Generative AI for Growth Optimization and Strategy

Build a governed AI growth system for pipeline, forecasting, expansion, retention, sales guidance, and decisions.
What you'll learn

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Connect AI use cases to revenue decisions, baselines, KPIs, and guardrails.
Improve opportunity prioritization, deal inspection, next-best actions, and pipeline quality.
Combine predictive signals and human judgment for forecasts, ranges, scenarios, and strategic plans.
Identify responsible account expansion hypotheses and diagnose churn drivers.
Generate sales content and guidance with source, brand, privacy, and approval controls.
Build an AI operating model, executive decision memo, and balanced ROI dashboard.
Pilot one end-to-end workflow and make a scale, revise, or stop recommendation.
Requirements

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No coding or machine-learning background is required.
Bring a business process, customer journey, sales pipeline, or growth challenge for practice.
Use only approved, non-sensitive data in AI tools.
Description

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This course contains the use of artificial intelligence.
Move beyond disconnected prompts and isolated AI experiments. This practical, all-levels course shows you how to design a complete revenue decision system in which predictive signals, generative outputs, human judgment, workflow actions, and measurable outcomes reinforce one another.
You will work through Northstar Cloud, a realistic B2B SaaS case, and build reusable artefacts for opportunity scoring, deal inspection, pipeline quality, forecasting ranges, growth scenarios, account expansion, churn prevention, grounded content, intelligent seller guidance, executive decision memos, governance, and ROI measurement.
The course is tool-neutral and requires no coding. Each section connects a business decision to approved evidence, an accountable owner, a human review gate, a measurable value indicator, and a risk guardrail. You will learn how to distinguish predictive signals from causal conclusions, communicate uncertainty, and avoid false precision.
You will also design responsible workflows for personalized content, next-best actions, renewal interventions, and executive planning. Practical assignments help you turn the concepts into an operating package that can be reviewed, piloted, measured, and improved.
Generative AI is used transparently in the production workflow. All instructional claims, examples, and outputs are reviewed by the instructor. Learners are taught to protect sensitive data, verify sources, preserve human accountability, document assumptions, monitor risk, and comply with applicable policies and law.
Who this course is for

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Sales, customer-success, account-management, RevOps, growth, marketing, product, strategy, finance, analytics, consulting, entrepreneurship, and leadership learners at any experience level.
Homepage

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