Master Enterprise
AI Agent
Engineering
From React Patterns to Multi-Agent Systems. Build production-grade AI agents with hands-on guidance.
Previously at
Why Take This Course?
Building AI agents is more than calling an LLM. Modern enterprise systems demand agentic mindset and best frameworks for orchestration of multiple agents.
In this course you will get:
Enterprise-Ready Design Principles
Python Notebook for Execution
Enterprise Agentic Architectures
Guest Lectures from Industry Practitioners
Enterprise Agentic AI Focus
Not just Chatbots but
Production grade
Autonomous Agents
Get the best of Agentic AI
Hands on practice on:
Scalable agent systems
Design systems that coordinate tasks, share memory, and operate in real-time environments.
Scalable Multi-Agent RAG Architecture
Build Multi-Agent RAG Systems with persistent memory, tool orchestration, and modular planning flows.
Enterprise-ready agentic system
Data-driven experimentation reduces time-to-market from quarters to weeks
Prerequisites
Who should take this course?
Product Managers and Strategists
You bridge business goals with technical execution. You want to learn how to translate product requirements into AI agent capabilities, define success metrics, and collaborate effectively with technical teams.
Technical Architects and Data Scientists
You already understand data pipelines and model basics. You want to learn how to integrate language models into agent workflows.
Technical Consultants and Strategists
You advise clients on AI roadmaps or make decisions about AI investments. You need a deep understanding about Agentic systems.
Tech Leads and Backend Developers
You need to coordinate multiple services and agents in your organization. You want to learn best practices for orchestration and others.
Course Content
Live sessions with hands-on Python Notebooks
Q&A and feedback with the instructor
Lifetime access to course content and recordings
