I just earned my certification for “𝗔𝗻 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝘁𝗼 𝗛𝗼𝘄 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗪𝗶𝗹𝗹 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲,” and the scale of the challenge—and the 𝗼𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝘆—𝗶𝘀 𝘀𝘁𝗮𝗴𝗴𝗲𝗿𝗶𝗻𝗴.

When I talk to organisations about building their own generative AI learning modules in their Learning and Development plans, I usually suggest creating custom modules tailored to their specific industry, job roles, and tech stack. The recommendation is always to fill with real-world use cases specific to their organisation and different departments where it will be deployed.

There are courses and there are great courses. There are lots of courses on AI Ethics and Governance that tell you why it’s essential, but few that show you how to get started with practical Steps. This e-learning course on ‘Compliance and regulations for generative AI’ stands out for just that. There are many practical steps that practitioners in organisations can take away.

In today’s AI-driven landscape, the role of an AI ethics and governance lead/advisor to both AI service providers and organisations deploying these solutions is more vital than ever.

In the world of AI agents, we’re seeing a fascinating split: some leaders hail them as transformative, while others call them overhyped or prone to failure in real-world scenarios. Let’s break it down.