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

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