Agentic AI Engineering: Build RealWorld Autonomous AI Agents

Agentic AI Engineering: Build RealWorld Autonomous AI Agents
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

Master Agentic AI: Build Real-World Autonomous Agents with Python, OpenAI SDK, CrewAI & LangGraph

What you’ll learn
Learn to build intelligent agents from scratch using LangChain, LangGraph, and LLMs to solve real-world business tasks.
Get hands-on with state management, structured outputs, and dynamic agent behavior to create responsive, scalable AI systems.
Develop collaborative agent ecosystems that communicate and solve complex challenges using cutting-edge agent architecture.
Build autonomous agents for coding, research, and task automation using CrewAI, OpenAI SDK, and proven AI design patterns.
Discover how to deliver business-ready agentic AI solutions with 8+ real-world projects and open-source integrations.
Stay ahead in AI with tools like AutoGen Core, Anthropic’s MCP, and repeatable Agentic patterns for robust AI development.

Requirements
Understanding of APIs and RESTful services (basic level).
Familiarity with Large Language Models (LLMs) concepts (like OpenAI, Hugging Face models, etc.).

Description
Who this course is for:
AI/ML Engineers and Developers who want to build advanced AI agent workflows and autonomous applications., Data Scientists and Researchers looking to integrate agentic behavior into their data-driven projects., Tech Enthusiasts and Students eager to explore the next generation of AI application development with practical hands-on projects., Software Engineers interested in learning how to orchestrate multi-agent systems using modern frameworks like LangGraph.

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