Master AI Agent Development LangChain, OpenAI, Ollama, MCP

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
Homepage

https://www.udemy.com/course/master-ai-agent-development-langchain-openai-ollama-mcp/

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