Acumen IT Training, Inc.

  • +63 917 714 4350 or DUO: (02) 7971 5203
  • 11th Floor, SM Aura Office Tower, 26th Street, Mckinley Parkway, Fort Bonifacio, Taguig City, Metro Manila, Philippines
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  • +63 917 714 4350 or DUO: (02) 7971 5203
  • Main: 11th Floor, SM Aura Office Tower, 26th Street, Mckinley Parkway, Fort Bonifacio, Taguig City, Metro Manila, Philippines
    Satellite Office: 2nd Floor, Bonifacio Technology Center, 31st St. cor. 2nd Ave., Bonifacio Global City, Taguig City​
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AI AND ML PRINCIPLES AND TOOLS

COURSE DESCRIPTION

Artificial Intelligence (AI) focuses on the creation of intelligent machines that are as “smart” as their human counterparts. Machine Learning (ML) provides Artificial Intelligence with the ability to learn and improve on its own and make decisions with minimal human intervention. Artificial Intelligence and Machine Learning are mainstream business tools, which help industries to grow revenue, increase efficiency, reduce costs, and improve customer experiences.

REASONS TO CHOOSE

  • Learn to apply industry-relevant knowledge in Machine Learning and Artificial Intelligence (AI)
  • Enhance your skill set to train intelligent machines
  • Ability to increase productivity, save time and money through automation of routine processes
  • Knowledge of AI application areas and related individual fields within Artificial Intelligenc

COURSE OUTLINE

Module 1: What is Artificial Intelligence (AI)?

  • Introduction to Artificial Intelligence
  • AI Approaches

 

Module 2: Application Areas of AI

    • AI in Healthcare
    • AI in Education
    • AI in Business
    • AI in Finance
    • AI in Manufacturing
    • Parents Disciplines of AI

Module 3: Artificial Intelligence and Related Fields

  • Logical AI
  • Search
  • Pattern Recognition
  • Knowledge Representation
  • Planning

 

Module 4: Foundation of AI – Machine Learning

  • Foundation of Artificial Intelligence
  • Machine Learning
  • Strengths and Limitations of Machine Learning-Based AI
  • Machine Learning Methods
  • Supervised Machine Learning Algorithms
  • Unsupervised Machine Learning Algorithms
  • Semi-Supervised Machine Learning Algorithms
  • Reinforcement Machine Learning Algorithms

For FULL COURSE OUTLINE, please contact us.

Please contact us for the schedules and for booking a private class.

Inquire Now
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