AI Agents Bootcamp: Solve Business Problems with AI Agents and Automation
Learn to build AI agents and AI automation that solve real business problems, mentored by ex-AWS AI engineer and Alexa PM.
Hosted by John Hwang
Founder, Enterprise AI Trends | Ex-AWS AI, Alexa PM | Stanford CS
Learn to build AI agents and automations that solve real business problems
AI Agents Bootcamp is a five-week, high-accountability program that helps you confidently identify, validate, and prototype AI solutions that solve real business problems—whether that's through multi-step agents, intelligent automation, or a hybrid of both.
AI is moving fast—but so are the opportunities. The time to build AI agents is now: companies of all sizes are initiating AI agent programs in 2025.
This isn't yet another cohort class that promises to "break you into AI". We will be doing hands-on work to teach you how to ideate, scope, and prototype AI solutions.
In addition to lectures, we will build together 2 solutions, one focused on agentic AI, and one on business automation ($3000 value). You will get access to over extra 8 hours of group coaching ($2,000+ value) that you can work on your own capstone project with my mentorship.
By the end of this course, you'll be able to:
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Confidently identify and validate AI opportunities
that are feasible, defensible, and actually worth doing
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Design agentic systems and automations
that solve real business problems—and know when to use which
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Prototype quickly and credibly
with the clarity to explain what you built, why it works, and how it delivers ROI
Why this course was created
Thanks to agentic AI and automation, we can now build intelligent systems that reason, take action, and drive measurable business impact.
But most builders, consultants, product managers, and operators are stuck.
Why?
First, many lack a clear framework for spotting and qualifying high-value opportunities for implementing AI agents and automations. They either chase the latest shiny tool or sit paralyzed, unsure what's worth building. Or, they're overloaded with noise and lack a way to filter signal from hype. Without a clear approach, everything feels like a guess—and nothing moves forward.
Or, even when they do decide on an idea, they are often stuck at architecting the solution.They're unclear on what today's AI can reliably do, what's still flaky, and how to connect the dots between models, tools, and workflows. The result? Either overengineered tech demos that never launch, or vague ideas that stall out in meetings.
This course is designed to close that gap—by giving you the strategic lens and the technical confidence to move from "AI sounds cool" to "Here's what we should build, why it matters, and how it'll work."
You'll learn:
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How to spot and qualify AI agent and automation opportunities in different domains, with explanations of proven implementations.
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When to use agentic architectures vs. automations—and how to design the right solution
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How to rapidly prototype AI agent and automation solutions that demonstrate value and de-risk execution
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How to calculate and communicate ROI, risk, and feasibility to clients, execs, or partners
You'll also get:
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Two live build-alongs: one focused on agentic AI, one on business automation
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Frameworks and templates for opportunity validation and solution architecture
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Reusable code, prompts, and scaffolds to speed up your own builds
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A capstone project you can pitch, launch, or scale post-bootcamp
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Weekly live lectures, group coaching, and direct feedback from me throughout
Who is this course for
Business leaders and entrepreneurs
Learn to grow your business and increase margins by automating business processes with AI agents
Consultants and agencies
Deliver value by creating an AI consultancy offering with repeatable and proven AI solution templates
Product Managers and Internal Leaders
Learn to spearhead internal AI projects with real ROI to advance your career
About Your Instructor
John Hwang
Founder, Enterprise AI Trends | Ex-AWS AI, Alexa PM | Stanford CS
John Hwang is the creator of "Enterprise AI Trends" newsletter, read by over 30,000 readers per month. His audience includes founders, product managers, consultants, engineers, and VCs across Americas, Europe, and Asia.
Previously, John was a Generative AI architect at AWS, where he helped Fortune 500 companies build out enterprise AI platforms and develop vertical AI strategy across call-center automation, loan origination, intelligent document processing, and customer support. Prior to AWS, John was an early PM at Alexa, where he helped build the developer platform for Alexa Skills. John's work can be found in Alexa inside cars, wearables, and the Alexa mobile app.
John studied CS and Math at Stanford (BS, MS), and was a full stack engineer at Graphiq, which was acquired by Amazon. In his life prior to tech industry, John was the Head of Volatility Index Trading at Morgan Stanley.
What You Will Get Out of this Course
Learn to identify AI Opportunities with Real ROI
Learn a repeatable framework for spotting high-impact GenAI use cases—backed by business logic, not hype. Understand how to assess feasibility, cost, and payoff.
Learn how to architect AI agents and AI automation
Gain a systems-level understanding of how to wire up tools, APIs, models, and workflows to create agentic solutions that are robust, not just clever demos.
Prototype Fast Without Overengineering
Build working demos in days—not months—using proven prototyping flows. Learn what to build, what to fake, and what to measure.
Understand Technical Limits and Possibilities
Get clear-eyed guidance on what AI agents can and can't do. Avoid overpromising and learn how to design around known risks and limitations.
Learn Best Practices for Responsible AI Deployment
Learn to address common concerns prior to deploying in production through guardrails, security best practices, and more.
Deliver a Capstone Project Worth Showing Off
Complete a self-directed build with mentorship from instructor that demonstrates your ability to solve a real business problem with AI. Leave with something you can put in front of a client, stakeholder, or investor.
This Course Includes
Guided Capstone Project
Learn to apply your learnings to a real-world problem.
5 live interactive lectures
Weekly live lectures and build-alongs
4 live build along sessions
Hands-on sessions to apply learnings
Direct access to instructor
5 90 minute Office hours and personalized feedback
Lifetime access to course materials
All recordings, code, and resources
Access to source code for all build-alongs
Use them for your own projects or as a starting point
Private community of peers
Network with like-minded professionals
Course certificate upon completion
Showcase your new skills to employers
Course Schedule
This week focuses on understanding the shift to agentic AI systems, mapping business challenges to AI solutions, and identifying high-impact opportunities. You'll learn to apply frameworks for scoping and validating AI projects, ensuring alignment with business goals and maximizing ROI.
Live Lecture (April 23rd, 1PM EST)
Frameworks for Identifying and Prioritizing High-Impact AI Opportunities
Learn the structured mental models and filters to move from chaos and hype to clarity and ROI-backed opportunities.
Optional Office Hours (April 25th, 1PM EST)
Get direct feedback on your early opportunity ideas and direction for your capstone project.