• Development
  • Business
  • Design
  • Marketing
  • Technology
  • Microsoft 365 (Soon)
  • Microsoft Azur (Soon)
  • Data Science
  • Microsoft Power Automate (Soon)
  • Microsoft Database (Soon)
  • Microsoft Programming (Soon)
  • Oracle Database (Soon)
  • Oracle Cloud (Soon)
  • Oracle Programming (Soon)
  • Google Cloud (Soon)
  • Cisco Networks (Soon)
  • Google App Development (Soon)
  • AWS Cloud (Soon)
  • AWS Solutions Architect (Soon)
  • AWS Networks (Soon)
  • AWS Data Engineering (Soon)
  • AWS Security (Soon)
  • AWS App Development (Soon)
  • Meta Marketing (Soon)
  • PMI Management (Soon)
  • CIW Web and Internet Technologies (Soon)
  • CIW Design (Soon)
  • CIW Data Engineering (Soon)
  • CIW E-Commerce (Soon)
  • Microsoft Web (Soon)
  • Oracle Data Science (Soon)
  • Google Marketing (Soon)
  • Google Data Engineering (Soon)
  • IBM App Development (Soon)
  • Microsoft Server Administration (Soon)
  • Microsoft Security (Soon)
  • CIW App Development (Soon)
  • Microsoft App Development (Soon)
  • Zoho ERP (Soon)
  • Google Design (Soon)
  • AWS Database (Soon)
  • Microsoft Education Technology (Soon)
  • MySQL (Soon)
  • Services Management
  • Educational Technology
  • Leadership and Strategic Management (Soon)

Artificial Intelligence with Machine Learning in Java

Description

This comprehensive course on "Artificial Intelligence with Machine Learning in Java" is designed to provide participants with a strong foundation in the principles and practical applications of artificial intelligence (AI) and machine learning (ML) using the Java programming language. Through a combination of theoretical concepts and hands-on coding exercises, participants will gain the knowledge and skills necessary to develop AI and ML solutions using Java.

Objectives

·        Understand the fundamental concepts of artificial intelligence and machine learning.

·        Gain proficiency in Java programming language for AI and ML applications.

·        Explore various AI and ML algorithms and their implementation in Java.

·        Learn how to preprocess data and prepare it for machine learning models.

·        Develop and train machine learning models using Java libraries and frameworks.

·        Apply AI and ML techniques to solve real-world problems using Java.

·        Understand ethical considerations and best practices in AI and ML development.

Who should attend

This course is designed for software developers, programmers, data scientists, and professionals who are interested in learning how to leverage artificial intelligence and machine learning in Java. Prior experience with Java programming and basic understanding of data structures and algorithms is recommended.

Course Duration and Schedule
Duration and Schedule
Curriculum
Providers
Categories