Become an AI Governance Leader: Enterprise Strategy, Risk & Control
Prajesh Jha
Ex-JPMorgan Data Leader | AI Governance
Lead AI Governance: Control Risk, Meet Regulation, Drive Decisions
Most AI courses teach you how to build models. Almost none teach you how to control them once they’re in production—and that’s where careers are being made (or broken).
Today, organizations are deploying AI faster than they can govern it. That creates real risk: regulatory exposure (EU AI Act, model audits), reputational damage from biased or opaque decisions, and financial loss from poorly controlled models. Leaders are under pressure to answer questions like: Who owns this model? How is it monitored? Can we explain it to regulators? Most teams don’t have clear answers.
This program focuses on that gap. You’ll learn how to design and implement practical AI governance frameworks—policies, controls, risk models, and oversight structures that actually work in enterprise environments. Not theory, but how to operationalize governance across the AI lifecycle.
If you’re already working with data or AI, this is the layer that elevates you—from building systems to owning accountability, influencing decisions, and operating at leadership level.
What you’ll learn
Design AI governance, manage risk & compliance—become a trusted enterprise leader
Build governance models aligned to business, risk, and regulatory needs
Define roles, ownership, and decision rights across AI lifecycle
Create policies, standards, and controls for scalable AI oversight
Identify model risks: bias, explainability, drift, and misuse
Map governance to regulations like EU AI Act and internal policies
Implement audit-ready controls and monitoring mechanisms
Embed governance into model development, deployment, and monitoring
Design workflows for approvals, exceptions, and escalation
Use tools, templates, and metrics to enforce governance at scale
Communicate AI risk and strategy to executives and regulators
Drive cross-functional alignment across tech, risk, and business
Position yourself as a trusted advisor in AI decision-making
Transition from technical/analyst role to governance leadership
Identify high-paying roles in AI risk, compliance, and strategy
Develop authority to lead or consult on enterprise AI initiatives
Work on enterprise-style case studies (banking, regulated sectors)
Build a portfolio of frameworks, policies, and governance artifacts
Apply learnings directly to current role or consulting projects
Learn directly from Prajesh
Prajesh Jha
Founder-GravitasETRM | Ex - JPMC | ADNOC, BP, ENI, Centrica, NatWest, Barclays
Who this course is for
Mid–senior data/AI professionals aiming to lead governance, risk & strategy roles
Risk, compliance & audit professionals expanding into AI governance & regulation
Tech leaders & consultants driving enterprise AI adoption with accountability & control
What's included
Live sessions
Learn directly from Prajesh Jha 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
Week 1
Jun
1
01 Foundations of AI Governance
Jun
2
02 GLOBAL REGULATIONS
Jun
3
03 AI RISK MANAGEMENT
Jun
4
04 AI ETHICS
Jun
5
05 DATA GOVERNANCE FOR AI
Week 2
Jun
8
06 MODEL LIFECYCLE GOVERNANCE
Jun
9
07 LLM GOVERNANCE
Jun
10
08 AI SAFETY ENGINEERING
Jun
11
09 AI SECURITY
Jun
12
10 FAIRNESS & BIAS
Schedule
Live sessions
40 hrs
Mon, Jun 1
2:30 PM—4:30 PM (UTC)
Tue, Jun 2
2:30 PM—4:30 PM (UTC)
Wed, Jun 3
2:30 PM—4:30 PM (UTC)