Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
5 Hour(s) 34 Minute(s)
Language
English
Taught by
Qasim Shah, Syed Raza
Rating
Course Overview
A comprehensive look into Machine Learning using Dynamic Programming, Python and SageMaker service offered by Amazon AWS
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
Course Content
- 10 section(s)
- 46 lecture(s)
- Section 1 Introduction
- Section 2 Working with Jupyter Notebooks
- Section 3 Test your Jupyter Knowledge
- Section 4 Machine Learning
- Section 5 Machine Learning Quiz
- Section 6 Reinforcement Learning
- Section 7 Reinforcement Learning Quiz
- Section 8 Machine Learning in AWS
- Section 9 AWS SageMaker
- Section 10 SageMaker Quiz
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
Skills covered in this course
Reviews
-
MMathew Kargarzadeh
Good course for the beginner like me. this is more suited for data scientist analyst. Thank you.
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AAWS Cloud Team Stratogent
The course is too basic and not easy to understand. It does not give any clue to understand to people who are not from ML background
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VVikrant Rajput
its have more machine learning part and less aws part
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SShikhar Mani Tripathi
A very insightful course
