Cloud Credential Council - Artificial Intelligence Foundation

Overview

The accelerated CCC’s: Artificial Intelligence 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.

In just 1 day, you’ll learn explain the concepts, terminologies, evolution, and business drivers of AI. You’ll also learn how to:

• 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

At the end of this course, you’ll sit the CCC exam, and achieve your Artificial Intelligence Foundation certification. Through Firebrand’s Lecture | Lab | Review methodology, you’ll get certified at twice the speed of the traditional training and get access to courseware, learn from certified instructors, and train in a distraction-free environment.

Audience

This course is ideal for:

• 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