AWS DevDay Online: AI/ML Edition

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An introduction to Machine Learning with Python and scikit-learn


Speaker: Andrew Kane, Principal Solutions Architect, AWS

Level: Advanced (300)

In this session, we’ll explain how Deep Learning differs from traditional Machine Learning and how it can help you solve complex problems such as computer vision or natural language processing. Then, using Python code, we’ll run some examples using popular libraries like TensorFlow, Keras, Apache MXNet and PyTorch. Finally, we’ll demonstrate how you can achieve excellent results quickly by using state-of-the-art pre-trained models.




Build, train, and deploy your machine learning models


Speaker: Andrew Kane, Principal Solutions Architect, AWS

Level: Advanced (300)

Traditional machine learning development is a complex, expensive, iterative process made even harder because there are no integrated tools for the entire machine learning workflow. Amazon SageMaker Studio solves this challenge by providing all components in a single, web-based visual interface. You can quickly upload data, create new notebooks, train compare results, and deploy models to production all in one place, making you much more productive. In this session, we will explain how it works including a demo.





Speaker: Julien Simon, Principal Advocate, ML/AI, AWS

Level: Advanced (300)

In this code-only session, we'll explore advanced features of Amazon SageMaker that will help you boost your productivity, as well as the quality of your models. First, we'll see how to detect and fix training issues with SageMaker Debugger. Then, we'll also show you how to monitor models in production, and identify prediction issues such as missing features or data drift. Finally, we'll share some cost optimization tips to help you make the most of your machine learning budget.




Building Models Automatically with Amazon SageMaker


Speaker: Julien Simon, Principal Advocate, ML/AI, AWS

Level: Expert (400)

In this session, we'll show you how to build high performance models. First, we'll show you how Automatic Model Tuning eliminates the need to manually pick the "right" training parameters (aka hyperparameters), a critical step in training high accuracy models. Going one step further, you'll learn about Amazon SageMaker AutoPilot, a recent capability that automatically creates the best model for your dataset (data preprocessing, feature engineering, algorithm selection, and model tuning).





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AWS FS: Insight Tech Talks



November Sessions

Deploying Open Banking APIs on AWS     

Time & Date

06 November | 13:00 GMT

Speaker

Ronan Guilfoyle

Details

Hear from Difa Niculescu, Head of IT, Tandem Bank, an AWS customer, who decided banking needed to be more customer focused. They will discuss how the cloud helped achieve their vision, and give advice on working in a regulated industry.


High Performance Computing Grid on AWS

07 November | 13:00 GMT

Perry Wald

Hear from Difa Niculescu, Head of IT, Tandem Bank, an AWS customer, who decided banking needed to be more customer focused. They will discuss how the cloud helped achieve their vision, and give advice on working in a regulated industry.


Maximising Data Governance in the Cloud

13 November | 13:00 GMT

Matt Pitchford

Hear from Difa Niculescu, Head of IT, Tandem Bank, an AWS customer, who decided banking needed to be more customer focused. They will discuss how the cloud helped achieve their vision, and give advice on working in a regulated industry.


Drive New Experiences & Make Better Decisions with AI/ML

20 November | 13:00 GMT

Gary Harmson

Hear from Difa Niculescu, Head of IT, Tandem Bank, an AWS customer, who decided banking needed to be more customer focused. They will discuss how the cloud helped achieve their vision, and give advice on working in a regulated industry.


Drive New Experiences & Make Better Decisions with AI/ML

20 November | 13:00 GMT

Gary Harmson

Hear from Difa Niculescu, Head of IT, Tandem Bank, an AWS customer, who decided banking needed to be more customer focused. They will discuss how the cloud helped achieve their vision, and give advice on working in a regulated industry.


Building a Customer Obsessed Business in a Regulated Industry

20 November | 13:00 GMT

Difa Niculescu

Hear from Difa Niculescu, Head of IT, Tandem Bank, an AWS customer, who decided banking needed to be more customer focused. They will discuss how the cloud helped achieve their vision, and give advice on working in a regulated industry.


Select Webinar(s)

Tech Talk Detail

  • Level 100

    Introductory
      Tech Talks are focused on providing an overview of AWS services and features, with the assumption that attendees are new to the topic.

  • Level 200

    Intermediate
      Tech Talks are focused on providing best practices, details of service features and demos with the assumption that attendees have introductory knowledge of the topics.

  • Level 300

    Advanced
    These Tech Talks will dive deeper into the selected topic. Presenters assume that the audience has some familiarity with the topic, but may or may not have direct experience implementing a similar solution.

  • Level 400

    Expert
      Tech Talks for attendees who are deeply familiar with the topic, have implemented a solution on their own already, and are comfortable with how the technology works across multiple services.

Webinar Schedule

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