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Master AI Agents: LangChain & Prompt Engineering (Full Beginner Guide)

Stop treating AI like a simple chatbot! Most people think AI is just typing prompts into a chatbox, but that is only the beginning. Welcome back to Learning Master Hub—in today’s video, we are moving beyond basic prompts and learning how to build real, autonomous AI agents from scratch.

In this ultimate LangChain tutorial for beginners, you will learn how to connect powerful cloud models like the OpenAI API and Google's Gemini API to your Python workflows. Plus, we’ll show you how to run local LLMs completely free using Ollama, giving you the power to build secure AI systems without relying entirely on cloud APIs.

Whether you are a Python developer, a tech consultant, or someone just entering the AI/ML space, this step-by-step guide will give you the practical skills to build real-world AI products.

👉 By the end of this tutorial, you will master:

Python AI Setup: Setting up a professional, production-ready Python environment.

API Integration: Connecting LangChain seamlessly with OpenAI and Gemini APIs.

Local AI Models: Running powerful, private local LLMs using Ollama.

Agent Architecture: Building and testing your very first AI Agent script.

Advanced Prompting: Moving beyond basic text generation into structured, real-world AI workflows.

Who is this video for?

Python developers looking to upgrade their skillset.

Beginners diving into Artificial Intelligence and Machine Learning.

Engineers wanting to build and scale their own AI products.

Anyone interested in mastering Prompt Engineering and AI Agent workflows.
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Видео Master AI Agents: LangChain & Prompt Engineering (Full Beginner Guide) канала Learning master
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