Defending and Deploying AI
Год выпуска: September 2025
Производитель: Pearson via O'Reilly Learning
Сайт производителя:
https://learning.oreilly.com/course/defending-and-deploying/9780135463727/
Автор: Omar Santos
Продолжительность: 14h 59m
Тип раздаваемого материала: Видеоурок
Язык: Английский + субтитры
Описание:
Your full study resource to get started with AI models and best practices for AI security.
Description
Defending and Deploying AI is your key to harnessing AI tools for enhanced cybersecurity, networking, and programming. This comprehensive course gives you the training you need to stay ahead in the rapidly evolving tech landscape. Omar Santos, a Distinguished Engineer at Cisco and recognized author and expert in AI cybersecurity, provides the knowledge you need to get up and running as well as real-world hands-on activities to help you hone your practical skills.
This course includes the following coverage:
•
AI-Enabled Programming, Networking, and Cybersecurity: Master AI tools for dynamic information retrieval, advanced automation, and more.
•
Securing Generative AI: Explore crucial security measures for AI deployments, including LLM security, prompt injection, and Red Team AI models.
•
Build Your Own AI Lab: Create secure AI research environments, both home-based and cloud-based, with guidance on hardware, software, and cost management.
•
AI Agents and Agentic RAG for Cybersecurity: Use LLMs for offensive and defensive cybersecurity operations, with hands-on labs and real-world examples.
Stay ahead in the AI revolution and transform your professional skills!
Skill Level
Beginner to Intermediate
Course Requirements
• Linux or Windows computer equipped with a web browser and Internet access
• Linux system with Python 3.x installed
• For learners interested in applying their cybersecurity knowledge in a hands-on manner, we recommend setting up WebSploit Labs by following the instructions provided at
https://websploit.org
Содержание
01 AI-Enabled Programming, Networking, and Cybersecurity
01 Introduction
02 Lesson 1 - Introduction to AI-powered Tools
03 Lesson 2 - Using AI for Cybersecurity
04 Lesson 3 - Using AI for Software Development
05 Lesson 4 - Using AI for Networking
06 Lesson 5 - Future Trends and Additional Emerging Technologies
07 Summary
02 Securing Generative AI
01 Introduction
02 Lesson 1 - Introduction to AI Threats and LLM Security
03 Lesson 2 - Understanding Prompt Injection & Insecure Output Handling
04 Lesson 3 - Training Data Poisoning, Model Denial of Service & Supply Chain Vulnerabilities
05 Lesson 4 - Sensitive Information Disclosure, Insecure Plugin Design, and Excessive Agency
06 Lesson 5 - Overreliance, Model Theft, and Red Teaming AI Models
07 Lesson 6 - Protecting Retrieval Augmented Generation (RAG) Implementations
08 Summary
03 Build Your Own AI Lab
01 Introduction
02 Lesson 1 - Introduction to AI Labs and Sandboxes
03 Lesson 2 - Cloud-Based AI Labs and Sandboxes
04 Lesson 3 - Integrating and Leveraging AI Environments
05 Lesson 4 - Advanced Topics
06 Summary
04 AI Agents and Agentic RAG for Cybersecurity
01 Introduction
02 Lesson 1 - Introduction to RAG in Cybersecurity
03 Lesson 2 - Introducing LangChain, LangGraph, and LLamaIndex
04 Lesson 3 - Prompt Engineering, Prompt Chains, and RAG Examples
05 Lesson 4 - AI Agents and Agentic Frameworks
06 Summary
Файлы примеров: отсутствуют
Формат видео: MP4
Видео: AVC, 1280×720, 16:9, 30.000 fps, 3 000 kb/s (0.017 bit/pixel)
Аудио: AAC, 44.1 KHz, 2 channels, 128 kb/s, CBR
