ARTIFICIAL INTELLIGENCE FUNDAMENTALS OF ISACA
ISACA’s AI Fundamentals course is designed to provide a solid understanding of fundamental concepts related to Artificial Intelligence and Machine Learning. Participants will...
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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.
There are no prerequisites to access the course.
The instructors are all professionals with many years of experience in both strategic advisory activities and the implementation of AI, Machine Learning, and extended Data Management systems in complex organizations. They are also senior trainers and hold the main industry certifications.
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
11 CPEs valid for maintaining ISACA certifications
- 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
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- 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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