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This isn't a training about AI governance theory. It's a course about DOING AI governance. Here's what you'll be able TO DO not just KNOW

AI Governance Advisor & Ph.D. Scholar

ISACA

Centene

Cyber Pros Training

Trenton Health Team

Western Governors University

Francois B. Arthanas

AI Governance Advisor & Ph.D. Scholar (CISSP, CISA, AAIA) | Founder, Cyber Pros 

Becoming an AI Governance, Risk & Compliance (AI GRC) Practitioner

Cohort 1

Every company is deploying AI. Almost nobody is governing it.Organizations are plugging AI into hiring, lending, healthcare, and fraud detection with zero governance frameworks in place. No risk assessments. No audit trails. No compliance programs. Nothing.And regulators have noticed.The EU AI Act is live. Penalties hit €35 million or 7% of global revenue. Every major jurisdiction is building enforcement and most organizations don't have a single person who can stand up an AI governance program.Here's what nobody in cyber wants to say out loud: the traditional GRC job market is crowded, the certifications are commoditized, and the salaries have plateaued.AI governance is the opposite. The demand is exploding. The talent pool is nearly empty. And the professionals who build real expertise now with real frameworks, real projects, and real proof won't just enter this field. They'll define it.This program is how you do it in 8 weeks. You will master NIST AI RMF, ISO 42001, &amp; the EU AI Act. You'll build 15+ portfolio-ready deliverables. And you'll walk out with the one thing no certificate gives you: proof you can do the job before you ever get the job.No deep tech background required.

Get hired in AI Governance. Build the portfolio that proves you can do the job. 

Lead Enterprise AI Governance Program Design

Conduct AI Risk Assessments Using NIST AI RMF

Design ISO 42001-Aligned AI Management Systems

Navigate EU AI Act Compliance for High-Risk Systems

Plan, Execute AI System Audits & Report AI Risk to Executive Leadership

Design Multi-Layered AI Control Frameworks & Manage Third-Party AI Vendor Risk

You do not need:

Coding skills, 

Machine learning experience, 

Advanced cybersecurity background

There are NO technical prerequisites

Basic familiarity with GRC concepts risk management, internal controls, compliance frameworks, audit fundamentals

You should have

Career switchers who want lower technical barriers cyber career that is very in demand

GRC Professional who knows AI governance is the future of their career and are ready to stop reading about it and start doing it

IT auditor, risk, compliance, privacy, legal, consultant &amp; security professionals who want influence, stability, and relevance in the AI era

Not just AIGP Certification Mastery, but your path to becoming an AI Governance Practitioner

Ace AIGP - AI Governance Professional (IAPP) Certification and Launch Your AI Governance Career

Jan Cohort

March Cohort

AI Governance Practitioner, Ex-Stanford 

Niharika Srivastav

AIGP, Certified AI Governance Practitioner

Chief AI Officer, CISSP,Author, Harvard 

Sanjay Saxena

Chief AI Officer, Ex-Harvard, Deloitte, KPMG

Level Up Your Career with In-Demand AI Governance Skiils/ Launch Your AI Governance Career

Feb Cohort

March 31 - May 3

Turn AI Governance Into Your Competitive Advantage!For group discount for your employees, reach out to us directly. As AI adoption accelerates globally, organizations face mounting risks around ethics, compliance, bias, security, and accountability. Without proper governance, AI systems can cause reputational damage, legal liability, and erosion of trust. Hence, organizations urgently need qualified AI governance professionals.This is an INCREDIBLE opportunity! Position yourself at the forefront of this high-demand field by mastering AI governance and earning your AIGP certification (by IAPP - International Association of Privacy Professionals) .✅ No prior AI knowledge required, we'll cover that! ✅ No coding skills required at all. Period.What Makes Our 4-Week Program Stand Out:✓ Visual and Engaging Learning✓ Complex Legal Frameworks and Technical Concepts Super Simplified✓ Real Projects and Real Deliverables✓ Live Lessons and Repeats of Live Lessons to Accommodate Different Time Zones✓ Office Hours✓ Unlimited Retakes of the Bootcamp ✓ 1:1 Guidance for Your Challenges Ready to future-proof your career? Join us and become the AI Governance expert the world is looking for.

Become an AI Governance Professional + Ace the AIGP Certification Exam. 

Necessary AI Knowledge 

Why AI Governance?

Laws, Regulations, and Standards -  Simplified

AI Development Governance (You are not going to code)

Deployment and Monitoring

Master Organizational AI Governance 

Unlock AI innovation without compromising reputation, security or regulatory compliance.

This course is for you if want to:

Anybody who wants to ride the AI wave (No prior knowledge of AI required)

Product &amp; Project Managers/Directors, IT &amp; Business Professionals, Consultants

Legal Teams, Security and Privacy Professionals

Translate the NIST AI RMF into scalable AIMS. Shift from managing risky pilots to driving governed, enterprise-scale AI product velocity.

Principal AI Strategist, ISO 42001 AIMS

The Home Depot

WCTC

Northwestern Mutual

Omnicom Media

SC Johnson

Eric Dabols

AI Product Leader driving governed, enterprise-scale ML infrastructure.

Q2 2026 Enterprise Sprint: AIMS & NIST AI RMF

<blockquote>Most enterprise AI initiatives stall in the pilot phase. As product leaders, we are frequently handed raw ML capabilities and expected to drive immediate business value. However, without a structured governance framework, moving from a localized proof-of-concept to a fully integrated production environment creates a massive bottleneck. You aren't just shipping features; you are managing complex regulatory exposure, cross-functional friction, and system interdependencies.This course cuts through the theoretical noise. We will translate the static NIST AI RMF into a living, operational AI Management System (AIMS). I will share the blueprints and rigorous ISO/IEC 42001 certified protocols required to govern product velocity at an enterprise scale. These are the same frameworks utilized to safely migrate 158 legacy models to Vertex AI via a custom enterprise deep learning engine, ultimately delivering a +29% incremental lift.You will leave this 1-day sprint with the operational templates to prioritize Strategy &amp; Alignment, Discovery &amp; Validation, and Responsible Usage Governance. We will shift your posture from reactive compliance to proactive execution.</blockquote>

Turn the NIST AI RMF into scalable product infrastructure

Operationalize the NIST AI RMF Core Functions

Architect for Compliance Velocity

Implement Discovery and Validation Protocols

Establish Responsible Usage Governance

Product Managers &amp; AI Strategists: You own the roadmap and need to bridge raw ML capabilities with governed, enterprise-scale execution.

AI Data Specialists &amp; ML Architects: You build the models but need robust AIMS infrastructure to safely deploy them into production.

AI Governance &amp; Risk Leaders: You must translate static regulatory frameworks into agile protocols that accelerate product deployment.

Empower your team with real advice and hands-on skills to build privacy into today's AI workflows and systems. 

Author of Practical Data Privacy

Katharine Jarmul

Author of Practical Data Privacy, Specialist in AI/ML Systems

Ensure your AI platforms and products are ethically sound and legally compliant. This intensive course equips you with the essential skills for modern AI privacy engineering, offering a blend of cutting-edge best practices and practical implementation strategies. Through live sessions, collaborative design workshops, and a capstone project simulating a real-world challenge, you'll gain expertise in defining privacy, assessing and mitigating risks, implementing pseudonymization and input sanitization, and integrating guardrails into AI workflows. This course is designed for mid-career and senior-level software engineers, data engineers, machine learning engineers, and privacy professionals seeking to enhance their expertise in a rapidly evolving field. Participants will work collaboratively in multidisciplinary teams, mastering not only technical skills but also crucial concepts in architecture, risk assessment, and mitigation prioritization. With the increasing use of sensitive data in AI products, these skills are in-demand and future-proof.

Build Privacy Engineering into AI/ML Systems

Identify actionable privacy risks in AI systems

Evaluate and implement reasonable controls

Architect privacy in AI workflows

Evaluate and test systems with a focus on privacy

You should be familiar with Python and able to use normal Python data libraries. You are willing to adapt code and build out AI workflows.

Data, Software and Machine Learning Engineers (Target Audience)

You have technical chops and either want to expand them or integrate them into your work with AI/ML systems

Privacy Professionals

You are comfortable in technical conversations and want to increase your knowledge of AI privacy risk.

Privacy and Risk Leadership

Data, Software and Machine Learning Engineers

Technical Privacy Professionals (Privacy Engineers)

Privacy Leadership (technical-oriented)

Learn how to uncover AI vulnerabilities, run real attacks, and apply defenses that secure systems in production.

AI Governance & Cybersecurity Researcher

Krystal Jackson

AI Standards Development Researcher

Ran the 1st AI Red Teaming CTF w/ OpenAI

Sander Schulhoff

AI researcher. Founder of Learn Prompting. AI security expert.

Cohort 6

Cohort 7

The #1 AI Red Teaming Course. Taught by <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.hackaprompt.com/">HackAPrompt</a>, creators of the 1st AI Red Teaming CompetitionPrompt injection attacks are the #1 security vulnerability in AI systems. HackAPrompt's research helped OpenAI increase their model's resistance to prompt injections by up to 46%. Our recent research with OpenAI, Anthropic, and Google DeepMind found humans outperform automated AI Red Teaming.That's why companies need trained AI Red Teamers, and why we built this course.Using HackAPrompt, you'll gain hands-on experience identifying prompt injections, jailbreaks, and adversarial attacks – learning to break AI systems and secure them.Plus, access recorded hacking sessions with top AI Red Teamers who share their favorite techniques, including:<ul><li>Pliny the Prompter – World's most renowned AI jailbreaker</li><li>Johann Rehberger – Built Microsoft Azure Red Teams</li><li>Richard Lundeen – Microsoft AI Red Team Lead</li><li>Valen T. – 1st in Anthropic's Red Teaming competition</li><li>&amp; more!</li></ul>The training prepares you for our <a target="_blank" rel="noopener noreferrer nofollow" href="https://learnprompting.org/certificates/ai-red-teaming-professional-certification">AIRTP+ certification exam</a>, which has certified 100's from Microsoft, Google, Capital One, IBM, ServiceNow, and Walmart.For enterprise training: <a target="_blank" rel="noopener noreferrer nofollow" class="underline underline underline-offset-2 decoration-1 decoration-current/40 hover:decoration-current focus:decoration-current" href="mailto:team@learnprompting.org">team@learnprompting.org</a>

Your AI Systems Are Vulnerable... Learn how to Secure Them!

Understand How AI Systems Fail

Build Core Red Teaming Skills

Design Practical and Effective AI Defenses

Secure AI Systems Through Real-World Projects

Security, trust, and safety professionals who need practical ways to evaluate AI risks, run red team tests, and improve system reliability.

PMs and product leads who want to understand AI vulnerabilities and make informed decisions about safety, risk, and system behavior.

Engineers and technical ICs who want practical skills to test AI behavior, uncover weaknesses, and build more secure AI features.

Master AI & LLM security through CTF-style cohort, tackling real-world attacks, defenses, adversarial threats, and Responsible AI principles

Hands-On AI Attack & Defense Cohort.

Abhinav Singh

International Trainer & Speaker, security researcher & consultant.

Cohort 5

Can prompt injections lead to complete infrastructure takeovers? Could AI applications be exploited to compromise backend services? Can data poisoning in AI copilots impact a company's stock? Can jailbreaks create false crisis alerts in security systems? This immersive, CTF-styled cohort in GenAI and LLM security dives into these pressing questions.Engage in realistic attack and defense scenarios focused on real-world threats, from prompt injection and remote code execution to backend compromise. Tackle hands-on challenges with actual AI applications to understand vulnerabilities and develop robust defenses. You’ll learn how to create a comprehensive security pipeline, mastering AI red and blue team strategies, building resilient defenses for LLMs, and handling incident response for AI-based threats. Additionally, implement a Responsible AI (RAI) program to enforce ethical AI standards across enterprise services, fortifying your organization’s AI security foundation.

Live, hands-on, CTF-style

Understand Injection Attacks and Jailbreaks on AI systems

Perform structured AI red teaming using industry frameworks

Execute and defend against adversarial & multi-agent attacks

Build and deploy LLM security tooling and enterprise-grade defenses

Operationalize AI SecOps, threat modeling, and incident response

CISOs &amp; Security practitioners looking to implement AI security best practices.

Security professionals seeking to update their skills for the AI era.

AI Fundamentals

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AI Fundamentals

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