Sold by: SANS Institute
Deployed on AWS
Learn to build secure, self-hosted LLM solutions using Retrieval Augmented Generation. Progress from traditional RAG to Contextual RAG and Agentic RAG while implementing access controls and defending against prompt injection - all without exposing sensitive data to third-party APIs.
Overview
Build secure, self-hosted RAG systems that leverage LLMs without exposing sensitive data to third parties. This fully hands-on course teaches everything needed to implement LLM-based solutions for question answering, knowledge retrieval, and policy creation.
Work alongside the instructor to build a complete Retrieval Augmented Generation system:
- Host LLMs locally and efficiently
- Interface with LLMs programmatically
- Preprocess and ingest documents into vector databases
- Engineer effective RAG prompts
- Implement access controls limiting data disclosure per user
- Defend against prompt injection attacks
Progress from traditional RAG to advanced Contextual RAG, improving response quality while maintaining data security. Implement Agentic RAG with auditor and prompting agents for sophisticated use cases.
Everything runs on local containers - no sensitive data leaves your environment. The techniques translate directly to commercial APIs when needed, but this course proves you can build powerful LLM solutions entirely in-house.
Requires intermediate Python skills. 7 CPEs.
Highlights
- Build end-to-end RAG systems, implement Contextual RAG for improved responses, and deploy Agentic RAG with auditor and prompting agents - all self-hosted
- Hands-on workshop format building a complete RAG solution with vector databases, access controls, and prompt injection defenses
- OnDemand course with 7 CPEs - ideal for professionals implementing enterprise AI solutions without third-party API dependencies
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
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Dimension | Description | Cost/12 months |
|---|---|---|
SEC495 - Single User | Single user license for AI - SEC495: Leveraging LLMs: Building & Securing RAG, Contextual RAG | $459.00 |
Dimensions summary
This listing offers one pricing option: a single-user license for the SEC495 course. You buy access for one named user. Pricing is a contract for that single seat, so there are no tiers, instance sizes, or usage add-ons to compare. To cover multiple people, you purchase separate licenses. This is a self-paced course carrying 7 CPE credit hours.
Top-of-mind questions for buyers
One unit is one named-user seat for the SEC495 course. A single person gets access under that license. The seat covers one individual, not a device or shared login. To train more people, you buy a separate license for each additional user.
SEC495 is a self-paced course carrying 7 CPE credit hours across roughly 7 hours of content. You complete it on your own schedule. The single-user license covers the course access for one person; instructor-led delivery is not part of this pricing.
This listing bills per single-user seat, so you buy one license per person. Cost scales directly with headcount, with each seat priced the same. There are no team, tier, or volume dimensions in this listing to combine or discount within Marketplace.
www.sans.org
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Refunds available within 30 days if course not accessed.
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