Connect generative AI to advances in machine learning and foundation models

We are truly at an exciting inflection point in the widespread adoption of machine learning (ML), and we believe most customer experiences and applications will be reinvented with generative AI. 

Join us for a half-day event to gain a broad base of knowledge on how we can use this technology not just as a standalone tool, but in collaborative partnership to responsibly drive innovation and transformation.

This event is designed to help you:

  • Learn ML concepts, terminology, and processes for machine learning algorithms and deep learning.
  • Explain how artificial intelligence (AI) works under the hood (in non-technical, no-jargon terms, using analogies) and understand the practical use of generative AI with a focus on responsible and ethical usage of the technology.
  • Discover when it is appropriate to use a foundation model and how generative AI applications can solve real-world business problems.
  • Discover AWS training for generative AI learning pathways, including the benefits of getting AWS Certified and how to best prepare for your exam.

Register today! Attend the event to receive:

AWS Jam

Free access to AWS Jam to solve hands-on challenges

Discount

50% discount for one exam in the Machine Learning Engineer Certification Pathway*

Certificate

A certificate of attendance for the AWS training event

Session Details | Monday, 9 October 2023

Each session will have a unique access link. You will receive an email for each session that you select.

Generative AI leverages the latest advances in machine learning foundation models - making them capable of learning complex concepts. In this two part session, we will walk through the basics of machine learning, discover when it is appropriate to use a foundation model and how you can accelerate your machine learning journey with Amazon SageMaker.

Part 1: Machine Learning Basics (30 min)

What is machine learning? How can machine learning solve business problems? In this session, you will get an overview of concepts, terminology, and processes of the exciting field of machine learning. Discover when it is appropriate to use a machine learning model and the phases of a machine learning pipeline and how it can solve business problems.

Part 2: Accelerate Your Machine Learning Journey with Amazon SageMaker (30 min)
What is Amazon SageMaker? In this session, you will learn about practical aspects of model building, training, tuning, and deployment with Amazon SageMaker and how Amazon SageMaker enables data scientists to innovate with ML through a fully managed infrastructure, a choice of tools and a powerful integrated development environment (IDE).

You can apply generative AI across all lines of business including engineering, marketing, customer service, finance, and sales. Join us for an understandable and approachable deep dive into how generative AI works and understand the practical use of generative AI. In this two part session, we will demystify how artificial intelligence (AI) works under the hood (in non-technical, no-jargon terms, using analogies) and discover the AWS training available for AI/ML and generative AI learning pathways

Part 1: Unleashing Innovation: The Generative AI Revolution (105 min)

We find ourselves in a society where the line between what is created by humans and what is created by machines, is increasingly blurred. Generative AI has been a turning point in how we create, design, and interact with technology. But how does it work, what are the benefits beyond novelty, and what are the risks?

BREAK - 5 min

Part 2: Getting Started with AWS Training & Certification – AI/ML and Generative AI (30 min)
AWS Training and Certification offers a variety of live and on-demand resources that can help you build and validate your cloud skills across a variety of topics, from beginner to advanced levels. In this session, you will learn about the AWS free training programs, learning plans, and tools that will accelerate your AWS knowledge and skills to help you accomplish more in less time. Discover the available training for machine learning and AI, as well as generative AI learning pathways, including the benefits of getting AWS Certified and how to best prepare for your exam.

Who Should Attend?

  • Developers
  • Solution Architects
  • Data Engineers
  • Data Scientists
  • IT business decision makers
  • Individuals who seek an overall understanding of machine learning and generative AI

Meet our AWS Experts

Matthew Purcell

Matthew Purcell
Senior Technical Trainer - AI/ML
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Dr. Aarthi Natarajan

Dr. Aarthi Natarajan
Senior Technical Trainer - AI/ML
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* Terms and conditions apply. Offer limited to selected countries.

Registration Closed