Role-Based Programme
RB0232

Kimi for Information Technology

AI Skills for Smarter Technical Work

IMAGE REQUIRED
Duration
4 Hours
Level
Awareness
Delivery
Instructor-Led
Format
Awareness Session

Programme Objectives

  • Understand how Kimi can support everyday IT activities including technical research, troubleshooting, documentation, code understanding, and solution analysis.
  • Explore practical prompting techniques for technical questions, incidents, configurations, logs, scripts, and documentation.
  • Apply Kimi's web-connected research capabilities to investigate current technologies, errors, documentation, and technical solutions.
  • Experience how lengthy technical documents, files, logs, and code-related information can be analysed and transformed into structured outputs.
  • Recognise cybersecurity, confidentiality, source verification, version accuracy, and human-review requirements when using AI in IT environments.

Tools covered

KimiPromptingWeb-Connected SearchFile & Long-Context AnalysisTechnical ReasoningKimi Code Overview

Who should attend

  • IT Support Professionals
  • Service Desk Professionals
  • System Administrators
  • Network Administrators
  • Application Support Professionals
  • Software Developers
  • IT Operations Professionals
  • Cloud & Infrastructure Professionals
  • DevOps Professionals
  • Technical Support Engineers
  • QA & Testing Professionals
  • IT Analysts
  • IT Engineers
  • IT Managers & Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of Information Technology concepts
  • Familiarity with systems, applications, infrastructure, support, or software-development activities is helpful
  • Basic computer and internet proficiency
  • No advanced programming or AI knowledge required
  • No previous Kimi experience required

TOC Modules

Concepts
  • Understanding Kimi and Generative AI from an IT perspective
  • Exploring applications across technical research, troubleshooting, coding, documentation, and knowledge work
  • Understanding conversational reasoning, web-connected search, multimodal inputs, and long-context capabilities
  • Understanding AI assistance versus technical ownership and engineering judgement
Practical activities
  • Exploring Kimi through common IT support and engineering questions
  • Comparing a traditional technical task with a Kimi-assisted approach

Scenarios

IT Incident to Troubleshooting & Resolution Plan

Incident Details → Environment & Logs → Kimi Analysis → Web Research → Possible Causes → Diagnostic Steps → Resolution Plan → Knowledge Note

Participants use Kimi to investigate a sample IT incident, analyse supplied technical information, research current guidance, and prepare a structured troubleshooting plan before any production changes are made.

Technical Requirement to Script & Documentation

Technical Requirement → Environment → Kimi Prompt → Script Draft → Security & Logic Review → Refinement → Runbook / Documentation

Participants use Kimi to turn a clearly defined technical requirement into a basic script and supporting technical documentation while validating security, compatibility, and correctness before execution.

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