The Agentic AI Engineer Cohort is a rigorous 10-week program designed for developers looking to move beyond simple LLM wrappers. You will learn the theoretical foundations and practical implementations of autonomous AI agents. We cover everything from core prompting techniques like ReAct and Chain-of-Thought to building robust multi-agent orchestration frameworks using tools like LangChain, AutoGen, and CrewAI. By the end of this cohort, you will have built a production-ready agentic system capable of autonomous problem solving.
Agentic AI Engineer Cohort
Master the architecture and development of autonomous AI agents. Learn to build multi-agent systems that plan, execute, and self-correct complex workflows.
Program Overview
Key Skills & Outcomes
Design and deploy autonomous multi-agent architectures
Implement ReAct, Plan-and-Solve, and self-reflection patterns
Integrate external tools, APIs, and memory systems into agents
Deploy agents securely using Docker and cloud infrastructure
Evaluate and debug complex agentic workflows
Curriculum & Modules
01
Module 1: Foundations of Agentic AI
Moving beyond conversational AI to goal-oriented agents, LLM limitations, and the anatomy of an autonomous agent.
02
Module 2: Advanced Reasoning Patterns
Mastering Chain-of-Thought, ReAct, Tree of Thoughts, and reflection loops for improved accuracy.
03
Module 3: Memory and Context Management
Implementing short-term buffer memory, long-term vector stores, and episodic memory retrieval.
04
Module 4: Tool Use & API Integrations
Teaching LLMs to interact with the outside world through function calling and REST APIs.
05
Module 5: Multi-Agent Orchestration
Coordinating specialized agents using frameworks like AutoGen and CrewAI to solve complex tasks collaboratively.
06
Module 6: Capstone Project Deployment
Building, securing, and deploying your production-grade agentic system.