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4 hours2 hours lecture + 2 hours hands-on labs

Foundations of GenAI, LLMs Landscape and Workflows

This opening session introduces participants to Generative AI and Large Language Models. Students explore current GenAI tools—their capabilities, limitations, and practical applications in cybersecurity. Topics include prompt engineering basics, AI coding tools, API integration patterns, and an overview of popular LLM platforms (OpenAI, Anthropic, open-source models). These tools will be used in later sessions for offensive and defensive security tasks.

Learning Objectives

Understand the fundamentals of Generative AI and Large Language Models

Evaluate capabilities and limitations of current GenAI tools

Master basic prompt engineering techniques

Learn to integrate AI APIs into security workflows

Explore various LLM platforms and their use cases

Topics Covered

1

Introduction to Generative AI and LLMs

2

Current GenAI tools and their capabilities

3

Limitations and practical applications in cybersecurity

4

Prompt engineering fundamentals

5

AI coding assistants and tools

6

API integration patterns

7

Overview of LLM platforms (OpenAI, Anthropic, open-source)

8

Preparing AI tools for security workflows

Skills You'll Gain

Prompt EngineeringAPI IntegrationAI Tools EvaluationLLM Platform Selection

Ready to Get Started?

Join this session and advance your DevSecOps and AI security skills