Torrent details for "Defending and Deploying AI" Log in to bookmark
Controls:
×
Report Torrent
Please select a reason for reporting this torrent:
Your report will be reviewed by our moderation team.
×
Report Information
Loading report information...
This torrent has been reported 0 times.
Report Summary:
| User | Reason | Date |
|---|
Failed to load report information.
×
Success
Your report has been submitted successfully.
Checked by:
Category:
Language:
English
Total Size:
3.4 GB
Info Hash:
67A281A7336A5BB8CA143A74E7024AA795C6F4FE
Added By:
Added:
Sept. 25, 2025, 6:32 p.m.
Stats:
|
(Last updated: Sept. 25, 2025, 6:38 p.m.)
| File | Size |
|---|---|
| Get Bonus Downloads Here.url | 180 bytes |
| 001. Introduction.en.srt | 2.9 KB |
| 001. Introduction.mp4 | 15.7 MB |
| 001. Summary.en.srt | 2.9 KB |
| 001. Summary.mp4 | 16.7 MB |
| 001. Introduction.en.srt | 4.3 KB |
| 001. Introduction.mp4 | 20.5 MB |
| 001. Summary.en.srt | 3.9 KB |
| 001. Summary.mp4 | 17.3 MB |
| Bonus Resources.txt | 70 bytes |
| 001. Introduction.en.srt | 2.4 KB |
| 001. Introduction.mp4 | 12.3 MB |
| 001. Summary.en.srt | 1.3 KB |
| 001. Summary.mp4 | 7.2 MB |
| 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 |
| 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 |
| 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 |
| 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 |
| 006. 1.5 Vector Databases.mp4 | 19.4 MB |
| 007. 1.6 Chunking Strategies.en.srt | 11.4 KB |
| 007. 1.6 Chunking Strategies.mp4 | 35.5 MB |
| 008. 1.7 RAG vs. Fine-tuning.en.srt | 16.3 KB |
| 008. 1.7 RAG vs. Fine-tuning.mp4 | 48.9 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 |
| 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 |
| 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 |
| 014. 1.13 Introducing the Model Context Protocol (MCP).en.srt | 16.5 KB |
| 014. 1.13 Introducing the Model Context Protocol (MCP).mp4 | 49.0 MB |
| 015. 1.14 Introducing A2A and AGNTCY.en.srt | 22.7 KB |
| 015. 1.14 Introducing A2A and AGNTCY.mp4 | 67.0 MB |
| 001. Learning objectives.en.srt | 542 bytes |
| 001. Learning objectives.mp4 | 3.8 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 |
| 003. 2.2 Introducing Amazon Bedrock.en.srt | 8.6 KB |
| 003. 2.2 Introducing Amazon Bedrock.mp4 | 21.0 MB |
| 004. 2.3 Surveying Amazon SageMaker.en.srt | 15.3 KB |
| 004. 2.3 Surveying Amazon SageMaker.mp4 | 36.3 MB |
| 005. 2.4 Exploring Google Vertex AI.en.srt | 16.8 KB |
| 005. 2.4 Exploring Google Vertex AI.mp4 | 43.4 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 |
| 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 |
| 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 |
| 001. Learning objectives.en.srt | 1.1 KB |
| 001. Learning objectives.mp4 | 6.7 MB |
| 002. 2.1 Introducing LangChain.en.srt | 5.9 KB |
| 002. 2.1 Introducing LangChain.mp4 | 18.1 MB |
| 003. 2.2 LangChain vs. LlamaIndex.en.srt | 5.4 KB |
| 003. 2.2 LangChain vs. LlamaIndex.mp4 | 21.0 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 |
| 005. 2.4 Introducing LangSmith.en.srt | 8.0 KB |
| 005. 2.4 Introducing LangSmith.mp4 | 24.7 MB |
| 001. Learning objectives.en.srt | 1.3 KB |
| 001. Learning objectives.mp4 | 6.6 MB |
| 002. 2.1 Defining Prompt Injection Attacks.en.srt | 17.4 KB |
| 002. 2.1 Defining Prompt Injection Attacks.mp4 | 66.1 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 | 20.0 MB |
| 001. Learning objectives.en.srt | 2.0 KB |
| 001. Learning objectives.mp4 | 9.6 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 |
| 003. 2.2 Prompt Engineering for Cybersecurity.en.srt | 3.8 KB |
| 003. 2.2 Prompt Engineering for Cybersecurity.mp4 | 11.3 MB |
| 004. 2.3 Securing AI Implementations.en.srt | 20.7 KB |
| 004. 2.3 Securing AI Implementations.mp4 | 63.1 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 |
| 001. Learning objectives.en.srt | 718 bytes |
| 001. Learning objectives.mp4 | 4.5 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 |
| 003. 3.2 Synchronizing Data and Projects.en.srt | 5.2 KB |
| 003. 3.2 Synchronizing Data and Projects.mp4 | 11.2 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 |
| 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 |
| 006. 3.5 Introducing LangChain.en.srt | 3.8 KB |
| 006. 3.5 Introducing LangChain.mp4 | 9.2 MB |
| 007. 3.6 Introducing LlamaIndex.en.srt | 2.6 KB |
| 007. 3.6 Introducing LlamaIndex.mp4 | 7.5 MB |
| 008. 3.7 Understanding Embedding Models.en.srt | 7.5 KB |
| 008. 3.7 Understanding Embedding Models.mp4 | 32.0 MB |
| 009. 3.8 Using Vector Databases.en.srt | 6.1 KB |
| 009. 3.8 Using Vector Databases.mp4 | 17.4 MB |
| 001. Learning objectives.en.srt | 1.2 KB |
| 001. Learning objectives.mp4 | 6.7 MB |
| 002. 3.1 Mastering Prompt Engineering.en.srt | 4.9 KB |
| 002. 3.1 Mastering Prompt Engineering.mp4 | 16.1 MB |
| 003. 3.2 Exploring Basic Prompt Chain Examples.en.srt | 12.0 KB |
| 003. 3.2 Exploring Basic Prompt Chain Examples.mp4 | 47.2 MB |
| 004. 3.3 Creating Prompt Branching Chains.en.srt | 14.7 KB |
| 004. 3.3 Creating Prompt Branching Chains.mp4 | 56.8 MB |
| 005. 3.4 Exploring Parallel PromptChains.en.srt | 9.1 KB |
| 005. 3.4 Exploring Parallel PromptChains.mp4 | 42.2 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 |
| 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 |
| 001. Learning objectives.en.srt | 951 bytes |
| 001. Learning objectives.mp4 | 4.9 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 001. Learning objectives.en.srt | 2.9 KB |
| 001. Learning objectives.mp4 | 14.4 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 |
| 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 |
| 004. 3.3 Exploring the CODEX Model.en.srt | 1.7 KB |
| 004. 3.3 Exploring the CODEX Model.mp4 | 3.6 MB |
| 005. 3.4 Generating Code from a Prompt.en.srt | 7.7 KB |
| 005. 3.4 Generating Code from a Prompt.mp4 | 21.0 MB |
| 006. 3.5 Explaining Existing Code.en.srt | 4.1 KB |
| 006. 3.5 Explaining Existing Code.mp4 | 13.0 MB |
| 007. 3.6 Generating Comments.en.srt | 5.5 KB |
| 007. 3.6 Generating Comments.mp4 | 14.5 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 |
| 001. Learning objectives.en.srt | 1.1 KB |
| 001. Learning objectives.mp4 | 6.2 MB |
| 002. 4.1 Introduction to AI Agent Frameworks.en.srt | 7.0 KB |
| 002. 4.1 Introduction to AI Agent Frameworks.mp4 | 19.1 MB |
| 003. 4.2 Surveying CrewAI.en.srt | 9.8 KB |
| 003. 4.2 Surveying CrewAI.mp4 | 24.5 MB |
| 004. 4.3 Introducing LangGraph.en.srt | 2.7 KB |
| 004. 4.3 Introducing LangGraph.mp4 | 10.1 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 |
| 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. 4.6 Securing Agentic Implementations.en.srt | 13.5 KB |
| 007. 4.6 Securing Agentic Implementations.mp4 | 37.3 MB |
| 001. Learning objectives.en.srt | 612 bytes |
| 001. Learning objectives.mp4 | 3.7 MB |
| 002. 4.1 Leveraging LangSmith and LangGraph.en.srt | 5.8 KB |
| 002. 4.1 Leveraging LangSmith and LangGraph.mp4 | 14.7 MB |
| 003. 4.2 Using Fine Tuning Frameworks.en.srt | 6.2 KB |
| 003. 4.2 Using Fine Tuning Frameworks.mp4 | 17.1 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 |
| 001. Learning objectives.en.srt | 1.3 KB |
| 001. Learning objectives.mp4 | 6.5 MB |
| 002. 4.1 Understanding Sensitive Information Disclosure.en.srt | 4.2 KB |
| 002. 4.1 Understanding Sensitive Information Disclosure.mp4 | 18.1 MB |
| 003. 4.2 Exploiting Insecure Plugin Design.en.srt | 4.3 KB |
| 003. 4.2 Exploiting Insecure Plugin Design.mp4 | 12.1 MB |
| 004. 4.3 Avoiding Excessive Agency.en.srt | 5.2 KB |
| 004. 4.3 Avoiding Excessive Agency.mp4 | 14.9 MB |
| 001. Learning objectives.en.srt | 1.4 KB |
| 001. Learning objectives.mp4 | 6.7 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 |
| 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 |
| 004. 4.3 Exploring AI Models for Networking Use Cases.en.srt | 3.0 KB |
| 004. 4.3 Exploring AI Models for Networking Use Cases.mp4 | 7.5 MB |
| 005. 4.4 Prompt Engineering for Networking.en.srt | 9.1 KB |
| 005. 4.4 Prompt Engineering for Networking.mp4 | 22.6 MB |
| 001. Learning objectives.en.srt | 1.4 KB |
| 001. Learning objectives.mp4 | 7.0 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 |
| 003. 5.2 Regulatory and Policy Frameworks.en.srt | 7.8 KB |
| 003. 5.2 Regulatory and Policy Frameworks.mp4 | 21.9 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 |
| 001. Learning objectives.en.srt | 885 bytes |
| 001. Learning objectives.mp4 | 4.5 MB |
| 002. 5.1 Understanding Overreliance.en.srt | 7.3 KB |
| 002. 5.1 Understanding Overreliance.mp4 | 21.2 MB |
| 003. 5.2 Exploring Model Theft Attacks.en.srt | 7.0 KB |
| 003. 5.2 Exploring Model Theft Attacks.mp4 | 16.5 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 |
| 001. Learning objectives.en.srt | 1.4 KB |
| 001. Learning objectives.mp4 | 6.8 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. 6.2 Securing Embedding Models.en.srt | 14.0 KB |
| 003. 6.2 Securing Embedding Models.mp4 | 29.3 MB |
| 004. 6.3 Securing Vector Databases.en.srt | 17.7 KB |
| 004. 6.3 Securing Vector Databases.mp4 | 41.7 MB |
| 005. 6.4 Monitoring and Incident Response.en.srt | 11.1 KB |
| 005. 6.4 Monitoring and Incident Response.mp4 | 23.4 MB |
| 001. Introduction.en.srt | 4.0 KB |
| 001. Introduction.mp4 | 18.8 MB |
| 001. Summary.en.srt | 2.2 KB |
| 001. Summary.mp4 | 10.6 MB |
Name
DL
Uploader
Size
S/L
Added
NOTE
SOURCE: Defending and Deploying AI
-----------------------------------------------------------------------------------
COVER
-----------------------------------------------------------------------------------
MEDIAINFO
None
×