AI GovernanceAdvanced

Responsible AI Mastery: Govern & Deploy

Turn Responsible AI from theory into a practical, repeatable system

7 hours
10 lessons
Certificate of completion
5,000+ professionals taught

Previous students from Google · Meta · Oracle · OpenAI · McKinsey · BCG

Course Details

DurationHalf-day (3.5 hours)
FormatLive workshop
LevelAdvanced
InstructorAki W., PhD

What you'll learn in Responsible AI Mastery: Govern & Deploy

Build a complete Responsible AI Roadmap for your product or organization
Apply global Responsible AI frameworks including the EU AI Act
Evaluate AI risks using structured governance tools across the AI lifecycle
Design controls and safeguards that make AI systems safer without slowing innovation
Implement fairness metrics, eval loops, and audit logging
Leave with ready-to-use templates for governance, compliance, and audits

What you'll leave with

  • 1A ready-to-use Responsible AI Roadmap
  • 2Templates for governance, compliance, evaluations, and incident response
  • 3Hands-on experience applying frameworks to real scenarios
  • 4Certificate of completion for LinkedIn

Course Curriculum

Week 1 (1-day intensive)

Full Responsible AI Workshop

  • Module 1: Why Responsible AI Matters
  • Module 2: Principles & Frameworks (EU AI Act)
  • Module 3: Risk Mapping Exercise
  • Module 4: Tools & Controls (fairness metrics, eval loops, audit logging)
  • Module 5: Build Your Roadmap + Showcase

Who Responsible AI Mastery: Govern & Deploy is designed for

Product & Engineering Leaders building responsible, compliant AI systems
Consultants & Data Scientists helping clients align with global frameworks like EU AI Act
Founders & Innovators creating AI products that are ethical and transparent

Prerequisites

Basic familiarity with AI workflows — no coding required
Curiosity to explore how governance meets innovation

Your Instructors

A

Aki Wijesundara, PhD

AI Founder | Educator | Google AI Accelerator Alum

Aki Wijesundara is an AI leader with a PhD in Machine Learning and extensive experience mentoring startups at Google's AI Accelerator. With a career spanning both research and applied AI, Aki has taught 5,000+ students worldwide how to design and deploy production-ready AI systems. He has worked across cutting-edge areas of applied AI, from LangChain and RAG pipelines to observability and large-scale deployment. As a researcher and educator, Aki bridges the gap between theory and practice, making complex systems approachable and actionable for engineers, founders, and product leaders.

Ex–Google AI Accelerator researcher focused on responsible AI and applied ML
PhD in AI & Cognitive Systems with published research across top universities
Former researcher with teams affiliated with MIT, University of Oxford, & King's College London
Co-founder of Snapdrum — delivered AI systems for finance, education, and healthcare
Built and deployed AI product pipelines used by PMs, startups, and enterprise teams
Instructor for multiple AI builder programs, helping 500+ professionals ship AI features fast
M

Manu Jayawardana

Exited AI Founder | Co-Founder, Snapdrum | Co-Founder & CEO, Krybe

Manu Jayawardana is a serial entrepreneur with multiple AI startup successes. He exited Rise AI, a fintech app with over 35,000 users, to a private investor. He co-founded Snapdrum, delivering enterprise AI systems and scaling paid acquisition engines that drove 5,000+ premium customers. He is also Co-Founder & CEO of Krybe, a London-based Voice AI startup serving 1,000+ users and part of the NVIDIA Inception ecosystem. With a background in quant finance and AI engineering, he operates at the intersection of AI, distribution, and execution.

Co-Founder of Snapdrum — builds production-ready AI systems for Fortune 500s, YC startups, and global Series A–C companies
Exited Founder of Rise AI — created an AI investment copilot used by 35,000+ users worldwide
Co-Founder of Krybe — ultra-realistic voice AI platform with 1,000+ users and part of the NVIDIA Inception Program
Creator of the #1 ranked Investment GPT on the OpenAI Store with 30,000+ users
Built and scaled 10+ companies across AI, SaaS, analytics, and EdTech
Former Entrepreneur First Unlock Fellow, selected for high-potential AI founders

What Students Say

The AI training approach is outstanding. Our team learned to build practical AI solutions that we could implement immediately in our educational platform. The hands-on methodology made complex AI concepts accessible to our entire development team.

Kavi T.

CEO of Tilli Kids / Stanford PhD

I sent my team through this training for upskilling, and the results have been remarkable. Within weeks, they became much more efficient at building automations and deploying AI agents at work. This program bridges the gap between theory and practice and it's had a real impact on our productivity.

Aamir Faaiz

CEO of Bayseian

Not only are the instructors experts in their field, they're incredibly skilled at breaking down complicated AI concepts so students can grasp them quickly. Anyone interested in building foundational AI knowledge should take this training - it's worth the investment.

Dr. Elizabeth Creighton

Founder & Principal at Brazen

The instructors help break down AI model development and clearly have plenty of experience to help others learn about complex concepts like infrastructure setup. The practical approach to NLP and LLM applications was exactly what our team needed.

Alissa Valentine

NLP & LLM Real World Data Scientist

Frequently Asked Questions about Responsible AI Mastery: Govern & Deploy

What will I learn in Responsible AI Mastery: Govern & Deploy?

Build a complete Responsible AI Roadmap for your product or organization. Apply global Responsible AI frameworks including the EU AI Act. Evaluate AI risks using structured governance tools across the AI lifecycle. Design controls and safeguards that make AI systems safer without slowing innovation. Implement fairness metrics, eval loops, and audit logging. Leave with ready-to-use templates for governance, compliance, and audits

Who is Responsible AI Mastery: Govern & Deploy designed for?

Product & Engineering Leaders building responsible, compliant AI systems. Consultants & Data Scientists helping clients align with global frameworks like EU AI Act. Founders & Innovators creating AI products that are ethical and transparent

What are the prerequisites for Responsible AI Mastery: Govern & Deploy?

Basic familiarity with AI workflows — no coding required. Curiosity to explore how governance meets innovation

How long does Responsible AI Mastery: Govern & Deploy take?

Half-day (3.5 hours). Format: Live workshop.

What will I leave with after completing Responsible AI Mastery: Govern & Deploy?

A ready-to-use Responsible AI Roadmap. Templates for governance, compliance, evaluations, and incident response. Hands-on experience applying frameworks to real scenarios. Certificate of completion for LinkedIn

Is Responsible AI Mastery: Govern & Deploy available online?

Yes, Responsible AI Mastery: Govern & Deploy is delivered entirely online as a live workshop.

Who teaches Responsible AI Mastery: Govern & Deploy?

Aki Wijesundara, PhD — AI Founder | Educator | Google AI Accelerator Alum. Manu Jayawardana — Exited AI Founder | Co-Founder, Snapdrum | Co-Founder & CEO, Krybe

How do I enroll in Responsible AI Mastery: Govern & Deploy?

You can enroll via Maven at https://maven.com/theaiinternship/responsible-ai-mastery. Click the "Enroll on Maven" button on this page.

Topics covered

responsible AIAI governanceEU AI ActAI ethicsAI compliancefairness AIAI safetyAI risk management

Corporate Training & Team Upskilling

Train your entire team on Responsible AI Mastery: Govern & Deploy. We offer corporate group training, custom cohorts, and enterprise licensing. Trusted by teams at Google, Meta, Oracle, and more.