This course focuses on technical, business and regulatory aspects of Internet of Things (IoT), Big Data and Artificial Intelligence (AI). It covers Internet technologies for IoT, then IoT standards, architectures and interoperability, as well as IoT policies and regulations, including IoT security and privacy issues. The course includes IoT services in 4G and 5G mobile systems, including massive IoT and critical IoT use cases. The IoT generates large amounts of data that cannot be processed by traditional techniques, and such data is referred to as Big Data. In that manner, the course includes Big Data overview, Big Data ecosystem and reference architecture, Big Data technologies and use cases, as well as business and regulatory challenges for Big Data. Artificial Intelligence (AI) is targeted for processing Big Data in Internet and telecom networks. In that regard the course covers introduction to AI in ICT/telecom world, and AI applications in Internet and telecom environments, including Machine Learning aspects for 5G mobile networks. The course further includes Big Data and AI challenges, business aspects, as well as policies and regulation. Finally, the course covers governance of IoT, Big Data, and AI.
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UN-Habitat
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Digital Governance for inclusive and sustainable African cities
Recent technological advances with emerging technologies like Artificial intelligence, Big data, the Internet of Things, Mobile banking, and many others offer multiple opportunities to optimize the governance of cities and territories in Africa. In a context of rapid urban transformation, digital governance then emerges as a key element to promote Digital Inclusion, Transparency, Accountability, and Public Participation in urban management while building more Safe, Resilient and Inclusive African cities. Through Case Studies, Experience Sharing, Expert Testimonies, and Learning Materials, this MOOC aims to equip participants with tools to transform urban systems through digital-based solutions for more Resilient, Inclusive and Sustainable African Cities.
Short (a few hours)
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Digital Transformation
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SDG 11: Sustainable Cities & Communities
UNICEF
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Presenting Data Visually
Presenting data visually is an effective way of conveying key information, making it an important component of good communication. This module examines how IMOs can turn data into easy-to-interpret information using visualizations. These can be added to information products such as dashboards, presentations, and newsletters to improve the way information is conveyed.
Short (a few hours)
Online
Data Innovation
Communications & Knowledge Sharing
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UN - 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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All
UN Global Pulse
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UN Global Pulse Accelerator Programme
The UN Global Pulse Accelerator is the United Nations’ programme for turning promising innovative solutions into real-world impact at scale. Selected teams can expect an intensive, hands-on experience designed to turn high-potential ideas into real-world results. Through an expert-led workshop, cross-agency collaboration, and tailored technical support, teams will build concrete, realistic strategies to scale their solutions The Accelerator welcomes UN-led teams with piloted solutions through an annual call for applications, with a thematic focus that evolves each cycle to reflect emerging priorities across the UN system.
Long (a few weeks)
Hybrid
Innovation Scaling
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All
Join the UN Innovation Network
Thanks for your interest in joining the UN Innovation Network (UNIN). UNIN is a network for UN employees interest in innovation; we welcome non-UN colleagues in an observer role.
To get to know our members, their skills and expertise better, we would like to ask you a few questions about your work and interests. Please complete this form to reflect your own experiences and interests, not those of your team or organisation.
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