NOA Labs
🤖 AI Security · Corporate training

AI Tools & Secure AI Coding

Use AI coding assistants productively without leaking secrets or shipping vulnerable code — plus securing LLM features against prompt injection and data leakage.

Register your company → See the full outline ↓
$59 per employee · complete course
🗓️
2 weekends
Sat & Sun
⏱️
16 hours
4 live sessions
🎯
Advanced
Level
🧪
4 labs
Hands-on

Default hours 10:00 AM–2:00 PM (Asia/Karachi). Company pays — employees never pay individually.

About this training

Engineering teams are adopting AI assistants faster than policies can keep up. This programme teaches developers to get real productivity from AI tools while keeping code, customer data and credentials safe, to review AI-generated code critically, and to build LLM-powered features that resist prompt injection, excessive agency and data leakage — following the OWASP Top 10 for LLM Applications.

Who it's for: Developers, tech leads, architects and engineering managers using or building with AI.

What your team will be able to do

  • ✔Write an acceptable-use policy for AI coding assistants
  • ✔Review AI-generated code for security flaws and licence risk
  • ✔Prevent leakage of secrets and customer data into AI tools
  • ✔Defend LLM applications against prompt injection and excessive agency
  • ✔Evaluate and red-team an LLM feature before release

Advanced course outline

🔒 Session notes & lab guides unlock for enrolled employees
Weekend 1
Weekend 1 · Saturday

AI-assisted development done right

Productivity patterns and the risks they bring.

  • ▸How AI coding assistants work and where they fail
  • ▸Prompting for secure, testable code
  • ▸Hallucinated packages and dependency confusion
  • ▸Licence and IP considerations
  • ▸Team acceptable-use policy
🧪 Lab: Build a feature with an AI assistant — securely 🔒 Session notes 🔒 Lab guide
Weekend 1 · Sunday

Data protection with AI tools

Keeping secrets, source code and customer data out of the wrong places.

  • ▸What data leaves your machine and where it goes
  • ▸Enterprise vs consumer AI tool settings
  • ▸Secret and PII redaction
  • ▸Approved tool lists and logging
  • ▸Incident handling for accidental disclosure
🧪 Lab: Prevent secret leakage into prompts 🔒 Session notes 🔒 Lab guide
Weekend 2
Weekend 2 · Saturday

Securing LLM applications

Prompt injection, insecure output handling and excessive agency.

  • ▸OWASP Top 10 for LLM Applications
  • ▸Direct and indirect prompt injection
  • ▸Improper output handling
  • ▸Excessive agency in tool-using agents
  • ▸System prompt leakage and RAG data exposure
🧪 Lab: Break and defend a banking chatbot 🔒 Session notes 🔒 Lab guide
Weekend 2 · Sunday

Evaluating and governing AI features

Red-teaming, evaluation and governance before go-live.

  • ▸Building evaluation sets for safety and accuracy
  • ▸Automated red-teaming with promptfoo
  • ▸Monitoring cost, abuse and drift
  • ▸Model and vendor risk assessment
  • ▸AI governance and responsible use
🧪 Lab: Red-team an LLM feature with automated tests 🔒 Session notes 🔒 Lab guide
📝
Final assessment & certificate
Multiple-choice assessment plus attendance requirement → verifiable QR certificate.

Enrol your team in AI Tools & Secure AI Coding

One invoice for the whole team, volume discounts applied automatically.

Register your company → All corporate courses