Intro to Machine Learning in AWS for Beginners

Intro to Machine Learning in AWS for Beginners, available at Free, has an average rating of 4.44, with 13 lectures, based on 288 reviews, and has 7475 subscribers.

You will learn about Understand the difference between Artificial Intelligence (AI), Machine Learning (ML), Data Science (DS) and Deep Learning (DL) Build, Train, and Test a Simple Machine Learning Model Using AWS SageMaker Canvas Leverage a Yolo V3 Object Detection Algorithm available on the AWS Marketplace Navigate Through the AWS Management Console Write Your First Code in SageMaker Studio This course is ideal for individuals who are Absolute Beginners who want to break into machine learning in AWS or Beginners Data Scientists wanting to advance their careers by Learning AWS and Machine Learning or Tech enthusiasts who are passionate and new to Machine Learning and want to gain basic knowledge in AWS & Machine Learning It is particularly useful for Absolute Beginners who want to break into machine learning in AWS or Beginners Data Scientists wanting to advance their careers by Learning AWS and Machine Learning or Tech enthusiasts who are passionate and new to Machine Learning and want to gain basic knowledge in AWS & Machine Learning.

Enroll now: Intro to Machine Learning in AWS for Beginners

Summary

Title: Intro to Machine Learning in AWS for Beginners

Price: Free

Average Rating: 4.44

Number of Lectures: 13

Number of Published Lectures: 13

Number of Curriculum Items: 13

Number of Published Curriculum Objects: 13

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Understand the difference between Artificial Intelligence (AI), Machine Learning (ML), Data Science (DS) and Deep Learning (DL)
Build, Train, and Test a Simple Machine Learning Model Using AWS SageMaker Canvas
Leverage a Yolo V3 Object Detection Algorithm available on the AWS Marketplace
Navigate Through the AWS Management Console
Write Your First Code in SageMaker Studio

Who Should Attend

Absolute Beginners who want to break into machine learning in AWS
Beginners Data Scientists wanting to advance their careers by Learning AWS and Machine Learning
Tech enthusiasts who are passionate and new to Machine Learning and want to gain basic knowledge in AWS & Machine Learning

Target Audiences

Absolute Beginners who want to break into machine learning in AWS
Beginners Data Scientists wanting to advance their careers by Learning AWS and Machine Learning
Tech enthusiasts who are passionate and new to Machine Learning and want to gain basic knowledge in AWS & Machine Learning

Machine Learning is the future one of the top tech fields to be in right now!

ML and AI will change our lives in the same way electricity did 100 years ago. ML is widely adopted in Finance, banking, healthcare, transportation, and technology.

The field is exploding with opportunities and career prospects.

This introductory course is for absolute beginners, students will learn:

Key AWS services such as Simple Storage Service (S3), Elastic Compute Cloud (EC2), Identity and Access Management (IAM) and CloudWatch,
The benefits of cloud computing and what’s included in the AWS Free Tier Package
How to setup a brand-new account in AWS and navigate through the AWS Management Console
The fundamentals of Machine Learning and understand the difference between Artificial Intelligence (AI), Machine Learning (ML), Data Science (DS) and Deep Learning (DL)
List the key components to build any machine learning models including data, model, and compute
Learn the fundamentals of Amazon SageMaker, SageMaker Components, training options offered by SageMaker including built-in algorithms, AWS Marketplace, and customized ML algorithms
Cover AWS SageMaker Studio and learn the difference between AWS SageMaker JumpStart, SageMaker Autopilot and SageMaker Data Wrangler
Learn how to write our first code in the cloud using Jupyter Notebooks.
We will then have a tutorial covering AWS Marketplace object detection algorithms such as Yolo V3
Learn how to train our first machine learning model using the brand-new AWS SageMaker Canvas without writing any code!

Course Curriculum

Chapter 1: Introduction to AWS, SignUp & Management Console Tour

Lecture 1: What is AWS? & Benefits of Cloud Computing

Lecture 2: AWS SignUp & AWS Management Console Tour

Chapter 2: Machine Learning in AWS & SageMaker

Lecture 1: Introduction to SageMaker

Lecture 2: AWS SageMaker Demo Part 1 – Notebook Instance

Lecture 3: AWS SageMaker Demo Part 2 – Write Your First Code & Terminate Instances

Lecture 4: AWS SageMaker Demo Part 3 – AWS Marketplace Tutorial and Demo

Lecture 5: AWS SageMaker Demo Part 4 – SageMaker Studio

Chapter 3: Build, Train and Test your First Machine Learning Model!

Lecture 1: SageMaker Canvas 101

Lecture 2: Upload your data to S3

Lecture 3: Train & Evaluate Your Model in SageMaker Canvas

Chapter 4: Final Capstone Project

Lecture 1: Final Capstone Project Overview

Lecture 2: Final Capstone Project Solution

Lecture 3: Shutdown Canvas and Cleanup Resources

Instructors

Dr. Ryan Ahmed, Ph.D., MBA
Best-Selling Professor, 400K+ students, 250K+ YT Subs

Rating Distribution

1 stars: 3 votes
2 stars: 6 votes
3 stars: 32 votes
4 stars: 102 votes
5 stars: 145 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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