AWS Certified Machine Learning – Specialty
Preparatory Course:
The preparatory course for certification AWS Certified Machine Learning – Specialty is aimed at professionals who want to acquire advanced skills in machine learning using the services of Amazon Web Services (AWS). The course covers everything from data collection and preparation to building, training, and deploying Machine Learning (ML) models on AWS, preparing participants for the certification exam.
1. Machine Learning Fundamentals on AWS
- Introduction to the main Machine Learning services on AWS
- Overview of Amazon Sage Maker for model development and training
- Complete ML Workflow: Data Collection, Preparation, Training, and Evaluation
- Fundamental concepts of Machine Learning: Supervised, unsupervised and reinforcement learning
2. Data Collection and Preparation
- Data Collection with Amazon S3, Amazon RDS, and DynamoDB
- Data Preparation and Cleaning with AWS Glue and AWS Data Wrangler
- Using Amazon Athena to Query Data and Prepare for Machine Learning
- Data storage and management in data lakes on AWS
3. Creating and Training Machine Learning Models
- Model Training with Amazon SageMaker
- Using pre-trained and custom algorithms in SageMaker
- Hyperparameter optimization and ML model tuning
- Distributing training loads across multiple servers with SageMaker
4. Model Evaluation and Adjustment
- Performance evaluation of ML models
- Using validation and testing metrics for model adjustments
- Implementation of overfitting and underfitting techniques
- Implementing automated pipelines with SageMaker Pipelines
5. Model Deployment and Monitoring
- Deploying Models to Production with Amazon SageMaker
- Using endpoints and APIs for real-time inference
- Model Monitoring with Amazon CloudWatch and SageMaker Model Monitor
- Model Management in Production with SageMaker MLOps
6. Advanced Algorithms and Models
- Application of supervised and unsupervised learning algorithms
- Using Deep Learning with Amazon SageMaker
- Implementation of neural networks, CNNs and RNNs
- Integrating ML frameworks like TensorFlow, PyTorch, and MXNet on AWS
7. AWS Certified Machine Learning – Specialty Exam Preparation
- AWS Certified Machine Learning – Specialty Exam Format
- Exam simulations and practices
- Exam Tips: Answer Strategies
- Review of key topics and concepts
Prerequisites
Who is it for?
- Machine Learning professionals and data scientists working with ML solutions on AWS
- Developers and data engineers who integrate Machine Learning into cloud solutions
- Consultants who design and implement machine learning solutions on AWS
- Professionals who want to earn the AWS Certified Machine Learning – Specialty certification
