The CCC’s Artificial Intelligence (AI) Foundation™ course provides an overview and insight into the critical emerging technology of Artificial Intelligence to organizations and individuals around the world.

Pre-requisites

• Basic familiarity with the high-level programming languages, Python and R.
• (Recommended) some basic familiarity with the concepts of cloud services, relational databases, algebra and statistics, algorithms, data structures, data visualization, and a high-level programming language.

Content of the course

The CCC’s Artificial Intelligence (AI) Foundation™ course provides an overview and insight into the critical emerging technology of Artificial Intelligence to organizations and individuals around the world.

This vendor-neutral, cross-industry foundation course:

• Builds upon the AI definition, its evolution, concepts, and applications. 
• Provides an introduction to machine learning concepts.
• Explains the main business drivers and strategies to leverage AI.
• Introduces the fundamentals of the essential prerequisite skills required for AI, such as databases, statistics, data visualization, the Python programming language, algorithms, and data structures.
• Delves into the different strategies for the implementation of data structures.

Course audience

The target audience for this course includes all teams across the Business and IT functions, including:

• C – Level Executives and Senior Management
• General Managers including Business Development Managers 
• IT Project, Program, and Planning Managers
• AI Project Managers
• Service Architects and Managers
• Business Strategists and Analysts, Business Change Practitioners and Managers
• Data Analysts, Data Engineers, and Data Scientists
• Process Architects and Managers
• Consultants, Professionals in varied fields

What will you learn

Once you become Artificial Intelligence Foundation™ certified, you will be able to:

• Explain the concepts, terminologies, evolution, and business drivers of AI.
• Explain the fundamentals of Machine Learning.
• Explain the fundamentals of relational databases and the SQL database language.
• Explain the fundamentals of statistics and data visualization.
• Explain the fundamentals of the Python programming language.
• Explain the concepts of Algorithms and Data Structures.
• Discuss the different implementation strategies for Data Structures.

Topics covered in the course

Module 0: Course Introduction

• Course Highlights
• Course Learning Outcomes
• Module Structure
• Exam Overview

Module 1: AI Definition, Evolution, and Concepts

• Introduction to Artificial Intelligence
• Basics of Artificial Intelligence
• Fundamentals of Machine Learning

Module 2: Fundamentals of Databases

• Basics of Databases
• Concepts of Relational Databases
• Database Languages
• Data Types and Constraints
• SQL Commands
• SQL Keywords
• SQL Operators
• SQL Functions and Additional Objects
• SQL Joins

Module 3: Fundamentals of Statistics

• Basics of Statistics
• Fundamentals of Data Visualization
• Visual Data Visualization Types
• Data Visualization Popular Tools

Module 4: Python Programming Fundamentals

• Introduction and Evolution of Python
• Python Programming Concepts
• Python Object Types
• Python Programming Concepts
• Python Debugging Concepts

Module 5: Foundation and Implementation of Data Structures and Algorithms

1. Fundamentals of Data Structures
2. Fundamentals of Algorithms