AI Foundations
Class Overview
Currently, proficiency in Artificial Intelligence and the capacity to administer Machine Learning are highly desirable competencies in our modern digital economy.
Artificial Intelligence (AI) is widely employed across various industries, including self-driving vehicles, speech recognition systems, writing platforms, and online advertising. A significant portion of individuals utilize artificial intelligence on many occasions throughout the day.
We will offer foundational knowledge and expertise in Artificial Intelligence (AI) and Machine Learning (ML), encompassing AI concepts and how Machine Learning can help improve levels of efficiency in your organization.
Class Details
Objectives
After taking this training, the student should be able to:
- Describe AI, its Applications and Capabilities
- Explain the uses of AI in industry
- Define Data
- Describe Machine Learning and its Limitations
- Define Neural Networks
- Explain tools, workflows, and methods to implement AI
Prerequisite Knowledge Advisory
There are no formal prerequisites.
Required Exam for Formal Certification
Exam: none available – knowledge only
Class Format
This class is provided with the following breakdown:
Number of class sessions: 1
Duration of each session: 8 hours
Session required attendance: One day (virtual)
Artificial Intelligence Foundations Training Class Outline
Module 1: Introduction to AI
Module 2: AI Terminology and Applications
Module 3: Data Gathering and Manipulation
Module 4: Machine Learning
Module 5: Neural Networks
Module 6: Tools for Use with AI
Module 7: The Implications for AI
Module 8: The Future of AI
