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Instructor-led training
Machine Learning with Amazon SageMaker Training in London and Live Online

Machine Learning with Amazon SageMaker

Build and evaluate a machine learning workflow with Amazon SageMaker AI. Work with sample data, training jobs, model evaluation and deployment while considering security and operating cost.

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Price:
Price on request

Contact us for current fees, dates and exam arrangements.

Intermediate

Python skills, basic machine learning concepts and familiarity with AWS access and storage.

5 days to complete
Available online
& in class

Select your preferred method

Course overview
Course dates
  • In Classroom
  • Live Virtual
  • 1 - 1 Training
  • Corporate Training
  • Onsite Training
Introduction
Build and evaluate a machine learning workflow with Amazon SageMaker AI. Work with sample data, training jobs, model evaluation and deployment while considering security and operating cost.


This instructor-led course combines clear explanations with guided exercises and practical scenarios. Work through examples relevant to the subject, review alternative approaches and practise checking your results rather than relying on a demonstration alone.
You will develop a structured approach to implementation, troubleshooting and documentation. The trainer can adapt examples to the agreed learning needs and available training environment. Confirm the course duration, software or lab requirements, delivery arrangements and fees with London IT Training before booking.
This is professional development training. It does not automatically award a third-party vendor certification.
What the course covers
Flexible Ways to Learn

Study your way with flexible learning options designed to fit around your schedule.

Small Groups

With small groups of students, our instructors can work closely with each student

Flexible Class Schedules

Our class schedules are flexible on weekdays, weekend or evening to suit your schedule.

Experienced Instructors

Our instructors follow a modified and personalised approach to engage students during class

Hi-Tech lab Facilities

Lab arrangements vary by course. Confirm access and equipment requirements before booking.

Prerequisites
What you’ll gain

Apply data preparation and exploration in a practical course exercise.

Apply training workflows in a practical course exercise.

Apply model evaluation in a practical course exercise.

Apply deployment patterns in a practical course exercise.

Develop skills for your next step
Relevant career pathways
Technical Practitioner:

Apply the course skills to relevant technical tasks.

Technical Consultant:

Assess requirements and recommend practical implementation choices.

Syllabus

Course context and practical foundations
Review the course objectives and relevant concepts. Set up a suitable training environment, identify a realistic example and agree how to validate the results.

Inspect sample datasets, identify leakage and prepare reproducible training and validation splits.

Configure a training job and compare experiment settings. Track inputs, parameters and output artefacts.

Choose metrics that fit the business problem. Analyse errors, bias risks and limitations before deployment.

Compare managed endpoints and batch inference. Plan authentication, scaling and application integration.

Inspect prediction quality and operational metrics. Define responses to drift, failures and changing requirements.

Protect data and artefacts, apply least privilege and clean up resources. Estimate training and inference costs.

Complete an integrated exercise using sample data or an isolated training environment. Test the result, document decisions and troubleshooting steps, and identify improvements and next learning objectives.

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FAQs

Who is this course for?
Build and evaluate a machine learning workflow with Amazon SageMaker AI. Work with sample data, training jobs, model evaluation and deployment while considering security and operating cost.

Python skills, basic machine learning concepts and familiarity with AWS access and storage.

Data preparation and exploration; Training workflows; Model evaluation; Deployment patterns; Model monitoring; Security and cost management.

No. This is professional development training. It does not automatically award a third-party vendor certification.

Contact London IT Training to discuss classroom, live online and corporate delivery arrangements.

Contact the training team for current duration, available dates, fees and software or lab requirements. Do not assume that licences, materials or examination fees are included.

Need help choosing the right course?

Talk to one of our advisers about dates, delivery options and certification routes. We’ll call you back within 1 working day.

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