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Starts 14 June 2025 03:15

Ends 14 June 2025

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Developing Machine Learning Solutions

Developing Machine Learning Solutions 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 machi.
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Overview

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

University:


Provider:

AWS Skill Builder
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Subjects

united states