| File Name: | Learn to Build Autonomous AI Agents 10x Faster: Python 2026 |
| Content Source: | https://www.udemy.com/course/build-ai-agents-agentic-2026-python-langchain-langgraph/ |
| Genre / Category: | Ai Courses |
| File Size : | 1.4 GB |
| Publisher: | MetaTact AI Experts |
| Updated and Published: | January 14, 2026 |
What you’ll learn:
- Build a complete AI agent from scratch using 100% open-source tools with no API costs
- Understand the fundamental differences between simple chatbots and intelligent agentic AI systems
- Implement web search capabilities so your agent can access real-time information from the internet
- Create persistent memory systems using ChromaDB vector database for conversation history
- Add file upload functionality to analyze PDFs and text documents with AI
- Master the ReAct pattern (Reasoning + Acting) for intelligent decision-making
- Implement chain-of-thought prompting for complex problem-solving
- Build self-correction loops where agents validate and improve their own responses
- Design agentic workflows using LangGraph with state machines and conditional routing
- Run large language models locally using Ollama (llama3.2) with complete privacy
- Create interactive chat interfaces with Streamlit for production-ready applications
- Implement semantic search and vector embeddings for intelligent memory retrieval
- Build autonomous agents that choose tools, plan actions, and execute tasks independently
- Customize agent personality and behavior through advanced prompt engineering
Course Description
Stop paying for expensive AI APIs. Start building your own intelligent agents. This comprehensive course teaches you how to build agentic AI systems from the ground up using modern open-source technologies. Unlike simple chatbots, agentic AI can reason, plan, use tools, remember conversations, and make autonomous decisions—all running locally on your machine with zero API costs.
What Makes This Course Different:
- 100% Open Source – No proprietary APIs, no vendor lock-in, no recurring costs
- Complete Source Code Included – Every lecture comes with fully working code you can download and customize
- Hands-On Practice Exercises – Carefully designed exercises that enhance your skills and add powerful features to your agent Production-Ready Skills – Build real applications, not toy examples.
- Local Development – Everything runs on your laptop with full data privacy
- Modern AI Stack – Learn the tools used by professional AI engineers today
What You’ll Build
By the end of this course, you’ll have created a fully functional agentic AI application with these capabilities:
- Web Search Integration – Agent searches DuckDuckGo for current information automatically
- Document Analysis – Upload PDFs or text files and ask questions about their content
- Persistent Memory – Conversations are remembered across sessions using vector database technology
- Intelligent Decision Making – Agent decides when to search, when to analyze files, or when to use existing knowledge
- Self-Correction – Validates its own answers and refines them if needed
- Autonomous Planning – Uses the ReAct pattern to reason before taking action
- State Management – Built with LangGraph for complex multi-step workflows
- User Sessions – Multiple users can have separate conversations with persistent history
- Customizable Personality – Change agent behavior through prompt engineering
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