001 AI-Enabled Programming, Networking, and Cybersecurity Introduction (20.42 MB)
001 Learning objectives (18.81 MB)
002 1 1 Overview of the Evolution of AI-driven Tools (17.56 MB)
003 1 2 Large Language Models (LLMs) and Small Language Models (SLMs) (29.93 MB)
004 1 3 Introducing LangChain, LangGraph, Llama Index, and Other Orchestration Frameworks (27.12 MB)
005 1 4 An Overview of Open-source AI Models and Hugging Face (17.05 MB)
006 1 5 Introducing Retrieval Augmented Generation (RAG) (37.67 MB)
007 1 6 Introducing Embedding Models (39.59 MB)
008 1 7 Introducing Vector Databases - pgvector, Chroma, MongoDB Atlas Vector Search, and others (17.63 MB)
009 1 8 Introducing Semantic Search (24.42 MB)
001 Learning objectives (9.54 MB)
002 2 1 Accelerating Network Security Tasks with AI (16.04 MB)
003 2 2 Prompt Engineering for Cybersecurity (11.23 MB)
004 2 3 Securing AI Implementations (63.03 MB)
005 2 4 Exploring Network Security Processes Incorporating AI Tools (31.8 MB)
001 Learning objectives (14.38 MB)
002 3 1 Exploring How AI is Revolutionizing Software Development (11.6 MB)
003 3 2 Surveying GitHub Copilot, Cursor, and Cody (7.58 MB)
004 3 3 Exploring the CODEX Model (3.56 MB)
005 3 4 Generating Code from a Prompt (20.97 MB)
006 3 5 Explaining Existing Code (12.99 MB)
007 3 6 Generating Comments (14.47 MB)
008 3 7 Prompt Engineering for Software Development (29.58 MB)
001 Learning objectives (6.71 MB)
002 4 1 Exploring how AI is Revolutionizing Networking (25.63 MB)
003 4 2 Using GitHub Copilot for Programming Tasks Related to Networking (22.68 MB)
004 4 3 Exploring AI Models for Networking Use Cases (7.47 MB)
005 4 4 Prompt Engineering for Networking (22.48 MB)
001 Learning objectives (7.01 MB)
002 5 1 Exploring Additional Applications of AI in Emerging Technologies (16.16 MB)
003 5 2 Regulatory and Policy Frameworks (21.9 MB)
004 5 3 Staying Updated on Advancements in AI and Cybersecurity (13.85 MB)
001 AI-Enabled Programming, Networking, and Cybersecurity Summary (17.27 MB)