AWS Certified Machine Learning - Specialty (MLS-C01) Exam
Decoding the Future: Harnessing AWS's Machine Learning Mastery
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101 questions
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Aug 2023
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$19.99
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What you will learn
Foundations of AWS Machine Learning: A deep understanding of the various machine learning services AWS offers and their use cases.
Data Collection & Ingestion: Harnessing tools like AWS Data Pipeline, Kinesis, and Glue for data collection, transformation, and ingestion.
Data Storage & Processing: Dive deep into storage solutions, such as Amazon S3, RDS, and DynamoDB, and processing using EMR.
Model Development & Training: Employing Amazon SageMaker for developing, training, and validating ML models, and utilizing built-in algorithms.
Model Deployment & Operations: Techniques for deploying, hosting, and scaling ML models on AWS and managing their lifecycle.
Deep Learning with AWS: Introduction to AWS DeepLens, DeepRacer, and utilizing deep learning AMIs and frameworks.
Security & Compliance in ML: Best practices to secure ML workflows, data, and models using IAM, KMS, and AWS Secrets Manager.
Optimization & Advanced Topics: Model tuning, A/B testing, reinforcement learning, and understanding cost management for ML on AWS.
Certification Exam Prep: Insights on critical focus areas, exam traps, practice questions, and effective exam-taking strategies.
5507606
udemy ID
8/17/2023
course created date
8/19/2023
course indexed date
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