Overview
Accelerate your digital transformation with official AWS training by Recube
Level: Intermediate
Duration: 1 Day
Delivery Method: Virtual Classroom
The Practical Data Science with Amazon SageMaker course will help you, as a Developer or DevOps Engineer, understand the foundations of Machine Learning (ML) and the steps required to build ML models using Amazon SageMaker Studio. In this one-day, instructor-led training, an authorized AWS expert will guide you through data preparation, as well as training, evaluating, tuning, and deploying ML models.
In this course, you will learn how to:
- Discuss the benefits of different types of Machine Learning for solving business problems.
- Describe the typical processes, roles, and responsibilities within a team that builds and deploys ML systems.
- Explain how Data Scientists leverage AWS tools and Machine Learning to solve common business challenges.
- Summarize the steps a Data Scientist takes to prepare data, then train, evaluate, tune, and deploy ML models....and much more.
Who should attend:
- DevOps Engineers
- Application Developers
Prerequisites:
- Completion of the AWS Technical Essentials course (classroom or digital).
- Basic knowledge of Python programming.
- Basic knowledge of statistics.
Highlights
- AWS Official Training Classrooms, delivered in Italian and English by Amazon Authorized Instructors who manage real-world AWS projects daily
- Design a personalized curriculum tailored to your specific strengths and career goals through our highly flexible learning pathway. Select from a wide range of AWS courses and modules to build your unique journey, with the option to attend either remotely or in-person.
- Certification Acceleration: Receive targeted preparation designed to fast-track your AWS Certification success. Our experts share exclusive exam tips and efficiency strategies to help you pass confidently and validate your team's technical expertise.
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Pricing
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We facilitate a vibrant community on Discord, where you can engage with trainers, experts, and fellow students from your class. This community provides a platform for discussions, knowledge sharing, and collaboration. You will have the opportunity to connect with others who share your interests and can provide valuable insights and support throughout the training or if you prefer you can write an email to** training@recube.it **