课程概览
Priyanka Vergadia
Built & Shipped AI at Google & Microsoft
Covered by the Maven Guarantee
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.
MAP the AI Landscape: AI Foundations & Mental Models
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 Real AI Agents: Prototype With or Without Code
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
BUILD Real AI Agents: Multi-Agent Systems & Automation
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
BUILD Real AI Agents: Evaluate AI Before It Ships
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
LEAD the Change: AI Initiatives That Deliver Impact
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
LEAD the Change: Responsible AI & Governance
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
Ex-Google & Microsoft, Wharton AI faculty, Fortune 500 CEO advisor, TED speaker
I have spent 15 years making the world's most complex tech at Google and Microsoft easy to understand through visual storytelling, and now I help companies do that through my business of advising and consulting.
Along the way, I built and shipped AI products, including launching Gemini Code Assist at Google and leading developer go-to-market for GitHub Copilot at Microsoft.
I teach AI for Business at Wharton, guide Fortune 500 CEOs through AI transformation, and was invited to speak at TED on the human skills that matter most as AI takes over.
My two books, Visualizing Google Cloud and Visualizing Generative AI, are bestsellers, have 350K+ developer community.
My belief is simple: you shouldn't need a computer science degree to understand and lead technology.
Career highlights
Launched AI Products: Like Gemini Code Assist and Vertex AI at Google Cloud.
Led go-to-market for GitHub Copilot at Microsoft , building a forward-deployed engineering team to drive enterprise AI adoption
Advised enterprises on AI transformation with multi-billion-dollar revenue accountability
Grew Google Cloud's YouTube community from 250K to 1M subscribers as Head of Developer Relations and Chief Evangelist, reaching 2M+ views across platforms
Authored 2 bestselling books , Visualizing Google Cloud and Visualizing Generative AI .
TED speaker and Wharton faculty , invited to speak on human skills in the AI era and teaching AI for Business at the world's top business schools
Founder & CEO of The Cloud Girl , advising companies on building brand awareness through developer relations
课程大纲
AI基础及应用方案选择
智能体原型与多步骤工作流
人工介入与自动化边界
上线前质量评估
业务指标成本性能及项目路线
负责任AI和组织伦理政策