ARTIFICIAL INTELLIGENCE FUNDAMENTALS OF ISACA (ARTIFICIAL INTELLIGENCE FUNDAMENTALS)

ISACA’s AI Fundamentals course is designed to provide a solid understanding of fundamental concepts related to Artificial Intelligence and Machine Learning. Participants will have the opportunity to develop the skills necessary to design and implement Artificial Intelligence (AI)-based projects, as well as adapt to the ever-changing digital job market.
The course will focus on providing an overview of Artificial Intelligence and its regulation, the risks and ethical issues associated with it, and statistical analysis and machine learning processes. Practical applications of AI and machine learning will also be explored.
The learning objectives include the acquisition of practical skills and fundamental theoretical knowledge to address AI-related challenges strategically and effectively.
Through interactive modules, practical case studies, and online learning tools, ISACA’s AI Fundamentals course, organized by the AIEA (ISACA Milan Chapter), aims to prepare participants to seize the opportunities offered by AI, adopting effective strategies to best leverage this emerging technology in the contemporary business environment.

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Live course + exam
€1150
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Self Paced E-Learning + Exam
€940
Excl. VAT
  • Exam voucher
  • Hands-on labs
  • Certificate
  • Lifetime support
  • Official courseware

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Course Information

Course Code ARTIFICIAL INTELLIGENCE FUNDAMENTALS
Duration 1.5 Days
Delivery Online Live, Self Paced
Exam Voucher Included
Certification Body ISACA
Certification AI Fundamental

What You Will Learn

The main objectives of the course include learning the fundamentals of AI, including machine learning techniques, understanding the importance of AI for innovation and business process optimization, and acquiring the skills necessary to successfully implement AI projects in the workplace. The Artificial Intelligence Fundamentals course will cover the following topics: - Principles, concepts, and potential uses of Artificial Intelligence ; - Essential software and algorithms for potential AI applications; - Risks associated with AI and ethical requirements.

Course Curriculum

  • Artificial Intelligence Concepts Summary
  • Artificial Intelligence Implementations Summary
  • Rules and Regulations for the Governance of Artificial Intelligence
  • Properties of Artificial Intelligence
  • Resource Requirements for Adopting AI
  • Expert Systems
  • Statistical Analysis



  • Data Collection
  • Data Classification
  • Data Processing
  • Enterprise Usage of Artificial Intelligence
  • Consumer Usage of Artificial Intelligence

– Risk Associated With Artificial Intelligence
– Ethics in Artificial Intelligence

  • Risk Associated With Artificial Intelligence
  • Ethics in Artificial Intelligence

– Exercise n. 01 – Machine Learning Models
– Exercise n. 02 – Security Implementations of AI
– Exercise n. 03 – Robotic Process Automation

  • Introduction to the AI ​​Fundamentals Certification Exam
  • Exercise n. 01 - Machine Learning Models
  • Exercise n. 02 - Security Implementations of AI
  • Exercise n. 03 - Robotic Process Automation

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All You Need to Know

Who Should Attend

The course is aimed at managers, professionals, and students who want to acquire basic skills in Artificial Intelligence and Machine Learning. It is ideal for those working in IT, IT security, data governance, project management, technological innovation, and IT consulting, as well as those who intend to implement Artificial Intelligence projects in their organizations or improve their skills to remain competitive in the digital job market.

Prerequisites

There are no prerequisites to access the course.

Course Materials

The course fee includes only the electronic documentation supporting the lessons (course slides), but not the study materials described below, which can be purchased separately.

The cost of the materials includes:
– Practice exercises and exam simulations
– Artificial Intelligence Fundamentals Official Study Guide

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Self Paced E-Learning + Exam €940 excl. VAT
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