---
title: "Project Controls in the AI Era — free course"
description: "Plan, measure, forecast and control projects with earned value, Monte Carlo risk analysis and governed AI"
url: https://optimizeall.com/learn/project-controls-with-ai
updated: 2026-10-05
---

Business · Advanced · 541 minutes · free · updated Sep 2026

# Project Controls in the AI Era

Plan, measure, forecast and control projects with earned value, Monte Carlo risk analysis and governed AI

- **Lessons:** 22 in 6 modules
- **Video lectures:** 22 lectures, 182 minutes
- **Updated:** Sep 2026

## Tools you'll use

- Primavera P6
- Microsoft Project
- Microsoft Excel
- Power BI
- Python
- pandas
- NumPy
- Jupyter
- @RISK
- Safran Risk
- Deltek Acumen Risk
- Microsoft 365 Copilot

[Start the course](https://optimizeall.com/learn/project-controls-with-ai/the-control-cycle)

## About this course

A practitioner-level course on the full project controls cycle: work breakdown structures, critical path scheduling, resource levelling, cost engineering and estimating, cost control, earned value management (EV, PV, AC, CPI, SPI), forecasting with EAC, ETC, TCPI and earned schedule, cash flow, risk registers and Monte Carlo schedule risk analysis, change control, and reporting that drives decisions. Every lesson has a narrated lecture with two worked examples and a step-by-step walkthrough, plus hands-on Excel formulas, Python (pandas and NumPy) notebooks, report templates and prompt templates. The final module shows how AI can assist forecasting, anomaly detection and reporting, and how to govern it with human review, audit trails and data quality controls.

Preparing for PCI AI's PCL-AI (Project Controls Leader) credential? This course builds the foundations; see pciai.org for official exam details. Certuvo (certuvo.com) offers exam preparation for PCL-AI, PFL-AI and PML-AI. This course is independent and is not official PCI AI content.

## What you will learn

- Build a deliverable-based WBS, control accounts and an integrated performance measurement baseline
- Calculate critical path, float and resource-levelled schedules from quantities and productivity
- Calculate and interpret CV, SV, CPI, SPI, EAC, ETC, VAC, TCPI and earned schedule in Excel and Python
- Produce defensible cost and schedule forecasts and challenge optimistic ones
- Run a risk register, build and interpret a Monte Carlo schedule risk model (P50/P80) and operate change control
- Design decision-focused reports and dashboards on reconciled, governed data
- Apply AI to forecasting, anomaly detection and reporting with risk-tiered human review and audit trails

## Course content

### Foundations of project controls

What project controls is, how the control cycle works, and how scope, schedule and cost baselines are built from a solid WBS and critical path.

- [What project controls really is](https://optimizeall.com/learn/project-controls-with-ai/the-control-cycle): 12 min
- [Work breakdown structures and the integrated baseline](https://optimizeall.com/learn/project-controls-with-ai/wbs-and-baselines): 14 min
- [Scheduling and the critical path](https://optimizeall.com/learn/project-controls-with-ai/scheduling-and-critical-path): 16 min
- [Resource loading, levelling and schedule maintenance](https://optimizeall.com/learn/project-controls-with-ai/resources-and-schedule-maintenance): 14 min

### Cost control and earned value management

Build a cost baseline, manage commitments and actuals, and use earned value management to measure cost and schedule performance objectively.

- [Cost engineering: estimating methods and estimate classes](https://optimizeall.com/learn/project-controls-with-ai/cost-engineering-and-estimating): 15 min
- [Budgets, commitments and cost control](https://optimizeall.com/learn/project-controls-with-ai/cost-baseline-and-control): 13 min
- [Earned value management: the core metrics](https://optimizeall.com/learn/project-controls-with-ai/earned-value-fundamentals): 16 min
- [Measuring progress objectively](https://optimizeall.com/learn/project-controls-with-ai/measuring-progress): 13 min

### Forecasting cost and schedule outcomes

Turn performance data into honest forecasts using EAC/ETC methods, TCPI, earned schedule and structured forecast reviews.

- [EAC and ETC: forecasting the final cost](https://optimizeall.com/learn/project-controls-with-ai/eac-and-etc-methods): 15 min
- [Schedule forecasting and earned schedule](https://optimizeall.com/learn/project-controls-with-ai/schedule-forecasting-and-earned-schedule): 14 min
- [Running forecast reviews that change decisions](https://optimizeall.com/learn/project-controls-with-ai/forecast-reviews): 12 min
- [Cash flow forecasting and the link to project finance](https://optimizeall.com/learn/project-controls-with-ai/cash-flow-and-funding): 13 min

### Risk management, Monte Carlo and change control

Write actionable risk registers, build and interpret Monte Carlo schedule risk models in Python and Excel, and operate change control that keeps the baseline honest.

- [Risk registers that drive action](https://optimizeall.com/learn/project-controls-with-ai/risk-registers): 13 min
- [Quantitative risk analysis and Monte Carlo simulation](https://optimizeall.com/learn/project-controls-with-ai/monte-carlo-and-quantitative-risk): 16 min
- [Lab: an EVM and Monte Carlo notebook in Python](https://optimizeall.com/learn/project-controls-with-ai/evm-and-monte-carlo-python-lab): 25 min
- [Change control and baseline management](https://optimizeall.com/learn/project-controls-with-ai/change-control): 12 min

### Reporting, dashboards and data foundations

Design reports and dashboards that drive decisions, and build the data foundations that make controls, and AI, trustworthy.

- [Reports and dashboards that drive decisions](https://optimizeall.com/learn/project-controls-with-ai/reports-that-drive-decisions): 13 min
- [Data foundations: integration, quality and tools](https://optimizeall.com/learn/project-controls-with-ai/data-foundations): 13 min
- [Performance analysis in practice: a full monthly cycle](https://optimizeall.com/learn/project-controls-with-ai/performance-analysis-in-practice): 14 min

### AI in project controls: use cases and governance

Apply AI to forecasting, risk and reporting responsibly, with human review, audit trails, data quality and a practical adoption roadmap.

- [Where AI adds value in project controls](https://optimizeall.com/learn/project-controls-with-ai/ai-use-cases): 14 min
- [Governing AI: human review, audit trails and data quality](https://optimizeall.com/learn/project-controls-with-ai/ai-governance): 15 min
- [An AI adoption roadmap for controls teams](https://optimizeall.com/learn/project-controls-with-ai/ai-adoption-roadmap): 12 min

## Certificate: Project Controls in the AI Era

The holder has demonstrated applied knowledge of project controls: WBS and baselines, critical path scheduling, cost engineering, earned value management, EAC/ETC and earned schedule forecasting, risk registers and Monte Carlo interpretation, change control, decision-focused reporting and the governed use of AI with human review and audit trails.

- **Final assessment:** 25 questions, 45 minutes
- **Passing score:** 80%