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:
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Key AWS services such as Simple Storage Service (S3), Elastic Compute Cloud (EC2), Identity and Access Management (IAM) and CloudWatch,
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The benefits of cloud computing and what’s included in the AWS Free Tier Package
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How to setup a brand-new account in AWS and navigate through the AWS Management Console
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The fundamentals of Machine Learning and understand the difference between Artificial Intelligence (AI), Machine Learning (ML), Data Science (DS) and Deep Learning (DL)
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List the key components to build any machine learning models including data, model, and compute
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Learn the fundamentals of Amazon SageMaker, SageMaker Components, training options offered by SageMaker including built-in algorithms, AWS Marketplace, and customized ML algorithms
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Cover AWS SageMaker Studio and learn the difference between AWS SageMaker JumpStart, SageMaker Autopilot and SageMaker Data Wrangler
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Learn how to write our first code in the cloud using Jupyter Notebooks.
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We will then have a tutorial covering AWS Marketplace object detection algorithms such as Yolo V3
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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
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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?
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