This four-day course explores how to use the iterative machine learning (ML) process pipeline to solve a real business problem in a project-based learning environment. Students will learn about each phase of the process pipeline from instructor presentations and demonstrations and then apply that knowledge to complete a project solving one of three business problems: fraud detection, recommendation engines, or flight delays. By the end of the course, students will have successfully built, trained, evaluated, tuned, and deployed an ML model using Amazon SageMaker that solves their selected business problem.
This intermediate-level course is delivered through a mix of instructor-led training (ILT), hands-on labs, demonstrations, and group exercises.
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What you’ll learn
This course is designed to teach participants how to:
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-optimised, and secure ML pipelines in AWS
Apply machine learning to a real-life business problem after the course is complete
AWS at Lumify Work
Lumify Work is an official AWS Training Partner for Australia, New Zealand, and the Philippines. Through our Authorised AWS Instructors, we can provide you with a learning path that’s relevant to you and your organisation, so you can get more out of the cloud. We offer virtual and face-to-face classroom-based training to help you build your cloud skills and enable you to achieve industry-recognised AWS Certification.
Stay ahead of the technology curve
Don’t let your tech outpace the skills of your people
Train Anywhere
From our state-of-the-art classrooms to telepresence to your offices, our instructor-led training caters to your needs.
Track Record
We have a 30-year history of driving innovative, award-winning learning solutions.
More Courses, More Often
When you train with Lumify Work you get more courses, more often, in more locations, and from more vendors.
Quality Instructors and Content
Expert instructors with real world experience and the latest vendor-approved in-depth course content.
Partner-Preferred Supplier
Chosen and awarded by the world's leading vendors as preferred training partner.
Ahead of the Technology Curve
No matter your chosen technologies or platforms, we can help you stay one step ahead.
Train Anywhere
From our state-of-the-art classrooms to telepresence to your offices, our instructor-led training caters to your needs.
Track Record
We have a 30-year history of driving innovative, award-winning learning solutions.
More Courses, More Often
When you train with Lumify Work you get more courses, more often, in more locations, and from more vendors.
Quality Instructors and Content
Expert instructors with real world experience and the latest vendor-approved in-depth course content.
Partner-Preferred Supplier
Chosen and awarded by the world's leading vendors as preferred training partner.
Ahead of the Technology Curve
No matter your chosen technologies or platforms, we can help you stay one step ahead.
Train Anywhere
From our state-of-the-art classrooms to telepresence to your offices, our instructor-led training caters to your needs.
Track Record
We have a 30-year history of driving innovative, award-winning learning solutions.
More Courses, More Often
When you train with Lumify Work you get more courses, more often, in more locations, and from more vendors.
Who is the course for?
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 can also deliver and customise this training course for larger groups – saving your organisation time, money and resources. For more information, please contact us on 1800 U LEARN (1800 853 276)
Course subjects
Module 1: 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 2: Introduction to Amazon SageMaker
Introduction to Amazon SageMaker
Demo: Amazon SageMaker and Jupyter notebooks
Hands-on: Amazon SageMaker and Jupyter notebooks
Module 3: Problem Formulation
Overview of problem formulation and deciding if ML is the right solution
Converting a business problem into an ML problem
Demo: Amazon SageMaker Ground Truth
Hands-on: Amazon SageMaker Ground Truth
Practice problem formulation
Formulate problems for projects
Module 4: Preprocessing
Overview of data collection and integration, and techniques for data preprocessing and visualisation
Practice preprocessing
Preprocess project data and discuss project progress
Class discussion about projects
Module 5: 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 6: 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
Initial project presentations
Module 7: 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 8: 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
Please note: This is an emerging technology course. Course outline is subject to change as needed.
Prerequisites
It is recommended that attendees have the following 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
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Terms & Conditions
The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.
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By submitting an enquiry, you agree to our privacy policy and receiving email and other forms of communication from us. You can opt-out at any time.
Don’t let your tech outpace the skills of your people
Train Anywhere
From our state-of-the-art classrooms to telepresence to your offices, our instructor-led training caters to your needs.
Track Record
We have a 30-year history of driving innovative, award-winning learning solutions.
More Courses, More Often
When you train with Lumify Work you get more courses, more often, in more locations, and from more vendors.
Quality Instructors and Content
Expert instructors with real world experience and the latest vendor-approved in-depth course content.
Partner-Preferred Supplier
Chosen and awarded by the world's leading vendors as preferred training partner.
Ahead of the Technology Curve
No matter your chosen technologies or platforms, we can help you stay one step ahead.
Train Anywhere
From our state-of-the-art classrooms to telepresence to your offices, our instructor-led training caters to your needs.
Track Record
We have a 30-year history of driving innovative, award-winning learning solutions.
More Courses, More Often
When you train with Lumify Work you get more courses, more often, in more locations, and from more vendors.
Quality Instructors and Content
Expert instructors with real world experience and the latest vendor-approved in-depth course content.
Partner-Preferred Supplier
Chosen and awarded by the world's leading vendors as preferred training partner.
Ahead of the Technology Curve
No matter your chosen technologies or platforms, we can help you stay one step ahead.
Train Anywhere
From our state-of-the-art classrooms to telepresence to your offices, our instructor-led training caters to your needs.
Track Record
We have a 30-year history of driving innovative, award-winning learning solutions.
More Courses, More Often
When you train with Lumify Work you get more courses, more often, in more locations, and from more vendors.
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