Free
AWS Discovery Day (AI/ML Focus)

AWS Discovery Day (AI/ML Focus)

Actions and Detail Panel

Free

Date and time

Location

Online event

AWS Discovery Day (AI/ML Focus)

About this event

AWS Technical Essentials introduces you to AWS products, services, and common solutions. It provides IT technical end users with basic fundamentals to become more proficient in identifying AWS services so that you can make informed decisions about IT solutions based on your business requirements.

This half day seminar held by Calvin Riskowitz will teach you how to:

  • Recognize terminology and concepts as they relate to the AWS platform
  • Navigate the AWS Management Console
  • Understand the security measures AWS provides
  • Differentiate AWS Storage options and create an Amazon Simple Storage Service (S3) bucket
  • Recognize AWS Compute and Networking options and use Amazon Elastic Compute Cloud (EC2) and Amazon Elastic Block Storage (EBS)
  • Describe Managed Services and Database options
  • Use Amazon Relational Database Service (RDS) to launch an application
  • Identify Deployment and Management options

Are you interested in machine learning, but not sure where to start?

Join us for this session with an AWS expert and demystify the basics. Using real-world examples, you’ll learn about important concepts, terminology, and the phases of a machine learning pipeline. Learn how you can unlock new insights and value for your business using machine learning.

  • Level: Fundamental
  • Duration: 1.5 hours

Key topics covered

During this event, you will learn:

  • What is Machine Learning?
  • What is the machine learning pipeline, and what are its phases?
  • What is the difference between supervised and unsupervised learning?
  • What is reinforcement learning?
  • What is deep learning?

Intended audience

This event is intended for:

  • Developers
  • Solution architects
  • Data engineers
  • Individuals interested in building solutions with machine learning - no machine learning experience required!

Recommended follow-up training and resources

We recommend that attendees of this event continue learning with these

Courses

  • Deep Learning on AWS
  • MLOps Engineering on AWS
  • Practical Data Science with Amazon SageMaker
  • The Machine Learning Pipeline on AWS

Resources

  • AWS Ramp-Up Guide: Machine Learning

Event outline

Section 1: Machine learning basics

  • Classical programming vs. machine learning approach
  • What is a model?
  • Algorithm features, weights, and outputs
  • Machine learning algorithm categories
  • Supervised algorithms
  • Unsupervised algorithms
  • Reinforcement learning

Section 2: What is deep learning?

  • How does deep learning work?
  • How deep learning is different

Section 3: The Machine Learning Pipeline

  • Overview
  • Business problem
  • Data collection and integration
  • Data processing and visualization
  • Feature engineering
  • Model training and tuning
  • Model evaluation
  • Model deployment

Section 4: What are my next steps?

  • Resources to continue learning

Time: 9.0am - 2.00pm

Location: Online

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