★★★★★

(2,095 ratings) 50,000+ Student

AI GOVERNANCE & AI COMPLIANCE

The AI Governance & AI Compliance course is designed to help professionals understand how artificial intelligence systems can be developed, deployed, and managed responsibly within regulatory and ethical guidelines. The training covers AI governance frameworks, risk management, data privacy, compliance requirements, ethical AI practices, model transparency, and regulatory standards. Through practical examples and real-world scenarios, learners gain insights into building trustworthy and compliant AI solutions. As AI adoption continues to grow across industries, this course is ideal for compliance professionals, risk managers, AI practitioners, business leaders, data governance teams, and IT professionals involved in AI strategy and implementation.

Radical Technologies

50,000+ English 40 hours Weekdays / Weekends Classroom / Online / Corporate

Online / Classroom

IT Training Programme

Duration 40 hours

Batch Type Weekdays / Weekends

Mode of Training Classroom / Online / Corporate

Locations Pune, Bangalore, Kochi

Language English

Certification Globally Recognized

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100% placement assistance

What you'll learn

Understand core concepts and architecture from the ground up

Get hands-on with the tools used by working professionals

Build real-world projects you can add to your portfolio

Learn industry best practices and coding standards

Practice with real datasets and real-world scenarios

Prepare for certification and technical interviews

Work on collaborative, team-based exercises

Apply performance tuning and optimization techniques

Understand how the technology fits into a larger ecosystem

Complete assignments reviewed by mentors

Programme Overview

22 sections covering the complete curriculum — a single, progressive learning arc.

40 hours

Training Duration

Core Modules

234

Total Lessons

4.4★

Average Rating

50K+

Students Trained

Foundations & Core Concepts

Get hands-on with the fundamentals and architecture — the building blocks for everything that follows.

Fundamentals Architecture Setup

Hands-On Practical Training

Work through real exercises and assignments designed to mirror what you will do on the job.

Practicals Assignments Labs

Real-World Projects

Apply what you have learned to end-to-end projects that go straight into your portfolio.

Projects Portfolio Case Studies

Advanced Techniques

Go beyond the basics with advanced concepts, integrations and production-grade practices.

Advanced Integration Best Practices

Ecosystem Integration

Understand how this technology connects with the broader tools and platforms used in the industry.

Ecosystem Tools Platforms

Performance & Interview Prep

Master optimization techniques and prepare for the technical interview questions employers actually ask.

Optimization Interview Prep Certification

Who is this programme for?

Whether you're already writing code, working with data, or supporting applications today — this programme is built to take you into a AI role.

Software Developers

Engineers who want to add this skill set to their toolkit

Analysts & Consultants

Professionals moving into a more technical, hands-on role

IT Professionals

System admins and support engineers upskilling into a new domain

Fresh Graduates

CS/IT graduates aiming for a job-ready technical role

Course Curriculum

22 sections • 234 lessons • 40 hours

Jump to Section

Total Duration

40 hours

100% Practical · Unlimited Doubt Sessions

01 AI Governance & AI Compliance Training Program

(AI Governance + Responsible AI + ISO 42001 + AI Risk Management + AI Security + Regulatory Compliance + Generative AI Governance)

Duration: 40 Hours

Projects: 4 Enterprise Projects

Assignments: 10 Practical Assignments

Job-Oriented Scenarios: 10 Real-World Governance Cases

Target Roles: AI Governance Analyst, AI Compliance Specialist, AI Risk Manager, Responsible AI Consultant, and AI Governance Lead.

02 Target Audience

• AI Engineers

• Data Scientists

• ML Engineers

• Risk & Compliance Professionals

• IT Auditors

• GRC Teams

• Cyber Security Professionals

• Legal & Regulatory Teams

• Enterprise Architects

• Digital Transformation Leaders

03 🎯 Program Objectives

By the end of this training, participants will be able to:

✅ Establish AI Governance Frameworks

✅ Implement Responsible AI Practices

✅ Manage AI Risks and Controls

✅ Ensure Regulatory Compliance for AI Systems

✅ Conduct AI Audits and Assessments

✅ Develop AI Policies and Standards

✅ Implement AI Security & Privacy Controls

✅ Prepare Organizations for AI Regulatory Requirements

04 Module 1: Introduction to AI Governance

Topics

• Fundamentals of AI

• AI vs Generative AI

• Enterprise AI Adoption Challenges

• Why AI Governance Matters

• AI Risk Landscape

• Responsible AI Concepts

• AI Ethics Principles

Practical Exercise

Analyze AI failures and governance gaps.

Assignment

›Prepare an AI Governance Maturity Assessment.

05 Module 2: AI Governance Frameworks

Topics

• AI Governance Lifecycle

• AI Governance Operating Model

• AI Governance Committees

• AI Governance Policies

• AI Accountability Frameworks

• AI Control Frameworks

Industry Frameworks

• NIST AI RMF

• OECD AI Principles

• ISO 42001

• ISO 23894

Assignment

›Design an AI Governance Framework for an enterprise.

Job Scenario

›Implement governance controls for enterprise-wide AI adoption.

06 Module 3: AI Regulations & Global Compliance

Topics

• Global AI Regulations

• Regulatory Landscape

• Compliance Requirements

• Cross-Border AI Governance

Key Regulations

• European Union AI Act

• GDPR & AI

• U.S. AI Executive Orders

• Singapore AI Governance Framework

• India AI Governance Initiatives

Assignment

›Perform AI Regulatory Gap Analysis.

Job Scenario

›Assess AI compliance requirements for multinational organizations.

07 Module 4: ISO 42001 - AI Management System

Topics

• Introduction to ISO 42001

• AI Management System (AIMS)

• Governance Structure

• Risk Management

• Continuous Improvement

Controls Implementation

Practical Lab

Create ISO 42001 Control Matrix.

Assignment

›Develop AI Management System Documentation.

08 Module 5: AI Risk Management

Topics

• AI Risk Identification

• AI Risk Classification

• AI Risk Registers

• AI Impact Assessments

• Risk Treatment Plans

Risk Categories

• Operational Risk

• Security Risk

• Ethical Risk

• Legal Risk

• Model Risk

Assignment

›Create AI Risk Register.

Job Scenario

›Perform risk assessment for AI-powered customer service systems.

09 Module 6: Responsible AI & Ethical AI

Topics

• Fairness

• Transparency

• Explainability

• Accountability

• Human Oversight

• Non-Discrimination

• Responsible AI Principles

Practical Exercise

Bias and Fairness Assessment.

Assignment

›Create Responsible AI Policy.

Job Scenario

›Evaluate fairness in recruitment AI systems.

10 Module 7: AI Privacy & Data Governance

Topics

• Privacy by Design

• Data Minimization

• Consent Management

• Data Lineage

• Data Classification

• Data Retention

AI Privacy Risks

GDPR Compliance

Assignment

›Develop AI Data Governance Policy.

Job Scenario

›Implement privacy controls for AI applications.

11 Module 8: AI Security Governance

Topics

• AI Security Fundamentals

• Adversarial AI

• Model Theft

• Prompt Injection

• Data Poisoning

• Model Security Controls

AI Threat Modeling

Secure AI Development Lifecycle

Assignment

›Perform AI Security Risk Assessment.

Job Scenario

›Protect Generative AI applications from misuse.

12 Module 9: Generative AI Governance

Topics

• GenAI Governance Frameworks

• LLM Governance

• Prompt Governance

• AI Usage Policies

• AI Output Validation

• Hallucination Management

• AI Monitoring

Enterprise Copilot Governance

Assignment

›Develop GenAI Governance Policy.

Job Scenario

›Govern enterprise deployment of ChatGPT/Copilot.
›

13 Module 10: AI Compliance Auditing

Topics

• AI Audit Framework

• AI Compliance Controls

• Evidence Collection

• AI Risk Reviews

• Internal Audits

Audit Checklists

Compliance Monitoring

Practical Lab

Conduct AI Compliance Audit.

Assignment

›Prepare AI Audit Report.

Job Scenario

›Perform AI compliance review for a regulated organization.

14 Module 11: AI Governance in Industry

Topics

• AI Governance in Banking

• AI Governance in Healthcare

• AI Governance in Insurance

• AI Governance in Retail

• AI Governance in Government

Case Studies

Assignment

›Industry-Specific Governance Framework Design.

15 Module 12: AI Governance Tools & Platforms

Topics

• Model Governance Tools

• AI Inventory Management

• Model Monitoring

• Compliance Dashboards

Tools Overview

• Microsoft Responsible AI Tools

• IBM Watson OpenScale

• Azure AI Governance Features

• Google Vertex AI Governance

Practical Exercise

AI Governance Tool Evaluation.

16 Module 13: AI Governance Program Implementation

Topics

• AI Governance Roadmap

• AI Center of Excellence (CoE)

• Governance Committees

• Roles & Responsibilities

• Policy Management

Assignment

›Build Enterprise AI Governance Program.

Job Scenario

›Launch AI Governance Office for a large organization. Launch AI Governance Office for a large organization.

17 🚀 Industry Projects

Project 1: Enterprise AI Governance Framework

Deliverables

• Governance Charter

• AI Policies

• Risk Register

• Compliance Matrix

Project 2: AI Compliance Assessment

Deliverables

• Regulatory Gap Analysis

• Compliance Controls

• Audit Findings

• Remediation Plan

Project 3: Generative AI Governance Program

Deliverables

• GenAI Policies

• Usage Standards

• Risk Controls

• Monitoring Framework

Project 4: ISO 42001 Implementation

Deliverables

• AIMS Documentation

• Control Framework

• Risk Assessment

• Internal Audit Reports

18 📝 Practical Assignments

Assignment 1

›AI Governance Maturity Assessment

Assignment 2

›AI Risk Register Creation

Assignment 3

›Responsible AI Policy

Assignment 4

›AI Security Assessment

Assignment 5

›AI Compliance Gap Analysis

Assignment 6

›Data Governance Framework

Assignment 7

›GenAI Governance Policy

Assignment 8

›AI Audit Checklist

Assignment 9

›ISO 42001 Documentation

Assignment 10

›Enterprise Governance Roadmap

19 💼 Real-Time Job-Oriented Scenarios

Scenario 1

›A bank wants to deploy AI-powered loan approval systems.

Scenario 2

›An HR organization uses AI for recruitment and needs bias assessment.

Scenario 3

›A healthcare provider wants AI compliance with privacy regulations.

Scenario 4

›An enterprise deploys Microsoft Copilot across 10,000 employees.

Scenario 5

›A company must comply with EU AI Act requirements.

Scenario 6

›AI-generated content causes legal and compliance concerns.

Scenario 7

›Implement AI governance for customer support chatbots.

Scenario 8

›Perform AI risk assessment for an insurance company.

Scenario 9

›Prepare for ISO 42001 certification audit.

Scenario 10

›Build an enterprise-wide AI Governance Office.

20 🛠 Tools & Frameworks Covered

Governance Frameworks

• NIST AI RMF

• ISO 42001

• ISO 23894

• COBIT

• COSO

Compliance & Risk

• GDPR

• EU AI Act

• AI Impact Assessments

• Risk Registers

AI Platforms

• Microsoft Copilot

• Azure AI

• OpenAI

• Google Vertex AI

• IBM Watson

Security Frameworks

• NIST Cybersecurity Framework

• OWASP Top 10 for LLM Applications

• MITRE ATLAS

21 🎯 Career Opportunities

• AI Governance Analyst

• AI Compliance Specialist

• AI Risk Manager

• Responsible AI Consultant

• AI Auditor

• AI Policy Advisor

• AI GRC Consultant

• AI Security & Compliance Manager

• AI Governance Lead

• Chief AI Governance Officer

22 🎓 Recommended Certifications

• The Open Group Open FAIR

• ISACA CRISC

• ISACA CGEIT

• ISO 42001 Lead Implementer

• ISO 42001 Lead Auditor

• NIST AI Risk Management Framework Training

• Responsible AI Certifications

• AI Governance Professional Certifications

Tools & Technologies

Every tool listed here is installed, configured and used in a hands-on lab session.

Core Tools

Hands-On Labs

Practical Environment

Industry-Standard Tools

Real-World Setup

Guided Exercises

Skill Building

Sample Datasets

Practice Material

Practice & Projects

Mini Projects

Applied Practice

Assignments

Mentor Reviewed

Doubt Sessions

Live Support

Career Readiness

Resume Building

Career Support

Mock Interviews

Interview Prep

Certification Prep

Global Recognition

Deployment & Delivery

Production Practices

Real-World Ready

Best Practices

Industry Standards

234+

Hands-On Lessons

Core Modules

40 hours

Training Duration

100%

Practical Training

You don't just learn AI GOVERNANCE & AI COMPLIANCE. You ship it.

Three major projects, each mirroring how production teams actually work — from guided foundations to a portfolio-ready capstone.

PROJECT // 01

Guided Foundation Project

→Requirement Analysis

→Guided Implementation

→Mentor Review

→Iteration

Foundation Beginner

Apply the fundamentals in a structured, mentor-reviewed project

Take the core concepts from the first half of the curriculum and apply them to a realistic scenario, with guidance and feedback from your mentor at every step.

Structured project brief

Step-by-step implementation

Mentor feedback and review

Documented outcome

Stack Core Concepts Best Practices

PROJECT // 02

Applied Practice Project

→Scenario Design

→Independent Build

→Testing & Validation

→Peer Review

Applied Intermediate

Build a more independent project mirroring real production scenarios

Work through a project that combines multiple concepts from the curriculum, closer to how work is actually structured on the job — less hand-holding, more ownership.

End-to-end implementation

Testing and validation

Documentation

Peer/mentor review

Stack Applied Skills Testing

PROJECT // 03

Capstone Project

→Planning

→End-to-End Build

→Review & Refinement

→Presentation

Capstone Advanced

Take a project from requirements to a polished, portfolio-ready deliverable

Your final project — plan, build, test and present a complete solution using everything covered in the curriculum, reviewed by mentors before you graduate.

Complete working solution

Presentation-ready documentation

Mentor sign-off

Portfolio-ready deliverable

Stack Full Curriculum Portfolio

All 3 projects go directly into your portfolio & resume — reviewed by mentors before you graduate.

See Sample Project Reports

Upcoming Batches

No upcoming batches scheduled right now. Enquire to get notified.

Why Radical Technologies

Live Online Training

Highly practical oriented training
Installation support on your system
24/7 Email and Phone support
100% Placement Assistance
Global Certification Preparation
Trainer-Student Interactive Portal
Assignments and Projects by Mentors

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Live Classroom Training

Weekend / Weekdays / Morning / Evening batches
80:20 Practical and Theory ratio
Real-life Case Studies
Easy make-up for missed sessions
PSI | Kryterion | Redhat Test Centers
Lifetime Video Classroom Access (coming soon)
Resume Prep and Mock Interviews

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Self-Paced Training

Learn 300+ courses at your own time
50,000+ Satisfied Learners
Course Completion Certificate
Practical Labs available
Mentor Support available
Doubt Clearing Session available
10% Discounted Global Certification

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Global Certification

Radical Technologies is the leading IT certification institute in Pune, offering globally recognized certifications across various domains. With expert trainers and comprehensive materials, we ensure students gain in-depth knowledge and hands-on experience to excel in their careers. Our certification programs are tailored to meet industry standards — from cloud technologies to data science — empowering individuals to stay ahead in the ever-evolving tech landscape.

Career Services

At Radical Technologies, we are committed to your success beyond the classroom. Our 100% Job Assistance program ensures that you are not only equipped with industry-relevant skills but also guided through the job placement process. With personalised resume building, interview preparation, and access to our extensive network of hiring partners, we help you take the next step confidently into your IT career.