AWS Automation: AWS Machine Learning Tutorial Online Training

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Trevor Sullivan

5:58:26

18 View

1 Inspect Images with AWS Rekognition and PowerShell

1 Intro to Amazon Rekognition.mp4

09:14

2 Setting up AWS Rekognition for PowerShell.mp4

09:22

3 Detect Faces with Amazon Rekognition.mp4

17:21

4 Text Extraction with Amazon Rekognition and PowerShell.mp4

09:27

5 Detect Objects in Images with Amazon Rekognition.mp4

11:24

2 Build a Fully Automated Object Detection Pipeline with Amazon Rekognition

6 Intro to Automated Amazon Rekognition Pipeline.mp4

10:20

7 Create S3 Bucket Source and Lambda Function Stub.mp4

10:23

8 Call DetectLabels Rekognition API from AWS Lambda.mp4

10:27

9 Detect Bucket and Key Names from S3 Event Source.mp4

15:09

10 Persist Amazon Rekognition Labels into DynamoDB.mp4

14:11

3 Transcribe Audio Files with Amazon Transcribe and PowerShell

11 Intro to Amazon Transcribe and PowerShell.mp4

11:28

12 Set up Amazon Transcribe PowerShell Module.mp4

09:33

13 Invoke Amazon Transcribe Transcription Job with PowerShell.mp4

10:09

14 Explore Amazon Transcribe Job Output with PowerShell.mp4

10:25

15 Use Vocabulary Filters in Amazon Transcribe and PowerShell.mp4

09:43

4 Transcribe Audio Files with Amazon Transcribe and Python

16 Intro to Amazon Transcribe and Python.mp4

11:24

17 Configure Transcribe Dev Environment on Amazon EC2.mp4

08:25

18 Invoke Async Amazon Transcribe Job with Python.mp4

12:14

19 Explore Amazon Transcribe Results with Python.mp4

13:37

20 Improve Amazon Transcribe Accuracy with Custom Vocabulary.mp4

15:13

5 Integrate Amazon Polly Voiceovers to Your Business Applications with PowerShell

21 What is Amazon Polly-.mp4

12:52

22 Using Amazon Polly from the AWS Management Console.mp4

05:25

23 Configure PowerShell Development Environment for Amazon Polly.mp4

11:52

24 Exploring the Amazon Polly APIs for PowerShell.mp4

08:00

25 Generate Audio Files with Amazon Polly and PowerShell.mp4

10:59

26 Use SSML Tags to Modify Speech in Amazon Polly.mp4

05:58

6 Integrate Amazon Polly Voiceovers to Your Business Applications with Python

27 Introduction to Amazon Polly and Python Boto3 Module.mp4

13:54

28 Set up Container Development Environment for Python and Amazon Polly.mp4

13:15

29 Configure AWS Credentials for Amazon Polly APIs.mp4

06:59

30 Overview of Amazon Polly REST APIs and Boto3 Module.mp4

08:49

31 Synthesize Speech with Amazon Polly and Python Boto3.mp4

12:40

32 Use Speech Synthesis Markup Language to Customize Amazon Polly.mp4

09:03

33 Import Custom Lexicons for Amazon Polly using Python.mp4

09:11

More details

This advanced AWS machine learning training prepares learners to combine, integrate, and automate AWS cloud services to create powerful machine learning models.

Machine learning is one of the most exciting fields in all of tech right now, but the true strength of machine learning lies not just in its impressive results but in the advanced development tools that make those results possible. While the visible outcomes are fascinating, this course focuses on revealing the hidden power behind the scenes.

In this course, you'll uncover the impact of automation and integration on machine learning tools. By learning how to automate and integrate various AWS machine learning tools, you can significantly boost your organization's machine learning capabilities on a much larger scale.

After finishing this AWS machine learning training, you'll know how to combine, integrate, and automate AWS cloud services to create powerful machine learning models.

For anyone who manages IT training, this AWS training can be used to onboard new cloud developers, curated into individual or team training plans, or as a AWS reference resource.

AWS Machine Learning Tutorial: What You Need to Know

For any cloud developer looking to improve their proficiency with cloud computing, this AWS course covers topics such as:

Automating data preprocessing, model training, deployment, and monitoring
Building, training, and deploying ML models with AWS services
Integrating multiple AWS ML services
Handling large datasets in the cloud automatically

Who Should Take AWS Machine Learning Tutorial Training?

This AWS training is considered associate-level AWS training, which means it was designed for cloud developers. This AWS skills course is designed for cloud developers with three to five years of experience with cloud computing.

New or aspiring cloud developers. Brand new cloud developers have a wealth of opportunity at their fingertips in the form of machine learning. AWS tools and services can help build efficient models, deploy and monitor processes, and build scalable apps in the cloud. This course shows you all of that, plus how to automate their development, deployment, and maintenance.

Experienced cloud developers. If you've already been working in the cloud for a few years, this course will deepen and exponentially expand your existing capabilities. This course reveals ways to integrate and automate the machine learning tools and services you're probably already familiar with and expand what it means to be a cloud developer.

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Amazon AWS

Trevor Sullivan

Instructor's Courses

I enjoy teaching IT because the technology industry is changing so rapidly, and our learners need to stay at the cutting edge.

Trevor started building and troubleshooting computers at a young age, thanks to his father owning a software business. He brings more than a decade of IT and training experience to CBT Nuggets. Prior to joining the team, he worked in pre-sales engineering and solutions architecture. Trevor’s hobbies include riding motorcycles, hiking, and spending time with his family.

Certifications: AWS Certified Cloud Practitioner, AWS Certified Solutions Architect - Associate, AWS Certified Developer Associate, AWS Certified SysOps Administrator Associate, AWS Certified DevOps Engineer Professional, AWS Certified Solution Architect - Professional, AWS Certified Security Specialist, Certified Kubernetes Administrator (CKA), and Certified Kubernetes Application Developer (CKAD)

Areas of expertise: AWS, Azure, MySQL, GitHub, Docker, Kubernetes, and PowerShell automation

CBT Nuggets

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CBT Nuggets is renowned for providing innovative training that's informative, meaningful, and engaging. We provide a variety of training, primarily in IT, project management, and office productivity topics. Our comprehensive library contains thousands of training videos ranging from Cisco networking to Microsoft Word. Whether you want to pass a certification exam, increase your skills, or simply learn new things, we've got you covered! All of our training is delivered through high-quality online streaming video. Subscribers can train 24 hours a day, seven days a week, from the convenience of a computer or mobile device. CBT Nuggets trainers are the rock stars of training, renowned for their expertise, industry-wide credibility, and engaging personalities. They enable CBT Nuggets to deliver accurate, up-to-date training, using a laid-back whiteboard presentation style. There are no scripts, EVER. Our trainers love to teach, and it shows! CEO and founder Dan Charbonneau was a Microsoft trainer when he began recording CBT Nuggets' very first training videos back in the 1990s. He wanted to help provide large organizations, small teams and individuals with comprehensive and budget-conscious training, and he realized it couldn't be done in a classroom. From the CBT Nuggets World Headquarters in Eugene, Oregon, Dan and his team promise each video will be informative, comprehensive, accurate, and fun to watch.