Developing AI and ML Solutions with Java: AI Fundamentals


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level


Overview/Description

Discover the fundamental concepts of the technologies driving artificial Intelligence (AI).



Expected Duration (hours)
1.1

Lesson Objectives

Developing AI and ML Solutions with Java: AI Fundamentals

  • identify the primary goals of machine learning, artificial Intelligence, deep learning, and reinforcement learning
  • recognize the essential features of artificial intelligence and differentiate it with non-AI applications
  • set up the Java development environment for artificial intelligence
  • demonstrate the use of machine learning algorithms in Java
  • specify the various implementations scenarios of AI
  • identify the essential features and capabilities afforded by Deeplearning4j
  • demonstrate how to configure neural networks using DL4J
  • identify the primary domains where artificial intelligence is predominantly implemented
  • describe the concept of predictive modeling along with various relatable algorithms
  • create a Maven project, configure a Weka library, and create a dataset for Weka

    • Course Number:
    it_sdjaai_01_enus

    Expertise Level
    Intermediate