Radical Technologies
AI
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(2,095 ratings)  50,000+ Student

AIGP โ€“ ARTIFICIAL INTELLIGENCE GOVERNANCE PROFESSIONAL

The AIGP โ€“ Artificial Intelligence Governance Professional Syllabus focuses on the principles, frameworks, and best practices for governing AI systems responsibly within organizations. It covers AI risk management, ethical AI, regulatory compliance, governance frameworks, accountability, and lifecycle oversight. This training explains how businesses establish controls to ensure AI systems are secure, transparent, compliant, and aligned with organizational policies. It is important because responsible AI governance is becoming essential as organizations adopt AI at scale. It is ideal for governance professionals, risk managers, compliance officers, AI leaders, legal advisors, and technology professionals involved in AI strategy and oversight.

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

AIGP โ€“ ARTIFICIAL INTELLIGENCE GOVERNANCE PROFESSIONAL

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

17 sections covering the complete curriculum โ€” a single, progressive learning arc.

40 hours
Training Duration
17
Core Modules
98
Total Lessons
4.4โ˜…
Average Rating
50K+
Students Trained
01

Foundations & Core Concepts

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

Fundamentals Architecture Setup
02

Hands-On Practical Training

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

Practicals Assignments Labs
03

Real-World Projects

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

Projects Portfolio Case Studies
04

Advanced Techniques

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

Advanced Integration Best Practices
05

Ecosystem Integration

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

Ecosystem Tools Platforms
06

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 โ€” 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

17 sections  โ€ข  98 lessons  โ€ข  40 hours

01 ๐ŸŽฏ Objective
To build expertise in:
AI governance frameworks & policies
Responsible & ethical AI
AI risk, privacy, and compliance
Enterprise AI lifecycle management
๐Ÿ‘‰ Become a AI Governance Consultant / AI Risk & Compliance Analyst
02 MODULE 1: Introduction to AI & Governance (4โ€“5 Hours)

๐Ÿ”น Topics

Basics of AI, ML, Generative AI
AI use cases in enterprise
What is AI Governance?

๐Ÿ”น Concepts

Responsible AI principles
Trustworthy AI

๐Ÿงช Assignment

  • ๐Ÿ‘‰ Identify AI use cases in your organization

๐Ÿ’ผ Scenario

  • ๐Ÿ‘‰ Company adopting AI without governance controls
03 MODULE 2: AI Regulations & Compliance (6โ€“7 Hours)

๐Ÿ”น Topics

Global AI regulations
Data protection laws:
GDPR
India DPDP Act
Industry standards

๐Ÿ”น Concepts

Legal risks in AI
Compliance frameworks

๐Ÿงช Assignment

  • ๐Ÿ‘‰ Map AI system to compliance requirements

๐Ÿ’ผ Scenario

  • ๐Ÿ‘‰ AI system violating data privacy rules
04 MODULE 3: Machine Learning Fundamentals (4โ€“5 Hours)

๐Ÿ”น Topics

Bias & fairness
Transparency & explainability
Accountability

๐Ÿ”น Concepts

Ethical risk assessment

๐Ÿงช Assignment

  • ๐Ÿ‘‰ Identify bias in AI model

๐Ÿ’ผ Scenario

  • ๐Ÿ‘‰ AI recruitment tool showing bias
05 MODULE 4: AI Risk Management (6โ€“7 Hours)

๐Ÿ”น Topics

AI risk identification
Risk classification
Risk mitigation strategies

๐Ÿ”น Frameworks

NIST AI Risk Management Framework

๐Ÿงช Assignment

  • ๐Ÿ‘‰ Create AI risk register

๐Ÿ’ผ Scenario

  • ๐Ÿ‘‰ AI model producing incorrect predictions
06 MODULE 5: AI Lifecycle Governance (6โ€“7 Hours)

๐Ÿ”น Topics

AI lifecycle stages:
Data collection
Model training
Deployment
Monitoring

๐Ÿ”น Concepts

Model governance
Version control

๐Ÿงช Assignment

  • ๐Ÿ‘‰ Map governance controls across lifecycle

๐Ÿ’ผ Scenario

  • ๐Ÿ‘‰ AI model deployed without monitoring
07 MODULE 6: Data Governance for AI (5โ€“6 Hours)

๐Ÿ”น Topics

Data quality
Data lineage
Data privacy

๐Ÿ”น Concepts

Data governance frameworks

๐Ÿงช Assignment

  • ๐Ÿ‘‰ Create data governance checklist

๐Ÿ’ผ Scenario

  • ๐Ÿ‘‰ Poor data quality affecting AI results
08 MODULE 7: Security & Privacy in AI (4โ€“5 Hours)

๐Ÿ”น Topics

AI security risks
Adversarial attacks
Privacy-preserving techniques

๐Ÿงช Assignment

  • ๐Ÿ‘‰ Identify AI security risks

๐Ÿ’ผ Scenario

  • ๐Ÿ‘‰ AI system exposed to cyber attacks
09 MODULE 8: AI Governance in Enterprise (4โ€“5 Hours)

๐Ÿ”น Topics

Governance frameworks
AI policies & standards
AI governance committees

๐Ÿงช Assignment

  • ๐Ÿ‘‰ Draft AI governance policy

๐Ÿ’ผ Scenario

  • ๐Ÿ‘‰ Enterprise AI adoption without policies
10 MODULE 9: Monitoring, Auditing & Reporting (3โ€“4 Hours)

๐Ÿ”น Topics

AI auditing
Performance monitoring
KPI & reporting

๐Ÿงช Assignment

  • ๐Ÿ‘‰ Create AI audit report

๐Ÿ’ผ Scenario

  • ๐Ÿ‘‰ AI model performance degrading
11 MODULE 10: Tools & Platforms (3โ€“4 Hours)

๐Ÿ”น Topics

AI governance tools overview
Model monitoring tools
Documentation tools
12 ๐Ÿงช CAPSTONE PROJECTS (VERY IMPORTANT)

๐Ÿ”ฅ Project 1: AI Governance Framework Design

Define policies
Risk management plan
Compliance mapping

๐Ÿ”ฅ Project 2: AI Risk Assessment

Identify risks
Create mitigation plan
Prepare risk report

๐Ÿ”ฅ Project 3: Responsible AI Implementation

Bias detection
Model monitoring
Governance controls
13 ๐Ÿ’ผ REAL-TIME JOB SCENARIOS

๐Ÿ”น Compliance Scenarios

  • AI violating GDPR
  • Data privacy breach

๐Ÿ”น Risk Scenarios

  • Incorrect AI predictions
  • Model drift

๐Ÿ”น Ethical Scenarios

  • Bias in AI decisions
  • Lack of explainability

๐Ÿ”น Governance Scenarios

  • No AI policies
  • Uncontrolled AI deployments
14 ๐ŸŽฏ Roles After Training
AI Governance Consultant
AI Risk Analyst
Data Privacy Analyst
Responsible AI Specialist
15 ๐Ÿ’ฐ Salary Insight (India)
Fresher: โ‚น6โ€“10 LPA
3โ€“6 Years: โ‚น12โ€“25 LPA
Senior: โ‚น30+ LPA
16 ๐Ÿ“œ Certification
๐Ÿ‘‰ AIGP Certification by:
IAPP
17 ๐Ÿš€ Final Outcome
๐Ÿ‘‰ You will be able to:
Govern AI systems in enterprise
Handle compliance & risk
Implement responsible AI practices

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

98+
Hands-On Lessons
17
Core Modules
40 hours
Training Duration
100%
Practical Training

You don't just learn AIGP โ€“ ARTIFICIAL INTELLIGENCE GOVERNANCE PROFESSIONAL. You ship it.

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

PROJECT // 01

Guided Foundation Project

โ†’Requirement Analysis

โ†’Guided Implementation

โ†’Mentor Review

โ†’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

โ†’Scenario Design

โ†’Independent Build

โ†’Testing & Validation

โ†’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 โ€” less hand-holding, more ownership.

End-to-end implementation
Testing and validation
Documentation
Peer/mentor review
Stack Applied Skills Testing
PROJECT // 03

Capstone Project

โ†’Planning

โ†’End-to-End Build

โ†’Review & Refinement

โ†’Presentation

Capstone Advanced

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

Your final project โ€” 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 โ€” 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
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  • 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
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  • Course Completion Certificate
  • Practical Labs available
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  • 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 โ€” from cloud technologies to data science โ€” empowering individuals to stay ahead in the ever-evolving tech landscape.

Certificate of Completion

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.

Career Support

Course Completed? Need next steps?
Need Interview Supports?
Need Job Assistance?
Came from any other Institute?

Join our Brush-up Session & get support until you find a job!

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Radical Learning Eco-System

Exam Simulator

Cloud SandBox

Hands-on Cloud Lab

Developer Coding Ground

Student Reviews

4.4โ˜…
Average learner rating
50K+
Students trained
30+
Hiring companies alumni work at
100%
Placement assistance
4.4
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Course Rating

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21%
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Accenture
Amazon
Avisys Services
Birlasoft
Capgemini
Catchpoint
Cognizant
Darwish Cybertech
DataVision
GiBots
Google
Groots Software
HCL Technologies
IBM
Info Gain
Infosys
ITCube Solutions
KPIT
L&T Infotech
Microsoft
Mphasis
mPhatek
Oracle
Quantbit Technologies
Saina Cloud
TCS
Tech Mahindra
Wipro
YASH Technologies
Zensar Technologies