11 people enrolled last week.
You've evaluated, approved, and strategized AI. You've built bits and pieces. You haven't built systematically. Your team experiments with prompts; nobody ships repeatable workflows. You don't have a method for turning your highest-value work into systems that run on their own. The builders are pulling ahead — and the gap widens by the quarter.
In 4 weeks, you'll:
✅ Apply a proven 7-step lifecycle to build, ship, and manage any AI workflow
✅ Shift from chatting to building — manage AI building blocks as files you own
✅ Build a portfolio of evaluated agent skills that capture your expertise and run anywhere
✅ Ship deterministic and guided AI workflows that drive real business impact
✅ Build single and multi-agent autonomous systems for your highest-value work
✅ Run a living AI Registry that makes your portfolio discoverable and sustainable
This isn't theory — it's a hands-on builder methodology from training 5,000+ leaders at UC Berkeley and a decade at Microsoft. Rated 4.8/5. Intimate cohorts, 1:1 coaching, lifetime access. We build together — not lectures.
The course focuses on concepts and frameworks that can be applied to multiple AI platforms - OpenAI, Claude, Gemini, and M365.
Turn AI into your competitive advantage—automate, optimize, and lead smarter with agentic workflows.
Audit your recurring work to surface high-value workflow candidates — the ones where AI moves the business.
Take any workflow through analyze, deconstruct, design, build, test, run, improve — to ship it reliably.
You'll leave with a proven, repeatable methodology you can apply to every workflow you build — long after the cohort ends.
Save every skill, prompt, agent, and context file you build to a local + GitHub knowledge base — version-controlled and portable.
Use AI code editors and GitHub to build, view, and manage your assets — then deploy them across every AI platform you work in.
You'll leave with an organized AI knowledge base — and the builder mindset to keep growing it long after the cohort ends.
Package your repeatable expertise — research, writing, analysis, decisions — as agent skills any AI can execute consistently.
Evaluate skill robustness with test cases, pass rates, and blind A/B comparisons — refine with data, not intuition.
You'll leave with a portfolio of evaluated skills running across Claude, ChatGPT, and any platform that supports agent skills.
Build deterministic workflows with fixed rules and evaluation criteria so AI executes consistently without guesswork.
Design collaborative workflows with human review checkpoints to maintain quality control on high-stakes work.
You'll leave with at least two production workflows — one deterministic, one collaborative — powered by your Agent Skills.
Build single-agent workflows on Claude, ChatGPT, M365 Copilot, and Google Gemini Enterprise to automate your highest-value use cases.
Orchestrate multi-agent systems where specialized agents collaborate — handling complex, multi-step workflows end-to-end.
You'll leave with production autonomous systems so you can shift from doing the work to designing systems that do it for you.
Register every workflow in your AI Registry — capturing the unique knowledge and nuances of how your business runs.
Track skills, prompts, agents, and context as first-class assets — discoverable, reusable, and linked to the workflows they power.
You'll leave with an AI Registry in Notion that turns your workflow portfolio into a sustainable, governable system.

UC Berkeley AI Instructor | Former CIO/CPO | Trained 5,000+ Leaders
Leaders and professionals who believe in “learning by doing” by using cutting-edge tools and building AI solutions hands-on.
Leaders who must understand the latest AI capabilities to drive an AI-powered business strategy credibly.
Professionals who must boost their AI technology acumen to strengthen collaboration and influence with technical stakeholders.
The course extensively utilizes AI assistants, such as ChatGPT, Claude, and Gemini. Some lessons are unique to these tools.
The course does not require coding experience, but we will use AI code editors (Cursor/VS Code) to build and refine prompts
This cohort experience is for people who learn best in small groups and value personalized feedback from an experienced instructor.

Live sessions
Learn directly from James Gray in a real-time, interactive format.
Personalized 1:1 coaching
When you are stuck or want to go deep on your unique use case, book a 1:1 slot at a time that works for your busy schedule
Lifetime access
Go back to course content and recordings whenever you need to. The content is updated monthly.
Private LinkedIn Group
The learning continues after the course with bi-weekly live sessions to share the latest AI tech and ways to create business value.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
26 live sessions • 47 lessons • 11 projects
May
5
Optional: Session 1 Americas & Europe Meet and Greet
May
5
Agentic AI Session 1 - Americas & Europe
May
5
Optional: Session 1 Americas & Asia-Pacific Meet & Greet
May
5
Agentic AI Session 1 - Americas & Asia-Pacific
May
6
Optional: Agentic AI Live Q&A - Americas & Europe
May
6
Optional: Agentic AI Live Q&A - Americas & Asia-Pacific
May
7
Agentic AI Session 2 - Americas & Europe
May
7
Agentic AI Session 2 - Americas & Asia-Pacific
May
12
Agentic AI Session 3 - Americas & Europe
May
12
Agentic AI Session 3 - Americas & Asia-Pacific
May
14
Agentic AI Session 4 - Americas & Europe
May
14
Agentic AI Session 4 - Americas & Asia-Pacific
May
13
Optional: Agentic AI Live Q&A - Americas & Europe
May
13
Optional: Agentic AI Live Q&A - Americas & Asia-Pacific
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Gain foundational knowledge of agentic systems and their applications in automating tasks and business processes.
Learn the process of designing, building, and deploying simple AI agents using no-code and pro-code approaches.
Observe a real-time walkthrough of building and deploying a multi-agent system.
Live sessions
4-6 hrs / week
4 hours of live instruction + assignments to apply AI to your use cases
Tue, May 5
12:45 PM—1:00 PM (UTC)
Tue, May 5
1:00 PM—3:00 PM (UTC)
Tue, May 5
9:45 PM—10:00 PM (UTC)
Projects
1 hr / week
Assignments are additional practice to complement the live session's hands-on exercises
Async content
1-2 hrs / week
optional for additional study and tech setup

Istvan Borbino, PhD

Sarah Payne

James Cameron

Corina Richter

Lauren Taylor