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Course : Amazon Web Services (AWS) - Practical Data Science with Amazon SageMakerOfficial AWS course
Practical course - 1d
- 7h00 - Ref. PDW
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 | Discuss the advantages of different types of ML for solving business problems |
| Describe the processes, roles and responsibilities of a team to design and deploy machine learning systems |
| Explain how data scientists use AWS tools and ML to solve a common business problem |
| Summarize the steps a data scientist takes to prepare data |
| Summarize the steps a data scientist takes to train ML models |
| Summarize the steps a data scientist takes to evaluate and optimize ML models |
| Summarize the steps involved in deploying a model on an endpoint and generating predictions |
| Describe the challenges involved in operationalizing ML models |
| Linking AWS tools to their ML function |
Intended audience
Application developers, Devops engineers.
Prerequisites
Completion of the "AWS Technical Essentials" course. Basic knowledge of the Python programming language and statistics.
Certification
Official course without certification.
Comment passer votre examen ?
Comment passer votre examen ?
Practical details
Teaching methods
Training in French. Official course material in English and digital format. Good understanding of written English.
Course schedule
1 Introduction to machine learning
- The benefits of machine learning.
- Types of machine learning approaches.
- Framing a business problem.
- Prediction quality.
- Processes, roles and responsibilities in machine learning projects.
2 Introduction to data preparation
- Data analysis and preparation.
- Data preparation tools.
- Demonstration: review of Amazon SageMaker Studio and Notebooks.
Hands-on work
Prepare data using SageMaker Data Wrangler.
3 Entraîner un modèle
- Steps for training a model.
- Choose an algorithm.
- Train a model in Amazon SageMaker.
- Amazon CodeWhisperer.
- Demonstration: Amazon CodeWhisperer in SageMaker Studio Notebooks.
Hands-on work
Train a model with Amazon SageMaker.
4 Evaluating and optimizing a model
- Model evaluation.
- Model tuning and hyperparameter optimization.
Hands-on work
Model optimization and hyperparameter optimization with Amazon SageMaker.
5 Deploying a model
- Model deployment.
Hands-on work
Deploy a model on an endpoint in real time and generate a prediction.
6 Operational challenges
- ML responsible.
- ML and MLOps teams.
- Automation.
- Monitoring.
- Model updating (model testing and deployment).
7 Other model-building tools
- Different tools for different skills and business needs.
- No-code machine learning with Amazon SageMaker Canvas.
- Demonstration: presentation of Amazon SageMaker Canvas.
- Amazon SageMaker Studio Lab.
- Demonstration: presentation of SageMaker Studio Lab.
Hands-on work
Integrate a web application with an Amazon SageMaker model endpoint (optional).
PARTICIPANTS
Application developers, Devops engineers.
PREREQUISITES
Completion of the "AWS Technical Essentials" course. Basic knowledge of the Python programming language and statistics.
TRAINER QUALIFICATIONS
The experts who lead the training courses are specialists in the subjects covered. They are approved by the publisher and certified for the course. They have also been validated by our teaching teams in terms of both professional knowledge and teaching skills for each course they teach. They have at least three to ten years of experience in their field and hold or have held positions of responsibility in companies.
TERMS AND DEADLINES
Registration must be completed 24 hours before the start of the training course.
ACCESSIBILITY FOR PEOPLE WITH DISABILITIES
Do you have specific accessibility requirements? Contact Ms FOSSE, disability advisor, at the following address: psh-accueil@orsys.fr so that we can assess your request and its feasibility.
Application developers, Devops engineers.
PREREQUISITES
Completion of the "AWS Technical Essentials" course. Basic knowledge of the Python programming language and statistics.
TRAINER QUALIFICATIONS
The experts who lead the training courses are specialists in the subjects covered. They are approved by the publisher and certified for the course. They have also been validated by our teaching teams in terms of both professional knowledge and teaching skills for each course they teach. They have at least three to ten years of experience in their field and hold or have held positions of responsibility in companies.
ASSESSMENT TERMS
Assessment of targeted skills prior to training.
Assessment by the participant, at the end of the training course, of the skills acquired during the training course.
Validation by the trainer of the participant's learning outcomes, specifying the tools used: multiple-choice questions, role-playing exercises, etc.
At the end of each training course, ITTCERT provides participants with a course evaluation questionnaire, which is then analysed by our teaching teams. Participants also complete an official evaluation of the publisher.
An attendance sheet for each half-day of attendance is provided at the end of the training course, along with a certificate of completion if the participant has attended the entire session.
Assessment of targeted skills prior to training.
Assessment by the participant, at the end of the training course, of the skills acquired during the training course.
Validation by the trainer of the participant's learning outcomes, specifying the tools used: multiple-choice questions, role-playing exercises, etc.
At the end of each training course, ITTCERT provides participants with a course evaluation questionnaire, which is then analysed by our teaching teams. Participants also complete an official evaluation of the publisher.
An attendance sheet for each half-day of attendance is provided at the end of the training course, along with a certificate of completion if the participant has attended the entire session.
TEACHING AIDS AND TECHNICAL RESOURCES
The teaching resources used are the publisher's official materials and practical exercises.
The teaching resources used are the publisher's official materials and practical exercises.
TERMS AND DEADLINES
Registration must be completed 24 hours before the start of the training course.
ACCESSIBILITY FOR PEOPLE WITH DISABILITIES
Do you have specific accessibility requirements? Contact Ms FOSSE, disability advisor, at the following address: psh-accueil@orsys.fr so that we can assess your request and its feasibility.
Dates and locations
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Remote class
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Date garantie en présentiel ou à distance
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