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EIEIO / ARTIFICIAL INTELLIGENCE

Artificial Intelligence Foundation

Course outline

2 days
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Duration

2 days

Overview

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.

Target 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 you’ll 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.

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

  • Fundamentals of Data Structures
  • Fundamentals of Algorithms

Programme scope, delivery arrangements and suitability are confirmed during enquiry.