AWS SageMaker MasterClass

AWS SageMaker MasterClass, available at $54.99, has an average rating of 4, with 18 lectures, based on 153 reviews, and has 31159 subscribers.

You will learn about Fundamental concepts of Data Science and Machine Learning. Basics of Cloud Computing. Build complete Machine Learning Pipelines using AWS SageMaker. No Code Machine Learning using AWS SageMaker Canvas. This course is ideal for individuals who are Anyone who wants to get started with AWS SageMaker. or Beginner Developers and Data Scientists who to learn about ML services on cloud and enhance their portfolio. or Entrepreneurs and Consultants who want to take their business to next level using the power of AI and ML. or Seasoned Data Scientists and ML Engineers who want to get started with AWS services for building powerful ML products. It is particularly useful for Anyone who wants to get started with AWS SageMaker. or Beginner Developers and Data Scientists who to learn about ML services on cloud and enhance their portfolio. or Entrepreneurs and Consultants who want to take their business to next level using the power of AI and ML. or Seasoned Data Scientists and ML Engineers who want to get started with AWS services for building powerful ML products.

Enroll now: AWS SageMaker MasterClass

Summary

Title: AWS SageMaker MasterClass

Price: $54.99

Average Rating: 4

Number of Lectures: 18

Number of Published Lectures: 18

Number of Curriculum Items: 18

Number of Published Curriculum Objects: 18

Original Price: ₹999

Quality Status: approved

Status: Live

What You Will Learn

Fundamental concepts of Data Science and Machine Learning.
Basics of Cloud Computing.
Build complete Machine Learning Pipelines using AWS SageMaker.
No Code Machine Learning using AWS SageMaker Canvas.

Who Should Attend

Anyone who wants to get started with AWS SageMaker.
Beginner Developers and Data Scientists who to learn about ML services on cloud and enhance their portfolio.
Entrepreneurs and Consultants who want to take their business to next level using the power of AI and ML.
Seasoned Data Scientists and ML Engineers who want to get started with AWS services for building powerful ML products.

Target Audiences

Anyone who wants to get started with AWS SageMaker.
Beginner Developers and Data Scientists who to learn about ML services on cloud and enhance their portfolio.
Entrepreneurs and Consultants who want to take their business to next level using the power of AI and ML.
Seasoned Data Scientists and ML Engineers who want to get started with AWS services for building powerful ML products.

Are you someone who wants to start their journey with AWS SageMaker – a cloud based service for building and deploying powerful Machine Learning products, then this course is for you.

Machine Learning is the future one of the top tech fields to be in right now! Machine Learning is widely adopted in Finance, banking, healthcare and technology. The field is exploding with opportunities and career prospects.

AWS is the one of the most widely used cloud computing platforms in the world and several companies depend on AWS for their cloud computing purposes. AWS SageMaker is a fully managed service offered by AWS that allows data scientist and AI practitioners to train, test, and deploy AI/ML models quickly and efficiently.

What will you learn ?

Fundamental concepts of Data Science and Machine Learning.
Build Machine Learning Models locally using sklearn.
Model Evaluation metrics like accuracy, precision, MAE etc…
HyperParameter Optimization for better performance of ML models.
Basics of Cloud Computing.
What and Why of Cloud Computing.
What is AWS ?
Different Services provided by AWS.
AWS SageMaker – A complete solution to build and deploy powerful ML products on cloud.
Build in deploy Machine Learning Projects on Cloud.
Learn about powerful built in Machine Learning Algorithms in AWS SageMaker.
No CODE Machine Learning using AWS SageMaker Canvas.
AWS SageMaker marketplace – a place to buy state of the art pretrained ML models for direct use.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Course Overview and Key Learning Outcomes

Chapter 2: Machine Learning Concepts

Lecture 1: Introduction to Machine Learning

Lecture 2: Machine Learning Life Cycle

Lecture 3: Regression in Machine Learning

Lecture 4: Classification in Machine Learning

Lecture 5: Machine Learning Pipeline

Lecture 6: HyperParameter Tuning in Machine Learning

Lecture 7: Model Evaluation Metrics

Chapter 3: Cloud Computing

Lecture 1: Introduction to Cloud Computing

Lecture 2: How to get started with AWS

Lecture 3: Different AWS services

Chapter 4: AWS SageMaker

Lecture 1: Introduction to AWS SageMaker

Lecture 2: First ML Project on AWS SageMaker Notebook Instance

Lecture 3: Built in Algorithms in Sagemaker

Lecture 4: Linear Learner Practical Example

Lecture 5: No Code ML using AWS SageMaker Canvas

Lecture 6: AWS SageMaker MarketPlace

Instructors

Raj Chhabria
Computer Science Engineer with Specialization in DataScience

Rating Distribution

1 stars: 5 votes
2 stars: 7 votes
3 stars: 24 votes
4 stars: 60 votes
5 stars: 57 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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