Responsible AI - A Hands-On Approach
4 Weeks
·Cohort-based Course
AI is a double-edged sword—learn to build trustworthy, fair, safe and secure AI systems while balancing innovation with accountability.
Responsible AI - A Hands-On Approach
4 Weeks
·Cohort-based Course
AI is a double-edged sword—learn to build trustworthy, fair, safe and secure AI systems while balancing innovation with accountability.
Previously worked / taught at
Course overview
You’ll become a Responsible AI champion—able to build, evaluate and advocate
- Ability to clearly communicate Responsible AI principles to both internal and external stakeholders
- Understand Evaluation Metrics and Frameworks
- Gain hands-on experience with practical tools and frameworks to build Responsible Gen AI applications
Who is this course for
01
Gen AI Practitioners who want to understand and apply Responsible AI principles in real-world systems
02
Product and Engineering Managers who want to drive innovation while embedding Responsible AI
03
Security, Risk, and Compliance professionals or advisors helping organizations manage risks and adopt Responsible AI in Gen.AI systems
What you’ll get out of this course
Understand and apply Responsible AI principles specifically tailored to Generative AI systems.
Identify and use evaluation metrics to assess alignment with key Responsible AI principles (e.g., hallucinations, fairness, bias, safety)
Gain hands-on experience with industry-standard tools and frameworks(such as NIST RMF) to build Responsible AI applications.
This course includes
9 interactive live sessions
Lifetime access to course materials
24 in-depth lessons
Direct access to instructor
Projects to apply learnings
Guided feedback & reflection
Private community of peers
Course certificate upon completion
Maven Satisfaction Guarantee
This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.
Responsible AI - A Hands-On Approach
Course syllabus
Week 1
Jun
5
Foundations of Responsible AI
Jun
7
Reliability and Hallucinations
Foundations of Responsible AI
Reliability and Hallucinations
Week 2
Jun
12
Fairness and Bias
Jun
14
Transparency, Explainability and Interpretability
Fairness and Bias
Transparency, Explainability and Interpretability
Week 3
Jun
19
Robustness and Safety
Jun
21
Security and Privacy
Robustness and Safety
Security and Privacy
Week 4
Jun
26
Accountability and Governance
Jun
28
Case Studies & Guest Speaker
Accountability and Governance
Case Studies & Guest Speaker
Meet your instructor
Bhaskarjit Sarmah
Recognized as a Top 5 Gen AI Leader in India
- 10+ years of corporate experience in AI and Machine Learning. Have led AI teams at BlackRock.
- Top 5 Gen AI Leader (India) award recipient and also received NASSCOM AI Game Changer Award
- Passionate educator, having taught ~12,000 learners across both online and offline platforms including institutes like MIT, NYU, JHU etc.
- Research interests: Responsible AI and Generative AI
Babul Kamireddy
- 20 years of my career has mirrored the industry analytics maturity evolving from Business Intelligence to Artificial Intelligence, including Generative AI and Trustworthy/Responsible AI.
- As a director at a large regulatory body in US, I have led and implemented many AI and Data analytics programs to bring efficiencies into their regulatory operations.
- I am a technologist and a storyteller who communicates complex concepts in plain English.
Join an upcoming cohort
Responsible AI - A Hands-On Approach
Cohort 1
$700
Dates
Payment Deadline
Course schedule
4-6 hours per week
Wednesday
9 PM - 11 PM EST
Saturday
11: AM - 1 PM EST
Learning is better with cohorts
Active hands-on learning
This course builds on live workshops and hands-on projects
Interactive
You’ll be interacting with other learners
Learn with a cohort of peers
Join a community of like-minded people who want to learn and grow alongside you
Frequently Asked Questions
Join an upcoming cohort
Responsible AI - A Hands-On Approach
Cohort 1
$700
Dates
Payment Deadline