Agentic AI Bootcamp for Builders & Leaders: Map, Build, Lead AI Agents

4.8 (22)

Priyanka Vergadia

Built & Shipped AI at Google & Microsoft

This course is popular

13 people enrolled last week.

Become the AI builder & leader your company trusts.

Code: EARLYBIRD for 30% off Discount Questions? Book 1:1

There are endless AI tutorials and new tools every week, but no clear map to start. And now your company expects you to build AI Agents and lead AI projects.

If you've been ask to build AI Agents without a map, you're not alone. I've watched very smart professionals get stuck in tutorial loops, watching and never building, worried everyone else has figured it out. Learning the most important skill of your career shouldn't feel like drinking from a firehose.

"You don't need more content. You need a structured path."

I've spent 15 years building and launching AI products at Google and Microsoft, and I teach AI at Wharton Business School. This bootcamp is the structured path I give the builders and leaders I advise:

In 5 weeks, you'll go from lost in AI noise to the AI builder and leader your company trusts, with real multi-agent system to show for it.

Map the AI landscape: the mental model that turns AI noise into clear decisions.
Build real agents: Get hands-on exposure to building AI Agents. Build working multi-agent system, with or without code.
Lead: AI ROI case, decision framework, governance and ethics policy your org needs.

What you’ll learn

MAP the AI landscape, BUILD real AI agents, LEAD the change. Become the AI builder and leader your company trusts. With or without code.

Explain generative AI, classical ML, and traditional software in plain business language
Make the RAG vs. fine-tune vs. agents call with a decision matrix you keep forever
Turn AI noise into a clear map of where AI creates value in your work

Build working AI applications with code and no-code exercises
Prototype fast with AI coding assistants and no-code platforms
Deploy your first production AI system using a 4-step framework tech companies use

Design and ship a multi-agent system you can show your team
Build human-in-the-loop workflows for high-volume, multi-step business processes
Know when to automate, and when to keep a human in control

Learn why traditional testing fails for AI agents, and what works instead
Evaluate and validate AI apps before they reach your organization
Ship agents your stakeholders can trust, with quality checks built in

Define ROI and success metrics tied to real business outcomes
Win buy-in with cost-vs-performance framing for any stakeholder
Manage AI like a product, with roadmaps, MVPs, and phased rollouts

Deploy AI with fairness, transparency, and trust built in
Design an AI ethics policy your organization can actually implement
Become the voice your company trusts on AI risk and responsibility

Learn directly from Priyanka

Priyanka Vergadia

Contact

Ex-Google & Microsoft, Wharton AI faculty, Fortune 500 CEO advisor, TED speaker

Previously at

See all products from Priyanka

Who this course is for

Senior ICs and managers, technical or not, who've been handed AI work and need to build and lead it, not just approve it
Professionals moving into AI roles who want real agents to show and a certification that proves they can do the work
Founders and leaders building AI teams who need to know what good AI work looks like, hire for it, and lead it with confidence

What's included

Live sessions

Learn directly from Priyanka Vergadia in a real-time, interactive format.

Lifetime access

Go back to course content and recordings whenever you need to.

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.

Students and folks in countries outside US and UK

Get in touch for specific discounts for you contact@thecloudgirl.dev

Maven Guarantee

Your purchase is backed by the Maven Guarantee.

Course syllabus

9 live sessions • 32 lessons • 17 projects

Week 1

Nov 30—Dec 6

AI foundations and Mental Models

15 items

Weekly Project

4 items

Dec

Office Hours Optional

Sat 12/56:30 PM—7:30 PM (UTC)

Optional

Dec

Session 1: AI Prompting Best Practices 2026

Fri 12/46:00 PM—8:00 PM (UTC)

Week 2

Dec 7—Dec 13

Dec

Session 2: AI Use Cases

Fri 12/116:00 PM—8:00 PM (UTC)

Lead AI initiatives that lead Measurable Business Impact

8 items

Weekly Project

4 items

Dec

Office Hours Optional

Sat 12/126:30 PM—7:30 PM (UTC)

Optional

Free resources

Schedule

Live sessions

2-4 hrs / week

1 live session with me 2 hours and 1 office hour 1 hour

Fri, Dec 4
6:00 PM—8:00 PM (UTC)
Sat, Dec 5
6:30 PM—7:30 PM (UTC)
Fri, Dec 11
6:00 PM—8:00 PM (UTC)

Projects

1 hr / week

Async content

2 hrs / week

Testimonials

Priyanka has a remarkable ability to break down highly complex AI concepts and communicate them simply and clearly. As a visual learner, I found her teaching style incredibly effective, making abstract ideas easy to grasp and apply. If you are just starting out your journey in AI, I highly recommend this 5-week course to build real-world applications and gain practical confidence.
Jayna
Data Consultant
There is lot of free information around gen AI on internet which we can go through this course differentiates from other learning platform in various ways first is how to learn GenAI as it gave me understanding of basics which I think now is the correct way to learn it. Secondly it gave me hands on various concepts which we learn theoretically but never act on them. Thirdly I learnt a lot from other peers on the cohort which are working in different areas sharing new perspectives and finally Priyanka and Abhishek were always very helpful, very responsive and genuinely wanted to help us to learn. Overall, highly recommended and make the community strong and help each other navigate AI era together.
Mayank
Technical Architect
This course was very helpful to learn AI agents basics as well as build an AI Application using those learnings. Some of the additional topics covered about AI Ethics and Product Management were also very useful. I would certainly recommend this course to my colleagues!
Vaibahv
Product Manager