Master AI Agent Development: LangChain, OpenAI, Ollama, MCP

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 Learn

• Understand 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 Implementations

Enroll now and become the expert of Generative AI.