Artificial intelligence is rapidly transforming how institutions, governments, and organizations operate. This course equips professionals with the essential understanding and practical tools needed to lead digital transformation responsibly and effectively. It provides a bridge between technical concepts and real-world policy applications, enabling decision-makers to use AI for improved governance, foresight, and institutional performance.

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Generative AI and Ethics - The Urgency of Now

The amazing potential and opportunity of Generative AI has also brought ethical concerns. How can you address these concerns effectively as you deploy tools and products powered by generative AI? In this course, expert Vilas Dhar equips designers and decision makers to better understand and act on the emerging ethical risks and considerations of generative artificial intelligence. Get a solid introduction to the ethical concerns around generative AI, then learn how to use a framework of ethical analysis to address these concerns. Plus, explore ways you can prepare your organization to address ethics in AI across all stakeholders from technology to C-Suite leaders.
Short (a few hours)
Generative AI
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UNDP
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Digital Fitness Programme

The Digital Fitness Programme (DFP) is a hands-on digital product design and management training for talented Operations and Programme Managers aiming to built and roll out digital solutions.
Medium (a few days)
In-person
Digital Transformation
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Other
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Google Cloud Generative AI Training Resources

Basic training sessions on AI/ML and GAI. Generative AI falls under the overall category of AI and offers a new and exciting way of interacting with information, brands, and other people. Let’s talk about how these disciplines work together and about materials available to help you upskill in these areas. Google is happy to announce a new set of generative AI training content available at no cost. So, whether you are just getting started or already have a more advanced role, read on to find ways to help reach your desired position.
Long (a few weeks)
Artificial Intelligence & Machine Learning
Generative AI
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Other
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Generative AI with Large Language Models

By taking this course, you'll learn to: - Deeply understand generative AI, describing the key steps in a typical LLM-based generative AI lifecycle, from data gathering and model selection, to performance evaluation and deployment - Describe in detail the transformer architecture that powers LLMs, how they’re trained, and how fine-tuning enables LLMs to be adapted to a variety of specific use cases - Use empirical scaling laws to optimize the model's objective function across dataset size, compute budget, and inference requirements - Apply state-of-the art training, tuning, inference, tools, and deployment methods to maximize the performance of models within the specific constraints of your project - Discuss the challenges and opportunities that generative AI creates for businesses after hearing stories from industry researchers and practitioners
Medium (a few days)
Online
Generative AI
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