AI for Business Leaders

Lesson 1: Introduction to Machine Learning and AI for Business Learn what AI and ML can do for your business, how to spot good use cases, and how to talk confidently about these technologies with your team. 

Lesson 2: Demystifying ML Models Learn how machine learning drives business value, how to evaluate models, avoid common pitfalls, and align ML solutions with real business goals. 

Lesson 3: Implementing ML and AI in the Real World Learn what it takes to turn AI ideas into business impact, including data readiness, ethics, system choices, risks, and the practical steps to implement and scale AI successfully. 

Lesson 4: Scaling and Leading with Machine Learning and AI Move from individual projects to a strategic AI vision. Learn how to build roadmaps, align stakeholders, and lead responsibly at scale. 

Lesson 1: Introduction to Generative AI This lesson provides the foundational knowledge needed about generative AI, from contextualising GenAI within AI to the processes and models used in GenAI systems, as well as key use cases and benefits. 

Lesson 2: How to Think about Generative AI from a Business Perspective 

Lesson 3: Launching Generative AI for Your Business Identify business areas that could be improved, create a roadmap for GenAI projects, and identify the core components required to put GenAI into practice. 

Lesson 4: Ensuring You Have the Right Human Capital for GenAI Adoption Explore key stakeholders, roles and responsibilities, and organisational models needed to support generative AI adoption. 

Lesson 5: Process to Ready the Business for Generative AI Examine key elements of a GenAI strategy, responsible AI, risk assessments for GenAI projects, and the development and management process. 

Lesson 6: Platforms to Ready the Business for Generative AI Cover AI and ML architectures that support GenAI solutions, the specific needs of GenAI projects, the significance of data, and the partners involved at each stage. 

Lesson 7: Optional Webinar Generative AI: Savior or Saboteur of the Digital Workforce? 

Lesson 1: Course Overview This course bridges the gap between technical reality and business decisions, helping leaders make sense of agentic AI without needing to write code. 

Lesson 2: Agentic AI Learn how agentic AI systems think, act, and collaborate, and how they differ from chatbots and traditional automation. 

Lesson 3: Is Your Organization Ready? Identify hidden AI usage, work with imperfect data, and fund experimentation responsibly. 

Lesson 4: Technical Essentials You Need (Minus the Coding) Understand concepts such as hallucinations, tokens, guardrails, MCP and RAG, and learn how to spot real opportunities versus costly mistakes. 

Lesson 5: Spotting the Right Problems for Agentic AI Explore where agents perform well, where they fail, and how to choose use cases wisely. 

Lesson 6: Evaluating Solutions and Talking Tech Learn how to decode vendor claims, identify “agent washing,” and decide whether to build, buy or partner. 

Lesson 7: Ethics, Governance, and Risk in the Real World Understand how to design systems that fail gracefully, monitor continuously, and maintain human accountability. 

Lesson 8: Your Agentic AI Roadmap Focus on short-term wins, practical experimentation, and building momentum through delivery.