This module aims to build the ability of an Information Management Officer (IMO) to analyse data. It explores the steps involved in data analysis, creating data analysis plans, organizing and summarizing data, and understanding linkages between clusters.

Artificial Intelligence is no longer evolving in isolation. Across the world of work, AI is increasingly interacting with robotics, extended realities, distributed ledgers, neurotechnologies, geodata, cybersecurity, biotechnology, and other emerging fields. AI+ explores the combined effect of these technologies on skills, labour markets, enterprises, policy, and learning. The event will bring together the ITCILO community and key labour market stakeholders to examine how these technological intersections are already reshaping the near future of work.

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

A collaborative effort of UNDP’s Sustainable Finance, Climate and Energy teams, Introduction to Sustainable Finance for Climate and Energy is the first free online course to introduce critical concepts in climate and energy finance to a global audience. This course provides learners with concrete tools for financing climate and energy targets, including sovereign debt instruments (green bonds, blue bonds, debt-for-nature swaps), carbon markets, and innovative private finance solutions – underpinned by Integrated National Financing Frameworks (INFFs). The course also provides a foundation for measuring impact on climate and energy targets (IMM), and for de-risking sustainable investments in climate and energy.