AI-Enabled Programming, Networking, and Cybersecurity: Practical Uses of AI Models, Tools, and Frameworks

Course details

In this course, targeted at programmers, developers, and networking and security professionals, instructor Omar Santos shows you how AI-powered tools like ChatGPT, GitHub Copilot, Cursor, LangChain, and other models are changing the landscape of cybersecurity, programming, networking, and beyond. Get an introduction to some of the most cutting-edge AI models, focusing on ChatGPT for cybersecurity education, GitHub Copilot and Cursor for programming support, and other AI models that you can use in your role to make critical learning and workflow enhancements. Along the way, get tips on practical applications of these tools as well as how to ask effective questions, interpret answers, and continue your learning journey with AI.

Learning objectives
Leverage AI tools for cybersecurity, networking, and programming tasks.
Follow examples of practical, hands-on activities and demonstrations that emphasize real-world workflow enhancements.
Implement AI tools as a programmer, developer, and networking or cybersecurity professional.

Concepts

0. Introduction

01 - AI-enabled programming, networking, and cybersecurity - Introduction

1. Introduction to AI-Powered Tools

02 - Learning objectives
03 - Overview of the evolution of AI-driven tools
04 - Large language models (LLMs) and small language models (SLMs)
05 - Introducing LangChain, LangGraph, LlamaIndex, and other orchestration frameworks
06 - An overview of open-source AI models and Hugging Face
07 - Introducing retrieval augmented generation (RAG)
08 - Introducing embedding models
09 - Introducing vector databases - pgvector, Chroma, MongoDB Atlas Vector Search, and others
10 - Introducing semantic search

2. Using AI for Cybersecurity

11 - Learning objectives
12 - Accelerating network security tasks with AI
13 - Prompt engineering for cybersecurity
14 - Securing AI implementations
15 - Exploring network security processes incorporating AI tools

3. Using AI for Software Development

16 - Learning objectives
17 - Exploring how AI is revolutionizing software development
18 - Surveying GitHub Copilot, Cursor, and Cody
19 - Exploring the CODEX model
20 - Generating code from a prompt
21 - Explaining existing code
22 - Generating comments
23 - Prompt engineering for software development

4. Using AI for Networking

24 - Learning objectives
25 - Exploring how AI is revolutionizing networking
26 - Using GitHub Copilot for programming tasks related to networking
27 - Exploring AI models for networking use cases
28 - Prompt engineering for networking

5. Future Trends and Additional Emerging Technologies

29 - Learning objectives
30 - Exploring additional applications of AI in emerging technologies
31 - Regulatory and policy frameworks
32 - Staying updated on advancements in AI and cybersecurity

Conclusion

33 - AI-enabled programming, networking, and cybersecurity - Summary