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Machine Learning with Jupyter Notebooks in Amazon AWS

Name: Machine Learning with Jupyter Notebooks in Amazon AWS
Rating: 4.1 (86 reviews)

A comprehensive look into Machine Learning using Dynamic Programming, Python and SageMaker service offered by Amazon AWS

Created byQasim Shah, Syed Raza

Last updated 11/2021

English

What you'll learn

Be able to define machine learning
Learn about the different types of machine learning algorithms
Get a closer look at deep learning and reinforcement learning
Learn how Jupyter Notebooks work
Learn how AWS Sagemaker does machine learning
Go through the process of implement a machine learning model on data
Learn how AWS Comprehend contributes to Machine Learning
Learn how to analyze documents with AWS Comprehend

Course content

11 sections • 46 lectures • 5h 34m total length

Course Agenda3:32
This is the promo and brief course agenda
Where is Machine Learning and AI going5:27
In this lecture you will read about the current trends of AI and Machine learning
Creating a billing alert5:06
AWS Unified Search - New in AWS Management Console5:47
In this lecture you will learn the New AWS Management Console
*NEW* EC2 Dashboard Experience4:01
*NEW* EC2 Dashboard Experience

What is a notebook and installing Jupyter4:19
In this lecture student will learn about Jupyter notebooks and learn how to install it
Creating your first Jupyter Notebook through Anaconda7:36
In this lecture student will learn how to create a jupyter notebook
A closer look at Jupyter Kernals5:20
In this lecture student will learn about the different kernels used by Jupyter
Data analysis in Jupyter6:43
In this lecture student will learn how analyze data in Jupyter
Plotting with Matplotlib in Jupyter3:43
In this lecture student will learn about the matplotlib function

Reinforcement Learning6:19
In this lecture student will learn about reinforcement learning
Reinforcement Learning in action6:48
In this lecture student will get a demonstration of how reinforcement learning works
Basics of Machine Learning7:50
In this lecture student will learn the basics of Machine Learning
Supervised Learning8:46
In this lecture student will learn about supervised learning
Unsupervised Learning9:55
In this lecture student will learn about unsupervised machine learning
Deep Neural Networks13:59
In this lecture student will learn about deep neural networks
Neural Network Techniques20:50
In this lecture student will learn about the different techniques used in deep neural networks

The AWS Machine Learning Service7:25
In this lecture students will learn about the Machine Learning service offered by AWS
First steps in building a ML Model10:45
In this lecture students will learn about the steps involved to start creating a machine learning model
Understanding AWS Datasources9:54
In this lecture students will learn about the datasources that make up the machine learning model in AWS
ML Training Models7:24
In this lecture students will learn about the model algorithms
Importance of Feature Transformation6:26
In this lecture students will learn about feature transformation and why it is important to machine learning
Evaluating Models13:40
In this lecture students will learn about how to evaluate machine learning models
Preparing data for Machine Learning3:33
In this lecture students will learn how to prepare data for injestion into a machine learning model
Creating a datasource and model in AWS7:01
In this lecture students will learn how to create a datasource and model in AWS
Serverless ML Inference with AWS Lambda8:31
In this lecture students will learn how to provision a serverless machine learning inference model using AWS Lambda

What is SageMaker5:00
In this lecture student will learn about AWS SageMaker basics
Setting up AWS to use SageMaker12:11
In this lecture student will learn how to setup an account in AWS and get it ready for SageMaker
Machine Learning in SageMaker5:30
In this lecture student will learn how AWS looks at Machine Learning
Intro to Linear Learner5:27
In this lecture student will learn about the Linear Learner algorithm
Preparing data for Linear Learner algorithm6:43
In this lecture student will learn how to prepare data using linear learner
Training data using Linear Learner7:18
In this lecture student will learn how to train data using linear learner
Creating a hyperparameter tuning job9:54
In this lecture student will learn how to prepare and train data by using HyperParameter

Requirements

Basic knowledge of AWS services
Valid AWS account is required, that is, a credit card is required to open an AWS account

Description

Are you a company or a IT administrator, data center architect, consultant, enterprise architect, data protection officer, programmer, data security specialist, or big data analyst and want to gain fundamental and intermediate level skills and enjoy a fascinating high paying career?

Or maybe you just want to learn additional tips and techniques taking to a whole new level?

Welcome to Machine Learning, Reinforcement Learning and AWS course For Beginners. A one of its kind course

The flipped classroom model with hand-on learning will help you experience direct into the course as your begin your learning journey. Be sure to watch the preview lectures that set course expectations

In this course, you'll learn and practice:

Machine Learning topics
Jupyter Notebooks
Reinforcement Learning
Machine Learning Services in AWS
AWS Sage maker
Dynamic Programming
Q-Learning
Understand best practices, and much more

You will also get complete resources, toolkit, and code where applicable with this course! We've built this course with our Team ClayDesk of industry recognized developers and consultants to bring you the best of everything

So, if you would like to:

start your freelancing career and consult companies, this course is for you
gain marketable skills as an IT expert and professional, this course is for you

This course is not designed for advanced level students

This Machine Learning, Reinforcement Learning and AWS course is exactly what you need, and more. You’ll even get a certification of completion

See what our students say “It is such a solid course that covers all important areas of machine learning, and I now know hoe to predict future products based on their features. Simply awesome!.” - Alex Neuman

“This is such an awesome course. I loved every bit of it. Wonderful learning experience!” Ankit Goring.

Join thousands of other students and share valuable experience

Why take this course?

As an enterprise architect consulting with global companies, technology evangelist, and brand innovator, I have designed, created, and implemented enterprise level projects, I am excited to share my knowledge and transfer skills to my students.

Enroll now in Machine Learning, Reinforcement Learning and AWS today and revolutionize your learning. Stay at the cutting edge of Machine Learning and Data Science —and enjoy bigger, brighter opportunities with AWS.

Qasim Shah

Team ClayDesk

Who this course is for:

Beginner IT professionals who want to get in the forefront of the Artificial Intelligence and Machine Learning game
Anyone who is curios about machine learning

Machine Learning with Jupyter Notebooks in Amazon AWS

What you'll learn

Explore related topics

Course content

Introduction5 lectures • 24min

Working with Jupyter Notebooks5 lectures • 28min

Test your Jupyter Knowledge0

Machine Learning7 lectures • 1hr 14min

Machine Learning Quiz0

Reinforcement Learning6 lectures • 39min

Reinforcement Learning Quiz0

Machine Learning in AWS9 lectures • 1hr 15min

AWS SageMaker7 lectures • 52min

SageMaker Quiz0

Requirements

Description

Who this course is for: