Role-Based Programme
RB0191
Perplexity for Project & Program Management
Research, Analyse & Build Evidence-Based Project Workflows
IMAGE REQUIRED
Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training
Programme Objectives
- Develop functional proficiency in applying Perplexity across project research, planning support, risk intelligence, vendor evaluation, benchmarking, and program decision support.
- Apply advanced query-engineering techniques to produce focused, current, source-backed, and project-relevant findings.
- Use Research Mode, web sources, project documents, and approved organisational files to investigate complex project questions and external dependencies.
- Build reusable Perplexity Projects for project intelligence, research, risk reviews, vendor analysis, and management reporting.
- Apply source validation, confidentiality, evidence quality, assumption testing, and human judgement before using AI-generated research in project decisions.
Tools covered
PerplexityPro SearchResearch ModeWeb SearchFile UploadsProjectsProject Files & Connected Tools
Who should attend
- Project Managers
- Program Managers
- PMO Professionals
- Project Coordinators
- Program Coordinators
- Project Leads
- Delivery Managers
- Implementation Managers
- Transformation Managers
- Portfolio Management Professionals
- Technical Project Managers
- Business Project Managers
- Scrum Masters & Agile Delivery Professionals
- Project & Program Management Leaders
Prerequisites & Participant Readiness
- Basic familiarity with project or program-management activities
- Understanding of scope, milestones, risks, dependencies, stakeholders, and project reporting
- Basic web-research and business-information interpretation skills
- Familiarity with project documents and spreadsheets is helpful
- Basic understanding of Generative AI is beneficial but not mandatory
- Completion of a shorter Perplexity programme is not required
TOC Modules
Concepts
- Understanding Perplexity as an AI-powered search, research, and evidence-synthesis platform
- Identifying project activities where current external intelligence can improve planning and decisions
- Differentiating source-backed findings from AI-generated assumptions or recommendations
- Understanding outdated information, incomplete evidence, hallucinations, and research limitations
Practical activities
- Mapping project-management activities to suitable Perplexity-assisted research workflows
Scenarios
Technology Implementation Decision
Business Requirement → Perplexity Research → Technology Options → Vendor Intelligence → Implementation Evidence → Risk & Dependency Analysis → Option Comparison → Project Recommendation
Participants use Perplexity to investigate a technology implementation requirement, compare available approaches and vendors, identify evidence-backed risks and dependencies, and produce a decision-ready project brief.
Program Risk & Executive Decision Review
Multiple Project Updates → Project Files → External Risk Research → Cross-Project Dependencies → Evidence Validation → Priority Risks → Management Actions → Executive Brief
Participants combine project information with current external intelligence to identify significant program-level risks and dependencies and prepare a source-backed executive briefing highlighting decisions and actions required.
Related programmes
Continue with programmes from the same capability area.
- ChatGPT for Human Resources: AI Skills for Smarter Everyday HR
- ChatGPT for Human Resources: Practical AI for Smarter HR Workflows
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- ChatGPT for Marketing: AI Skills for Modern Marketing Teams
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Instructor-ledVirtualHybrid
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