Skip to 0 minutes and 1 second [Russ] Hello, I’m Russ, and (upbeat music) this is the Introduction to Machine Learning on AWS course. In this course, we take an introductory look at artificial intelligence and machine learning. This course is intended for software developers taking their first steps with the AWS services that do a lot of the heavy lifting of machine learning for you. We use services to do tasks that you may have traditionally required a person to do. Identifying labels and images, translating languages, transcribing texts from audio, and more. We wrap up the course with a quick introduction to training and hosting your own machine learning models with Amazon SageMaker. So, come join me to take your next steps with machine learning on AWS.
Introduction to Machine Learning on AWS
Gain the knowledge and tools to navigate Amazon Web Services (AWS) and begin using machine learning services.
Duration
2 weeksWeekly study
4 hours
Introduction to Machine Learning on AWS
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Discover how you can use machine learning through AWS
Through AWS, Artificial Intelligence, Machine Learning, and Deep Learning can all work with existing applications to make some improvements in a business’s user experience or the business needs of their application.
On this two-week course from AWS Training and Certification, you’ll gain an introductory look at artificial intelligence and machine learning through the lens of Amazon Web Services.
Explore a full range of AWS services utilising machine learning
You’ll learn about a range of services that do the heavy lifting of computer vision, data extraction and analysis, language processing, speech recognition, translation, ML model training and virtual agents.
Then, you’ll begin to think about your current solutions and see where you can improve these solutions using AI, ML or Deep Learning.
Learn from the experts at AWS Training and Certification
Since 2006, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud platform, offering over 90 fully featured services in a number of areas.
Having been created by experts at AWS Training and Certification, this course is the go-to way to develop your knowledge and understanding of Machine Learning on AWS.
Syllabus
Week 1
Using AWS machine learning services for computer vision, data extraction and analysis, and language processing
Welcome to the Course
In this section you will learn about the format of this course and define common machine learning terminology.
Computer Vision
In this section, you will be introduced to Week 1 topics. You will also learn about Amazon Rekognition for computer vision and get hands-on with your first exercise.
Data Extraction and Analysis
In this section you will learn about Amazon Textract—a service that extracts text, handwriting, and data from scanned documents.
Language Processing
In this section, you will learn about Amazon Comprehend, which is used to extract language features of a document (such as entities and sentiment). You also see how to train classifier and entity recognizers.
Week 1 Reading and Assessment
In this section, you will have access to additional resources to help further your learning. You will also have an opportunity to test your knowledge of the topics that were covered so far in the course with an assessment.
Week 2
Using AWS machine learning services for speech recognition, language translation, and virtual agents
Speech Recognition
In this section, you will be introduced to the concepts that will be covered in Week 2 of this course. You will also learn about Amazon Transcribe.
Language Translation
In this section, you learn about features that can automatically translate text between different languages.
Virtual Agents
In this section, you will learn about the components that are used to create a virtual agent: bots, intents, and slots. Then, you will learn how to fulfill an intent by using an AWS Lambda function.
Build, Train, and Deploy Machine Learning Models
In this section, you learn about Amazon SageMaker—a fully managed machine learning service that you can use to build, train, and deploy machine learning models.
Week 2 Reading and Assessment
In this section, you will have access to additional resources to help further your learning. You will also have an opportunity to test your knowledge of the topics that were covered so far in the course with an assessment.
Learning on this course
On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.
What will you achieve?
By the end of the course, you‘ll be able to...
- Apply machine learning and artificial intelligence to tasks that you'd normally think you'd need a human to do
- Compare differences between Machine Learning, Artificial Intelligence, and Deep Learning
- Assess labels and images using advanced technology
- Describe the benefits of Amazon SageMaker
Who is the course for?
This course is designed for software developers and engineers taking their first steps with the AWS services that do much of the heavy lifting of machine learning for you.
Who developed the course?
AWS Training and Certification
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.
What's included?
This is a premium course. These courses are designed for professionals from specific industries looking to learn with a smaller group of like-minded individuals.
- Unlimited access to this course
- Includes any articles, videos, peer reviews and quizzes
- Certificate of Achievement to prove your success when you're eligible
- Download and print your Certificate of Achievement anytime
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