Agentic AI

Coding with AI

AI Evals

AI for PMs

AI for Engineers

AI for Designers

AI for Marketers

AI for Founders

Product

User Research

Prototyping

Growth

Strategy

Influence

Leadership

Career Growth

Engineering

Machine Learning

Security

System Design

Design

Figma

Design Systems

Design Strategy

Marketing

Content Marketing

Go-to-Market

Product Marketing

B2B Marketing

AI for Leaders

Communication

Management

Storytelling

Founders

More

Everyone

Operators

Data Scientists

User Researchers

Project Managers

Sales People

Lawyers

Finance

Investors

Real Estate

Gain actionable insights to how AI is transforming business strategy and operations.  A highly ranked AI learning accelerator experience.


Veteran, Harvard Instructor, Tech Leader

Harvard University

TikTok

Barclays

U.S. Naval Academy

Andy Storey MBA MSc

Navy veteran and current Harvard instructor, big tech leadership experience


April  2026

💡 About the Program - What will you learn?Participants will explore how AI technologies can be leveraged to enhance business operations, drive innovation and gain a competitive advantage across various industries. The course combines research-driven theoretical insights with practical applications, case studies and interactive discussions. It is not intended to be a deeply technical learning experience; therefore prior coding expertise or extensive computer science knowledge is not essential. 👨‍🏫 About Your Instructor - Who is Andy Storey?Andy Storey is a Navy veteran and former Senior Director of Labs at Harvard’s Digital Data Design Institute, a global research center focused on leveraging AI and digital technologies to advance business and society.With extensive leadership experience across government, finance and technology sectors, Andy actively teaches at Harvard University. After leaving Meta, he joined ByteDance to build and lead the Global Resilience Operations and Critical Incident Management teams at TikTok.You can find out more at Andy's LinkedIn profile here:🔗 https://www.linkedin.com/in/andy-storey/

Gain actionable insights from the frontiers of academic research and industry


Understanding key AI concepts and enabling technology

Identify different types of AI applications

Evaluate digital and AI readiness in your organization

Introduction to AI Product Management

Creating a strategy aligned to your business objectives

Explore AI applications across different business functions

An understanding of fundamental business, general management and computer science principles is recommended.

⁉️ What do I need to get the most of the program?

Mid-career professionals seeking to build their knowledge of AI applications across industry

Business leaders and entrepreneurs seeking to understand how to evaluate AI opportunities within their organization

Executives wishing to assess technical and organizational requirements for AI initiatives, then create frameworks for responsible deployment

Become an Agentic AI Engineer by building real-world, production-ready AI agents that autonomously reason and execute complex tasks.

Cohort 1

Professor & AI Expert (510K+ Students)

General Motors

Samsung

HSBC

Stellantis

Dr. Ryan Ahmed

Professor, AI expert, & YouTuber who has taught 500,000+ learners worldwide.

Cohort 2

Agentic AI Engineering is 2026's most in-demand skill. Software is shifting from static systems to AI-native architectures, where autonomous agents reason, plan, and execute complex work.The problem: Most developers are stuck building fragile API wrappers and they lack the architectural depth to manage state, memory, and multi-agent coordination in real production systems.The Solution: This bootcamp is your bridge to elite Agentic AI engineering. We move past the basics to architect robust, fault-tolerant agent fleets where specialized agents collaborate autonomously in production.What makes this course unique?<ul><li>Production-Grade Architecture: Engineer real systems using LangGraph, CrewAI, &amp; AutoGen.</li><li>Automate Agent Workflow Creation: Use Claude Code &amp; Codex to generate, refactor, and evolve agent workflows.</li><li>Standardization (MCP): Build secure, interoperable tools using the Model Context Protocol.</li><li>Enterprise Reliability: Design for guardrails, persistent memory, observability, &amp; human-in-the-loop safety. </li></ul><h3>Capstone Project (Real-World Application)</h3>Design &amp; deploy a production-grade, portfolio-ready agentic AI system for real-world use, demonstrating senior-level Agentic AI engineering skills.

Master Agentic AI Engineering & Architect Production-Grade Autonomous Systems

Architect, build & deploy production-grade agentic AI systems end-to-end

Orchestrate Autonomous Multi-Agent Teams

Master Tool Use & The Model Context Protocol (MCP)

Automate Workflows with AI Coding Assistants

Engineer Context-Aware Agents with Retrieval Augmented Generation (RAG)

Deploy, Monitor & Benchmark for Enterprise

Software Engineers &amp; Developers wanting to master state-of-the-art Agentic AI frameworks and build autonomous, production-grade AI agents.

Technical Founders &amp; CTOs who want to architect scalable, fault-tolerant autonomous systems that serve as your product's core engine.

Modern ML &amp; Data Science Practitioners who want to evolve from static models to dynamic Agentic AI workflows that reason, plan, &amp; execute.

Artificial Intelligence

For Leaders

For Engineers

Programming

Agentic AI

Cohort-based courses

You may be interested in