Deep Learning & Education Services Delivered by Scan
Businesses worldwide are using artificial intelligence (AI) to solve their greatest challenges. Healthcare professionals use AI to enable more accurate, faster diagnoses in patients. Retail businesses use it to offer personalised customer shopping experiences. The automotive industry is using AI to make develop self-driving cars and deliver services safer and more efficiently. Deep learning is a powerful approach to implementing AI that uses multi-layered artificial neural networks to deliver state-of-the-art accuracy in tasks such as object detection, speech recognition and language translation. Using deep learning, computers are now able to learn and recognise patterns from data that are considered too complex or subtle for expert-written software. As a trusted NVIDIA Elite Partner, our education offerings help you and your organisation understand how deep learning works and how it can be implemented by providing two types of focussed learning.
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.
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
• Running pilot projects to gain momentum
• How to build an in-house AI team
• Providing AI training
• Managing internal & external communications
Typical 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 |
Sign Up
Sign up below to try one of the AI & Deep Learning solutions available from Scan Computers. Following submission one of the Scan AI will be in touch to arrange your free trial. Please ensure you provide a valid phone number.
NVIDIA Deep Learning Institute
The NVIDIA Deep Learning Institute (DLI) offers hands-on training for developers, data scientists, and researchers looking to solve challenging problems with deep learning and accelerated computing. Through self-paced labs and instructor-led workshops, the DLI teaches the latest techniques for designing, training, and deploying neural networks across a variety of application domains. The DLI also teaches you how to optimise your code for performance using NVIDIA, CUDA and OpenACC.
DLI courses provide unique hands-on training using the latest AI frameworks, software development kits (SDKs), and GPU-accelerated technologies. Students get exposure to industry experts, along with the training and insights to help solve some of the world’s most challenging problems with deep learning and accelerated computing.
Delivered by Scan Experts
As an NVIDIA Elite Solution provider, the Scan AI team has gained expertise throughout the industry in both hardware and software deep learning and AI solutions. Our DLI courses are delivered by fully qualified instructors certified by NVIDIA so we’re in the perfect position to pass on our knowledge and educate developers on how to apply deep learning and artificial intelligence models. Click the video to the left for an in-depth look at how we’re delivering our DLI courses.
A Typical DLI Course Agenda
| 10.00 - 10.15 | Introductions |
| 10.15 - 12.00 | Principles of Stochastic Gradient Descent (SGD) |
| 12.00 - 13.00 | Lunch Break |
| 13.20 - 14.20 | Introduction to Distributed Training |
| 14.20 - 14.30 | Coffee Break |
| 14.30 - 15.00 | Virtualisation of GPUs Presentation |
| 15.00 - 16.15 | Algorithmic Challenges of Distributed SGD |
| 16.30 - 16.30 | Q&A |
DLI Instructor-Led Workshop
Fundamentals of Deep Learning
15/02/2024 Online With ScanIn this workshop, you’ll learn how deep learning works through hands-on exercises in computer vision and natural language processing. You’ll train deep learning models from scratch, learning tools and tricks to achieve highly accurate results. You’ll also learn to leverage freely available, state-of-the-art pre-trained models to save time and get your deep learning application up and running quickly.
By participating in this is workshop you will learn:
• Learn the fundamental techniques and tools required to train a deep learning model
• Gain experience with common deep learning data types and model architectures
• Enhance datasets through data augmentation to improve model accuracy
• Leverage transfer learning between models to achieve efficient results with less data and computation
• Build confidence to take on your own project with a modern deep learning framework
Prerequisites
An understanding of fundamental programming concepts in Python 3, such as functions, loops, dictionaries, and arrays; familiarity with Pandas data structures; and an understanding of how to compute a regression line.
Suggested materials to satisfy prerequisites: Python Beginner’s Guide.
Technologies
Tensorflow 2 with Keras, Pandas