About This AI Online Course
Artificial intelligence is increasingly integrated into decision-support systems across defense and intelligence missions.
Understanding how humans and AI systems interact—and how to design those interactions effectively—is essential for maximizing operational effectiveness while minimizing risk.
This self-paced, online course introduces the principles of human–machine teaming—focusing on how AI systems and human operators collaborate to improve decision making and mission outcomes. You will delve into how tasks should be allocated between humans and machines based on their respective strengths, and how factors such as trust, situational awareness, control authority and transparency influence system performance.
Through real-world examples and case studies, the course examines how AI-powered interfaces assist users in complex environments—from decision-support tools and autonomous systems to intelligent search and conversational agents. You will also learn how design choices in human–AI interaction and user interfaces affect workflow efficiency, reliability and user trust.
The course also highlights potential risks associated with AI-enabled systems, including automation bias, over-trust, opaque reasoning and loss of situational awareness, and discusses strategies for designing systems that balance automation with human oversight.
Gain practical understanding of how to design and evaluate AI-assisted systems that effectively combine human judgment and machine intelligence to support mission success
What You Will Learn
- Explain the concept of human–machine teaming and its role in AI-enabled systems
- Differentiate the strengths and limitations of humans and AI in decision making and task performance.
- Analyze key challenges in human–AI interaction, including trust calibration, situational awareness and control authority
- Apply fundamental design principles for intelligent user interfaces that support effective human–AI collaboration
Who Should Take This Online Course
This online training course is designed for defense or intelligence professionals working for the Federal government or government contractor companies who want to develop their understanding of AI in a defense context.
More seasoned professionals will also benefit from this online training experience to obtain a refresher on the critical subject matter.
Prerequisites
None. However, prior completion of the FedLearn course, Introduction to AI/Machine Learning Concepts & Terminology (AIDATA109), is highly recommended.
Course Certificate
To achieve a course certificate of completion, you must score 80 percent or higher on a graded quiz.
Course Format
Self-paced, online training course
Course Pricing
Individual courses are $9.99 (per person).
Seat licenses to access the entire FedLearn AI and data science catalog are also available. Click here to learn more and purchase
If you are interested in learning about special team rates for Federal government and government contractor organizations, email [email protected]
Continuing Education Unit Credits
This course provides 1.25 CEU.
