Udemy AWS MLS-C01 Notes

• Exam Information
• Sample Questions

Sections

1. Introduction and Housekeeping
2. Sagemaker Housekeeping
3. Machine Learning Concepts
4. Model Performance Evaluation
5. Sagemaker Service Overview
6. Sagemaker Service and SDK Changes
7. XGBoost Gradient Boosted Trees
8. Invoke Model Endpoint from External Cliens
9. Endpoint Changes with Zero Downtime
10. Emerging AI Trends and Social Issues
11. Cloud Security and Access Management
12. Principal Component Analysis (PCA)
13. Recommender Systems - Factorization Machines
14. Model Optimization and Hyperparameter Tuning
15. Time Series Forecasting - DeepAR
16. Anomaly Detection - Random Cut Forest
17. Generative AI Solutions
18. Artificial Intelligence (AI) Services
19. S3 Data Lake Architecture - Data Consolidation
20. Deep Learning and Neural Networks
21. Bring Your Own Algorithm
22. Storage for Servers
23. AWS - Support Plans and Feedback
24. Databases on AWS
25. On-Premises usage and other technologies
26. Practice Exam - AWS Certified Machine Learning Specialty
27. Other Resources

References

• AWS Certified Machine Learning Specialty (MLS-C01)