Full Course
£160
£400Course Includes:
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Online Study Mode
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450 Hours
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Study at your own Pace
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Completion Certificate
£160
£400Amazon Sage Maker AI Model Training: Level 5 Course
Build a broader understanding of cloud-based machine-learning workflows with this Level 5 Amazon Sage Maker course from Oxford Home Study Centre. The programme examines data preparation, model building and training, evaluation, debugging, deployment and advanced Sage Maker features in a structured online format.
This 450-hour course is designed for learners who want more depth than a short platform introduction. You can compare other subjects in our online course catalogue or explore related programmes in our artificial intelligence course category.
End-to-End Sage Maker Model Development
Amazon Sage Maker AI supports multiple stages of the machine-learning lifecycle, from preparing data and running training jobs to evaluating and deploying models. This course moves beyond introductory setup and examines how those stages connect within a broader workflow.
You will explore model training, debugging, deployment, hyperparameter tuning and customisation alongside the foundations of environment configuration and data preparation. The programme is educational and should not be confused with an official AWS certification unless Amazon Web Services explicitly awards that credential.
Who Should Study This Level 5 Sage Maker Course?
The course may suit aspiring machine-learning practitioners, data scientists, developers, cloud and IT professionals, AI researchers, business analysts working with AI, and students who want a broader understanding of Sage Maker workflows.
Practical Sage Maker work can involve cloud resources, programming and machine-learning concepts, so supporting skills in these areas may help you get more from the subject. If you are completely new to Sage Maker and want a shorter starting point, begin with our free Level 1 Amazon Sage Maker course. If data preparation is your main area of interest, you can also compare our AI Data Preprocessing course.
Flexible Online Study
You can complete the programme online and study at your own pace. There is no requirement to attend a physical classroom, making it possible to organise learning around existing professional and personal commitments.
Free Foundation or Level 5 Sage Maker Course?
The free Sage Maker course is a Level 1, 200-hour introduction with three modules focused on the platform, setup and data preparation. This Level 5 programme provides 450 hours of study across eight modules and continues into model training, evaluation, debugging, deployment, advanced features and project work.
Choose the introductory route if you want to understand the platform before making a larger study commitment. Choose the Level 5 route if you want a broader end-to-end syllabus and more detailed coverage of Sage Maker workflows.
Amazon Sage Maker AI and AWS Costs
The OHSC course fee and Amazon Web Services usage charges are separate. AWS prices Sage Maker AI according to the cloud resources and services used. If you undertake practical work in your own AWS account, review current AWS pricing and shut down resources you no longer need.
Frequently Asked Questions
What is Amazon Sage Maker AI?
Amazon Sage Maker AI is an AWS service used to support data preparation, model building, training, evaluation and deployment within managed cloud-based machine-learning workflows.
What does the Level 5 Sage Maker course cover?
The eight-module syllabus covers Sage Maker introduction and setup, data preparation, model building and training, evaluation and debugging, deployment, advanced features and a final applied project.
How long is the Amazon Sage Maker AI Model Training course?
The estimated study duration is 450 hours, completed online at your own pace.
Does the course cover model deployment?
Yes. Deployment with Sage Maker is a dedicated module following model training and evaluation.
Does the course cover hyperparameter tuning?
Yes. Hyperparameter tuning is included within the advanced features and customisation module.
Do I need previous AWS experience?
No formal entry requirements are listed. However, familiarity with basic cloud, programming and machine-learning concepts can make applied Sage Maker work easier to understand.
Is a completion certificate included?
Yes. The current course package states that a completion certificate is provided after successful completion. Check the current enrolment terms for the exact format and any available upgrades.
Is this an official AWS certification?
No official AWS certification status is stated for this course. OHSC course completion evidence should not be represented as an AWS-issued certification.
Is this an Ofqual-regulated Level 5 qualification?
No regulated qualification status is stated for this programme. The Level 5 course designation, CPD approval and course endorsement should not be treated as equivalent to Ofqual regulation.
How is the Level 5 course different from the free Sage Maker course?
The free course is a Level 1, 200-hour introduction with three modules. This Level 5 programme provides 450 hours across eight modules and extends into model training, evaluation, debugging, deployment, advanced features and project work.
Are AWS Sage Maker usage fees included in the OHSC course price?
The course information does not establish that independent AWS cloud usage is included. AWS operates separate Sage Maker AI pricing, so check AWS costs before creating chargeable cloud resources.
Does completing the course guarantee a machine-learning job?
No. The course can support knowledge development, but employment depends on practical skills, experience, further learning and individual employer requirements.
- Understand how SageMaker supports different stages of the machine-learning lifecycle
- Explore model building with built-in algorithms and custom code
- Explore model deployment through SageMaker hosting and cloud integration
- Connect individual SageMaker tasks into an end-to-end workflow
- Prepare and manage data for model training
- Understand training evaluation and debugging as connected stages of development
- Understand hyperparameter tuning automation and custom algorithm integration
- Apply course concepts through a case study and final project
this course
- Aspiring machine learning engineers
- Data scientists
- AI researchers
- Cloud computing professionals
- Software developers
- IT professionals
- Business analysts working with AI
- Students pursuing careers in AI and ML
Syllabus
Module 1
Introduction to Amazon SageMaker
Module 2
Setting Up and Configuring SageMaker
Module 3
Preparing Data for Model Training
Module 4
Building and Training Machine Learning Models
Module 5
Evaluating and Debugging Models
Module 6
Deploying Models with SageMaker
Module 7
Advanced Features and Customization
Module 8
Case Study and Final Project
Certifications
After you successfully complete Amazon Sage Maker for AI Model Training, we will provide you with a QLS-endorsed certificate and a CPD-accredited certificate, both supplied in PDF format. The cost of these two digital certificates is already included in our course price, so you will not need to make any separate payment to receive them.
Full Course
£160
£400Course Includes:
-
Online Study Mode
-
450 Hours
-
Study at your own Pace
-
Completion Certificate
Key Aspects of Course
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Study Fully Online -
CPD Certificate Included -
Tutor Support Included -
QLS Certificate Included -
Clear Entry Criteria -
Practical Learning -
Study at Your Pace -
Quality Course Materials -
Online Assessments
£160
£400