AI Fundamentals: From Understanding to Implementation

AI Fearlessly
TrendAI · AI Security Program

Lead the future of AI with proactive security.

A hands-on course that takes technical professionals from neural-network first principles, through the live AI attack surface, to a six-layer defense blueprint they can deploy — built on 35+ years of cybersecurity intelligence.

3chapters 25sections 183quiz items n8nhands-on labs 2025/26OWASP-aligned

AI is transforming how we build and deploy software — and with it comes a new attack surface that most security and engineering teams are not yet equipped to defend. This course equips you to understand AI systems, identify their vulnerabilities, and defend them in production. From foundational concepts through real-world attacks to layered defense architectures, you will build the fluency needed to lead AI initiatives securely.

Who it’s for
Security professionalsAssessing and mitigating AI-specific risks across the stack.
DevelopersBuilding AI-powered applications and integrations safely.
ArchitectsDesigning secure AI deployments and trust boundaries.
Platform & DevOpsOperating LLM workloads with the right guardrails.
Technical managersOverseeing AI initiatives and security posture.
Curious technologistsAnyone with a technical background, from the ground up.
The arc
Chapter 01

Introduction to AI and LLMs

From rule-based systems to the Transformer. Build the mental model behind GPT, Claude, Gemini, and the agentic stacks that wrap them.

  • // Core AI concepts & architecture
  • // Providers, models, deployment tradeoffs
  • // Prompt engineering & inference
  • // Agentic AI & trust boundaries
Begin chapter
Chapter 02

Vulnerabilities and attacks on LLMs

The full AI attack surface, mapped to OWASP LLM Top 10 (2025) and Agentic AI Top 10 (2026). Named incidents, real exploits, repeatable demos.

  • // Prompt injection & data poisoning
  • // Model theft & output exploitation
  • // Agentic attack vectors
  • // Case studies from production
Begin chapter
Chapter 03

Protecting LLMs from attacks

The Security for AI Blueprint — a six-layer defense framework. Every OWASP category mapped to the controls that actually stop it.

  • // Six-layer defense blueprint
  • // OWASP-to-control mapping
  • // TrendAI Vision One, AI Guard, LEARN
  • // Red-teaming & incident response
Begin chapter
Prerequisites
What we expect you to bring

No prior AI experience is required, though basic familiarity with APIs, system architecture, and software development processes will help you move faster. To build intuition before you start:

Technical setup

computer · internet modern browser n8n instance (cloud or local) OpenAI / compatible API key local admin rights (optional)

What you’ll walk away with
Understand the AI technology stack, from neural networks through agentic systems.
Map the AI attack surface using OWASP LLM Top 10 and Agentic AI Top 10 frameworks.
Explain and demonstrate real-world AI attack techniques to leadership and stakeholders.
Design layered security architectures using the Security for AI Blueprint.
Select and configure defense controls that map cleanly to specific threat categories.
Build organizational practices for AI red-teaming, incident response, and compliance.
Ready to begin
Built for AI. Ready for next.
Start Chapter 01