Claude AI in Project Planning Scheduling & Cost Controlling

“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 learnWrite engineering-grade prompts that get usable, correctly-structured controls output first timeGive Claude data properly, iterate on weak answers, and build a reusable prompt libraryDraft and stress-test scope, WBS and estimates — and produce a defensible basis-of-estimateTurn scope into activities, interrogate schedule logic and float, and write clear schedule narrativesModel budgets, cash flow and S-curves; build risk registers; and frame qualitative and quantitative riskRun full Earned Value analysis (CV, SV, CPI, SPI), forecast EAC/ETC/TCPI, and write honest dashboard commentaryProduce faster status reports, executive summaries, emails, minutes, and contract/change correspondenceReview and interrogate long documents and contracts, and capture lessons-learned at close-outBuild simple AI "mini-tools," connect Claude to your P6/MSP/Excel/Drive data, and set up team workflowsApply AI governance, quality control and a human-in-the-loop checklist so AI use stays safe and accountableCourse outcomes — what you'll be able to doBy 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-outCut the time spent on reports, narratives, registers and correspondence, while raising their quality and consistencyCatch and correct AI errors reliably, knowing exactly which outputs to trust and which to verify hardStandardise your team's AI use with shared prompts, house-style instructions and clear governanceWalk away with a personal, reusable AI-assisted workflow and prompt library tailored to project controlsCourse structure (9 modules · 40 lessons)Foundations — what AI can and can't do in controls, and how to use it responsiblyPrompting for Project Controls — engineering-grade prompts, giving data, iterating, your prompt libraryScope, WBS Estimating — scope statements, WBS generation and stress-testing, estimating and basis-of-estimateScheduling — activities, CPM and float, schedule health, acceleration, narrativesCost, Cash Flow Risk — budgets and phasing, cash flow and S-curves, risk registers, qualitative and quantitative riskEVM, Progress Forecasting — earned value, EAC/ETC/TCPI, progress and recovery, dashboard commentaryReporting, Communication Documents — status reports, emails and minutes, contracts and change, long-document review, lessons-learnedAutomation, Integration Governance — mini-tools, connecting your data, team workflows, governance and QCCapstone — running the full end-to-end cycle, plus a team AI-maturity roadmapENROL TODAYAI 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.