AI for Market Analysis & Business Strategy

What you'll learn

Explain core AI/ML/NLP concepts and how they support market analysis and strategy
Evaluate and choose AI platforms for dashboards, social listening, NLP, and competitive intelligence
Enhance SWOT, PESTEL, and Porter's Five Forces with real-time AI-driven insights
Apply predictive analytics and leading indicators to forecast demand, trends, and market shifts
Build an AI-driven market strategy roadmap with KPIs, governance, and responsible AI guardrails

Requirements

There are no prerequisites for this course

Description

Imagine being able to spotcustomer trends,competitor moves, andpricing shifts in near real time—and turning them into confident strategic decisions before the market moves on. That's the edge AI is starting to give modern teams.
Consider a few signals from the market right now
• McKinsey reports that60%+ of high-performing companies already use AI in strategic decision-making.
• Gartner reports nearly80%of marketing leaders plan to adopt AI tools for insight generation in the next two years.
• By 2030, Gartner expects70% of strategic decisions to be informed by AI copilots.
The challenge is that most professionals aren't sure where to start. Tools feel overwhelming, buzzwords are confusing, and "AI strategy" often turns into dashboards that don't change decisions.
This course bridges that gap. You'll learn how to use AI-assisted market analysis to produceclearer insights, faster planning cycles, and stronger strategy—without needing to become a data scientist.
In this course, you'll learn how to
• Understand AI, machine learning, NLP, and analytics (in plain English) and how they apply to market strategy
• Choose the right tools for the job: Power BI/Tableau, competitive intelligence (e.g., Similarweb/Crayon), social listening (e.g., Brandwatch/Talkwalker), and NLP feedback analysis
• Integrate AI insights into classic strategy frameworks: SWOT, PESTEL, and Porter's Five Forces
• Use predictive analytics to forecast demand and trends, using leading indicators—not just historical reports
• Learn from a real-world case study: how Yum! Brands used AI to scale personalization and improve marketing performance
• Apply responsible AI practices: bias awareness, privacy, transparency, and accountability
• Build an AI-driven market strategy plan with a roadmap, stakeholders, budget phases, and KPIs that prove ROI
• Prepare for what's next (foundation models, multimodal AI, real-time analytics, and agentic AI)
By the end, you'll have a practical playbook for turning AI-powered insights into decisions your team can execute—while staying ethical, measurable, and future-ready.

Who this course is for

Marketing managers and growth marketers who want better targeting and insights
Strategy and corporate development professionals building market/competitive plans
Market research and consumer insights analysts working with large data sources
Product managers and product marketing teams shaping positioning and roadmaps
Business analysts and BI professionals who want to add AI-assisted insight workflows
Founders and small-business owners who need practical market intelligence faster
Consultants advising clients on go-to-market, segmentation, and competitive strategy
Operations and revenue leaders who rely on forecasting and scenario planning

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