Master AI Agent Development LangChain, OpenAI, Ollama, MCP

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Free Download Master AI Agent Development LangChain, OpenAI, Ollama, MCP
Published 10/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 5h 6m | Size: 3.77 GB
Learn to build, deploy, and fine-tune intelligent AI Agents using LangChain, OpenAI, GPT-2, Ollama, MCP Anthropic Agents

What you'll learn
Build AI agents step by step using LangChain
Understand hands on practice of fine-tuning large language models
Integrate external tools and APIs to enhance agent capabilities
Develop real-world AI workflows and deploy agents in under 30 minutes
Deploy Agents using Cloud Frameworks and utilize MCP Local Servers
Requirements
Basic knowledge of Python will be helpful
Description
Welcome to "Build Powerful AI Agents: From LangChain to Local LLMs", your all-in-one course to become a complete AI Agent Engineer. Whether you're a developer, data scientist, or AI enthusiast, this course will guide you step-by-step through building intelligent, multimodal, and voice-based AI systems - from the cloud (OpenAI) to local environments (Ollama & MCP).By the end of this course, you'll gain hands-on experience developing smart, interactive, and deployable AI agents that can think, talk, reason, and adapt - the same way top AI startups do it today.What You'll LearnUnderstand how LangChain Agents work and how to integrate them with OpenAI APIs.Build Voice-based Emotion and Wellness Companions using Whisper & TTS.Create Virtual AI Talking Agents and Copilot Systems that perform autonomous tasks.Implement RAG-powered assistants using LLaMA 3.1 and Pinecone.Learn the basics of PyTorch for deep learning and model training.Explore Hugging Face and GPT models for NLP and dataset customization.Understand MCP (Model Context Protocol) and use FastMCP to connect LLMs with databases.Master Fine-Tuning techniques and understand the difference between Fine-Tuning vs RAG.Deploy Local LLMs (like Gemma and Qwen) using Google Colab + Ngrok for free hosting.Hands-on Labs and ImplementationsEnroll now and become the expert of Generative AI.
Who this course is for
Beginners curious about AI Agents
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3.77 GB | 24min 27s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English​

Files Included :

Spoiler

FileName :1 - What is MCP.mp4 | Size: (168.43 MB)
FileName :2 - Understanding FASTMCP A Python Framework for Building and Developing MCP.mp4 | Size: (100.5 MB)
FileName :3 - Building a FastMCP setup integrated with a local database and an Ollama Agent.mp4 | Size: (343.13 MB)
FileName :1 - Understanding Embeddings in the world of NLP.mp4 | Size: (159.12 MB)
FileName :2 - Running Our First Local LLM using Qwen Model.mp4 | Size: (89.69 MB)
FileName :3 - Building a RAG-powered Assistant with LLaMA 3 1 using Pinecone.mp4 | Size: (312.2 MB)
FileName :4 - Deepseek Coder Assistant.mp4 | Size: (124.35 MB)
FileName :1 - LangChain Agents - Recording 2025-09-17 080254.mp4 | Size: (48.36 MB)
FileName :1 - LangChain Agents.mp4 | Size: (70.83 MB)
FileName :2 - AI Voice Agent Emotion Analysis & Wellness Companion.mp4 | Size: (162.37 MB)
FileName :3 - Virtual AI Based Talking Agents.mp4 | Size: (80.37 MB)
FileName :4 - AI Copilot Agent.mp4 | Size: (133.26 MB)
FileName :5 - Building a Voice-to-GPT Agent with Streamlit, FastAPI, Whisper & TTS.mp4 | Size: (134.19 MB)
FileName :6 - AI Fitness & Diet Planner Agent.mp4 | Size: (106.88 MB)
FileName :1 - Hugging Face Tutorial.mp4 | Size: (138.8 MB)
FileName :2 - Exploring the GPT-2 Model and Understanding Custom Datasets with Hugging Face.mp4 | Size: (146.59 MB)
FileName :3 - Deep Understanding of Language Models.mp4 | Size: (105.17 MB)
FileName :4 - Inside Transformer Architecture How It Works.mp4 | Size: (229.39 MB)
FileName :1 - PyTorch Core Principles and Foundations.mp4 | Size: (200.09 MB)
FileName :1 - What is LlamaIndex & its Use-Cases.mp4 | Size: (125.24 MB)
FileName :1 - Mastering Fine-Tuning Exploring Types & Techniques in the LLM Era.mp4 | Size: (133.42 MB)
FileName :2 - Fine-Tuning VS RAG.mp4 | Size: (83.8 MB)
FileName :3 - Hands-On Fine-Tuning From Theory to Practice.mp4 | Size: (447.96 MB)
FileName :1 - Deploy the Gemma model on Google Colab & expose it to the web using Ngrok cloud.mp4 | Size: (207.31 MB)

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