Intermediate Artificial Intelligence Learning Path

This course explores the application of AI techniques to enhance engineering design and optimization. It covers generative design, evolutionary algorithms, and topology optimization, providing a comprehensive introduction to using AI for design creativity and process streamlining.

Designed by teachers for teachers, this course bridges the gap between common beliefs about AI and its reality. It provides an overarching understanding of AI concepts and applications in education and how it can be embedded across the school curriculum.

This course emphasizes four main ideas that are central to understanding how AI can impact government operations, including the different types of AI, how it can automate and augment work, and overcoming challenges to scaling AI in the public sector.

This course explores the use of computer simulations, particularly agent-based models, to study social science theories. You will learn how to grow and study artificial societies to understand and improve the real world.

This course dives into the ethical issues surrounding AI technologies, including the challenges posed by AI development and usage. It provides a structured understanding of ethical frameworks to guide AI implementation.

This course explores the power of Artificial Intelligence across diverse fields including manufacturing. It bridges the gap between theory and practical applications, providing hands-on experience with AI algorithms for tasks like fault diagnosis and process optimization.

This course provides an introduction to TensorFlow, one of the most popular deep learning frameworks. You'll learn the basics of building and training neural networks for computer vision tasks.

This course explores how to use data-driven AI to enhance customer engagement and build a competitive advantage. It's a beginner-level course that can be completed in about one week.

An introductory online course that guides government professionals through designing AI-based services for public administration, emphasizing technical, governance, ethical, and regulatory aspects.

This course from Harvard University explores the concepts and algorithms at the foundation of modern artificial intelligence. It delves into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation. The course covers topics including graph search algorithms, reinforcement learning, and neural networks.

This course teaches the fundamentals and principal AI concepts about clustering, dimensionality reduction, reinforcement learning, and deep learning to solve real-life problems. Students will learn the basics of several machine learning topics to help solve real-life challenges, including unsupervised learning techniques such as clustering and dimensionality reduction.

A course that explores the transformative potential of AI in educational contexts. It covers the fundamentals of AI, its applications in teaching and learning, and the ethical considerations that educators need to be aware of.

Harvard CS50's Introduction to Artificial Intelligence

The Complete Artificial Intelligence Course 2025

Artificial Intelligence A-Z: Learn How To Build An AI

This course combines Data Science, Machine Learning, and Deep Learning to create powerful AI for real-world cybersecurity applications. Topics covered include Isolation Forest, Markov Chains, NLP, and various regression and classification algorithms. Students will learn to use tools like Pandas, Numpy, TensorFlow, and Scikit-Learn.

Artificial Intelligence for Business Leaders

This course is designed to upskill national security professionals in AI, focusing on hands-on, use-case driven applications of AI tools like ChatGPT and Gemini for national security missions.

This course explores the legal issues surrounding Artificial Intelligence, including intellectual property, legal risk, and data protection.