2150,-€ (excl. VAT)
Cost
3 Days
Duration
Participants will understand how to effectively use AWS services to build and deploy machine learning models. You'll gain skills in data engineering, exploratory data analysis, model building, and operational best practices, preparing you to address real-world machine learning challenges confidently.
Learning Objectives
1-2 years' experience with ML/deep learning workloads on AWS.
Intuition behind basic ML algorithms.
Experience in hyperparameter optimization.
Familiarity with ML and deep learning frameworks.
Knowledge of model-training and deployment best practices.
If you have any doubts regarding the prerequisites, please feel free to reach out to your training advisor for a professional assessment of the course's appropriateness for your educational objectives.
Prerequisites
Data scientists, engineers, and individuals interested in autonomous systems.
Who Should Attend
Join our 3-day intensive course to master machine learning on the AWS Cloud. This accelerated AWS Certified Machine Learning - Specialty course equips you with the skills to design, implement, deploy, and maintain ML models and solutions. Learn to support your business's growth and security by selecting the appropriate ML strategies and AWS services. Dive into feature engineering, data analysis and visualization, and hyperparameter optimization. This course combines in-depth knowledge with practical applications, preparing you to meet the needs of today's data-driven world.
Course Description
Module 1: Data Engineering: Best practices for preparing and processing data.
Module 2: Exploratory Data Analysis: Techniques for understanding and visualizing data.
Module 3: Modelling: Building and selecting machine learning models.
Module 4: Machine Learning Implementation and Operations: Deploying models and maintaining them in production.
Course Outline
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