Amazon Web Services (AWS)

The Machine Learning Pipeline on AWS Training

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The Machine Learning Pipeline on AWS

Learn how to use the machine learning (ML) pipeline with Amazon SageMaker through hands-on exercises and four days of instruction. Frame your business problems as ML problems using Amazon SageMaker. Learn how to train, evaluate, tune, and deploy ML models. You’ll also choose a ML project to work on. You will apply the knowledge and skills you learn to your chosen project in each phase of the pipeline.

Training at a glance

Level

Intermediate

Duration

4 Days

Experience

1 year Python and Cloud

Average Salary

$187,000

Labs

Yes

Level

Intermediate

Duration

4 Days

Experience

1 year Python and Cloud

Average Salary

$187,000

Labs

Yes

Training Details

This course is designed to teach you how to:

  • Select an appropriate ML approach for a business problem
  • How to use the ML pipeline to solve a specific business problem
  • How to train, evaluate, deploy, and tune an ML model in Amazon SageMaker
  • The best practices for designing scalable, cost-optimised, and secure ML pipelines in AWS
  • How to apply ML to a real-life problem in your business
Module 1
  • Introduction
  • Pre-assessment.

Module 2
  • Introduction to Machine Learning and the ML Pipeline
  • Overview of machine learning, including use cases, types of machine learning, and key concepts
  • Overview of the ML pipeline
  • Introduction to course projects and approach

Module 3
  • Introduction to Amazon SageMaker
  • Introduction to Amazon SageMaker
  • Demo and hands- on lab: Amazon SageMaker and Jupyter notebooks

Module 4
  • Problem Formulation
  • Overview of problem formulation and deciding if ML is the right solution
  • Converting a business problem into an ML problem
  • Demo and hands- on lab: Amazon SageMaker Ground Truth
  • Practice problem formulation
  • Formulate problems for projects

Module 5
  • Preprocessing
  • Overview of data collection and integration, and techniques for data preprocessing and visualisation
  • Practice preprocessing
  • Preprocess project data and discuss project progress

Module 6
  • Model Training
  • Choosing the right algorithm
  • Formatting and splitting your data for training
  • Loss functions and gradient descent for improving your model
  • Demo: Create a training job in Amazon SageMaker

Module 7
  • Model Evaluation
  • How to evaluate classification models
  • How to evaluate regression models
  • Practice model training and evaluation
  • Train and evaluate project models, then present findings

Module 8
  • Feature Engineering and Model Tuning
  • Feature extraction, selection, creation, and transformation
  • Hyperparameter tuning
  • Demo: SageMaker hyperparameter optimisation
  • Practice feature engineering and model tuning
  • Apply feature engineering and model tuning to projects
  • Final project presentations

Module 9
  • Deployment
  • How to deploy, inference, and monitor your model on Amazon SageMaker
  • Deploying ML at the edge
  • Demo: Creating an Amazon SageMaker endpoint
  • Post-assessment Course wrap-up

This course is intended for 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.

We recommend that attendees of this course have:

  • Basic knowledge of Python,
  • Basic understanding of AWS Cloud infrastructure (Amazon S3 and Amazon CloudWatch)

We recommend that attendees of this course have:

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

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From Lean Six Sigma to Project Management Institute Project Management Professional, Agile and SCRUM, we offer the best-in-class strategic planning and project management training available. Work closely with our seasoned multi-decade project managers.
ATA is the leading OffSec and Hack the Box US training provider, and a CompTIA and EC-Council award-winning training partner. We offer the best offensive and defensive cyber training to keep your team ahead of the technology skills curve.
Let us teach your team the high-level traits and micro-level tools & strategies of effective 21st-century leadership. Empower your team to play to each others’ strengths, inspire others and build a culture that values communication, authenticity, and community.