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.
More From the Library
ITC
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Introduction to Blockchain for Trade
This course introduces participants to blockchain technology and provides a basic understanding of its main features.
It begins by highlighting the business value of blockchain and the relevance of the technology for international trade.
The lectures then move to explain the difference between blockchain and distributed ledger technology (DLT), defining key use cases for digital identity (ID), supply chain management, transportation / logistics, intellectual property rights, trade facilitation and financial services.
The lectures further examine the opportunities blockchain / DLT may create for small producers and enterprises, especially those located in developing countries.
Finally, the course explores the “blockchain for trade” ecosystem, implementation decision-making tools, regulatory requirements and other challenges that must be addressed before the technology can be used on a wide scale and generate significant impact.
Medium (a few days)
Online
Blockchain
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All
UN-Habitat
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Taking sustainable urban mobility to the next level (Part 1)
This course provides a comprehensive overview of sustainable urban mobility, covering topics such as urban mobility policies, financing strategies, low-carbon mobility solutions, and the role of data, innovation, and technology in enhancing urban mobility.
Short (a few hours)
Online
Digital Transformation
Data Innovation
Innovation in General (incl. HCD)
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SDG 11: Sustainable Cities & Communities
ITU
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Addressing the e-waste challenge through data and statistics
This course aims to provide an overview of the global e-waste challenge, including e-waste statistics and legislation based on the latest data from the Global E-waste Monitor and the Global E-waste Statistics Partnership.
Short (a few hours)
Online
Data Innovation
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SDG 13: Climate Action
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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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.
Thank you! Your submission has been received!
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