Machine Learning with Jupyter Notebooks in Amazon AWS

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Machine Learning with Jupyter Notebooks in Amazon AWS provided by Udemy is a comprehensive online course, which lasts for 6 hours worth of material. Machine Learning with Jupyter Notebooks in Amazon AWS is taught by Qasim Shah and Syed Raza. Upon completion of the course, you can receive an e-certificate from Udemy. The course is taught in Englishand is Paid Course. Visit the course page at Udemy for detailed price information.

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

    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

    Are you a company or a IT administrator, data center architect,consultant, enterprise architect, data protection officer, programmer, data security specialist, or big data analystand want to gain fundamental and intermediate level skills andenjoy 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 Sage maker

    6. Dynamic Programming

    7. Q-Learning

    8. Understand best practices, andmuch more

    You will alsoget complete resources, toolkit, and code where applicablewith this course!We've built this course with our TeamClayDeskof 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

    ThisMachine Learning, Reinforcement Learning and AWS courseis exactly what you need,and more.You’ll even get acertification of completion

    See what our students say “It is such a solid course that covers all important areas of machine learning, and Inow 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. Wonderfullearning 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, Ihave designed, created, and implemented enterprise level projects, I am excited to share my knowledge and transfer skills to my students.

    Enroll now inMachine 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