This LLM for beginners course offers a working knowledge of the capabilities and types of LLM and practical experience of fine-tuning GPT2 on specific datasets.

Explore ethical considerations and frameworks for developing responsible AI systems that align with societal values.

Explore the ethical landscape of computer vision and its impact on society. This course will teach you how to navigate and address the ethical challenges associated with computer vision.

Self-Driving Cars with Duckietown is the first robotics and AI MOOC with scale-model self-driving cars. Learn state-of-the-art autonomy hands-on: build your own real robot (Duckiebot) and get it to drive autonomously in your scaled city (Duckietown).

In this course, you learn the basic commands for manipulating Excel in IBM RPA. Among the actions to work with Excel are reading and writing in an Excel file.

Learn how to interpret the decision-making process of deep neural networks.

Understand the role and real-world realities of Explainable Artificial Intelligence (XAI) with this beginner friendly course.

Interact with Microsoft Copilot in Bing to learn about the capabilities of generative AI. Bring your personal creativity and passion to dream up a novel destination and create the content to help tell its story.

Discover how to use the Hugging Face Inference API in JavaScript, focusing on integrating advanced NLP models into web applications.

Document intelligence uses machine learning technology to identify and extract key-value pairs and table data from form documents with accuracy, at scale. This module teaches you how to use the Azure Document intelligence cognitive service.

Master the art of LLM finetuning with LoRA, QLoRA, and Hugging Face. Learn how to prepare, train and optimize models for specific tasks efficiently.

With AI, we can build solutions that seemed like science fiction a short time ago; enabling incredible advances in health care, financial management, environmental protection, and other areas to make a better world for everyone.