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:
- - What is Machine Learning?
- - Components of Machine Learning
- - Build a Dataset
- - Model Training
- - Model Evaluation
- - Model Inference
- - Machine Learning with AWS
- - AWS Account Requirements
- - Reinforcement Learning and Its Applications
- - Reinforcement Learning with AWS DeepRacer
- - Introduction to Generative AI
- - GANs with AWS DeepComposer
- - AR-CNN with AWS DeepComposer
- - Writing Modular Code
- - Docstrings
- - Model Versioning
- - Testing
- - Testing and Data Science
- - Unit Tests
- - Procedural vs. object-oriented programming
- - Class, object, method, and attribute
- - OOP syntax
- - Inheritance
- - Inheritance probability distribution
- - Organizing into modules
- - Advanced OOP topics
- - Making a package
- - Virtual environments
- - Putting code on PyPi
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