Course description

This bootcamp is designed for professionals seeking to gain specialized knowledge in machine learning (ML) on AWS. You’ll learn how to build, train, and deploy ML models using AWS services like SageMaker, Rekognition, and Comprehend.
The course covers key concepts such as supervised and unsupervised learning, deep learning, data preprocessing, and feature engineering. You’ll also explore how to work with ML frameworks, including TensorFlow and PyTorch, and implement real-world machine learning projects in the cloud. Additionally, you’ll learn to optimize models, ensure security, and manage ML workflows using AWS. This bootcamp will thoroughly prepare you for the AWS Certified Machine Learning – Specialty exam and provide you with the skills to work on machine learning projects at scale.

What will i learn?

• Fundamentals of machine learning and deep learning algorithms.
• Data preprocessing, feature engineering, and model training with AWS services.
• Building and deploying models with Amazon SageMaker and other AWS ML tools.
• Working with ML frameworks like TensorFlow and PyTorch.
• Model optimization and evaluation techniques.
• Security, governance, and operationalizing ML workflows on AWS.

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