Description
The “AWS Certified Machine Learning – Specialty (MLS-C01)” course is designed to provide you with the comprehensive skills and knowledge required to build, implement, and manage machine learning (ML) solutions on the AWS platform. This course prepares you for the MLS-C01 certification exam, equipping you with practical experience and theoretical insights into AWS’s machine learning services and tools.What You Will Learn:
- Introduction to Machine Learning on AWS:
- Understand the fundamentals of machine learning, including key concepts such as supervised and unsupervised learning, data preprocessing, and model evaluation.
- Explore the machine learning lifecycle and the role of AWS in facilitating each stage.
- Data Engineering for Machine Learning:
- Learn how to collect, clean, and prepare data for analysis using AWS services like Amazon S3, AWS Glue, and Amazon RDS.
- Master techniques for feature engineering and selection to optimize model performance.
- Building and Training Models:
- Dive into model training using Amazon SageMaker, focusing on building, training, and fine-tuning models using built-in algorithms and custom scripts.
- Explore hyperparameter tuning and optimization techniques to improve model accuracy and efficiency.
- Deep Learning and Neural Networks:
- Understand the principles of deep learning and its applications in various domains.
- Utilize AWS services like Amazon SageMaker and GPU instances to build and train deep learning models using frameworks such as TensorFlow and PyTorch.
