This course provides a comprehensive exploration of evolving artificial intelligence (AI) concepts, tools, and their applications in organizational settings. The course is tailored for all learners seeking to gain a foundational understanding of AI concepts.
DurationThis course provides a comprehensive exploration of evolving artificial intelligence (AI) concepts, tools, and their applications in organizational settings. The course is tailored for all learners seeking to gain a foundational understanding of AI concepts.
Students will gain a deep understanding of the benefits, limitations, and tradeoffs associated with designing and engaging with AI tools.
The course aims to empower students to champion appropriate AI use within organizations, identify business or organizational problems suitable for AI solutions, and navigate the dynamic landscape of AI in their respective industries.
Located where the Great Plains meet the Rocky Mountains, and now with the James C. Kennedy Mountain Campus adjacent to the Roosevelt National Forest, we embody the spirit of exploration and discovery that defines our region.
The University of Denver is a private institution built on exploration through research and collaboration among educators and students, as well as local and global communities. This spirit of innovation paired with our signature 4D Experience and a core commitment to making a real difference in communities around the world leads to our recognized status as a Very High Research University (or "R1") by the Carnegie Classification of Institutions of Higher Education.
With nationally recognized academic programs, a history of widespread influence, a forward-looking vision for a 21st century education and a deep commitment to promoting inclusion, we open a world of opportunity to students and empower them to make a difference around the world.
Machine learning is a branch of Artificial Intelligence wherein computers have the ability to learn without being explicitly programmed.
This course tracks along the Python vertical and integrates a range of topics at the nexus of computer science, data science, and artificial intelligence, with a focus on natural language processing.
With advances in machine learning and deep learning algorithms, artificial intelligence has grown exponentially. AI is a driving force behind technologies such as computer vision, autonomous vehicles, drones, robotics and more.
Artificial Intelligence is the current, future discipline fostering the next generation of Computer Science, Networking, Cloud and High Performance Computing environments.
This course covers foundational AI topics and concepts and provides an understanding of essential AI techniques, the basics of neural networks, and fundamental neural network architectural layers.
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