2F. Data Pre-Processing (One-Hot-Encoding & Train/Test Split)Video · 15 min
  • ❓Practice Opportunity Question: Data Pre-Processing & Train/Test SplitVideo · 1 min
  • Practice Opportunity Solution: Data Pre-Processing & Train/Test SplitVideo · 2 min
  • Task 2G. Build Linear Regression Models Using Scikit-Learn LibraryVideo · 10 min
  • ❓Practice Opportunity Question: Build Linear Regression ModelsVideo · 1 min
  • Practice Opportunity Solution: Build Linear Regression ModelsVideo · 2 min
  • Task 2H. Build Random Forest Regression Models Using Scikit-LearnVideo · 11 min
  • ❓Practice Opportunity Question: Build Random Forest & XG-Boost Regression ModelsVideo · 1 min
  • Practice Opportunity Solution: Build Random Forest & XG-Boost Regression ModelsVideo · 5 min
  • Task 2I. Feature Importance AnalysisVideo · 3 min
  • ❓Practice Opportunity Question: Feature Importance AnalysisVideo · 1 min
  • Practice Opportunity Solution: Feature Importance AnalysisVideo · 3 min
  • Task 3. Understand CrewAI Key Components (Agents, Tasks, Tools)Video · 11 min
  • Task 4. Import and Test NotebookCodeExecutor ToolVideo · 10 min
  • ❓Practice Opportunity Question: Test NotebookCodeExecutor ToolVideo · 1 min
  • Practice Opportunity Solution: Test NotebookCodeExecutor ToolVideo · 2 min
  • Task 5. Define Multiple AI Agents in CrewAIVideo · 9 min
  • ❓Practice Opportunity Question: Modify Existing AI AgentsVideo · 1 min
  • Practice Opportunity Solution: Modify Existing AI AgentsVideo · 1 min
  • Task 6. Define Key Tasks in CrewAI & Responsible AgentsVideo · 12 min
  • Task 7. Creating & Assembling the Crew & Automating Data Science Workflow!Video · 7 min
  • ❓Practice Opportunity Question: Modifying Tasks to Build Decision TreesVideo · 1 min
  • Practice Opportunity Solution: Modifying Tasks to Build Decision TreesVideo · 6 min
  • Summary & Concluding RemarksVideo · 4 min
UNIDAD 17 - Day 13: Build Agentic AI Workflows in n8n · 14 lecciones

UNIDAD 17 - Day 13: Build Agentic AI Workflows in n8n
  • Introduction to n8n, Key Features, and Module Learning ObjectivesVideo · 11 min
  • Build Your First Summarization Agentic AI Workflow in n8nVideo · 16 min
  • Export Workflow, Track Variables and Monitor LogsVideo · 6 min
  • ❓Practice Opportunity Question: Build a Translation Agentic Workflow Using ClaudVideo · 1 min
  • Practice Opportunity Solution: Build a Translation Agentic Workflow Using ClaudeVideo · 5 min
  • Adding Search Capabilities, Memory, and Exploring n8n TemplatesVideo · 9 min
  • ❓Practice Opportunity Question: Test the Agent Search CapabilitiesVideo · 1 min
  • Practice Opportunity Solution: Test the Agent Search CapabilitiesVideo · 2 min
  • Adding Google Sheet Integrations in n8n Agentic WorkflowsVideo · 13 min
  • ❓Practice Opportunity Question: Build Agentic AI Workflow to Convert from PythonVideo · 2 min
  • Practice Opportunity Solution: Build Agentic AI Workflow to Convert from PythonVideo · 7 min
  • Generate Parsed Structured Output Using Output Parser in n8nVideo · 9 min
  • Build Workflows to Schedule Calendar Meetings in Google CalendarsVideo · 16 min
  • Adding Email Triggering CapabilityVideo · 9 min
UNIDAD 18 - Day 14: Build AI Agents with Model Context Protocol (MCP) & OpenAI Agents SDK · 13 lecciones

UNIDAD 18 - Day 14: Build AI Agents with Model Context Protocol (MCP) & OpenAI Agents SDK
  • Task 1. Project Overview with MCP & OpenAI Agents SDKVideo · 7 min
  • Task 2. Understanding Model Context Protocol (MCP)Video · 8 min
  • Task 3. Install Key Libraries and Configure APIsVideo · 6 min
  • Task 4A. Build and Configure the MCP Server with Tools (Part 1)Video · 8 min
  • Task 4A. Build and Configure the MCP Server with Tools (Part 2)Video · 4 min
  • Task 4B. Launch the MCP ServerVideo · 8 min
  • ❓Practice Opportunity Question: Adding a New Tool to the MCP ServerVideo · 0 min
  • Practice Opportunity Solution: Adding a New Tool to the MCP ServerVideo · 7 min
  • Task 5. Explore Tools on MCP Server and Fetch the Manifest (Schema)Video · 5 min
  • ❓Practice Opportunity Question: MCP Server Manifest (Schema)Video · 1 min
  • Practice Opportunity Solution: MCP Server Manifest (Schema)Video · 3 min
  • Task 6. Create an AI Agent Using OpenAI Agents SDK With MCP ToolsVideo · 7 min
  • Conclusion, Summary, & Thank You!Video · 2 min
UNIDAD 19 - Congratulations and Thank You! · 2 lecciones

UNIDAD 19 - Congratulations and Thank You!
  • Congratulations and Thank You!Video · 1 min
  • Join our Free Community & Connect with Learners worldwideLectura · 0 min
UNIDAD 20 - Labs (Beta) · 3 lecciones

UNIDAD 20 - Labs (Beta)
  • Lab 1 - Hands-on With OpenAI APIVideo · 1 min
  • Lab 2 - Creating AI Personalities with System PromptsVideo · 2 min
  • Lab 3 - Image Recognition Using OpenAI VisionVideo · 1 min
Certificado oficial

Tu certificado lo emite la SEP, no solo una plataforma

Al demostrar la competencia recibes un certificado emitido por la Secretaría de Educación Pública a través del Gobierno del Estado de México: un documento oficial que puedes presentar con confianza ante cualquier empleador o institución.

Tu certificado con INEC

  • Lo emite la Secretaría de Educación Pública (SEP), a través del Gobierno del Estado de México
  • Documento oficial con folio verificable en línea
  • Lo otorga la Universidad Tecnológica Fidel Velázquez

Otras plataformas en línea

  • Constancia privada emitida por la misma plataforma
  • Solo acredita horas cursadas o asistencia
  • Sin respaldo de una autoridad educativa
Cómo funciona

Tu itinerario, de la inscripción al certificado

  1. 1

    Inscripción con pago único

    Pagas $2,800 MXN una sola vez y entras de inmediato al curso.

  2. 2

    Estudias a tu ritmo

    20 unidades con videos, lecturas y actividades, disponibles 24/7 durante 12 meses.

  3. 3

    Cuestionarios por unidad

    Cuestionarios para comprobar lo aprendido.

  4. 4

    Certificado

    Emitido por la SEP a través del Gobierno del Estado de México, con folio verificable.

Lo que obtienes

Un certificado oficial de la SEP

Muestra del certificado: LLM Engineering, RAG, & AI Agents Masterclass [2026]

Muestra · verificable por folio y QR

  • Emitido por la Secretaría de Educación Pública (SEP), a través del Gobierno del Estado de México. No es una constancia privada: es un documento oficial, y ese respaldo marca la diferencia frente a otras plataformas en línea.
  • Contenido impartido por Prof. Ryan Ahmed, PhD, MBA.
  • Folio y QR verificables para compartirlo con quien te contrate.
Medios que necesitas
Equipo de cómputo Conexión estable a internet
Pago único

Empieza hoy, a tu ritmo

Un solo pago y acceso inmediato al curso completo durante 12 meses.

  • 20 unidades · 302 lecciones · 60 h
  • 12 meses de acceso
  • Certificado emitido por la SEP (Gob. del Estado de México) con folio verificable
Pago único
$2,800MXN
Acceso por 12 meses
Inscribirme Hablar con un asesor
Preguntas frecuentes

Sobre tu inscripción

¿Cómo es el pago?

Un solo pago de $2,800 MXN. No hay mensualidades ni cargos recurrentes.

¿Cuánto tiempo tengo acceso?

12 meses desde tu inscripción, 24/7, para avanzar a tu ritmo.

¿Quién imparte el contenido?

El curso es impartido por Prof. Ryan Ahmed, PhD, MBA; INEC gestiona tu inscripción, evaluación y certificado.

¿Qué pasa cuando vence mi acceso?

Puedes renovar tu cuenta tú mismo desde la plataforma, sin trámites ni esperas.

Certificado emitido por la SEP a través del Gobierno del Estado de México · LLM Engineering, RAG, & AI Agents Masterclass [2026]

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