“This course contains the use of artificial intelligence.”

Claude AI in Project Planning Scheduling & Cost Controlling

You already know project controls. This course shows you how to do it faster and sharper, with Claude AI working alongside you — drafting, structuring, calculating, explaining and checking — while professional judgement and accountability stay firmly in your hands.

Most "AI for professionals" courses stop at generic tips. This one is built specifically for the controls workflow. Across 40 practical lessons in 9 modules, you'll move through the entire cycle on a realistic infrastructure project: writing engineering-grade prompts; building and stress-testing scope, WBS and estimates; producing schedules and clear schedule narratives; modelling cost, cash flow and risk; running Earned Value analysis and defensible forecasts; and generating status reports, executive summaries, contract and change correspondence, and lessons-learned — then automating the repetitive parts and governing AI use across a team.

Every lesson follows the same rhythm: the underlying controls principle first, then exactly how to get Claude to do it well, then how to verify the output before you rely on it. You'll see the prompts, the expected results, and the traps — so you're never copying blindly.

This is a hands-on, professional course, not exam prep. Three principles run through all 40 lessons:

Augmentation, not automation — Claude does the heavy lifting; you make the decisions.
Your tools remain the source of truth — the scheduler, the cost system and the signed contract are authoritative; Claude works on copies and drafts.
Verify by consequence — you check outputs in proportion to the risk they carry before acting on them.

You finish with a repeatable, AI-assisted controls workflow — a personal prompt library, a set of mini-tools, and the judgement to use them safely — that you can put to work immediately.

What you'll learn

Write engineering-grade prompts that get usable, correctly-structured controls output first time
Give Claude data properly, iterate on weak answers, and build a reusable prompt library
Draft and stress-test scope, WBS and estimates — and produce a defensible basis-of-estimate
Turn scope into activities, interrogate schedule logic and float, and write clear schedule narratives
Model budgets, cash flow and S-curves; build risk registers; and frame qualitative and quantitative risk
Run full Earned Value analysis (CV, SV, CPI, SPI), forecast EAC/ETC/TCPI, and write honest dashboard commentary
Produce faster status reports, executive summaries, emails, minutes, and contract/change correspondence
Review and interrogate long documents and contracts, and capture lessons-learned at close-out
Build simple AI "mini-tools," connect Claude to your P6/MSP/Excel/Drive data, and set up team workflows
Apply AI governance, quality control and a human-in-the-loop checklist so AI use stays safe and accountable

Course outcomes — what you'll be able to do

By the end, you will be able to:

Run an end-to-end controls cycle on a real project with Claude as your assistant — scope through close-out
Cut the time spent on reports, narratives, registers and correspondence, while raising their quality and consistency
Catch and correct AI errors reliably, knowing exactly which outputs to trust and which to verify hard
Standardise your team's AI use with shared prompts, house-style instructions and clear governance
Walk away with a personal, reusable AI-assisted workflow and prompt library tailored to project controls

Course structure (9 modules · 40 lessons)

Foundations — what AI can and can't do in controls, and how to use it responsibly
Prompting for Project Controls — engineering-grade prompts, giving data, iterating, your prompt library
Scope, WBS & Estimating — scope statements, WBS generation and stress-testing, estimating and basis-of-estimate
Scheduling — activities, CPM and float, schedule health, acceleration, narratives
Cost, Cash Flow & Risk — budgets and phasing, cash flow and S-curves, risk registers, qualitative and quantitative risk
EVM, Progress & Forecasting — earned value, EAC/ETC/TCPI, progress and recovery, dashboard commentary
Reporting, Communication & Documents — status reports, emails and minutes, contracts and change, long-document review, lessons-learned
Automation, Integration & Governance — mini-tools, connecting your data, team workflows, governance and QC
Capstone — running the full end-to-end cycle, plus a team AI-maturity roadmap

ENROL TODAY

AI is rapidly changing project delivery.

The professionals who understand how to use these tools effectively will gain a substantial advantage in productivity, reporting quality, and project delivery efficiency.

Start building your AI-powered project workflow today and begin applying practical project management prompts immediately.