Machine Learning with Jupyter Notebooks in Amazon AWS

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

Instructed by Qasim Shah

  • Includes all Standard Features
  • Get Unlimited access to all the courses
  • No Contract. Cancel Anytime
Starting in just $19 / mo see all plans
Subscribe Now
$ 299
Annual Subscription
  • One year Unlimited Access
  • Access to all courses
    You will be able to access all the courses from any category on the platform.
  • Learning paths access
  • Access Assignments & Projects
  • Access on Mobile, PC and Tablet
  • Pause & Resume Courses Anytime
  • Offline viewing
  • Instructor Support
  • Course Completion Certificates
  • Cancel Anytime
Subscribe Now
  • 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

 Are you a company or a IT administrator, data center architectconsultant, 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:

  1. Machine Learning topics

  2. Jupyter Notebooks

  3. Reinforcement Learning

  4. Machine Learning Services in AWS

  5. AWS Sagemaker

  6. Dynamic Programming

  7. Q-Learning

  8. 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

  • Minimum free tier AWS account access
  • Beginner IT professionals who want to get in the forefront of the Artificial Intelligence and Machine Learning game
View More...

Section 1 : Introduction

  • Lecture 1 :
  • Lecture 2 :
  • Where is Machine Learning Going
  • Lecture 3 :
  • Creating a billing alarm in AWS

Section 2 : Machine Learning

  • Lecture 1 :
  • Basics of Machine Learning
  • Lecture 2 :
  • Supervised Learning
  • Lecture 3 :
  • Unsupervised Learning
  • Lecture 4 :
  • Deep Neural Networks
  • Lecture 5 :
  • Neural Network Techniques
  • Lecture 6 :
  • Reinforcement Learning
  • Lecture 7 :
  • Reinforcement Learning in action

Section 3 : Reinforcement Learning

  • Lecture 1 :
  • Modeling an environment
  • Lecture 2 :
  • What is dynamic programming
  • Lecture 3 :
  • A deeper look at Q-Learning
  • Lecture 4 :
  • Q-Learning: Trying to find the shortest path
  • Lecture 5 :
  • Q-Learning: Place the queen
  • Lecture 6 :
  • Dynamic Programming in action

Section 4 : Jupyter Notebooks

  • Lecture 1 :
  • What is a notebook and installing Jupyter
  • Lecture 2 :
  • Creating your first Jupyter Notebook through Anaconda
  • Lecture 3 :
  • Jupyter notebook kernels
  • Lecture 4 :
  • Data analysis in Jupyter
  • Lecture 5 :
  • Plotting with Matplotlib

Section 5 : Machine Learning in AWS

  • Lecture 1 :
  • The AWS ML Service
  • Lecture 2 :
  • First steps in building a ML model
  • Lecture 3 :
  • Understanding AWS datasources
  • Lecture 4 :
  • ML Training Models
  • Lecture 5 :
  • Importance of Feature Transformation
  • Lecture 6 :
  • Evaluating Models
  • Lecture 7 :
  • Creating datasources and models
  • Lecture 8 :
  • Serverless AWS Inference with Lambda

Section 6 : AWS SageMaker

  • Lecture 1 :
  • What is SageMaker
  • Lecture 2 :
  • Setting up AWS to use SageMaker
  • Lecture 3 :
  • Machine Learning in SageMaker
  • Lecture 4 :
  • Intro to Linear Learner
  • Lecture 5 :
  • Preparing data for linear learner
  • Lecture 6 :
  • Training data using Linerar Learner
  • Lecture 7 :
  • Creating a hyperparameter tuning job

Qasim Shah,

Technology evangelist. Digitization Expert. AI Aficionado! From building digital products, digitizing customer experience for buyers and users to building vertical and horizontal digital offerings utilizing Artificial Intelligence, the passion that I bring to an organization coupled with being a dedicated, self-motivated, technical, and dynamic professional is reflective of my experience, knowledge, skills, and abilities acquired during the past 18 years. With technical certifications from AWS along with MCSE, CCNA and MCP, I have been able to accelerate value generation through innovation and digitization to realize robust profitable growth for both established and new business propositions on a global scale    As an enterprise architect consulting with global companies, technology evangelist, and brand innovator, I have designed, created, and implemented enterprise level projects. Expert in AWS enterprise cloud technologies, Azure ML, Blockchain, Hyperledger, Windows Server 2016 & 2019 beta deployment, configuration and management AWS Rekognition and IoT development with Rasberry Pi and Arduino Out-of-the-box thinking? For me there is no box! - So what are you waiting for? Sign up to my courses and join me in this amazing journey today. 
View More...

Designing Architectures in AWS

By : Qasim Shah

Lecture 12


Google Cloud Platform (GCP) for AWS...

By : Joseph Holbrook

Lecture 42


Developing with S3_ AWS with Python...

By : Niyazi Erdogan

Lecture 40


VPC Solutions with EC2 for Producti...

By : Niyazi Erdogan

Lecture 51


Work with RDS and DynamoDB_ AWS wit...

By : Niyazi Erdogan

Lecture 49


Working with SQS and SNS_ AWS with ...

By : Niyazi Erdogan

Lecture 49



Enjoy Limitless Learning. Get Access to Unlimited Courses with Premium Subscrption Subscribe Now

Sign up and start learning
By signing up. you agree to our Terms of Use and Privacy Policy
Forget Password