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
- Basic knowledge of Python programming (variables, functions, classes).
- Understanding of APIs and RESTful services (basic level).
- Familiarity with Large Language Models (LLMs) concepts (like OpenAI, Hugging Face models, etc.).
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.
Your Instructor
TechLynk Selenium | DevOps | GenAI | Cloud
Software Architect
4.5 Instructor Rating
27,581 Reviews
394,885 Students
27 Courses
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