About This AI Online Course
In an era where strategic advantage hinges on rapid, accurate interpretation of vast information streams, artificial intelligence’s ability to understand and generate human language has become a pivotal asset to defense and intelligence operations.
From decoding enemy communications to generating real-time decision support, natural language processing s revolutionizing how mission-critical data is processed, understood and operationalized.
This online course offers a compelling journey through the evolution of NLP, tracing AI’s development from early neural networks to today’s state-of-the-art transformer architectures—models that underpin tools like ChatGPT and Gemini. Through accessible explanations and historical context, you will explore how early recurrent neural networks laid the groundwork for machines to comprehend sequences, and how breakthroughs in attention mechanisms led to the transformer revolution.
You will also gain insight into how RNNs enabled sequence learning and memory-like behavior in neural networks; the development and scaling of GPT models, culminating in modern large language models used across public and classified applications; and much more.
Whether supporting strategic communications, automating intel analysis,or enhancing human-machine teaming, understanding how AI “learned to talk” will equip you with essential context for today’s rapidly evolving information environment. This course is a must for technologists, analysts, and leaders seeking to operationalize the capabilities of advanced AI in national security contexts.
What You Will Learn
- Describe the evolution of natural language processing
- Identify the differences between recurrent neural networks and transformers
This online course is aligned with DoD strategies.
Who Should Take This Online Course
This online course is perfect for any DoD, Intelligence Community agency or government contractor company professional interested in developing their AI knowledge and skills.
Prerequisites
None. However, prior completion of the FedLearn course, Introduction to AI/Machine Learning Concepts & Terminology (AIDATA109), is recommended.
Course Certificate
To achieve a course certificate of completion, you must score 80 percent or higher on a graded final exam.
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 CEU.
