AI for Information Advantage
Available FY27. AI for Information Advantage offers a technically grounded exploration of how artificial intelligence is transforming the landscape of information operations. Designed for professionals in analysis, cybersecurity, and information warfare, it unpacks the mechanics behind AI systems—covering model architectures, automation pipelines, and adversarial use cases. Participants will gain hands-on insight into how machine learning models are used to generate and manipulate information environments, from large language model–driven bots to synthetic content and narrative amplification tools.
Each session takes an adversarial approach, walking students through the same methods threat actors use to design, deploy, and scale AI-powered influence campaigns. Through technical demonstrations and exercises, learners will dissect the strategies that enable perception shaping across digital spaces. Upon completion, participants will not only understand the “how” behind these techniques but also be equipped to design more resilient information ecosystems and analytic frameworks to detect and counter AI-driven manipulation.
Students will receive:
- Option A: No computer hardware included. Students will use in-house laptops for training
- Option B: Apple Mac Mini with Apple M4 chip
Students will also receive:
- Pretrained AI Models for Information Operations
- Offline Chat Models for Unconstrained IO Applications
- AI-Driven Bot code
- Course Materials
Customer
Government/Military
Location
Huntsville, AL
Cost
Option A: $5,100.00
Option B: $6,500.00
Duration
5 days
Class Min/Max
3-15 Students
SKU
C0018
Day 01
AI Essentials for IO
Intro to Perplexity, ChatGPT, and Copilot
Intro to Large Language Models (LLMs)
AI Prompt Engineering
Core Prompting Techniques (Zero‑Shot, Few‑Shot, Chain‑of‑Thought, Prompt Chaining)
AI‑Assisted Web Research for Influence and Current Events
Day 02
AI for Linux & Mac
Types of LLMs (Base, Instruct, Reasoning, Chat)
Content Creation with LLMs (Text, Documents, Images, Video)
Intro to Retrieval‑Augmented Generation (RAG)
Building Local RAG Applications with AnythingLLM
RAG from PDFs, Websites, Video, and Audio
Understanding and Finding Datasets for ML and IO
Day 03
Intro to the DISARM Framework for IO
Intro to AI Agents and Tool Use
Building Web Research Agents
Designing Effective System Prompts for Chatbots
AI Target Audience Extraction from Datasets
Python 3 with AI Assistance
CSV Agents and AI‑Driven Target Audience Segmentation
Day 04
Intro to Decentralized Social Media
AI and Automation Workflows for Social Media Bots
AI‑Driven Reaction and Amplification Bots
Monitoring and Notification Bot Workflows for Key Profiles
Argument‑Generation and Auto‑Posting Agents
Cultivating “Ignorant” or Biased Agents
Day 05
Using AI to Develop Other Tech Assets
Custom Google Search Engines for Censorship
Website Cloning and Modification with AI
Building Sentiment Analysis Dashboards with AI
AI Social Media Simulations
Capstone Challenge
