Defending and Deploying AI

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size3.4 GB
  • Uploaded Byfreecoursewb
  • Downloads20
  • Last checkedSep. 26th '25
  • Date uploadedSep. 26th '25
  • Seeders 12
  • Leechers4

Infohash : 67A281A7336A5BB8CA143A74E7024AA795C6F4FE

Defending and Deploying AI

https://WebToolTip.com

Published 09/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 14h 59m | Size: 3.36 GB

Overview
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.

Files:

[ WebToolTip.com ] Defending and Deploying AI
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here ! AI Agents and Agentic RAG for Cybersecurity - Introduction
    • 001. Introduction.en.srt (2.9 KB)
    • 001. Introduction.mp4 (15.7 MB)
    AI Agents and Agentic RAG for Cybersecurity - Summary
    • 001. Summary.en.srt (2.9 KB)
    • 001. Summary.mp4 (16.7 MB)
    AI-Enabled Programming, Networking, and Cybersecurity - Introduction
    • 001. Introduction.en.srt (4.3 KB)
    • 001. Introduction.mp4 (20.5 MB)
    AI-Enabled Programming, Networking, and Cybersecurity - Summary
    • 001. Summary.en.srt (3.9 KB)
    • 001. Summary.mp4 (17.3 MB)
    • Bonus Resources.txt (0.1 KB)
    • Build Your Own AI Lab - Introduction
      • 001. Introduction.en.srt (2.4 KB)
      • 001. Introduction.mp4 (12.3 MB)
      Build Your Own AI Lab - Summary
      • 001. Summary.en.srt (1.3 KB)
      • 001. Summary.mp4 (7.2 MB)
      Lesson 1 - Introduction to AI Labs and Sandboxes
      • 001. Learning objectives.en.srt (1.6 KB)
      • 001. Learning objectives.mp4 (9.4 MB)
      • 002. 1.1 Overview of AI Labs and Sandboxes - Home-based vs. Cloud-based.en.srt (8.9 KB)
      • 002. 1.1 Overview of AI Labs and Sandboxes - Home-based vs. Cloud-based.mp4 (20.1 MB)
      • 003. 1.2 Choosing the Right Hardware (GPUs, CPUs, Memory, etc.).en.srt (11.5 KB)
      • 003. 1.2 Choosing the Right Hardware (GPUs, CPUs, Memory, etc.).mp4 (50.3 MB)
      • 004. 1.3 Building or Buying Pre-built Systems.en.srt (5.3 KB)
      • 004. 1.3 Building or Buying Pre-built Systems.mp4 (15.2 MB)
      • 005. 1.4 Choosing the Operating Systems (Linux, Windows, macOS).en.srt (5.0 KB)
      • 005. 1.4 Choosing the Operating Systems (Linux, Windows, macOS).mp4 (16.6 MB)
      • 006. 1.5 Surveying Essential Software (Python, Anaconda, Jupyter Notebooks, and Other Frameworks).en.srt (5.6 KB)
      • 006. 1.5 Surveying Essential Software (Python, Anaconda, Jupyter Notebooks, and Other Frameworks).mp4 (18.8 MB)
      • 007. 1.6 Introducing Hugging Face.en.srt (4.3 KB)
      • 007. 1.6 Introducing Hugging Face.mp4 (13.8 MB)
      • 008. 1.7 Introducing Ollama.en.srt (3.6 KB)
      • 008. 1.7 Introducing Ollama.mp4 (12.3 MB)
      • 009. 1.8 Installing Ollama.en.srt (6.5 KB)
      • 009. 1.8 Installing Ollama.mp4 (16.6 MB)
      • 010. 1.9 Ollama Integrations.en.srt (17.6 KB)
      • 010. 1.9 Ollama Integrations.mp4 (47.0 MB)
      • 011. 1.10 Exploring the Ollama REST API.en.srt (3.4 KB)
      • 011. 1.10 Exploring the Ollama REST API.mp4 (12.7 MB)
      • 012. 1.11 Introducing Retrieval Augmented Generation (RAG).en.srt (6.5 KB)
      • 012. 1.11 Introducing Retrieval Augmented Generation (RAG).mp4 (13.9 MB)
      • 013. 1.12 Leveraging RAGFlow.en.srt (16.9 KB)
      • 013. 1.12 Leveraging RAGFlow.mp4 (40.7 MB)
      Lesson 1 - Introduction to AI Threats and LLM Security
      • 001. Learning objectives.en.srt (1.6 KB)
      • 001. Learning objectives.mp4 (8.6 MB)
      • 002. 1.1 Understanding the Significance of LLMs in the AI Landscape.en.srt (10.4 KB)
      • 002. 1.1 Understanding the Significance of LLMs in the AI Landscape.mp4 (48.8 MB)
      • 003. 1.2 Exploring the Resources for this Course - GitHub Repositories and Others.en.srt (4.6 KB)
      • 003. 1.2 Exploring the Resources for this Course - GitHub Repositories and Others.mp4 (11.0 MB)
      • 004. 1.3 Introducing Retrieval Augmented Generation (RAG).en.srt (18.4 KB)
      • 004. 1.3 Introducing Retrieval Augmented Generation (RAG).mp4 (34.0 MB)
      • 005. 1.4 Understanding the OWASP Top-10 Risks for LLMs.en.srt (8.7 KB)
      • 005. 1.4 Understanding the OWASP Top-10 Risks for LLMs.mp4 (20.9 MB)
      • 006. 1.5 Exploring the MITRE ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems) Framework.en.srt (8.4 KB)
      • 006. 1.5 Exploring the MITRE ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems) Framework.mp4 (26.4 MB)
      • 007. 1.6 Understanding the NIST Taxonomy and Terminology of Attacks and Mitigations.en.srt (10.8 KB)
      • 007. 1.6 Understanding the NIST Taxonomy and Terminology of Attacks and Mitigations.mp4 (21.6 MB)
      Lesson 1 - Introduction to AI-powered Tools
      • 001. Learning objectives.en.srt (3.8 KB)
      • 001. Learning objectives.mp4 (18.8 MB)
      • 002. 1.1 Overview of the Evolution of AI-driven Tools.en.srt (6.2 KB)
      • 002. 1.1 Overview of the Evolution of AI-driven Tools.mp4 (17.6 MB)
      • 003. 1.2 Large Language Models (LLMs) and Small Language Models (SLMs).en.srt (12.2 KB)
      • 003. 1.2 Large Language Models (LLMs) and Small Language Models (SLMs).mp4 (30.0 MB)
      • 004. 1.3 Introducing LangChain, LangGraph, Llama Index, and Other Orchestration Frameworks.en.srt (8.4 KB)
      • 004. 1.3 Introducing LangChain, LangGraph, Llama Index, and Other Orchestration Frameworks.mp4 (27.2 MB)
      • 005. 1.4 An Overview of Open-source AI Models and Hugging Face.en.srt (4.4 KB)
      • 005. 1.4 An Overview of Open-source AI Models and Hugging Face.mp4 (17.0 MB)
      • 006. 1.5 Introducing Retrieval Augmented Generation (RAG).en.srt (16.2 KB)
      • 006. 1.5 Introducing Retrieval Augmented Generation (RAG).mp4 (37.7 MB)
      • 007. 1.6 Introducing Embedding Models.en.srt (8.2 KB)
      • 007. 1.6 Introducing Embedding Models.mp4 (39.5 MB)
      • 008. 1.7 Introducing Vector Databases - pgvector, Chroma, MongoDB Atlas Vector Search, and others.en.srt (5.4 KB)
      • 008. 1.7 Introducing Vector Databases - pgvector, Chroma, MongoDB Atlas Vector Search, and others.mp4 (17.7 MB)
      • 009. 1.8 Introducing Semantic Search.en.srt (6.3 KB)
      • 009. 1.8 Introducing Semantic Search.mp4 (24.5 MB)
      Lesson 1 - Introduction to RAG in Cybersecurity
      • 001. Learning objectives.en.srt (1.5 KB)
      • 001. Learning objectives.mp4 (9.1 MB)
      • 002. 1.1 Introduction to Retrieval Augmented Generation (RAG).en.srt (8.5 KB)
      • 002. 1.1 Introduction to Retrieval Augmented Generation (RAG).mp4 (23.0 MB)
      • 003. 1.2 Exploring the GitHub Repositories and Additional Resources.en.srt (4.0 KB)
      • 003. 1.2 Exploring the GitHub Repositories and Additional Resources.mp4 (12.6 MB)
      • 004. 1.3 Embeddings and Embedding Models.en.srt (21.1 KB)
      • 004. 1.3 Embeddings and Embedding Models.mp4 (81.4 MB)
      • 005. 1.4 Indexing Techniques.en.srt (14.8 KB)
      • 005. 1.4 Indexing Techniques.mp4 (34.3 MB)
      • 006. 1.5 Vector Databases.en.srt (7.4 KB)

        Code:

        • udp://tracker.torrent.eu.org:451/announce
        • udp://tracker.tiny-vps.com:6969/announce
        • http://tracker.foreverpirates.co:80/announce
        • udp://tracker.cyberia.is:6969/announce
        • udp://exodus.desync.com:6969/announce
        • udp://explodie.org:6969/announce
        • udp://tracker.opentrackr.org:1337/announce
        • udp://9.rarbg.to:2780/announce
        • udp://tracker.internetwarriors.net:1337/announce
        • udp://ipv4.tracker.harry.lu:80/announce
        • udp://open.stealth.si:80/announce
        • udp://9.rarbg.to:2900/announce
        • udp://9.rarbg.me:2720/announce
        • udp://opentor.org:2710/announce