Responsible AI Mastery: Govern & Deploy
Aki Wijesundara, PhD
AI Founder | Google AI Accelerator Alum
Manu Jayawardana
AI Advisor | Co-Founder & CEO at Krybe
Turn Responsible AI from theory into a practical, repeatable system
AI systems are moving into high-stakes environments, and teams are being held accountable for fairness, transparency, safety, and compliance. Knowing about Responsible AI isn’t enough anymore — you need the ability to apply it, communicate it, and operationalize it without slowing innovation.
This half-day intensive takes you from awareness to execution. In just a few hours, you’ll build your own Responsible AI Roadmap, map risks across the entire AI lifecycle, and learn how to apply global frameworks like the EU AI Act to real products, clients, and workflows.
You’ll leave with:A ready-to-use Responsible AI Roadmap for your product or organization
Templates for governance, compliance, evaluations, and incident response
Hands-on experience applying frameworks to real scenarios
Confidence to balance accountability with speed — without drowning in theory
This isn’t an ethics lecture. It’s a builder-first, interactive workshop where you’ll design controls, evaluate risks, and create systems you can put to work the same day. If you’re responsible for AI products, teams, or decisions, this morning will transform how you build and ship responsibly.
What you’ll learn
Turn Responsible AI from theory into a practical, working framework - in just one morning.
Identify risks across data, models, deployment, and operations.
Map controls that balance accountability with speed.
Use templates to create a roadmap you can implement immediately.
Translate the EU AI Act into practical steps.
Understand fairness, transparency, accountability, and robustness standards.
Align existing products with global compliance expectations.
Conduct a risk-mapping exercise across the AI lifecycle.
Prioritize high-impact risks using provided templates.
Identify where failures typically occur and how to mitigate them.
Implement fairness metrics, eval loops, and audit logging.
Use red-teaming approaches to stress-test AI behavior.
Set up incident response and privacy practices.
Learn how to add governance without slowing innovation.
Create lightweight processes your team will actually follow.
Communicate Responsible AI decisions clearly to stakeholders.
Use pre-built worksheets for risk, governance, and incident response.
Document Responsible AI decisions professionally.
Package your roadmap to share with leaders, clients, or regulators.
Who this course is for
Product & Engineering Leaders
Build responsible, compliant AI systems while keeping innovation fast and efficient.
Consultants & Data Scientists
Help clients align with global frameworks like EU AI Act.
Founders & Innovators
Create AI products that are ethical, transparent, and built for long-term trust.
Prerequisites
• Basic familiarity with AI workflows — no coding required.
Helps you follow examples easily and apply responsible AI concepts to the workflows you already use.
• Curiosity to explore how governance meets innovation.
Ensures you get the most value by connecting governance principles with real, practical AI building.
What's included
Live sessions
Learn directly from Aki Wijesundara, PhD & Manu Jayawardana in a real-time, interactive format.
Lifetime access
Downloadable resources and templates
Community of peers
Cohort community of Responsible AI builders
Certificate of completion
Certificate of completion for LinkedIn or employers
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
Syllabus
Week 1
Module 1: Why Responsible AI Matters
Module 2: Principles & Frameworks
Module 3: Risk Mapping Exercise
Module 4: Tools & Controls
Module 5: Build Your Roadmap + Showcase
Jan
20
Live Session
Schedule
Live sessions
4 hrs
A fast-paced, guided workshop where you’ll map risks, apply global frameworks, design governance controls, and build your Responsible AI Roadmap step-by-step with instructor support. This is the core of the experience — hands-on, practical, and interactive.
Tue, Jan 20
8:00 PM—11:30 PM (UTC)
Projects
1 hr
You’ll complete a focused project: finalizing your Responsible AI Roadmap, refining your risk assessment, and preparing governance templates you can apply immediately in your team or organization.
Async content
1 hr
Optional follow-up materials including reference guides, templates, and example governance artifacts to help you continue applying Responsible AI practices after the session.
Success stories
- 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 - 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 - 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
Who You'll Be Learning From
Learn from Aki & Manu. Previous students are from top companies like Google, Meta & OpenAI.
Here’s what our cohort members are saying
Frequently asked questions
$349
USD