AI Resources

It’s hard to keep up with the rapidly evolving subject of Artificial Intelligence, so UTL&D is here to (try to) help. Explore all the resources below and be sure to check back regularly to see what else we’ve discovered. Included in this Curated Topics Page are all the exciting AI initiatives unique to UT, resources where you can learn about AI on your own, and special events where you can learn as a community. As always, if you have information you think would be a good fit for this page, drop us a note at utld@austin.utexas.edu.

University of Texas at Austin AI Academic Initiatives

Year of AI

At The University of Texas at Austin, artificial intelligence is more than a field of study; it’s a strategic focus driving multi-disciplinary collaborations, groundbreaking research and the development of future leaders poised to navigate the ever-evolving landscape.

The Machine Learning Research Group

Machine learning is the study of adaptive computational systems that improve their performance with experience. The Machine Learning Research Group at UT Austin is led by Professor Raymond Mooney, and our research has explored a wide variety of issues in machine learning for over three decades. Our current research focus is natural language learning.

Machine Learning Laboratory

Creating technology that drives systems for artificial intelligence, enabling them to acquire knowledge, learn from real-world experience, and make predictions in complex environments.

Center for Generative AI

With a core focus on biosciences, health care, computer vision and Natural Language Processing (NLP), the new center is a collaborative effort across industries and disciplines throughout UT. 

The Artificial Intelligence Lab

We continue to investigate the central challenges of machine cognition, especially machine learning, knowledge representation and reasoning, and robotics.

Good Systems, Ethical AI at UT Austin

Designing AI technologies that benefit society is our grand challenge. AI-based technologies are helping us solve complex problems in nearly every discipline and industry, but they have the capacity to be harmful to us in ways we might not predict or intend.
 

AI @ Work

Copilot

Microsoft offers two AI options that can help you build intelligent applications and services: Microsoft Copilot and Copilot for Microsoft 365.

IT Innovation at UT

Artificial Intelligence (AI) is a fascinating field with diverse applications. Whether you’re a beginner or have some background in technology, here are some resources to help you gain a better understanding of AI and machine learning.

LinkedIn Learning
AI-Powered Coaching (AI Career Coach) 

Users can ask questions about workplace challenges and receive advice, feedback, and recommendations (courses) from the LinkedIn Learning library.

AI Courses

UTLearn 

UTL&D has created a UTLearn playlist that includes multiple LinkedIn Learning collections that we curated based on various interests. If you want to learn about AI from the perspective of leadership, marketing, business professional, project management, or just starting from the basics, we’ve got you covered. Be sure to follow the AI Playlist so you can stay current on this rapidly evolving field. 

Professional Certificate: Career Essentials in Generative AI by Microsoft and LinkedIn

Discover the skills needed to apply generative AI in your career. Learn the core concepts of artificial intelligence and generative AI functionality.

Building Generative AI Skills for Business Professionals
 

Building Generative AI Skills for Creative Professionals
 

Building Generative AI Skills for Developers
 

Responsible AI Foundations
 

Coursera’s Microlearning
 

Essentials of AI for Life and Society Course

The Essentials of AI for Life and Society features faculty from several parts of The University of Texas at Austin and covers fundamental concepts for AI literacy, as well as the ethical and societal implications of AI technologies. Only your curiosity and willingness to explore are needed for this class – no prior technical knowledge required.

Become an AI expert with these free online courses

Master the basics of generative AI or overhaul your entire company with these great free learning resources.

External Resources

NPR Explains: :What is AI? (Listen or read)
 

How to Reskill Your Workforce in the Age of AI

How will AI affect businesses and employees? It’s the million-dollar question, and according to Harvard Business School’s Raffaella Sadun, the answer will depend on how well an organization connects the new technologies to both a broad corporate vision and individual employee growth. One without the other is a recipe for job elimination and fewer new opportunities for all.

Artificial Intelligence: What it is and why it matters

Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Most AI examples that you hear about today – from chess-playing computers to self-driving cars – rely heavily on deep learning and natural language processing. In this comprehensive resource learn about AI History, Today's World, Who Uses It, How It Works, and Next Steps. 

AI Interest Group hosted by DIR (Texas Department of Information Resources)

The Artificial Intelligence User Group will provide interested SLED employees access to Subject Matter Experts, use cases, and training opportunities; as well as be a forum for discussing and breaking new ideas related to AI.
Join the interest list

When AI, Ethics and Data Privacy Collide, What Comes Next?

AI is changing the world of HR. But new tools come with questions. To navigate data privacy, security and ethics, it will be crucial for business leaders to understand how ethics and AI mesh, the challenges of implementing AI and ways to make the most of AI tools.

4 Types of AI: Getting to Know Artificial Intelligence

Artificial intelligence (AI) has enabled us to do things faster and better, advancing technology in the 21st century. Learn about the four main types of AI.