UT, Salt Lake City - 222 Main

222 Main St, Salt Lake City, united states, 84101

The venue is located just across the road from Wells Fargo Advisors and just next door to Bambara.
NobleProg Training Place, City Provo, UT - Regus - Downtown Provo

Provo, UT - Regus - Downtown Provo

180 North University Avenue, Provo, United States, 84601

The venue is conveniently located with easy access by car via I‑15, and public parking is available both on the street and in nearby garages. For those traveling by air, Provo Airport is just a 15-minute drive away. Additionally, the venue is only steps away from several local bus routes, making it easily reachable by public transit.
NobleProg Training Place, City Salt Lake City, UT - Regus at South Main Street Downtown

Salt Lake City, UT - Regus at South Main Street Downtown

222 South Main Street Downtown, Salt Lake City, United States, 84101

The venue is conveniently located and easy to reach by various means of transportation. Those arriving by car can access it easily via I‑15 and I‑80, with several public parking garages and ample street parking available nearby. For travelers flying in, Salt Lake City International Airport (SLC) is just a 10-minute drive from the location. Additionally, the venue is situated just steps from major bus routes and is within walking distance of the TRAX light rail system.

Salt Lake City, UT

75 S West Temple, Salt Lake City, United States, 84101

The venue is easily accessible by car via Interstates I‑15 and I‑80, with convenient on-site parking available for a fee, as well as nearby parking garages. For those arriving by air, Salt Lake City International Airport (SLC) is located just 6 miles away and offers direct transportation options to the downtown area. Visitors using public transit can reach the location on foot from the nearby City Center TRAX station, which connects with major bus lines and downtown destinations.

Subcategories (1)

Category for Intelligent Applications

Intelligent Applications

Explore Our Courses

AI Inference and Deployment with CloudMatrix

 21 Hours

CloudMatrix is Huawei’s unified AI development and deployment platform designed to support scalable, production-grade inference pipelines.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level AI professionals who wish to deploy and monitor AI models using the CloudMatrix platform with CANN and MindSpore integration.

By the end of this training, participants will be able to:

  • Use CloudMatrix for model packaging, deployment, and serving.
  • Convert and optimize models for Ascend chipsets.
  • Set up pipelines for real-time and batch inference tasks.
  • Monitor deployments and tune performance in production settings.

Format of the Course

  • Interactive lecture and discussion.
  • Hands-on use of CloudMatrix with real deployment scenarios.
  • Guided exercises focused on conversion, optimization, and scaling.

Course Customization Options

  • To request a customized training for this course based on your AI infrastructure or cloud environment, please contact us to arrange.
Read more...

Building Intelligent Applications with AI and ML

 28 Hours

This instructor-led, live training in Utah (online or onsite) is aimed at intermediate-level to advanced-level AI professionals and
software developers who wish to build intelligent applications using AI and ML.

By the end of this training, participants will be able to:

  • Understand the advanced concepts and technologies behind AI and ML.
  • Analyze and visualize data to inform AI/ML model development.
  • Build, train, and deploy AI/ML models effectively.
  • Create intelligent applications that can solve real-world problems.
  • Evaluate the ethical implications of AI applications in various industries.
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Intelligent Applications Advanced

 21 Hours

This instructor-led, live training in Utah (online or onsite) is aimed at intermediate-level to advanced-level data scientists, engineers, and AI practitioners who wish to master the intricacies of intelligent applications and leverage them to solve complex, real-world problems.

By the end of this training, participants will be able to:

  • Implement and analyze deep learning architectures.
  • Apply machine learning at scale in a distributed computing environment.
  • Design and execute reinforcement learning models for decision-making.
  • Develop sophisticated NLP systems for language understanding.
  • Utilize computer vision techniques for image and video analysis.
  • Address ethical considerations in the development and deployment of AI systems.
Read more...

Developing AI Applications with Huawei Ascend and CANN

 21 Hours

Huawei Ascend is a family of AI processors designed for high-performance inference and training.

This instructor-led, live training (online or onsite) is aimed at intermediate-level AI engineers and data scientists who wish to develop and optimize neural network models using Huawei’s Ascend platform and the CANN toolkit.

By the end of this training, participants will be able to:

  • Set up and configure the CANN development environment.
  • Develop AI applications using MindSpore and CloudMatrix workflows.
  • Optimize performance on Ascend NPUs using custom operators and tiling.
  • Deploy models to edge or cloud environments.

Format of the Course

  • Interactive lecture and discussion.
  • Hands-on use of Huawei Ascend and CANN toolkit in sample applications.
  • Guided exercises focused on model building, training, and deployment.

Course Customization Options

  • To request a customized training for this course based on your infrastructure or datasets, please contact us to arrange.
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AI Engineering Fundamentals

 14 Hours

This instructor-led, live training in Utah (online or onsite) is aimed at beginner-level to intermediate-level AI engineers and software developers who wish to gain a foundational understanding of AI engineering principles and practices.

By the end of this training, participants will be able to:

  • Understand the core concepts and technologies behind AI and machine learning.
  • Implement basic machine learning models using TensorFlow and PyTorch.
  • Apply AI techniques to solve practical problems in software development.
  • Manage and maintain AI projects using best practices in AI engineering.
  • Recognize the ethical implications and responsibilities involved in developing AI systems.
Read more...

GPU Programming on Biren AI Accelerators

 21 Hours

Biren AI Accelerators are high-performance GPUs designed for AI and HPC workloads with support for large-scale training and inference.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level developers who wish to program and optimize applications using Biren’s proprietary GPU stack, with practical comparisons to CUDA-based environments.

By the end of this training, participants will be able to:

  • Understand Biren GPU architecture and memory hierarchy.
  • Set up the development environment and use Biren’s programming model.
  • Translate and optimize CUDA-style code for Biren platforms.
  • Apply performance tuning and debugging techniques.

Format of the Course

  • Interactive lecture and discussion.
  • Hands-on use of Biren SDK in sample GPU workloads.
  • Guided exercises focused on porting and performance tuning.

Course Customization Options

  • To request a customized training for this course based on your application stack or integration needs, please contact us to arrange.
Read more...

Intelligent Applications Fundamentals

 14 Hours

This instructor-led, live training in Utah (online or onsite) is aimed at beginner-level IT professionals who wish to gain a foundational understanding of intelligent applications and how they can be applied in various industries.

By the end of this training, participants will be able to:

  • Understand the history, principles, and impact of artificial intelligence.
  • Identify and apply different machine learning algorithms.
  • Manage and analyze data effectively for AI applications.
  • Recognize the practical applications and limitations of AI in different sectors.
  • Discuss the ethical considerations and societal implications of AI technology.
Read more...

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Testimonials (1)

Step by step training with a lot of exercises. It was like a workshop and I am very glad about that.

Ireneusz - Inter Cars S.A.

Course - Intelligent Applications Fundamentals

Upcoming Courses

Building Intelligent Applications with AI and ML

2025-07-21 9:30 am
28 hours
UT, Salt Lake City - 222 Main
$ 5405 (Online)
$ 7405 (Classroom)

GPU Programming on Biren AI Accelerators

2025-08-04 9:30 am
21 hours
Salt Lake City, UT - Regus at South Main Street Downtown
$ 4054 (Online)
$ 4054 (Classroom)

Intelligent Applications Fundamentals

2025-08-18 9:30 am
14 hours
UT, Salt Lake City - 222 Main
$ 2703 (Online)
$ 3703 (Classroom)

Intelligent Applications Fundamentals

2025-09-01 9:30 am
14 hours
Salt Lake City, UT - Regus at South Main Street Downtown
$ 2703 (Online)
$ 2703 (Classroom)

Intelligent Applications Advanced

2025-09-15 9:30 am
21 hours
UT, Salt Lake City - 222 Main
$ 4054 (Online)
$ 5554 (Classroom)

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