Best Free Course for AWS Machine Learning Foundations

AWS Machine Learning Foundations

image

What Will You Learn?

Learn the basics of Machine Learning and how to create and assess models. Acquire sought-after skills for businesses tackling AI challenges. Dive into advanced areas like computer vision, reinforcement learning, and generative AI. Get hands-on experience with AWS AI Devices like AWS DeepLens, DeepRacer, and DeepComposer. Master the process of preparing, building, training, and deploying top-notch ML models using Amazon SageMaker. Also, pick up best practices for object-oriented programming.

About This Course

Provider: Udacity
Format: Online
Duration: 11 hours to complete [Approx]
Target Audience: Beginners
Learning Objectives: After completing this free course, you'll gain a solid understanding of Machine Learning concepts and practical applications.
Course Prerequisites: NA
Assessment and Certification: NA
Instructor: AWS
Key Topics: Machine Learning, Machine Learning with AWS, OOP, Data Science, AI fluency, AWS deepracer, AWS deepcomposer
Topic Covered: 
  1. - What is Machine Learning?
  2. - Components of Machine Learning
  3. - Build a Dataset
  4. - Model Training
  5. - Model Evaluation
  6. - Model Inference
  7. - Machine Learning with AWS
  8. - AWS Account Requirements
  9. - Reinforcement Learning and Its Applications
  10. - Reinforcement Learning with AWS DeepRacer
  11. - Introduction to Generative AI
  12. - GANs with AWS DeepComposer
  13. - AR-CNN with AWS DeepComposer
  14. - Writing Modular Code
  15. - Docstrings
  16. - Model Versioning
  17. - Testing
  18. - Testing and Data Science
  19. - Unit Tests
  20. - Procedural vs. object-oriented programming
  21. - Class, object, method, and attribute
  22. - OOP syntax
  23. - Inheritance
  24. - Inheritance probability distribution
  25. - Organizing into modules
  26. - Advanced OOP topics
  27. - Making a package
  28. - Virtual environments
  29. - Putting code on PyPi

Comments

No reviews yet !!