Oreilly – AI-Enabled Programming, Networking, and Cybersecurity 2024-10

AI-Enabled Programming, Networking, and Cybersecurity Course. This comprehensive course teaches you how to use artificial intelligence to improve your programming, networking, and cybersecurity skills. With practical examples and hands-on demos, you’ll learn how to apply AI tools to your daily work as a programmer, developer, network specialist, or security professional. This course will help you become a more proficient programming, networking, and cybersecurity professional using AI. By learning how to use powerful AI tools, you can increase your productivity and address more complex IT challenges.

What you will learn:

• Introduction to AI Models: This course introduces various AI models, with a special focus on ChatGPT for cybersecurity training, GitHub Copilot and Cursor for programming support, and other models that are useful for learning and improving performance.
• Practical Applications: You will learn how to use these tools in real-world scenarios, ask effective questions, interpret answers, and achieve deeper learning.
• Enhance skills: Using artificial intelligence, you can take your programming, networking, and cybersecurity skills to the next level.

Who is this course suitable for?

• This course is designed for programmers, developers, network and cybersecurity professionals looking to use AI tools. As tools like ChatGPT, GitHub Copilot and Cursor are changing the landscape of cybersecurity, programming, networking and other areas, this course will help you keep up with these changes.

AI-Enabled Programming, Networking, and Cybersecurity Course Details

• Publisher: Oreilly
• Instructor: Omar Santos
• Education level: Intermediate
• Training duration: 2 hours and 39 minutes

Course headings

• 1. Introduction
• AI-Enabled Programming, Networking, and Cybersecurity: Introduction
• Lesson 1: Introduction to AI-powered Tools
• Learning objectives
• 1.1 Overview of the Evolution of AI-driven Tools
• 1.2 Large Language Models (LLMs) and Small Language Models (SLMs)
• 1.3 Introducing LangChain, LangGraph, Llama Index, and Other Orchestration Frameworks
• 1.4 An Overview of Open-source AI Models and Hugging Face
• 1.5 Introducing Retrieval Augmented Generation (RAG)
• 1.6 Introducing Embedding Models
• 1.7 Introducing Vector Databases – pgvector, Chroma, MongoDB Atlas Vector Search, and others
• 1.8 Introducing Semantic Search
• Lesson 2: Using AI for Cybersecurity
• Learning objectives
• 2.1 Accelerating Network Security Tasks with AI
• 2.2 Prompt Engineering for Cybersecurity
• 2.3 Securing AI Implementations
• 2.4 Exploring Network Security Processes Incorporating AI Tools
• Lesson 3: Using AI for Software Development
• Learning objectives
• 3.1 Exploring How AI is Revolutionizing Software Development
• 3.2 Surveying GitHub Copilot, Cursor, and Cody
• 3.3 Exploring the CODEX Model
• 3.4 Generating Code from a Prompt
• 3.5 Explaining Existing Code
• 3.6 Generating Comments
• 3.7 Prompt Engineering for Software Development
• Lesson 4: Using AI for Networking
• Learning objectives
• 4.1 Exploring how AI is revolutionizing networking
• 4.2 Using GitHub Copilot for Programming Tasks Related to Networking
• 4.3 Exploring AI Models for Networking Use Cases
• 4.4 Prompt Engineering for Networking
• Lesson 5: Future Trends and Additional Emerging Technologies
• Learning objectives
• 5.1 Exploring Additional Applications of AI in Emerging Technologies
• 5.2 Regulatory and Policy Frameworks
• 5.3 Staying Updated on Advancements in AI and Cybersecurity
• Summary
• AI-Enabled Programming, Networking, and Cybersecurity: Summary

Course prerequisites

• This course requires only a Linux, macOS, or Windows computer equipped with a web browser and Internet access. All code is shared via different GitHub repositories.

Course images

Sample course video

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