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AI Readiness Course
AI Readiness Sprint
A 10-day, self-paced, hands-on programme for startups and SMEs
Most small businesses already use some AI. Few can say what it has done for them. AI Readiness Sprint closes that gap. In ten working days, you go from raw business data to a costed, governed 90-day AI roadmap for your own organization.
Each day pairs one proven analytical method with the market developments that make it matter now. You then apply it in a guided lab on realistic business data, and again in an exercise on your own company. There are no tests or exams. Every day ends with a practical deliverable you can use straight away.
Who it’s for
Founders, managers, consultants and analysts in startups and small and medium-sized businesses who want to make sound, practical decisions about AI and related technologies. No prior programming experience is required. The labs give you every step, and you learn by running them and reading the results.
What you will learn
Day 1: Customer segmentation with machine learning
Day 2: Finding what really drives behaviour, and reading customer text at scale with embeddings
Day 3: Detecting fraud and anomalies without labelled data
Day 4: Demand forecasting and setting stock buffers
Day 5: Market basket analysis and RFM customer targeting
Day 6: Reinforcement learning for A/B testing and inventory decisions
Day 7: Assessing whether your data is ready for AI, plus 2026 governance and regulation
Day 8: Distributed data systems, and whether you actually need one
Day 9: Organising your data, and safely letting staff query it in plain English with AI
Day 10: Building an end-to-end AI pipeline with Apache Spark, and your 90-day AI roadmap
What’s included
A 48-page course book (PDF) with diagrams, charts, case studies and workplace exercises
10 ready-to-run lab notebooks, attached inside the PDF, each showing the results you should expect
A running case study of one company, followed through all ten days
Ten workplace deliverables that build into your final roadmap
Market updates current to November 2026: AI agents, forecasting models that work without training on your data, robotics and automation, and the EU and Singapore AI rules
AI Readiness Sprint
A 10-day, self-paced, hands-on programme for startups and SMEs
Most small businesses already use some AI. Few can say what it has done for them. AI Readiness Sprint closes that gap. In ten working days, you go from raw business data to a costed, governed 90-day AI roadmap for your own organization.
Each day pairs one proven analytical method with the market developments that make it matter now. You then apply it in a guided lab on realistic business data, and again in an exercise on your own company. There are no tests or exams. Every day ends with a practical deliverable you can use straight away.
Who it’s for
Founders, managers, consultants and analysts in startups and small and medium-sized businesses who want to make sound, practical decisions about AI and related technologies. No prior programming experience is required. The labs give you every step, and you learn by running them and reading the results.
What you will learn
Day 1: Customer segmentation with machine learning
Day 2: Finding what really drives behaviour, and reading customer text at scale with embeddings
Day 3: Detecting fraud and anomalies without labelled data
Day 4: Demand forecasting and setting stock buffers
Day 5: Market basket analysis and RFM customer targeting
Day 6: Reinforcement learning for A/B testing and inventory decisions
Day 7: Assessing whether your data is ready for AI, plus 2026 governance and regulation
Day 8: Distributed data systems, and whether you actually need one
Day 9: Organising your data, and safely letting staff query it in plain English with AI
Day 10: Building an end-to-end AI pipeline with Apache Spark, and your 90-day AI roadmap
What’s included
A 48-page course book (PDF) with diagrams, charts, case studies and workplace exercises
10 ready-to-run lab notebooks, attached inside the PDF, each showing the results you should expect
A running case study of one company, followed through all ten days
Ten workplace deliverables that build into your final roadmap
Market updates current to November 2026: AI agents, forecasting models that work without training on your data, robotics and automation, and the EU and Singapore AI rules