Date: March 25 to April 8, 2026
Location: Online
Type: Workshop Series
Website: calendar.colorado.edu
What Is the Mark III AI Education Series?
The Mark III AI Education Series is a focused, bi-weekly virtual workshop designed to provide hands-on, practical training in machine learning and artificial intelligence. Running from March 25 to April 8, 2026, this event is a collaborative effort between industry and academia, co-hosted by NVIDIA, Mark III Systems, and the University of Colorado Boulder’s Research Computing division. This partnership ensures that content is grounded in both cutting-edge industry practice and rigorous academic research.
Unlike large-scale conferences, the Mark III AI Education Series adopts a workshop format, emphasizing direct skill development over passive listening. The series is structured around interactive tutorials and virtual rapid labs, delivered directly to participants via Jupyter Notebooks. This approach allows attendees to follow along with experts in real-time, executing code and building models within a guided environment. The 2026 iteration of this series continues its mission of making advanced AI tools and methodologies accessible to a broader technical audience.
Why It Matters for AI Professionals
For AI practitioners, the value of the Mark III AI Education Series lies in its applied, vendor-backed curriculum. With NVIDIA’s direct involvement, the workshops are likely to offer insights into optimizing workflows for their hardware and software ecosystems, which are foundational to modern AI development. This provides professionals with knowledge that is immediately applicable to real-world projects involving high-performance computing and GPU-accelerated machine learning.
Furthermore, the collaboration with CU Boulder Research Computing connects attendees to the computational best practices and data-intensive research methodologies prevalent in top-tier academic institutions. This blend of industry-scale application and research-grade technique is a unique offering, enabling professionals to bridge the gap between theoretical concepts and production-level implementation. The skills gained in the Mark III AI Education Series can directly enhance an individual’s capacity to design, train, and deploy more efficient and powerful AI models.
What to Expect
Attendees of the Mark III AI Education Series in 2026 can expect a curriculum built around interactive, code-first learning. The core delivery mechanism is the Jupyter Notebook, which will be used in both tutorial sessions and the virtual rapid labs. This hands-on format is central to the event’s promise of practical education.
While specific session titles and a detailed agenda are to be announced, the event description confirms the participation of industry experts in machine learning and AI. The workshops will cover topics relevant to the hosts’ specialties, which likely include:
- GPU-accelerated computing and CUDA-based optimization.
- Practical machine learning and deep learning model development.
- Workflows for research computing and large-scale data analysis.
- Best practices for reproducible and scalable AI experiments.
Who Should Attend
The Mark III AI Education Series is tailored for technical professionals and academics who learn best by doing. The primary target audience includes machine learning engineers, data scientists, research computing specialists, and academic researchers who are actively building or deploying AI models. The workshop’s intermediate-to-advanced, code-heavy nature assumes a foundational understanding of programming and core ML concepts.
Additionally, IT professionals and systems architects interested in the infrastructure supporting AI workloads—particularly those involving NVIDIA technologies—will find relevant content. The series is also an excellent opportunity for graduate students in computer science, data science, and related fields to gain industry-aligned skills and interact with experts from leading organizations.
How to Register
Registration for the Mark III AI Education Series is managed through the official event page on the University of Colorado Boulder calendar. All interested participants should visit the official website for the most current information on the schedule, specific workshop topics, and to secure their spot. As pricing details are not provided in the available information, prospective attendees are encouraged to check the registration portal for any associated costs or scholarship opportunities. You can access the official registration and information page via the link provided in the Key Facts section above.
