AI for Leaders - From Strategy to Execution
Ram Seshadri
Google AI Architect | Coursera Educator
Cornellius Yudha Wijaya
Senior Data Scientist, AI Engineer
AI Strategy is all about Capital Allocation and gaining a Competitive Advantage.
Most leaders are stuck in the "AI Hype" cycle—reading generic posts and buying hyped up software that doesn't work in reality. This course changes all that - in less time than your next business trip!
At the end of the course, you will learn how to:
"Build Alpha. Buy Beta": To borrow a phrase from Wall Street where I worked for more than a decade, know exactly when you're being sold hyped up software that does not meet reality. Learn to spot where AI creates actual value—and how to capture it for yourself.
Build and Ship Production AI: Move beyond the "Endless PoC" trap. Learn how to architect and ship AI-driven products that actually reach production.
Secure your Org: Build the governance and guardrails that keep your enterprise secure and your data private.
We strip away the buzzwords to deliver 'knowledge from the trenches' you can't find elsewhere—not in books, not on YouTube, and definitely not from AI influencers.
What you’ll learn
We strip away the buzzwords to deliver 'knowledge from the trenches' you can't find elsewhere so you can put them to use delivering real AI.
Learn to distinguish AI hype from reality using the same playbook used by FAANG experts.
Learn to spot value in AI products and how to capture it for yourself and your organization.
You will leave with a strong intuition for where AI excels and where it falls short. Not from reading tea leaves but from handson experience
Escape the "Endless PoC" trap with frameworks that never scale.
Learn the tools used by Big Tech AI architects who build Scalable AI for Fortune 100 giants.
You'll leave with a solid understanding of the agentic tech stack and where to leverage them.
Learn to build and deploy robust Multi-Agent Systems.
Learn to use robust Agentic Governance frameworks to harness your agents and guide their behavior.
You'll leave with a strong appreciation for agent governance complexities from security to compliance and how to manage them.
Ground your AI responses in enterprise data with maximum accuracy. This isn't theory — it's a hands-on course. We build together.
You'll learn to use prompts, skills and workflow to build your first chatbot using Anti Gravity.
You'll use Anti Gravity and GitHub to create, view, and manage your software — then deploy them to the Cloud - just like an AI engineer.
Implement AI governance, security, and compliance roadmaps that executive boards actually approve.
Learn directly from Ram & Cornellius
Ram Seshadri
Staff Google AI Architect | Coursera educator | AutoViz creator | ex-Wall Street
Cornellius Yudha Wijaya
Cornellius is a Data Scientist, AI Engineer, and prolific technical writer.
Who this course is for
Senior leaders (VPs, Executives) tasked with AI roadmaps and must critically evaluate vendors and make million $ "build vs. buy" decisions.
Architects and PMs managing software engineers and product teams who need the technical intuition to ask the right questions about AI.
Founders looking to ship production-grade software by learning what actually works in the current AI stack from experts in the field.
What's included
Live sessions
Learn directly from Ram Seshadri & Cornellius Yudha Wijaya 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.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
Course syllabus
3 live sessions • 3 lessons
Week 1
AI/ML Foundations: Hype vs. Reality
Jun
14
AI / ML Foundations: Hype vs. Reality
Week 2
RAG & Use Cases: Customizing AI to Work With Your Data
Jun
21
RAG & Use Cases: Making AI Work With Your Data
Schedule
Live sessions
3 hrs / week
Live sessions conducted by Course Leaders with Expert Guests as needed.
Sun, Jun 14
2:00 PM—5:00 PM (UTC)
Sun, Jun 21
2:00 PM—5:00 PM (UTC)
Sun, Jun 28
2:00 PM—5:00 PM (UTC)
Projects
1 hr / week
Presenting a Case study: A single instance of AI success *or* expensive failure you have seen in your organization.
Frequently asked questions
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Reimbursement
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USD