Role-Based Programme
RB0187
Perplexity for Information Technology
AI-Powered Research & Technical Intelligence
IMAGE REQUIRED
Duration
4 Hours
Level
Awareness
Delivery
Instructor-Led
Format
Awareness Session
Programme Objectives
- Understand how Perplexity can support everyday Information Technology research, troubleshooting, and technical knowledge activities.
- Explore effective query techniques for researching technologies, errors, configurations, documentation, and IT best practices.
- Apply Perplexity to discover, compare, synthesise, and verify technical information from multiple sources.
- Experience how technical documents, logs, specifications, and external research can be combined into structured IT insights.
- Recognise source quality, version accuracy, cybersecurity, confidentiality, and human-validation requirements when using AI-assisted technical research.
Tools covered
Perplexity SearchPro SearchSources & CitationsFile UploadsResearch Mode OverviewTechnical Web Research
Who should attend
- IT Support Professionals
- Service Desk Professionals
- System Administrators
- Network Professionals
- Application Support Professionals
- Software Developers
- IT Operations Professionals
- Cloud & Infrastructure Professionals
- DevOps Professionals
- Technical Support Engineers
- QA & Testing Professionals
- IT Analysts
- Solution & Technical Professionals
- IT Managers & Team Leads
Prerequisites & Participant Readiness
- Basic understanding of Information Technology concepts
- Familiarity with common systems, applications, or technical-support activities is helpful
- Basic internet research skills
- No advanced programming knowledge required
- No previous Perplexity experience required
TOC Modules
Concepts
- Understanding Perplexity as an AI-powered search and research platform
- Understanding the Technical Question → Search → Sources → Synthesis → Verification workflow
- Identifying suitable IT applications across troubleshooting, technology research, documentation, and solution comparison
- Understanding the difference between AI-generated synthesis and authoritative technical documentation
Practical activities
- Exploring Perplexity through common IT research questions
- Comparing traditional technical web search with a Perplexity-assisted approach
Scenarios
Technical Incident to Verified Troubleshooting Plan
Technical Issue → Environment & Error Details → Perplexity Research → Source Comparison → Possible Causes → Validation Steps → Troubleshooting Plan
Participants use Perplexity to investigate a technical incident, validate information against credible sources, and prepare a structured troubleshooting approach before implementation.
Technology Requirement to Solution Comparison
IT Requirement → Research Criteria → Technology Options → Source-Backed Comparison → Risks & Limitations → Technical Recommendation
Participants use Perplexity to research and compare technology options, identify key capabilities and constraints, and prepare a concise technical evaluation for IT-team review.
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