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The Machine Learning Pipeline on AWS

  • Tuition USD $2,700
  • Reviews star_rate star_rate star_rate star_rate star_half 488 Ratings
  • Course Code AWS-ML-PL
  • Duration 4 days
  • Available Formats Classroom, Virtual

Learn how to use the machine learning (ML) pipeline with Amazon SageMaker with hands-on exercises and four days of instruction. You will learn how to frame your business problems as ML problems and use Amazon SageMaker to train, evaluate, tune, and deploy ML models. Hands-on learning is a key component of this course, so you’ll choose a project to work on, and then apply the knowledge and skills you learn to your chosen project in each phase of the pipeline. You’ll have a choice of projects: fraud detection, recommendation engines, or flight delays.

Skills Gained

  • Select and justify the appropriate ML approach for a given business problem
  • Use the ML pipeline to solve a specific business problem
  • Train, evaluate, deploy, and tune an ML model in Amazon SageMaker
  • Describe some of the best practices for designing scalable, cost-optimized, and secure ML pipelines in AWS
  • Apply machine learning to a real-life business problem after the course is complete

Who Can Benefit

  • Developers
  • Solutions architects
  • Data engineers
  • Anyone who wants to learn about the ML pipeline via Amazon SageMaker, even if you have little to no experience with machine learning

Prerequisites

  • Basic knowledge of Python
  • Basic understanding of AWS Cloud infrastructure (Amazon S3 and Amazon CloudWatch)
  • Basic understanding of working in a Jupyter notebook environment

Course Details

Day 1

  • Module 0: Introduction
  • Module 1: Introduction to Machine Learning and the ML Pipeline
  • Module 2: Introduction to Amazon SageMaker
  • Module 3: Problem Formulation

Day 2

  • Module 3: Problem Formulation (continued)
  • Module 4: Preprocessing

Day 3

  • Module 5: Model Training
  • Module 6: Model Evaluation

Day 4

  • Module 7: Feature Engineering and Model Tuning
  • Module 8: Deployment

How do I enroll?

A comprehensive listing of ExitCertified courses can be found here. You can register directly for the required course/location when you select "register". If you have any questions or prefer to speak with an ExitCertified education consultant directly, please submit your query here. A representative will contact you shortly.

How do I pay for a class?

You can pay at the time of registration using credit card (Mastercard/Visa/American Express) cheque or PO.

What if I have training credits?

ExitCertified honors all savings programs from the partners we work with. ExitCertified also offers training credits across multiple partners through our FLEX Account.

When does class start/end?

Classes begin promptly at 9:00 am, and typically end at 5:00 pm.

Lunchtime?

Lunch is normally an hour long and begins at noon. Coffee, tea, hot chocolate and juice are available all day in the kitchen. Fruit, muffins and bagels are served each morning. There are numerous restaurants near each of our centers, and some popular ones are indicated on the Area Map in the Student Welcome Handbooks - these can be picked up in the lobby or requested from one of our ExitCertified staff.

How can someone reach me during class?

If someone should need to contact you while you are in class, please have them call the center telephone number and leave a message with the receptionist.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

Thank you for the opportunity which let me enjoy the Core Spring class. Looking forward for more classes

Eylem Uysal is an awesome instructor, very knowledgeable and perfect tutor.

Instructor was engaging, very knowledgeable, and explained things clearly. Labs were helpful in getting used to the tools that were being taught. Course location (Atlanta Microtek facility) was very comfortably set up. I'd definitely recommend this to anyone learning a new skill. (I took the 3-day AWS Big Data training).

The course material and instructor were very good. easy to follow, lab was setup nicely and was able to complete most of the lab material.
The Koretex App is absolute garbage and very cumbersome to use on a tablet/ipad. A PDF file would be 100 times better than that atrocious app.
As a recommendation this class should be 5 days instead of 4 as some chapters had to be rushed.

Very good class. Ken (the instructor) is very knowledgeable and has great industry experience as well

5 options available

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  • Aug 31, 2020 Sep 3, 2020 (4 days)
    Location
    iMVP
    Language
    English
    Time
    9:00AM 5:00PM EDT
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  • Oct 6, 2020 Oct 9, 2020 (4 days)
    Location
    iMVP
    Language
    English
    Time
    9:00AM 5:00PM PDT
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  • Oct 27, 2020 Oct 30, 2020 (4 days)
    Location
    iMVP
    Language
    English
    Time
    9:00AM 5:00PM EDT
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  • Nov 16, 2020 Nov 19, 2020 (4 days)
    Location
    iMVP
    Language
    English
    Time
    9:00AM 5:00PM EST
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    Enroll
  • Dec 14, 2020 Dec 17, 2020 (4 days)
    Location
    iMVP
    Language
    English
    Time
    9:00AM 5:00PM CST
    Enroll
    Enroll
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