AI5 PROFESSIONAL CERTIFICATE · BY TGC INDIA · UPDATED AUGUST 2026

AI Governance & Responsible Use

Set practical rules for data, privacy, checking, copyright and human approval.

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Online + OfflineWeekdays + WeekendsRegular + Fast Track
The team system133

People, policy and tools move as one working structure.

PEOPLERULESSCALE
DurationCustom 1–3 days
Learning modeClassroom + Live Online
ScheduleWeekdays + Weekends
TrackRegular + Fast Track*
Entry levelManagers + teams
Projects6 substantial practical builds
22+years in training
20,000+learners across TGC
5classroom locations
Live onlinejoin from anywhere

NEXT START OPTIONS

Choose a live batch.

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COURSE OVERVIEW

What this course
is built to do.

Create practical company rules for AI tools, data, privacy, copyright, human approval, monitoring and incident handling.

Each module combines a live trainer demonstration, guided lab, assignment and review before the next stage.

WHO SHOULD JOINManagers and policy teamsRisk, legal and compliance staffIT and security teamsCompany AI champions
PREREQUISITE

No coding background is required. Knowledge of company policy, risk or technology is helpful.

CONNECTED CAREER DIRECTIONS

AI Governance AnalystResponsible AI CoordinatorModel Risk AssociateAI Policy and Compliance Lead

IS THIS COURSE RIGHT FOR YOU?

Choose it for the right reason.

01

Your company needs practical AI rules

02

You handle risk, policy, IT or compliance

03

You want monitoring and incident procedures

YOUR LEARNING ARC

From guided foundation to finished work.

01

Inventory

Map tools, use cases and owners.

02

Protect

Set data, privacy and content rules.

03

Control

Assign risk tiers and human approval.

04

Operate

Test, monitor and handle incidents.

INDUSTRY TASKS

Practise the work, not only the tool.

  1. Build an AI inventory and responsibility map
  2. Create a use-case risk register
  3. Present a policy, monitoring and incident pack
PRO
LED

YOUR TRAINING TEAM

Learn from experienced working professionals.

Live demonstrations, guided practice and direct project feedback are part of the course. Trainers update examples and tool coverage as professional practice changes.

Meet our trainers ↗

WHAT YOU WILL BE ABLE TO DO

Course outcomes

01

Map company AI use and ownership

An inventory and responsibility chart.

02

Set data and content rules

A practical handling matrix and employee guide.

03

Assess AI risks and controls

A tiered risk register with approval gates.

04

Operate governance after launch

A monitoring, incident and policy implementation pack.

TAKE THE NEXT STEP

Need fees, syllabus or the right batch?

An AI5 Academy advisor can help you compare mode, schedule and starting level.

DETAILED COURSE FLOW

5 learning modules

Create practical company rules for AI data, privacy, checking, copyright, access, human approval and incident response.

MODULE 01

AI inventory, roles and policy scope

Know which tools and use cases exist before writing rules.

CORE TOPICS
  • AI system and tool inventory
  • User groups and business purposes
  • Ownership and decision rights
  • Policy scope and prohibited uses
GUIDED PRACTICE

Build an AI inventory and responsibility map for a sample company.

MODULE DELIVERABLE

AI governance inventory

MODULE 02

Data, privacy and intellectual property

Set clear handling rules for prompts, files, outputs and company knowledge.

CORE TOPICS
  • Data classification and approved accounts
  • Personal and confidential information
  • Copyright, licences and source records
  • Vendor and retention questions
GUIDED PRACTICE

Create a data-use matrix covering common employee scenarios.

MODULE DELIVERABLE

AI data and content rulebook

MODULE 03

Risk assessment and human control

Match review strength to the possible harm of a task.

CORE TOPICS
  • Use-case risk tiers
  • Accuracy, fairness and security checks
  • Human review and approval gates
  • Documentation and audit evidence
GUIDED PRACTICE

Assess several use cases and assign controls, owners and release gates.

MODULE DELIVERABLE

AI risk and control register

MODULE 04

Evaluation, monitoring and incidents

Maintain quality after launch and respond when systems fail or are misused.

CORE TOPICS
  • Test sets and acceptance measures
  • Usage, error and complaint monitoring
  • Incident reporting and containment
  • Suspension, correction and lessons
GUIDED PRACTICE

Run a tabletop AI incident and prepare the response record.

MODULE DELIVERABLE

AI monitoring and incident plan

MODULE 05

Governance implementation capstone

Turn policy into employee guidance, review routines and accountable management.

CORE TOPICS
  • Policy writing and plain-language guidance
  • Training and acknowledgement
  • Exception requests and review boards
  • Review dates and change records
GUIDED PRACTICE

Present a working governance pack and implementation schedule.

MODULE DELIVERABLE

AI governance capstone

HOW THE TRAINING WORKS

Learn it. Apply it. Get it reviewed. Improve it.

Every important skill moves through explanation, demonstration, guided use and independent application. Trainer feedback is used to revise the work before it becomes part of the final portfolio.

01

Concept briefing

The trainer explains the principle, use case, limitations and the quality standard expected.

02

Live demonstration

A complete task is demonstrated while the trainer explains decisions, checks and common mistakes.

03

Guided lab

Learners repeat the method with support, ask questions and correct problems during the session.

04

Applied assignment

The same method is used on a different brief so the learner must make independent decisions.

05

Review and revision

Work is checked against a rubric, revised after feedback and prepared for project presentation.

PROGRESS IS CHECKED THROUGHClass exercisesModule deliverablesProject reviewsFinal capstone presentation

PORTFOLIO WORK

Projects you can show

01

Guided practice brief

Plan, produce, test and present a finished piece with trainer feedback.

02

Individual application

Plan, produce, test and present a finished piece with trainer feedback.

03

Workflow build

Plan, produce, test and present a finished piece with trainer feedback.

04

Industry-style assignment

Plan, produce, test and present a finished piece with trainer feedback.

05

Quality review

Plan, produce, test and present a finished piece with trainer feedback.

06

Final capstone

Plan, produce, test and present a finished piece with trainer feedback.

TAKE THE NEXT STEP

Need fees, syllabus or the right batch?

An AI5 Academy advisor can help you compare mode, schedule and starting level.

TOOLS COVERED

Policy templatesRisk registerEvalsAI tools
Tool coverage may be updated when the industry changes. Core methods remain part of the course.

COMMON QUESTIONS

Before you apply

Does this provide legal certification?

No. It teaches governance working methods; company legal counsel should approve legal policy.

Is technical knowledge required?

No. Risk, policy, IT, security and business participants can work together in the course.

Can it be customised for a company?

Yes. The inventory, rules and review process can be built around approved company examples.

Do I need coding experience?

No, unless the course level says otherwise. Your advisor will check the right starting level.

Are classes live or recorded?

Classes are trainer-led in the classroom or live online. Recordings may support revision but do not replace class.

Will I receive a certificate?

Yes. Course completion requires attendance, assignments and the final project.

Can working professionals join?

Yes. Weekday, weekend and selected fast-track schedules are available.

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NEXT BATCH

Choose your course.
Choose your schedule.

Online or offline. Weekdays or weekends. Regular or fast track. Speak with an AI5 Academy advisor about the right starting level.

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