Developing Machine Learning Solutions

FREE

In this machine learning course, you will learn about the machine learning lifecycle, and how to use AWS services at every stage. Additionally, you will discover the diverse sources for machine learning models and learn techniques to evaluate their performance. You will also understand the importance of machine learning operations (MLOps) in streamlining the development and deployment of your machine learning projects.

Description

In this machine learning course, you will learn about the machine learning lifecycle, and how to use AWS services at every stage. Additionally, you will discover the diverse sources for machine learning models and learn techniques to evaluate their performance. You will also understand the importance of machine learning operations (MLOps) in streamlining the development and deployment of your machine learning projects.

  • Course level: Fundamental
  • Duration: 1 hour

Activities:

This course includes interactive elements, text instruction, and illustrative graphics.

Course objectives:

In this course, you will learn how to do the following:

  • Describe the components of machine learning lifecycle.
  • Identify relevant AWS services and features for each stage of the ML lifecycle.
  • Explain the types of data used to train artificial intelligence (AI) models.
  • Understand sources of machine learning models.
  • Understand model performance metrics.
  • Describe methods to use a model in production.
  • Understand fundamental concepts of MLOps.

Intended Audience:

This course is intended for the following:

Individuals interested in machine learning and artificial intelligence, independent of a specific job role

Prerequisites:

Developing Machine Learning Solutions is part of a series that facilitates a foundation on artificial intelligence, machine learning, and generative AI. If you have not done so already, it is recommended that you complete these two courses:

  • Fundamentals of Machine Learning and Artificial Intelligence
  • Exploring Artificial Intelligence Use Cases and Applications

Course outline:

Lesson 1: How to Use This Course
Lesson 2: Introduction
Lesson 3: Machine Learning Development Lifecycle
Lesson 4: Developing ML Solutions with Amazon SageMaker
Lesson 5: Sources of ML Models
Lesson 6: Machine Learning Models Performance Evaluation
Lesson 7: Model Deployment
Lesson 8: Fundamental Concepts of MLOps
Lesson 9: Knowledge Check
Lesson 10: Resources
Lesson 11: Conclusion
Lesson 12: Contact us

Keywords: Gen AI, Generative AI

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