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The Applied AI course from Johns Hopkins University will help you build practical skills in applied AI, machine learning, deep learning, and generative AI to extract insights, solve business problems, and deploy real-world solutions.

Designed for tech, data and product professionals looking to build technical expertise in Agentic AI with the Agentic AI course from Johns Hopkins University. Develop the skills to design, build and deploy production-grade autonomous AI Agents and multi-agent systems. Earn a Certificate of Completion from Johns Hopkins University.

The AI-Native Professional - Workflows and Agents for Productivity programme from Great Learning will help you ship a portfolio of working tools: multi- step automations, custom agents, and end-to-end content pipelines you'll keep using long after the program ends.

Explore how AI is enhancing healthcare systems, aiming to improve patient care and operational efficiency with this AI in Healthcare programme from John Hopkins University.

Explore the fundamentals of AI, generative AI, data, algorithms, and ethics with the Artificial Intelligence course from Porto Business School.

There are few aspects of our digital lives that are untouched by machine learning. With this Applied Machine Learning degree at Noroff School of Technology and Digital Media, you'll teach systems to learn from data. You'll be highly qualified for jobs in AI and can start working straight after graduation.

Join this AI Engineer Using Microsoft Azure Nanodegree programme offered by Udacity, built in collaboration with Microsoft.

From Ada Lovelace until the first decade of this century, we have relied on expert computer programmers to design and write software. Join the Intelligent Systems programme from University of York.

Explore the transformative power of AI for effective leadership in smart, data-driven businesses alongside the AI Strategy for Executives course from Porto Business School.

The Professional Certificate of Competency in Advanced Plant Maintenance and AI-Driven Predictive Technologies from Engineering Institute of Technology is a specialized programme designed for professionals in mining, energy, oil & gas, and manufacturing.

The Efficient Quantization of Large Language Models (Internship) project from King Abdullah University of Science and Technology (KAUST) focuses on breaking down the problem into individual layer-wise sub-problems, and minimizing per-layer error, measured via various metrics.

This 6-week, part-time online AI and Machine Learning for Business course at University of Southampton will introduce you to the core capabilities of Artificial Intelligence (AI) and empower you to contribute to this exciting new era in global technological development.

Build and deploy Generative AI solutions to solve complex business challenges. Learn from Johns Hopkins University faculty and industry leaders to gain practical skills during the Applied Generative AI certificate.

This Artificial Intelligence for Business (Summer and Winter School in Paris) from Paris School of Business (PSB) allow you to discover Arts management, Luxury or Artificial Intelligence while enjoying the City of Light.

Within the No Code and Agentic AI course at Massachusetts Institute of Technology (MIT) you will learn AI and Machine Learning skills through an industry-relevant curriculum designed by MIT faculty, with in-depth modules on Generative AI, Responsible AI, and Agentic AI.

Be on the cutting edge of innovation with a diploma in AI and machine learning with the Artificial Intelligence programme from University of Winnipeg. Artificial intelligence and machine learning is a branch of data science growing at full speed.
Gain expertise in generative AI principles, leveraging its problem-solving capabilities, effective use of Microsoft Azure OpenAI, harnessing Prompt Engineering for business use-cases, and fine-tuning Large Language Models to achieve desired outputs. Learn more with the Generative AI for Business with Microsoft Azure OpenAI course from Microsoft - Great Learning.

The Winter School will enable participants to explore and visualize data with Python, set up and train neural networks from scratch and/or by modifying pre-trained networks (transfer learning), in order to perform classification tasks based on images/texts. It is built around a new paradigm, which takes into consideration archaeologists as both producers and users of digital archaeological data.

The Summer School intends to present some selected tools that can help humanists in their researches and activities, taking advantage of the digital turn and the new technologies. Particular attention is given this year to NLP, Digital Philology, GIS & AI.

The Consciousness and Cognition Certificate from University of Pisa will be organized in order to explore the enigma of Consciousness from different points of view, with the participation of teachers who are experts in all these disciplines.
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