(PMI-SP)® PMI Scheduling Professional Exam Prep- Video+Exams

Explore how a data-driven scheduling engine transforms raw project data into a living schedule model, aligning agile practices like Scrum and Kanban with delivering tangible value.

Establish a robust schedule governance plan that integrates scope, risk, resources, and contracts, safeguards data, and uses KPIs and EVM to drive proactive project control.

Explore project lifecycles, phase gates, and development approaches, including predictive, adaptive, and hybrid models, to tailor schedules to uncertainty and protect investments.

Define the mission before scheduling to align strategy, tactics, and logistics. Use generation and selection thinking, objective criteria, paired comparison matrix, and SWOT validation to produce a validated project schedule.

Explore dual-phase risk analysis, distinguishing risks from threats, to plan resilient schedules. Apply four risk responses—mitigate, avoid, transfer, accommodate—plus neutralization and stakeholder dynamics for strategic project delivery.

Explore the anatomy of scheduling components across four shelves—the core engine, reality check, variables, and miscellany—and apply eight-attribute definitions to build a mature, compliant CPM schedule.

Explore the detailed components catalog for scheduling, including actuals, calendars, activity codes, cost data, risk metrics, and CPM logic to master project timelines.

Explore the detailed project scheduling component catalog and its vertical traceability from field tasks to executive reporting. Harness WBSID, LOE, and level 0–5 granularity for auditable planning.

Master the six scope management processes to define, validate, and control project boundaries, connect work to value via a value breakdown structure, and protect the schedule and budget.

Translate high-level scope into a precise work breakdown structure to form an integrated baseline linking responsibility, cost, and schedule, while guarding against gold-plating.

Translate identified scope into measurable work packages using a WBS dictionary and four pillars. Integrate technical, schedule, and cost baselines into the PMB, and apply a dual reservoir budget.

Analyze schedule planning fundamentals, focusing on critical path and slack, schedule compression through fast tracking and crashing, and resource leveling with float. Visualize progress with Gantt charts and milestones.

Learn to build realistic schedules and budgets from a detailed WBS, six pillars of resource assessment, and data-triangulated estimates.

Explore advanced estimating and budget determination, including top-down and bottom-up approaches, analogous and parametric modeling, vendor bids, PERT, and contingency and management reserves to protect the baseline.

Learn to build a network schedule by transforming the WBS work into a timeline, and master forward and backward passes to identify the critical path, floats, and compression.

Analyze schedule risk using PERT and Monte Carlo simulations to model volatility across the critical path. Negotiate resources and manage networked schedules with confidence intervals, standard deviation, and merge-bias awareness.

Maintain accurate schedules by implementing a disciplined maintenance loop: baseline the model, capture the data date, recalculate forecasts, and manage deviations with strict change control.

Explore activating the project blueprint in the implementation phase, balancing action, monitoring, and control with control accounts, work orders, and a formal monitoring ecosystem.

Master the implementation phase by controlling baselines, diagnosing cost and schedule variances, managing scope changes through a formal CCB process, and executing a continuous risk management lifecycle.

Forecast project costs with EAC, VAC, TCPI, and SPI, and protect baselines by applying the 50-50 rule plus standardized EVM reporting to diagnose root causes and guide corrective actions.

Enforce a formal change control framework to protect the project baseline, triage risk, and predefine back-out parameters through structured gates, change roles, and validation.

Protect the project baseline through formal change control, variance analysis, and a structured WBS. Use contractual and internal processes with a CCB to manage scope, cost, and schedule.

Master earned value management to monitor cost, schedule, scope, and performance in real-time, compute variances, and apply corrective actions using integrated telemetry and EVA metrics.

Monitor telemetric data against a live baseline using PV, EV, and AC; apply four options (ignore, corrective action, change plan, cancel) and the 15% axiom to act decisively.

Master schedule monitoring and project reviews across status, design, and process lenses, using earned value integration, rag indicators, and a safe, non-judgmental feedback framework to drive continuous improvement.

Master earned value management by using the PV, AC, EV trinity to monitor cost and schedule. Learn fixed formulas, precision tools, and earned schedule to forecast true project health.

Learn to diagnose and forecast project health with earned value analysis using SPI, CPI, PV, EV, AC, and BAC, and apply simple versus complex EAC methods for proactive control.

Learn schedule closeout strategies by implementing a six-step process across three pillars: scope verification, contract closeout, and administrative closure, securing internal and external acceptance for a clean handover.

Transform project closeout into a continuous, data-driven practice with iterative closeout and bottom-up usability analysis. Archive by work breakdown structure alignment and use real-time metrics to feed a repeatability engine.

Identify and translate fuzzy customer needs into clear, codified requirements. Explain the translation gap, the three archetypes—functional, non-functional, hidden—and how SOW frameworks—design, level of effort, performance-based—protect scope and acceptance criteria.

Explore extraction and traceability in domain 5, mapping SOW requirements to the WBS via a four-step process: strategic filter, constraint check, document parsing, and traceability mapping using a cross-referencing matrix.

Master essential scheduling terminology and their real-world interactions, from decomposition and data tags to CPM-based critical path, float, and earned value metrics.