AWS AI Practitioner: Basic AI Concepts and Terminologies

Amazon Web Services 2025    |    Intermediate
  • 9 videos | 25m 22s
  • Includes Assessment
  • Earns a Badge
Since Amazon's idea of the machine learning flywheel was sketched on the back of a napkin, Amazon has been investing in specific key business operations driven by artificial intelligence (AI) and machine learning (ML) to reinforce other processes and create a positive feedback loop. In this course, explore what AI, ML, and deep learning are and basic AI terms such as natural language processing (NLP), training, and inferencing. Next, learn about large language models (LLMs) and the differences between AI, ML, and deep learning. Finally, examine inference types and data types in AI models and compare machine learning methods. This course is part of a collection that prepares you for the AIF-C01: AWS Certified AI Practitioner exam.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Describe the terms artificial intelligence (ai), machine learning (ml), and deep learning
    Recognize and define basic artificial intelligence (ai) terms
    Identify what large language models (llms) are
    Differentiate between ai, ml, and deep learning
  • Describe inference types such as batch, real-time, and more
    Identify the different data types in ai models
    Differentiate between machine learning (ml) methods
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 39s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 4m 46s
    After completing this video, you will be able to describe the terms artificial intelligence (AI), machine learning (ML), and deep learning. FREE ACCESS
  • Locked
    3.  Basic AI Terms
    6m 38s
    Through this video, you will be able to recognize and define basic artificial intelligence (AI) terms. FREE ACCESS
  • Locked
    4.  Large Language Models (LLMs)
    1m 48s
    Upon completion of this video, you will be able to identify what large language models (LLMs) are. FREE ACCESS
  • Locked
    5.  Differences of AI, ML, and Deep Learning
    2m 8s
    In this video, we will differentiate between AI, ML, and deep learning. FREE ACCESS
  • Locked
    6.  Inference Types
    2m 15s
    After completing this video, you will be able to describe inference types such as batch, real-time, and more. FREE ACCESS
  • Locked
    7.  Data Types of AI Models
    4m 4s
    Through this video, you will be able to identify the different data types in AI models. FREE ACCESS
  • Locked
    8.  ML Methods
    2m 28s
    Upon completion of this video, you will be able to differentiate between machine learning (ML) methods. FREE ACCESS
  • Locked
    9.  Course Summary
    35s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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