About This AI Online Course
Artificial intelligence is fundamentally changing how military robotic systems perceive, decide and act in increasingly complex operational environments.
As defense organizations expand the use of autonomous systems across land, sea, air, space and other contested domains, personnel must understand how AI is reshaping robotic capabilities, mission execution and future force design.
This online course explores the integration of AI and robotics through emerging concepts, such as embodied AI, multimodal robotic architectures and autonomous decision making. You will learn how AI enhances robotic perception, navigation and planning while introducing new considerations related to transparency, uncertainty and system design.
You will examine simulation, virtual environments and sim-to-real transfer techniques used to develop, validate and improve autonomous robotic systems. You will also gain practical insight into the technologies and concepts driving the next generation of AI-enabled military robotics.
What You Will Learn
- Explain how AI is transforming robotics through embodied AI and multimodal decision-making architectures
- Differentiate between traditional robotics architectures and embodied AI approaches, including their respective advantages and limitations
- Assess the role of simulation, virtual environments, and sim-to-real transfer in developing, validating, and training autonomous robotic systems
- Evaluate how AI-enabled autonomy, self-assessment, and information-driven decision-making influence the design and operational employment of military robotic systems
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 wish to learn about AI-powered robots in military operations.
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 Professional Education Credits
This course provides 1 CPE.
