Our AI-Integrated PMBOK® Curriculum

We cover all 5 Process Groups and 49 Processes from the PMBOK® Guide 6th Edition. For each process, we teach you how to integrate AI to enhance efficiency and effectiveness.

Initiating

Develop Project Charter — Use AI to draft and validate a formal project charter.
Identify Stakeholders — Use AI to discover and categorize stakeholders by influence and interest.

Planning

Develop Project Management Plan — AI compiles baselines and subsidiary plans into a coherent master plan.
Plan Scope Management — AI suggests scope policies, templates, and governance rules.
Collect Requirements — AI-assisted surveys and text mining to extract and cluster requirements.
Define Scope — AI summarization to turn requirements into a clear scope statement.
Create WBS — AI suggests decomposition and WBS dictionary entries.
Plan Schedule Management — AI recommends scheduling methods, calendars, and controls.
Define Activities — AI expands WBS into activity lists with attributes.
Sequence Activities — AI proposes logical dependencies and detects cycles.
Estimate Activity Resources — AI recommends resource mixes based on historicals.
Estimate Activity Durations — AI forecasts durations using analogous/parametric models.
Develop Schedule — AI generates draft Gantt/CPM and runs what-if scenarios.
Plan Cost Management — AI structures cost baselines and control thresholds.
Estimate Costs — AI-driven parametric estimates and vendor benchmarks.
Determine Budget — AI consolidates estimates into funding requirements and cash flows.
Plan Quality Management — AI suggests metrics, tolerances, and acceptance criteria.
Plan Human Resource Management — AI defines roles, skills, and RACI matrices.
Plan Communications Management — AI crafts comms matrix and content cadence.
Plan Risk Management — AI tailors risk methodology and thresholds.
Identify Risks — AI scans documents to populate a structured risk register.
Perform Qualitative Risk Analysis — AI prioritizes risks via scoring and heatmaps.
Perform Quantitative Risk Analysis — AI supports Monte Carlo and sensitivity analysis.
Plan Risk Responses — AI suggests response strategies and owners.
Plan Procurement Management — AI performs build/buy analysis and vendor shortlisting.
Plan Stakeholder Management — AI maps influence and proposes engagement strategies.

Executing

Direct and Manage Project Work — AI captures actions, auto-generates minutes, and tracks decisions.
Manage Project Knowledge — AI knowledge base with semantic search and lessons reuse.
Manage Project Teams — AI monitors workload and sentiment; flags bottlenecks.
Develop Project Teams — AI identifies skill gaps and recommends microlearning.
Manage Project Communications — AI drafts status updates and executive summaries.
Conduct Procurements — AI drafts RFPs, scores proposals, and assists negotiations.
Manage Stakeholder Engagement — AI surfaces stakeholder signals and suggests outreach.
Manage Quality — AI-driven checklists and automated quality validations.

Monitoring and Controlling

Monitor and Control Project Work — AI dashboards, KPI alerts, and action prompts.
Perform Integrated Change Control — AI impact analysis and change logging.
Validate Scope — AI compares deliverables with acceptance criteria for sign-offs.
Control Scope — AI flags scope creep from requirement deltas.
Control Schedule — AI predicts slippages and proposes re-sequencing.
Control Costs — AI EVM forecasting and variance insights.
Control Quality — AI detects anomalies and trend shifts in QA data.
Control Resources — AI tracks utilization and predicts shortages.
Monitor Communications — AI measures reach, timeliness, and consistency.
Monitor Risks — AI updates probabilities, triggers reminders, and escalations.
Control Procurements — AI monitors contract performance and compliance.
Monitor Stakeholder Engagement — AI sentiment analysis across channels.

Closing

Close Project or Phase — AI compiles closure reports and lessons learned.
Close Procurements — AI generates closure documents and vendor performance summaries.