About this AI Online Course
Artificial intelligence is advancing at an extraordinary pace, but how much of today’s excitement reflects reality—and how much is aspiration?
As organizations race to adopt AI, understanding both its potential and its limitations is essential to making informed decisions and setting realistic expectations.
This online course examines the concept of aspirational AI—the capabilities researchers hope AI may one day achieve but that largely remain beyond today’s technology. You will gain understanding about competing perspectives on AI’s future; distinguish aspirational AI from generative AI from artificial general intelligence and examine why most AI research continues to focus on solving narrow, specialized problems rather than replicating human intelligence.
You will explore the strengths and limitations of current AI technologies, including large language models, while introducing theoretical constraints, such as the halting problem and NP-hard problems. Along the way, you will also learn about historical AI milestones, emerging technologies including neurocomputing and quantum computing, and common misconceptions surrounding concepts, such as the Turing Test, superintelligence and the technological singularity.
By the end of this online course, you will have have a balanced understanding of what AI can accomplish today, where meaningful limitations remain and which emerging developments may shape the future of AI.
What You Will Learn
- Differentiate between aspirational AI, GenAI and artificial general intelligence, and explain why most current AI research focuses on narrow applications rather than human-level intelligence
- Assess competing perspectives on AI’s future by comparing claims of technological optimism with practical limitations and societal risks
- Evaluate the current capabilities and limitations of modern AI technologies using examples that illustrate where AI succeeds, where it falls short, and why human judgment remains essential
- Analyze realistic future directions for AI by examining historical predictions, theoretical limits, and emerging technologies
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 aspirational 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 Professional Education Units
This course provides 1 CPE.
