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Responsible AI for IT Services

Understand where AI sits in IT service work, what must still be checked by a person, and what never goes into a prompt.

What this course does not do

Awareness only, and internal ITIL-aligned learning — non-certifying. It makes no competence claim and does not authorise you to deploy, configure or approve AI systems; internal policy and your governance function decide that. External AI governance qualifications exist and are awarded by external certification bodies, entirely outside this platform. Any refresher schedule attached to this course is company policy, not a universal legal interval.

AwarenessBeginnerIT Service Management
6 modules 35 lessons 3 enrolled ~4h of material
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First three lessons free. Full access with Founding Annual Access, ₹3,999 for your first year.

Responsible AI for IT Services

By the end

What you'll build

  • Describe where AI is used across IT service workflows and what each use assumes
  • Judge when AI output must be checked by a person before it reaches a colleague or consumer
  • Apply data-handling rules when prompting or configuring AI-assisted tools
  • Recognise hallucination, bias and automation complacency in service contexts
  • Escalate an AI-related concern through the correct internal route

Curriculum

What's inside

6 modules · 35 lessons

  1. 01

    AI in service workflows

    6 lessons
    • Where AI already sits in the service value stream
    • Assisted triage, summarisation and drafting
    • Knowledge retrieval and its failure modes
    • Predictive and anomaly-based monitoring
    • Automation that acts versus automation that suggests
    • + 1 more lesson
  2. 02

    Trust, verification and human oversight

    6 lessons
    • Deciding what must be checked before it reaches a user
    • Confidence, plausibility and hallucination
    • Automation complacency and skill fade
    • Designing a review step that is meaningful rather than a rubber stamp
    • Recording that a person made the decision
    • + 1 more lesson
  3. 03

    Data, privacy and confidentiality

    6 lessons
    • What must never go into a prompt
    • Personal data, customer data and internal-only material
    • Retention, logging and where prompt content actually goes
    • Many jurisdictions restrict automated decisions that affect people
    • What to do if you suspect a data exposure
    • + 1 more lesson
  4. 04

    Fairness, transparency and accountability

    6 lessons
    • Who is accountable when an AI-assisted decision goes wrong
    • Bias in training data and in routing rules
    • Explaining an outcome to the person affected by it
    • Documenting purpose, limits and owners
    • Reviewing an AI-assisted process after an incident
    • + 1 more lesson
  5. 05

    Using AI well in daily work

    6 lessons
    • Prompting, checking and attributing in service work
    • Framing a request with context and constraints
    • Verifying output against an authoritative source
    • Marking content as AI-assisted
    • Raising a concern and requesting a review
    • + 1 more lesson
  6. 06

    Practice and check

    5 lessons
    • What it is, and what it needsmatch pairs
    • Drafting a customer update with an assistantsequence order
    • The habits that hold upfill blank
    • Ten minutes to a customer updatescenario
    • Course quizquiz

The shape of it

How this course works

Short lessons

35 lessons across 6 modules, each small enough to finish in one sitting.

Practice as you go

Every lesson ends with a small space for what you noticed — the doing is the learning.

Progress you can see

Your progress is saved lesson by lesson, ready whenever you come back.

Ready when you are.

Make an account and this course opens up — your progress is saved from the very first lesson.

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