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Amazon Web Services

Fundamentals of Machine Learning and Artificial Intelligence

Amazon Web Services and Amazon via AWS Skill Builder

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Overview

In this course, you will learn about the foundations of machine learning (ML) and artificial intelligence (AI). You will explore the connections between AI, ML, deep learning, and the emerging field of generative artificial intelligence (generative AI). You will gain a solid understanding of foundational AI terms, laying the groundwork for a deeper dive into these concepts. Additionally, you will learn about a selection of Amazon Web Services (AWS) services that use AI and ML capabilities. You will gain practical insights into how these tools can be used to solve real-world problems and drive innovation across various industries.

  • Course level: Fundamental
  • Duration: 1 hour

Activities

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

Course objectives

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

  • Identify the similarities and differences between AI, ML, deep learning, and generative AI.
  • Define foundational AI and ML terms and concepts.
  • Explain the different types of data used to train AI models.
  • Define supervised, unsupervised, and reinforcement learning.
  • Define neural networks.
  • Define foundational generative AI terms and concepts.
  • Describe the foundation model (FM) lifecycle.
  • Define three main types of FMs: large language models, diffusion models, and multimodal models.
  • Identify the capabilities and benefits of using AWS services for AI solutions.

Intended Audience

This course is intended for the following:

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

Prerequisites

We recommend that attendees of this course have the following background:

  • Foundational knowledge of AWS services
  • Basic knowledge of AI and ML concepts

Course outline

Section 1: Introduction

  • How to Use This Course
  • Introduction

Section 2: Fundamentals of Artificial Intelligence

  • Machine Learning Fundamentals
  • Deep Learning Fundamentals
  • Generative AI Fundamentals
  • Knowledge check

Section 3: AWS Services

  • AWS Infrastructure and Technologies
  • Knowledge checkpoint

Section 4: Conclusion

  • Resources
  • Contact Us

Keywords

  • Gen AI
  • Generative AI

Tags

Reviews

5.0 rating, based on 1 Class Central review

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  • Profile image for Jayasudha T
    Jayasudha T
    Educational course. I gained knowledge of the several kinds of machine learning (ML). Machine learning (ML), a branch of artificial intelligence (AI), allows systems to learn from data and get better over time. Unsupervised learning identifies patterns in unlabelled data; supervised learning trains the model on labelled data to make predictions; and reinforcement learning teaches the model by interacting with the environment and getting feedback. These are the three primary forms of machine learning. While taking into account the significance of ethical AI practices, I also investigated how these techniques are used in real-world issues including categorisation, regression, clustering, and decision-making.
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