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Education & Training Services

Further your AI knowledge by signing up to our of our Deep Learning Institute courses

 

As the UK’s leading NVIDIA Elite Partner, Scan AI is also certified to deliver NVIDIA-certified education and training courses. The two courses are instructor-led Deep Learning Institute (DLI) courses or Ideation Workshops. Click the tabs below to explore each further.

Investigation

• Involve all stakeholders to establish where you are in your AI journey, what are your goals and use cases

• Explore how to accelerate the business, reduce time to insight, and achieve ROI


Planning

• Map your goals to a schedule of activities and set priorities

• Create a roadmap to start using AI in your business


Implementation

• Run pilot projects to gain momentum

• How to build an in-house AI team and provide in-house AI training

• Managing internal and external communications

What is an NVIDIA AI Ideation Workshop?

In collaboration with NVIDIA, the Scan AI team is able to provide an Ideation virtual workshop for your organisation. In this workshop, you will be able to evaluate your existing AI projects and wider strategy, or use the day to formulate an AI plan from scratch. This will be done in collaboration with experts in AI and deep learning practices from both Scan AI and NVIDIA. Following the workshop you will receive a written report with recommendations and guidance as how to implement your plans.

Your workshop will be completely subsidised by Scan and NVIDIA - with no charges and no obligation to purchase anything. Our goal is to promote the wider use of AI technology and show you the possibilities within your industry vertical.

An Example AI Ideation Workshop Agenda

9:00-9:15 Introductions
9:15-9:30 Workshop Overview - Confirmation of goals
9:30-10:00 AI/Data Science Current State - what has been done, what worked, what didn't.
10:00-10:30 AI/Data Science Future State - 1, 3 and 5 year desired state
10:30-10:45 Break
10:45-12:30 Use Case exploration - most applicable with ROI
12:30-13:00 Lunch
13:00-14:00 Data Exploration - What data sources are available, how ready for AI?
14:00-15:00 Architecture Exploration - what is current and planned architecture for AI?
15:00-15:15 Break
15:15-16:00 Summary and Initial feedback, indication of AI readiness scale 1-10
BOOK A WORKSHOP

Learn

• Learn from technical industry experts and instructors

• Gain hands-on experience with the most widely used, industry-standard software, tools, and frameworks


Qualify

• Earn an NVIDIA DLI certificate in select courses to demonstrate subject matter competency and support professional career growth


Implement

• Access GPU-accelerated servers in the cloud to complete hands-on exercises

• Build production-quality solutions with the same DLI base environment containers used in the courses, available from the NVIDIA NGC catalogue

NVIDIA Deep Learning Institute

The NVIDIA DLI offers hands-on training for developers, data scientists, and researchers looking to solve challenging problems with deep learning and accelerated computing. Our DLI courses are delivered by qualified instructors who are in the perfect position to pass on their knowledge and educate developers on how to get the most from this rapidly evolving field. The DLI also teaches you how to optimise your code for performance using NVIDIA, CUDA and OpenACC.

Explore Our Upcoming Courses

Previous Course Next Course

Data Parallelism: How to Train Deep Learning Models on Multiple GPUs

Introduction (15 mins) • Meet the instructor
• Create an account at courses.nvidia.com/join
Stochastic Gradient Descent and the Effects of Batch Size (120 mins) • Learn the significance of stochastic gradient descent when training on multiple GPUs
• Understand the issues with sequential single-thread data processing and the theory behind speeding up applications with parallel processing.
• Understand loss function, gradient descent, and stochastic gradient descent (SGD).
• Understand the effect of batch size on accuracy and training time with an eye towards its use on multi-GPU systems
Break (60 mins)
Training on Multiple GPUs with PyTorch Distributed Data Parallel (DDP) (120 mins) Learn to convert single GPU training to multiple GPUs using PyTorch Distributed Data Parallel

• Understand how DDP coordinates training among multiple GPUs.
• Refactor single-GPU training programs to run on multiple GPUs with DDP
Break (15 mins)
Maintaining Model Accuracy when Scaling to Multiple GPUs (90 mins) Understand and apply key algorithmic considerations to retain accuracy when training on multiple GPUs

• Understand what might cause accuracy to decrease when parallelizing training on multiple GPUs
• Learn and understand techniques for maintaining accuracy when scaling training to multiple GPUs
Workshop Assessment (30 mins) Use what you have learned during the workshop: complete the workshop assessment to earn a certificate of competency
Final Review (15 mins) • Review key learnings and wrap up questions.
• Take the workshop survey
Networking (30 mins) • Discuss your AI projects with the Scan AI data science team
• Make a follow-up appointment

£62

ex VAT per person

Next Course Date - 25th April 2024

BOOK THIS COURSE
Call us on 01204 474747 or Email us at [email protected]