PECB APAC Conference 2026

Essential AI

Certified AI Professional

The Essential AI course provides essential coverage of predictive AI and generative AI concepts, benefits, challenges and risks.

It is suitable for IT and business professionals that would like to receive a fundamental understanding of how contemporary AI works and how it can be applied in the real world.

Upon completing the course you will receive a digital certificate of completion, as well as a digital training badge from Acclaim/Credly. Upon getting certified you will also receive an official AI Professional digital accreditation certificate and certification badge from Acclaim/Credly, along with an account that can be used to verify your certification status.

‍

Learning objectives

‍

The Essential AI course is comprised of the following 2 course modules, each of which has an estimated completion time of 10 hours:

Module 1: Fundamental Predictive AI

‍

Module 4: Fundamental Generative AI

‍

‍

Educational approach

‍

20 hours of Workbook Lessons & Exercises

‍

Supporting Video Lessons

‍

Course Completion Certificates & Badges

‍

Certification Exam & Practice Questions

‍

Feature-Rich eLearning Platform

‍

Interactive Graded Exercises, Self-Test

‍

Printable PDFs

‍

Lifetime Access

‍

Mind Map Poster

‍

Symbol Legend Poster

‍

Lab Exercise Booklet (if applicable)

‍

Enroll in this course

Buy now
Module 1: Fundamental Predictive AI

This course module illustrates how predictive AI can be used and applied in a range of business applications, as well as essential coverage of predictive AI practices and systems. The module explores the most common learning approaches and functional areas that AI systems are used for. All of the content is authored in easy-to-understand, plain English.

‍

Predictive AI Business and Technology Drivers

‍

Predictive AI Benefits, Common Risks and Challenges of Using Predictive AI

‍

Business Problem Categories Addressed by AI

‍

Types of Predictive AI

‍

Common Predictive AI Learning Approaches

‍

Understanding Predictive AI Learning and Model Training

‍

Step-by-Step Training Loop Process

‍

Supervised Learning, Unsupervised Learning, Continuous Learning

‍

Heuristic Learning, Semi-Supervised Learning, Reinforcement Learning

‍

Common Predictive AI Functional Designs, Computer Vision, Pattern Recognition

‍

Robotics, Natural Language Processing (NLP)

‍

Speech Recognition, Natural Language Understanding (NLU)

‍

Understanding AI Models and Neural Networks

Module 4: Fundamental Generative AI

This course module explores a range of the most important and relevant technology-related topics that pertain to contemporary cloud computing platforms. The module content does not get into implementation or programming details, but instead keeps coverage at a conceptual level, focusing on topics that address cloud service architecture, cloud security threats and technologies, virtualization and containerization.

‍

Cloud Computing Mechanisms that Establish Architectural Building Blocks

‍

Virtual Servers, Containers, Ready-Made Environments, Failover Systems and Pay-Per-Use Monitors

‍

Automated Scaling Listeners, Multi-Device Brokers and Resource Replication

‍

Understanding How Individual Cloud Computing Mechanisms Support Cloud Characteristics

‍

An Introduction to Containerization, Container Hosting and Logical Pod Containers

‍

A Comparison of Containerization and Virtualization

‍

Cloud Balancing and Cloud Bursting Architectures

‍

Common Risks, Threats and Vulnerabilities of Cloud-based Services and Cloud-hosted Solutions

‍

Cloud Security Mechanisms used to Counter Threats and Attacks

‍

Understanding Cloud-Based Security Groups and Hardened Virtual Server Images

‍

Cloud Service Implementation Mediums (including Web Services and REST Services)

‍

Cloud Storage Benefits and Challenges, Cloud Storage Services, Technologies and Approaches

‍

Non-Relational (NoSQL) Storage Compared to Relational Storage

‍

Cloud Service Testing Considerations and Testing Types

‍

Service Grids and Autonomic Computing

‍

Cloud Computing Industry Standards Organizations

‍

‍

Hear from professionals we’ve trained