About This Course
Artificial Intelligence is no longer just a technology—it is becoming a core part of products, decisions, and business strategy. But as we adopt LLMs, chatbots, and prediction systems, we face new risks: bias, hallucination, security threats, legal exposure, and loss of control. Al success is no longer only about building models-it's about governance, maturity, ethics, and compliance.
This course gives leaders, Al/ML engineers, and managers a practical roadmap to build Al systems that are accurate, responsible, and future-ready. We will cover how LLMs work, where they fail, how to assess organizational readiness using the AIRI framework, how to meet regulations like the EU AI Act, and how to manage Al risk across the lifecycle. Finally, we prepare for what's next—AGI, disruption, and the future of Al in society.
Al is as revolutionary as the PC, the internet, and mobile phones — all combined. - Bill gates, cofounder and ex-CEO of Microsoft.
"Al won't replace humans, but humans using Al will." — Fei-Fei Li, Sequoia Professor at Stanford University, Ex-Chief Scientist of AI/ML at Google Cloud
Learning Objectives
Upon completing this course, you will be able to:
- Understand how LLMs work and where they fail (hallucination, bias, knowledge limits).
- Recognize technical, ethical, and security risks in Al applications.
- Assess organizational Al maturity using the AIRI framework and identify gaps.
- Navigate key Al regulations for your work implementation
- Manage Al risk across the lifecycle (testing, deployment, monitoring, accountability).
- Anticipate the future impact of Al and AGI on business, workforce, and society.
Prerequisites
No prior technical knowledge is required
Target Audience
- Al/ML Engineers & Data Scientists - who build and integrate Al models and need to ensure technical accuracy, fairness, and safety.
- Al / Product / Project / Program Managers - who plan, deploy, and oversee Al initiatives and must balance business value, risk, and governance.
- Technology & Business Leaders / Managers - who set Al strategy, allocate resources, ensure compliance, and drive organizational readiness for responsible Al adoption.
- Anyone who is interested in understanding how to build responsible, compliant, and future-ready Al systems.
Training Outline
- LLM & Al Fundamentals for Decision Makers
- Al Risks, Ethics & Real-World Failures
- Al Maturity & Organizational Readiness
- Regulation & Compliance
- Managing Al Risk Across the Lifecycle
- Future of AI