| 001. Introduction.en.srt | 4 KB | ||
| 001. Introduction.mp4 | 18.8 MB | ||
| 001. Learning objectives.en.srt | 1.4 KB | ||
| 001. Learning objectives.mp4 | 6.8 MB | ||
| 001. Summary.en.srt | 2.2 KB | ||
| 001. Summary.mp4 | 10.6 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 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 | ||
| 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 | ||
| 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 | ||
| 002. 2.1 Accelerating Network Security Tasks with AI.en.srt | 7.4 KB | ||
| 002. 2.1 Accelerating Network Security Tasks with AI.mp4 | 16.1 MB | ||
| 002. 2.1 Advantages and Disadvantages of Cloud AI Labs and Sandboxes.en.srt | 10.3 KB | ||
| 002. 2.1 Advantages and Disadvantages of Cloud AI Labs and Sandboxes.mp4 | 19.1 MB | ||
| 002. 2.1 Defining Prompt Injection Attacks.en.srt | 17.4 KB | ||
| 002. 2.1 Defining Prompt Injection Attacks.mp4 | 66.1 MB | ||
| 002. 2.1 Introducing LangChain.en.srt | 5.9 KB | ||
| 002. 2.1 Introducing LangChain.mp4 | 18.1 MB | ||
| 002. 3.1 Exploring How AI is Revolutionizing Software Development.en.srt | 3.2 KB | ||
| 002. 3.1 Exploring How AI is Revolutionizing Software Development.mp4 | 11.7 MB | ||
| 002. 3.1 Mastering Prompt Engineering.en.srt | 4.9 KB | ||
| 002. 3.1 Mastering Prompt Engineering.mp4 | 16.1 MB | ||
| 002. 3.1 Understanding Training Data Poisoning Attacks.en.srt | 6.7 KB | ||
| 002. 3.1 Understanding Training Data Poisoning Attacks.mp4 | 21.8 MB | ||
| 002. 3.1 Using Hybrid AI Labs - Combining Home and Cloud Resources.en.srt | 2.5 KB | ||
| 002. 3.1 Using Hybrid AI Labs - Combining Home and Cloud Resources.mp4 | 5.9 MB | ||
| 002. 4.1 Exploring how AI is Revolutionizing Networking.en.srt | 11.9 KB | ||
| 002. 4.1 Exploring how AI is Revolutionizing Networking.mp4 | 25.7 MB | ||
| 002. 4.1 Introduction to AI Agent Frameworks.en.srt | 7 KB | ||
| 002. 4.1 Introduction to AI Agent Frameworks.mp4 | 19.1 MB | ||
| 002. 4.1 Leveraging LangSmith and LangGraph.en.srt | 5.8 KB | ||
| 002. 4.1 Leveraging LangSmith and LangGraph.mp4 | 14.7 MB | ||
| 002. 4.1 Understanding Sensitive Information Disclosure.en.srt | 4.2 KB | ||
| 002. 4.1 Understanding Sensitive Information Disclosure.mp4 | 18.1 MB | ||
| 002. 5.1 Exploring Additional Applications of AI in Emerging Technologies.en.srt | 8.1 KB | ||
| 002. 5.1 Exploring Additional Applications of AI in Emerging Technologies.mp4 | 16.2 MB | ||
| 002. 5.1 Understanding Overreliance.en.srt | 7.3 KB | ||
| 002. 5.1 Understanding Overreliance.mp4 | 21.2 MB | ||
| 002. 6.1 Understanding the RAG, LangChain, Llama Index, and AI Orchestration.en.srt | 25.1 KB | ||
| 002. 6.1 Understanding the RAG, LangChain, Llama Index, and AI Orchestration.mp4 | 60.2 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 | ||
| 003. 1.2 Exploring the GitHub Repositories and Additional Resources.en.srt | 4 KB | ||
| 003. 1.2 Exploring the GitHub Repositories and Additional Resources.mp4 | 12.6 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 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 MB | ||
| 003. 2.2 Exploring Real-life Prompt Injection Attacks.en.srt | 5.6 KB | ||
| 003. 2.2 Exploring Real-life Prompt Injection Attacks.mp4 | 17.2 MB | ||
| 003. 2.2 Introducing Amazon Bedrock.en.srt | 8.6 KB | ||
| 003. 2.2 Introducing Amazon Bedrock.mp4 | 21 MB | ||
| 003. 2.2 LangChain vs. LlamaIndex.en.srt | 5.4 KB | ||
| 003. 2.2 LangChain vs. LlamaIndex.mp4 | 21 MB | ||
| 003. 2.2 Prompt Engineering for Cybersecurity.en.srt | 3.8 KB | ||
| 003. 2.2 Prompt Engineering for Cybersecurity.mp4 | 11.3 MB | ||
| 003. 3.2 Exploring Basic Prompt Chain Examples.en.srt | 12 KB | ||
| 003. 3.2 Exploring Basic Prompt Chain Examples.mp4 | 47.2 MB | ||
| 003. 3.2 Exploring Model Denial of Service Attacks.en.srt | 4.3 KB | ||
| 003. 3.2 Exploring Model Denial of Service Attacks.mp4 | 9.9 MB | ||
| 003. 3.2 Surveying GitHub Copilot, Cursor, and Cody.en.srt | 3.1 KB | ||
| 003. 3.2 Surveying GitHub Copilot, Cursor, and Cody.mp4 | 7.6 MB | ||
| 003. 3.2 Synchronizing Data and Projects.en.srt | 5.2 KB | ||
| 003. 3.2 Synchronizing Data and Projects.mp4 | 11.2 MB | ||
| 003. 4.2 Exploiting Insecure Plugin Design.en.srt | 4.3 KB | ||
| 003. 4.2 Exploiting Insecure Plugin Design.mp4 | 12.1 MB | ||
| 003. 4.2 Surveying CrewAI.en.srt | 9.8 KB | ||
| 003. 4.2 Surveying CrewAI.mp4 | 24.5 MB | ||
| 003. 4.2 Using Fine Tuning Frameworks.en.srt | 6.2 KB | ||
| 003. 4.2 Using Fine Tuning Frameworks.mp4 | 17.1 MB | ||
| 003. 4.2 Using GitHub Copilot for Programming Tasks Related to Networking.en.srt | 9.2 KB | ||
| 003. 4.2 Using GitHub Copilot for Programming Tasks Related to Networking.mp4 | 22.7 MB | ||
| 003. 5.2 Exploring Model Theft Attacks.en.srt | 7 KB | ||
| 003. 5.2 Exploring Model Theft Attacks.mp4 | 16.5 MB | ||
| 003. 5.2 Regulatory and Policy Frameworks.en.srt | 7.8 KB | ||
| 003. 5.2 Regulatory and Policy Frameworks.mp4 | 21.9 MB | ||
| 003. 6.2 Securing Embedding Models.en.srt | 14 KB | ||
| 003. 6.2 Securing Embedding Models.mp4 | 29.3 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 | ||
| 004. 1.3 Embeddings and Embedding Models.en.srt | 21.1 KB | ||
| 004. 1.3 Embeddings and Embedding Models.mp4 | 81.4 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 | ||
| 004. 1.3 Introducing Retrieval Augmented Generation (RAG).en.srt | 18.4 KB | ||
| 004. 1.3 Introducing Retrieval Augmented Generation (RAG).mp4 | 34 MB | ||
| 004. 2.3 Prompt templates and system prompts.en.srt | 17.8 KB | ||
| 004. 2.3 Prompt templates and system prompts.mp4 | 74.2 MB | ||
| 004. 2.3 Securing AI Implementations.en.srt | 20.7 KB | ||
| 004. 2.3 Securing AI Implementations.mp4 | 63.1 MB | ||
| 004. 2.3 Surveying Amazon SageMaker.en.srt | 15.3 KB | ||
| 004. 2.3 Surveying Amazon SageMaker.mp4 | 36.3 MB | ||
| 004. 2.3 Using ChatML for OpenAI API Calls to Indicate to the LLM the Source of Prompt Input.en.srt | 15.2 KB | ||
| 004. 2.3 Using ChatML for OpenAI API Calls to Indicate to the LLM the Source of Prompt Input.mp4 | 38.2 MB | ||
| 004. 3.3 Creating Prompt Branching Chains.en.srt | 14.7 KB | ||
| 004. 3.3 Creating Prompt Branching Chains.mp4 | 56.8 MB | ||
| 004. 3.3 Exploring the CODEX Model.en.srt | 1.7 KB | ||
| 004. 3.3 Exploring the CODEX Model.mp4 | 3.6 MB | ||
| 004. 3.3 Leveraging the Strengths of Both Environments.en.srt | 6.8 KB | ||
| 004. 3.3 Leveraging the Strengths of Both Environments.mp4 | 19.5 MB | ||
| 004. 3.3 Understanding the Risks of the AI and ML Supply Chain.en.srt | 13.5 KB | ||
| 004. 3.3 Understanding the Risks of the AI and ML Supply Chain.mp4 | 36.3 MB | ||
| 004. 4.3 Avoiding Excessive Agency.en.srt | 5.2 KB | ||
| 004. 4.3 Avoiding Excessive Agency.mp4 | 14.9 MB | ||
| 004. 4.3 Exploring AI Models for Networking Use Cases.en.srt | 3 KB | ||
| 004. 4.3 Exploring AI Models for Networking Use Cases.mp4 | 7.5 MB | ||
| 004. 4.3 High-Performance Computing and Edge AI.en.srt | 4.7 KB | ||
| 004. 4.3 High-Performance Computing and Edge AI.mp4 | 11.8 MB | ||
| 004. 4.3 Introducing LangGraph.en.srt | 2.7 KB | ||
| 004. 4.3 Introducing LangGraph.mp4 | 10.1 MB | ||
| 004. 5.3 Staying Updated on Advancements in AI and Cybersecurity.en.srt | 5.5 KB | ||
| 004. 5.3 Staying Updated on Advancements in AI and Cybersecurity.mp4 | 13.9 MB | ||
| 004. 5.3 Understanding Red Teaming of AI Models.en.srt | 19.2 KB | ||
| 004. 5.3 Understanding Red Teaming of AI Models.mp4 | 49.1 MB | ||
| 004. 6.3 Securing Vector Databases.en.srt | 17.7 KB | ||
| 004. 6.3 Securing Vector Databases.mp4 | 41.7 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 MB | ||
| 005. 1.4 Choosing the Operating Systems (Linux, Windows, macOS).en.srt | 5 KB | ||
| 005. 1.4 Choosing the Operating Systems (Linux, Windows, macOS).mp4 | 16.6 MB | ||
| 005. 1.4 Indexing Techniques.en.srt | 14.8 KB | ||
| 005. 1.4 Indexing Techniques.mp4 | 34.3 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 | ||
| 005. 2.4 Enforcing Privilege Control on LLM Access to Backend Systems.en.srt | 8.4 KB | ||
| 005. 2.4 Enforcing Privilege Control on LLM Access to Backend Systems.mp4 | 15.9 MB | ||
| 005. 2.4 Exploring Google Vertex AI.en.srt | 16.8 KB | ||
| 005. 2.4 Exploring Google Vertex AI.mp4 | 43.4 MB | ||
| 005. 2.4 Exploring Network Security Processes Incorporating AI Tools.en.srt | 11.7 KB | ||
| 005. 2.4 Exploring Network Security Processes Incorporating AI Tools.mp4 | 31.9 MB | ||
| 005. 2.4 Introducing LangSmith.en.srt | 8 KB | ||
| 005. 2.4 Introducing LangSmith.mp4 | 24.7 MB | ||
| 005. 3.4 Best Practices when Using Open-Source Models from Hugging Face and Other Sources.en.srt | 18.8 KB | ||
| 005. 3.4 Best Practices when Using Open-Source Models from Hugging Face and Other Sources.mp4 | 52.4 MB | ||
| 005. 3.4 Exploring Parallel PromptChains.en.srt | 9.1 KB | ||
| 005. 3.4 Exploring Parallel PromptChains.mp4 | 42.2 MB | ||
| 005. 3.4 Generating Code from a Prompt.en.srt | 7.7 KB | ||
| 005. 3.4 Generating Code from a Prompt.mp4 | 21 MB | ||
| 005. 3.4 Running Open-Source Models Available on Hugging Face.en.srt | 5.4 KB | ||
| 005. 3.4 Running Open-Source Models Available on Hugging Face.mp4 | 14.2 MB | ||
| 005. 4.4 Exploring Examples of LangGraph in Action.en.srt | 18.9 KB | ||
| 005. 4.4 Exploring Examples of LangGraph in Action.mp4 | 86.6 MB | ||
| 005. 4.4 Prompt Engineering for Networking.en.srt | 9.1 KB | ||
| 005. 4.4 Prompt Engineering for Networking.mp4 | 22.6 MB | ||
| 005. 6.4 Monitoring and Incident Response.en.srt | 11.1 KB | ||
| 005. 6.4 Monitoring and Incident Response.mp4 | 23.4 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 | ||
| 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 | ||
| 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 | ||
| 006. 1.5 Vector Databases.en.srt | 7.4 KB | ||
| 006. 1.5 Vector Databases.mp4 | 19.4 MB | ||
| 006. 2.5 Best Practices Around API Tokens for Plugins, Data Access, and Function-level Permissions.en.srt | 4.1 KB | ||
| 006. 2.5 Best Practices Around API Tokens for Plugins, Data Access, and Function-level Permissions.mp4 | 10.2 MB | ||
| 006. 2.5 Using Microsoft Azure AI Foundry.en.srt | 11.5 KB | ||
| 006. 2.5 Using Microsoft Azure AI Foundry.mp4 | 36.3 MB | ||
| 006. 3.5 Creating a Basic RAG Application.en.srt | 17.6 KB | ||
| 006. 3.5 Creating a Basic RAG Application.mp4 | 69.8 MB | ||
| 006. 3.5 Explaining Existing Code.en.srt | 4.1 KB | ||
| 006. 3.5 Explaining Existing Code.mp4 | 13 MB | ||
| 006. 3.5 Introducing LangChain.en.srt | 3.8 KB | ||
| 006. 3.5 Introducing LangChain.mp4 | 9.2 MB | ||
| 006. 3.5 Securing Amazon BedRock, SageMaker, Microsoft Azure AI Services, and Other Environme.mp4 | 67.9 MB | ||
| 006. 3.5 Securing Amazon BedRock, SageMaker, Microsoft Azure AI Services, and Other Environme.srt | 22.7 KB | ||
| 006. 4.5 Exploring an Example of Agents with MCP Servers.en.srt | 15.3 KB | ||
| 006. 4.5 Exploring an Example of Agents with MCP Servers.mp4 | 59.3 MB | ||
| 007. 1.6 Chunking Strategies.en.srt | 11.4 KB | ||
| 007. 1.6 Chunking Strategies.mp4 | 35.5 MB | ||
| 007. 1.6 Introducing Embedding Models.en.srt | 8.2 KB | ||
| 007. 1.6 Introducing Embedding Models.mp4 | 39.5 MB | ||
| 007. 1.6 Introducing Hugging Face.en.srt | 4.3 KB | ||
| 007. 1.6 Introducing Hugging Face.mp4 | 13.8 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 | ||
| 007. 2.6 Discussing Cost Management and Security.en.srt | 8.2 KB | ||
| 007. 2.6 Discussing Cost Management and Security.mp4 | 21.5 MB | ||
| 007. 2.6 Understanding Insecure Output Handling Attacks.en.srt | 4.8 KB | ||
| 007. 2.6 Understanding Insecure Output Handling Attacks.mp4 | 8.4 MB | ||
| 007. 3.6 Creating a Complete RAG Application.en.srt | 4.8 KB | ||
| 007. 3.6 Creating a Complete RAG Application.mp4 | 17.7 MB | ||
| 007. 3.6 Generating Comments.en.srt | 5.5 KB | ||
| 007. 3.6 Generating Comments.mp4 | 14.5 MB | ||
| 007. 3.6 Introducing LlamaIndex.en.srt | 2.6 KB | ||
| 007. 3.6 Introducing LlamaIndex.mp4 | 7.5 MB | ||
| 007. 4.6 Securing Agentic Implementations.en.srt | 13.5 KB | ||
| 007. 4.6 Securing Agentic Implementations.mp4 | 37.3 MB | ||
| 008. 1.7 Introducing Ollama.en.srt | 3.6 KB | ||
| 008. 1.7 Introducing Ollama.mp4 | 12.3 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 | ||
| 008. 1.7 RAG vs. Fine-tuning.en.srt | 16.3 KB | ||
| 008. 1.7 RAG vs. Fine-tuning.mp4 | 48.9 MB | ||
| 008. 2.7 Using Terraform to Deploy Ollama in the Cloud.en.srt | 4.2 KB | ||
| 008. 2.7 Using Terraform to Deploy Ollama in the Cloud.mp4 | 10.4 MB | ||
| 008. 2.7 Using the OWASP ASVS to Protect Against Insecure Output Handling.en.srt | 6.8 KB | ||
| 008. 2.7 Using the OWASP ASVS to Protect Against Insecure Output Handling.mp4 | 20 MB | ||
| 008. 3.7 Prompt Engineering for Software Development.en.srt | 12.4 KB | ||
| 008. 3.7 Prompt Engineering for Software Development.mp4 | 29.6 MB | ||
| 008. 3.7 Understanding Embedding Models.en.srt | 7.5 KB | ||
| 008. 3.7 Understanding Embedding Models.mp4 | 32 MB | ||
| 009. 1.8 Installing Ollama.en.srt | 6.5 KB | ||
| 009. 1.8 Installing Ollama.mp4 | 16.6 MB | ||
| 009. 1.8 Introducing Semantic Search.en.srt | 6.3 KB | ||
| 009. 1.8 Introducing Semantic Search.mp4 | 24.5 MB | ||
| 009. 1.8 RAG, RAG Fusion, and RAPTOR.en.srt | 13.4 KB | ||
| 009. 1.8 RAG, RAG Fusion, and RAPTOR.mp4 | 29.1 MB | ||
| 009. 3.8 Using Vector Databases.en.srt | 6.1 KB | ||
| 009. 3.8 Using Vector Databases.mp4 | 17.4 MB | ||
| 010. 1.9 Ollama Integrations.en.srt | 17.6 KB | ||
| 010. 1.9 Ollama Integrations.mp4 | 47 MB | ||
| 010. 1.9 Running Open Weight Models with Ollama.en.srt | 18.9 KB | ||
| 010. 1.9 Running Open Weight Models with Ollama.mp4 | 62.8 MB | ||
| 011. 1.10 Exploring Open WebUI and Other Ollama Plugins.en.srt | 13.9 KB | ||
| 011. 1.10 Exploring Open WebUI and Other Ollama Plugins.mp4 | 49.8 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 | ||
| 012. 1.11 Introduction to AI Agents and Agentic Implementations.en.srt | 7.4 KB | ||
| 012. 1.11 Introduction to AI Agents and Agentic Implementations.mp4 | 18.4 MB | ||
| 013. 1.12 Introduction to Agentic RAG.en.srt | 6.8 KB | ||
| 013. 1.12 Introduction to Agentic RAG.mp4 | 17.9 MB | ||
| 013. 1.12 Leveraging RAGFlow.en.srt | 16.9 KB | ||
| 013. 1.12 Leveraging RAGFlow.mp4 | 40.7 MB | ||
| 014. 1.13 Introducing the Model Context Protocol (MCP).en.srt | 16.5 KB | ||
| 014. 1.13 Introducing the Model Context Protocol (MCP).mp4 | 49 MB | ||
| 015. 1.14 Introducing A2A and AGNTCY.en.srt | 22.7 KB | ||
| 015. 1.14 Introducing A2A and AGNTCY.mp4 | 67 MB | ||
| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 284 total files | |||
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.
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 2.5 GB | freecoursewb | 1 year | 9 | 0 | |
| 10.44 GB | Alicynaa | 2 years | 0 | 0 | |
| 9.92 GB | Helys | 2 years | 1 | 0 | |
|
PentesterAcademy | Attacking and Defending Active Directory: Beginner's Edition [FCO] Posted by
SunRiseZone in Other
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4.8 GB | SunRiseZone | 3 years | 7 | 1 |
|
Udemy - Self Defense - Mental and Physical Game For Defending Yourself Posted by
freecoursewb in Other
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890.2 MB | freecoursewb | 4 years | 0 | 0 |
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