Role-Based Programme
RB0421

Meta AI & Manus for Information Technology

AI-Assisted Research, Troubleshooting & IT Operations

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Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training

Programme Objectives

  • Develop practical proficiency in using Meta AI and Manus for IT research, technical analysis, documentation, troubleshooting, and operational support.
  • Use Meta AI for rapid technical exploration, explanation, brainstorming, and communication, while applying Manus to structured multi-step research and task workflows.
  • Apply AI assistance to incident analysis, root-cause investigation, technical documentation, change planning, service reporting, and knowledge management.
  • Build structured IT workflows that combine technical evidence, operational data, research, analysis, and stakeholder communication.
  • Apply responsible AI practices covering credentials, confidential technical information, source validation, security-sensitive content, and human technical approval.

Tools covered

Meta AIManusAI ChatWeb ResearchDocument AnalysisMultimodal InteractionContent GenerationTask PlanningAI-Assisted Research & Reporting

Who should attend

  • IT Managers
  • IT Operations Professionals
  • System Administrators
  • Infrastructure Engineers
  • Network Engineers
  • Cloud Operations Professionals
  • Application Support Professionals
  • Technical Support Engineers
  • IT Service Management Professionals
  • DevOps Professionals
  • IT Business Analysts
  • Technical Architects
  • Platform Operations Professionals
  • IT Transformation Professionals

Prerequisites & Participant Readiness

  • Working understanding of IT systems and technical operations
  • Familiarity with incidents, troubleshooting, applications, infrastructure, or service-management processes
  • Basic understanding of technical documentation and operational reporting
  • Familiarity with structured IT data is helpful
  • Basic understanding of generative AI concepts
  • No advanced programming expertise required
  • No previous Meta AI or Manus experience required

TOC Modules

Concepts
  • Understanding generative AI and agent-based AI in technical environments
  • Comparing conversational AI assistance with multi-step task execution
  • Identifying suitable use cases across IT operations, support, research, and documentation
  • Differentiating AI-generated guidance from authorized technical actions
Practical activities
  • Exploring Meta AI and Manus through IT-focused scenarios
  • Testing structured technical prompts
  • Matching IT tasks to the appropriate AI approach
  • Building Technical Need → Tool Selection → AI Output → Engineer Validation workflow

Scenarios

Critical Incident Investigation & Recovery Support

Incident Symptoms → Meta AI Technical Exploration → Evidence & Logs → Manus Multi-Step Investigation → Root-Cause Hypotheses → Engineer Validation → Recovery Plan → Knowledge Article

Participants investigate a complex IT incident, structure evidence, evaluate possible causes, and prepare recovery documentation while keeping diagnosis and production actions under qualified technical ownership.

Infrastructure Performance Issue to Improvement Plan

Performance Metrics → Problem Definition → Manus Research & Analysis → Meta AI Option Exploration → Capacity / Configuration Findings → Improvement Options → IT Management Brief

Participants analyze an infrastructure or service-performance problem, compare improvement options, and prepare a management-ready technical recommendation supported by validated evidence.

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