Making Intellectuals Meet Excellence!
Master Machine Learning on AWS
The Machine Learning Pipeline on AWS certification validates the ability to build, train, tune, and deploy machine learning models using AWS services. It's about understanding the mechanisms of data collection, storage, processing, and analysis in order to create insightful predictions. This certification ensures knowledge of AWS machine learning algorithms and their implementation. It's used by businesses across industries to leverage machine learning capabilities to improve efficiency, predictive accuracy, and business outcomes. AWS offers a complete set of tools and services to facilitate this, including data lakes, data warehouses, and business intelligence tools. These skills are essential to stay competitive in the digital economy.
Course Prerequisites
- Knowledge of AWS services and architecture
- Familiarity with programming languages, preferably Python or Java
- Experience with basic SQL and database concepts
- Background in statistics and data analysis
- Practical experience in developing, training, and validating ML models
- AWS Certified Developer or AWS Certified Solutions Architect credential preferred
Curriculum
- 1 Section
- 8 Lessons
- 0 Quizzes
- 32h Duration
Master Machine Learning on AWS
- Introduction to Machine Learning and the ML Pipeline
- Introduction to Amazon SageMaker
- Problem Formulation
- Preprocessing
- Model Training
- Model Evaluation
- Feature Engineering and Model Tuning
- Deployment