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Course Skill Level:

Foundational to Intermediate

Course Duration:

2 day/s

  • Course Delivery Format:

    Live, instructor-led.

  • Course Category:


  • Course Code:


Who should attend & recommended skills:

Those with basic IT, Linux, & machine learning skills

Who should attend & recommended skills

  • This course is geared for attendees with basic Linux and ML skills who wish to use artificial intelligence and machine learning on AWS to create engaging applications.
  • Skill-level: Foundation-level Machine Learning for Intermediate skilled team members. This is not a basic class.
  • IT Skills: Basic to Intermediate (1-5 years’ experience)
  • Machine Learning: Basic to Intermediate (1-5 years’ experience)
  • Linux: Basic (1-2 years’ experience), including familiarity with command-line options such as ls, cd, cp, and su

About this course

Machine Learning with AWS is the right place to start if you are a beginner interested in learning useful artificial intelligence (AI) and machine learning skills using Amazon Web Services (AWS), the most popular and powerful cloud platform. You will learn how to use AWS to transform your projects into apps that work at high speed and are highly scalable. From natural language processing (NLP) applications, such as language translation and understanding news articles and other text sources, to creating chatbots with both voice and text interfaces, you will learn all that there is to know about using AWS to your advantage. You will also understand how to process huge numbers of images fast and create machine learning models. By the end of this course, you will have developed the skills you need to efficiently use AWS in your machine learning and artificial intelligence projects.

Skills acquired & topics covered

  • Working in a hands-on learning environment, led by our Machine Learning expert instructor, students will learn about and explore:
  • Popular AI and ML services with their underlying algorithms
  • Using the AWS environment to manage your AI workflow
  • Key concepts with hands-on exercises using real-world datasets
  • Getting up and running with machine learning on the AWS platform
  • Analyzing unstructured text using AI and Amazon Comprehend
  • Creating a chatbot and interact with it using speech and text input
  • Retrieving external data via your chatbot
  • Developing a natural language interface
  • Applying AI to images and videos with Amazon Rekognition

Course breakdown / modules

  • Introduction
  • What is AWS?
  • What is Amazon S3?
  • Core S3 Concepts
  • Data Replication
  • AWS Command-Line Interface (CLI)
  • Command Line-Interface (CLI) Usage
  • Recursion and Parameters
  • Using the AWS Console to Identify Machine Learning Services

  • Introduction
  • What is Natural Language Processing?
  • Using Amazon Comprehend to Inspect Text and Determine the Primary Language
  • Extracting Information in a Set of Documents
  • Setting up a Lambda function and Analyzing Imported Text Using Comprehend

  • Introduction
  • Extracting and Analyzing Common Themes

  • Introduction
  • What is a Chatbot?
  • What is Natural Language Understanding?
  • Setting Up with Amazon Lex
  • Creating a Custom Chatbot
  • A Bot Recognizing an Intent and Filling a Slot
  • Lambda Function – Implementation of Business Logic

  • Introduction
  • Amazon Connect Basics
  • Interacting with the Chatbot
  • Talking to Your Chatbot through a Call Center using Amazon Connect
  • Using Amazon Lex Chatbots with Amazon Connect

  • Introduction
  • Amazon Rekognition Basics
  • Rekognition and Deep Learning