English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 2h 39m | 678 MB
Learn practical applications with ChatGPT, Claude, Copilot, LangChain, LlamaIndex, and AI models.
- Learn to use AI for cybersecurity, networking, and programming tasks.
- Use examples of practical, hands-on activities and demos that emphasize real-world tasks.
- Implement AI tools as a programmer, developer, networking, or security professional.
AI-Enabled Programming, Networking, and Cybersecurity is for programmers, developers, networking, or security professionals looking to use AI tools. AI-powered tools like ChatGPT, GitHub Copilot, Cursor, LangChain, and other AI models are changing the landscape of cybersecurity, programming, networking, and beyond. This course covers the introduction to the AI models, focusing on ChatGPT for cybersecurity education, GitHub Copilot and Cursor for programming support, and other AI models that have proven useful for learning and work enhancements, and explores the practical applications of these tools, emphasizing how to ask effective questions, interpret answers, and engage in deeper learning.
Table of Contents
Lesson 1: Introduction to AI-powered Tools
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
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
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
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
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
Resolve the captcha to access the links!