Certification
E²PAI Certification — 5-Day Intensive Bootcamp
The AI-augmented E²P flagship bootcamp. Build practical capability across AI business analysis, AI project management, agile automation, AI program strategy, responsible governance, change, leadership, and the E²PAI capstone.
- Format
- Live virtual, in-person, or private on-site
- Duration
- 1 week
- Level
- Practitioner
- From
- $2995.00
About this course
Course overview
Become a credible AI-augmented delivery leader.
The E²PAI Certification Intensive Bootcamp is a five-day, 40-hour program that applies business analysis, project management, agile delivery, program strategy, change management, and leadership through an AI-augmented operating model.
Participants learn how to use modern AI tools responsibly across delivery work while preserving human judgment, governance, privacy, quality control, and stakeholder trust. The experience includes applied labs, prompt patterns, governance checklists, an integrated AI capstone simulation, and the E²PAI certification exam voucher.
Learning outcomes
What you'll learn
Every module is tied to an outcome you can bring back to your team the next day.
- Use LLMs and structured prompts to support discovery, stakeholder analysis, requirements synthesis, modeling, validation, and decision support
- Generate and critique charters, work breakdown structures, schedules, risks, status reports, and governance artifacts
- Use AI-assisted backlog generation, story refinement, sentiment analysis, forecasting, and agile improvement routines
- Apply privacy, security, bias, quality-control, human-in-the-loop, and adoption practices to AI-enabled delivery
- Use AI to support program alignment, portfolio intelligence, benefits realization, adoption analytics, and change communication
- Communicate AI use clearly, manage stakeholder concerns, guide change, and protect trust while improving speed and quality
- Complete the AI-augmented capstone simulation and prepare for the E²PAI certification exam
- Document 40.0 PMI education PDUs: 22 Ways of Working, 10 Power Skills, and 8 Business Acumen
Audience
Who it's for
- Business analysts, project managers, product owners, program managers, Scrum Masters, change leaders, and delivery professionals who want practical AI-augmented execution capability
- Leaders and operators responsible for introducing AI into project, product, program, business analysis, or change-management work
- Experienced practitioners who want a structured path from AI experimentation to governed, repeatable delivery practice
- Organizations that need a credible way to train teams on AI use without losing privacy, quality control, governance, or stakeholder trust
Course structure
Syllabus
A structured path from core concepts to applied practice.
Day 1 — AI Business Analysis
- AI-ready business analysis foundations, AI opportunities and limits, stakeholder context, constraints, assumptions, and AI-ready analysis briefs
- AI-assisted elicitation, interview preparation, transcript analysis, theme extraction, ambiguity detection, follow-up questions, and human review
- Consent, confidentiality, source control, hallucination safeguards, requirements synthesis, user stories, acceptance criteria, process models, decision models, and validation loops
Day 2 — AI Project Management
- AI-generated planning artifacts including charters, scope statements, WBS drafts, milestone maps, assumptions, dependencies, and constraints
- AI-assisted estimates, resource scenarios, decision records, governance checkpoints, status narratives, dashboards, meeting summaries, and action items
- Predictive risk prompts, issue patterns, early-warning indicators, escalation recommendations, AI use policies, evidence trails, source verification, data handling, and auditability
Day 3 — Agile Automation
- Backlog generation, story splitting, refinement prompts, acceptance criteria, test ideas, definition of ready/done, team roles, and working agreements
- Sentiment analysis, blocker detection, retrospective themes, burndown forecasts, cycle-time patterns, flow constraints, and agile delivery diagnostics
- Customer feedback, support data, usage signals, experiment ideas, hypothesis generation, product decisions, roadmap implications, and improvement backlogs
Day 4 — AI Program Strategy
- Strategic alignment, initiative scoring, dependency mapping, risk clustering, scenario analysis, governance boards, decision memos, and executive communication
- Benefits maps, leading indicators, operational readiness, adoption metrics, value realization reviews, variance narratives, and intervention recommendations
- Stakeholder segmentation, resistance patterns, change impact, communication drafts, training support, transparency, privacy, trust, and responsible adoption
Day 5 — AI Capstone
- Responsible AI principles, accountability, explainability, bias, privacy, security, professional judgment, leadership communication, and stakeholder confidence
- Integrated AI capstone simulation covering AI business analysis, project planning, agile automation, program strategy, change, and leadership decisions
- Simulation debrief, quality review, E²PAI exam orientation, prompt library review, readiness checklist, and certification next steps
Public cohorts
Upcoming sessions
Secure your seat in a live, instructor-led cohort. Private team deliveries available on request.
No public cohorts on the calendar yet.
We run this course as a private team cohort on demand, or you can be the first to know when the next public date drops.
Frequently asked questions
Still have questions?
How is E²PAI different from E²P?
Do participants need to be technical?
What do participants leave with?
How many PMI PDUs does this bootcamp provide?
Can this be delivered privately?
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Bring this training to your team
We deliver private cohorts in-person and online, tailored to your operating context.