Software Engineering Institute

Introduction to AI Engineering is an introductory eLearning course designed to help you develop a foundational understanding of the process, requirements, resources, and constraints involved in engineering AI-enabled systems. By the end of this course, you will have a better understanding of how you can use AI technologies to solve real-world problems and how you can use the AI engineering process to build human centered, scalable, robust, and secure AI Systems.

The purpose of this course is to promote the discipline of AI Engineering by giving you insights into the fundamentals of the AI engineering process. This course will showcase various use cases and constraints of AI technologies and build your awareness of the AI engineering process. We will translate cross-functional activities that occur during the AI engineering process and illustrate common decisions and trade-offs. The course also presents design patterns and techniques that are commonly used in the AI engineering process.

• Design researchers, usability experts, AI ethicists, and risk and compliance officers
• Program managers, product managers, and executives
• Data scientists, software engineers, machine learning (ML) engineers, data engineers, and solution architects

This course is designed to:

• Promote the fundamentals of the discipline of AI Engineering
• Showcase use cases and constraints of AI technologies
• Build awareness of the AI engineering process
• Translate cross-functional activities that occur during the AI engineering process
• Illustrate common decisions and tradeoffs
• Present design patterns and techniques

The course focuses on

• An overview of the discipline of AI Engineering
• Planning an AI solution
• Architecting an AI System
• Building AI systems with multidisciplinary teams
• AI risk management

This course is delivered in the form of video instruction presented by experts from the SEI AI Division. Learners can apply methodologies taught through a series of interactive learning activities, including a case study exercise, knowledge check questions, and a game-inspired final assessment. Downloadable materials include copies of the course presentation slides and a case study text supplement.

Learners should have some familiarity with AI capabilities (e.g., classification systems, natural language processing). The course does not assume you have knowledge of algorithm design or are able to code.

To access the SEI Learning Portal, your computer must have the following:

• For optimum viewing, we recommend using the following browsers: Microsoft Edge, Mozilla Firefox, Google Chrome, and Safari.
• These browsers are supported on the following operating systems: Microsoft Windows 8 (or higher), OSX (last two major releases), and most Linux distributions.
• The following mobile operating systems are supported: iOS 9 and Android 6.0.
• Microsoft Edge, Firefox, Chrome, and Safari follow a continuous release policy that makes difficult to fix on a minimum version. For this reason, following the market recommendation, we will support the last two major versions of each of these browsers. Please note that, as of January 2018, we do not support Safari on Windows.