Master Agentic AI: Build Real-World Autonomous AI Agents with Python, OpenAI SDK, CrewAI, LangGraph, AutoGen, MCP
Description
Are you excited about the future of AI, where intelligent agents can think, act, and collaborate autonomously to solve complex tasks?
Welcome to the Complete Agentic AI Bootcamp with LangGraph and LangChain — your all-in-one guide to building powerful, real-world AI agents from scratch.
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This hands-on course teaches you everything you need to master Agentic AI, LangGraph, and LangChain — the leading frameworks for developing autonomous AI agents and multi-agent systems.
What You’ll Learn:
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Understand the core principles of Agentic AI and how agents differ from traditional AI models.
Build agents using LangGraph and LangChain with memory, tools, and structured workflows.
Architect and deploy multi-agent systems that communicate, reason, and achieve shared goals.
Create real-world Agentic AI applications: autonomous research bots, task automation agents, and RAG-based assistants.
Apply OpenAI Agents SDK, CrewAI, AutoGen, and Anthropic’s MCP to build production-ready, scalable agentic solutions.
Why This Course?
Hands-On Projects (8 Real-World Builds): Create advanced agentic apps, not just theory.
Beginner to Expert: No prior LangGraph or LangChain experience needed — we start from the fundamentals.
Commercial Use Cases: Learn how to apply Agentic AI in domains like search, research, task planning, customer support, and more.
Master Cutting-Edge Tools: Stay ahead of the curve with AutoGen, OpenAI SDK, CrewAI, and the latest innovations in AI.
By the End of This Course, You Will:
Build and deploy intelligent agents that can operate independently
Architect complex agentic workflows with LangGraph and LangChain
Apply Agentic AI to real-world business challenges
Gain hands-on experience with 8 cutting-edge projects
Be ready to lead the future of autonomous AI innovation
Whether you’re a developer, data scientist, AI/ML engineer, or an AI enthusiast, this course is your ultimate launchpad into Agentic AI.
Join us now and become a master of intelligent agents — shaping the future of AI in 2025 and beyond!
| Total Students | 2571 |
|---|---|
| Duration | 19 hours |
| Language | English (US) |
| Original Price | |
| Sale Price | 0 |
| Number of lectures | 96 |
| Number of quizzes | 0 |
| Total Reviews | 65 |
| Global Rating | 4.5916667 |
| Instructor Name | TechLink Selenium | DevOps | GenAI |
Course Insights (for Students)
Actionable, non-generic pointers before you enroll
Student Satisfaction
86% positive recent sentiment
Momentum
Steady interest
Time & Value
- Est. time: 19 hours
- Practical value: 7/10
Roadmap Fit
- Beginner → Advanced → Advanced
Key Takeaways for Learners
- Automation
- Hands On
- Real World
Course Review Summary
Signals distilled from the latest Udemy reviews
What learners praise
- Hands On
- Real World
- Practical
- Project
- Step By Step
Watch-outs
- Too fast
- Too slow
- Missing project
Difficulty
Best suited for
Practitioners optimizing at scale, Doers who prefer project-led learning, Learners who like theory + frameworks
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