Defending and Deploying AI
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Defending and Deploying AI
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001. Introduction.en.srt -
001. Introduction.mp4 -
001. Summary.en.srt -
001. Summary.mp4 -
001. Introduction.en.srt -
001. Introduction.mp4 -
001. Summary.en.srt -
001. Summary.mp4 -
Bonus Resources.txt -
001. Introduction.en.srt -
001. Introduction.mp4 -
001. Summary.en.srt -
001. Summary.mp4 -
001. Learning objectives.en.srt -
001. Learning objectives.mp4 -
002. 1.1 Overview of AI Labs and Sandboxes - Home-based vs. Cloud-based.en.srt -
002. 1.1 Overview of AI Labs and Sandboxes - Home-based vs. Cloud-based.mp4 -
003. 1.2 Choosing the Right Hardware (GPUs, CPUs, Memory, etc.).en.srt -
003. 1.2 Choosing the Right Hardware (GPUs, CPUs, Memory, etc.).mp4 -
004. 1.3 Building or Buying Pre-built Systems.en.srt -
004. 1.3 Building or Buying Pre-built Systems.mp4 -
005. 1.4 Choosing the Operating Systems (Linux, Windows, macOS).en.srt -
005. 1.4 Choosing the Operating Systems (Linux, Windows, macOS).mp4 -
006. 1.5 Surveying Essential Software (Python, Anaconda, Jupyter Notebooks, and Other Frameworks).en.srt -
006. 1.5 Surveying Essential Software (Python, Anaconda, Jupyter Notebooks, and Other Frameworks).mp4 -
007. 1.6 Introducing Hugging Face.en.srt -
007. 1.6 Introducing Hugging Face.mp4 -
008. 1.7 Introducing Ollama.en.srt -
008. 1.7 Introducing Ollama.mp4 -
009. 1.8 Installing Ollama.en.srt -
009. 1.8 Installing Ollama.mp4 -
010. 1.9 Ollama Integrations.en.srt -
010. 1.9 Ollama Integrations.mp4 -
011. 1.10 Exploring the Ollama REST API.en.srt -
011. 1.10 Exploring the Ollama REST API.mp4 -
012. 1.11 Introducing Retrieval Augmented Generation (RAG).en.srt -
012. 1.11 Introducing Retrieval Augmented Generation (RAG).mp4 -
013. 1.12 Leveraging RAGFlow.en.srt -
013. 1.12 Leveraging RAGFlow.mp4 -
001. Learning objectives.en.srt -
001. Learning objectives.mp4 -
002. 1.1 Understanding the Significance of LLMs in the AI Landscape.en.srt -
002. 1.1 Understanding the Significance of LLMs in the AI Landscape.mp4 -
003. 1.2 Exploring the Resources for this Course - GitHub Repositories and Others.en.srt -
003. 1.2 Exploring the Resources for this Course - GitHub Repositories and Others.mp4 -
004. 1.3 Introducing Retrieval Augmented Generation (RAG).en.srt -
004. 1.3 Introducing Retrieval Augmented Generation (RAG).mp4 -
005. 1.4 Understanding the OWASP Top-10 Risks for LLMs.en.srt -
005. 1.4 Understanding the OWASP Top-10 Risks for LLMs.mp4 -
006. 1.5 Exploring the MITRE ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems) Framework.en.srt -
006. 1.5 Exploring the MITRE ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems) Framework.mp4 -
007. 1.6 Understanding the NIST Taxonomy and Terminology of Attacks and Mitigations.en.srt -
007. 1.6 Understanding the NIST Taxonomy and Terminology of Attacks and Mitigations.mp4 -
001. Learning objectives.en.srt -
001. Learning objectives.mp4 -
002. 1.1 Overview of the Evolution of AI-driven Tools.en.srt -
002. 1.1 Overview of the Evolution of AI-driven Tools.mp4 -
003. 1.2 Large Language Models (LLMs) and Small Language Models (SLMs).en.srt -
003. 1.2 Large Language Models (LLMs) and Small Language Models (SLMs).mp4 -
004. 1.3 Introducing LangChain, LangGraph, Llama Index, and Other Orchestration Frameworks.en.srt -
004. 1.3 Introducing LangChain, LangGraph, Llama Index, and Other Orchestration Frameworks.mp4 -
005. 1.4 An Overview of Open-source AI Models and Hugging Face.en.srt -
005. 1.4 An Overview of Open-source AI Models and Hugging Face.mp4 -
006. 1.5 Introducing Retrieval Augmented Generation (RAG).en.srt -
006. 1.5 Introducing Retrieval Augmented Generation (RAG).mp4 -
007. 1.6 Introducing Embedding Models.en.srt -
007. 1.6 Introducing Embedding Models.mp4 -
008. 1.7 Introducing Vector Databases - pgvector, Chroma, MongoDB Atlas Vector Search, and others.en.srt -
008. 1.7 Introducing Vector Databases - pgvector, Chroma, MongoDB Atlas Vector Search, and others.mp4 -
009. 1.8 Introducing Semantic Search.en.srt -
009. 1.8 Introducing Semantic Search.mp4 -
001. Learning objectives.en.srt -
001. Learning objectives.mp4 -
002. 1.1 Introduction to Retrieval Augmented Generation (RAG).en.srt -
002. 1.1 Introduction to Retrieval Augmented Generation (RAG).mp4 -
003. 1.2 Exploring the GitHub Repositories and Additional Resources.en.srt -
003. 1.2 Exploring the GitHub Repositories and Additional Resources.mp4 -
004. 1.3 Embeddings and Embedding Models.en.srt -
004. 1.3 Embeddings and Embedding Models.mp4 -
005. 1.4 Indexing Techniques.en.srt -
005. 1.4 Indexing Techniques.mp4 -
006. 1.5 Vector Databases.en.srt -
006. 1.5 Vector Databases.mp4 -
007. 1.6 Chunking Strategies.en.srt -
007. 1.6 Chunking Strategies.mp4 -
008. 1.7 RAG vs. Fine-tuning.en.srt -
008. 1.7 RAG vs. Fine-tuning.mp4 -
009. 1.8 RAG, RAG Fusion, and RAPTOR.en.srt -
009. 1.8 RAG, RAG Fusion, and RAPTOR.mp4 -
010. 1.9 Running Open Weight Models with Ollama.en.srt -
010. 1.9 Running Open Weight Models with Ollama.mp4 -
011. 1.10 Exploring Open WebUI and Other Ollama Plugins.en.srt -
011. 1.10 Exploring Open WebUI and Other Ollama Plugins.mp4 -
012. 1.11 Introduction to AI Agents and Agentic Implementations.en.srt -
012. 1.11 Introduction to AI Agents and Agentic Implementations.mp4 -
013. 1.12 Introduction to Agentic RAG.en.srt -
013. 1.12 Introduction to Agentic RAG.mp4 -
014. 1.13 Introducing the Model Context Protocol (MCP).en.srt -
014. 1.13 Introducing the Model Context Protocol (MCP).mp4 -
015. 1.14 Introducing A2A and AGNTCY.en.srt -
015. 1.14 Introducing A2A and AGNTCY.mp4 -
001. Learning objectives.en.srt -
001. Learning objectives.mp4 -
002. 2.1 Advantages and Disadvantages of Cloud AI Labs and Sandboxes.en.srt -
002. 2.1 Advantages and Disadvantages of Cloud AI Labs and Sandboxes.mp4 -
003. 2.2 Introducing Amazon Bedrock.en.srt -
003. 2.2 Introducing Amazon Bedrock.mp4 -
004. 2.3 Surveying Amazon SageMaker.en.srt -
004. 2.3 Surveying Amazon SageMaker.mp4 -
005. 2.4 Exploring Google Vertex AI.en.srt -
005. 2.4 Exploring Google Vertex AI.mp4 -
006. 2.5 Using Microsoft Azure AI Foundry.en.srt -
006. 2.5 Using Microsoft Azure AI Foundry.mp4 -
007. 2.6 Discussing Cost Management and Security.en.srt -
007. 2.6 Discussing Cost Management and Security.mp4 -
008. 2.7 Using Terraform to Deploy Ollama in the Cloud.en.srt -
008. 2.7 Using Terraform to Deploy Ollama in the Cloud.mp4 -
001. Learning objectives.en.srt -
001. Learning objectives.mp4 -
002. 2.1 Introducing LangChain.en.srt -
002. 2.1 Introducing LangChain.mp4 -
003. 2.2 LangChain vs. LlamaIndex.en.srt -
003. 2.2 LangChain vs. LlamaIndex.mp4 -
004. 2.3 Prompt templates and system prompts.en.srt -
004. 2.3 Prompt templates and system prompts.mp4 -
005. 2.4 Introducing LangSmith.en.srt -
005. 2.4 Introducing LangSmith.mp4 -
001. Learning objectives.en.srt -
001. Learning objectives.mp4 -
002. 2.1 Defining Prompt Injection Attacks.en.srt -
002. 2.1 Defining Prompt Injection Attacks.mp4 -
003. 2.2 Exploring Real-life Prompt Injection Attacks.en.srt -
003. 2.2 Exploring Real-life Prompt Injection Attacks.mp4 -
004. 2.3 Using ChatML for OpenAI API Calls to Indicate to the LLM the Source of Prompt Input.en.srt -
004. 2.3 Using ChatML for OpenAI API Calls to Indicate to the LLM the Source of Prompt Input.mp4 -
005. 2.4 Enforcing Privilege Control on LLM Access to Backend Systems.en.srt -
005. 2.4 Enforcing Privilege Control on LLM Access to Backend Systems.mp4 -
006. 2.5 Best Practices Around API Tokens for Plugins, Data Access, and Function-level Permissions.en.srt -
006. 2.5 Best Practices Around API Tokens for Plugins, Data Access, and Function-level Permissions.mp4 -
007. 2.6 Understanding Insecure Output Handling Attacks.en.srt -
007. 2.6 Understanding Insecure Output Handling Attacks.mp4 -
008. 2.7 Using the OWASP ASVS to Protect Against Insecure Output Handling.en.srt -
008. 2.7 Using the OWASP ASVS to Protect Against Insecure Output Handling.mp4 -
001. Learning objectives.en.srt -
001. Learning objectives.mp4 -
002. 2.1 Accelerating Network Security Tasks with AI.en.srt -
002. 2.1 Accelerating Network Security Tasks with AI.mp4 -
003. 2.2 Prompt Engineering for Cybersecurity.en.srt -
003. 2.2 Prompt Engineering for Cybersecurity.mp4 -
004. 2.3 Securing AI Implementations.en.srt -
004. 2.3 Securing AI Implementations.mp4 -
005. 2.4 Exploring Network Security Processes Incorporating AI Tools.en.srt -
005. 2.4 Exploring Network Security Processes Incorporating AI Tools.mp4 -
001. Learning objectives.en.srt -
001. Learning objectives.mp4 -
002. 3.1 Using Hybrid AI Labs - Combining Home and Cloud Resources.en.srt -
002. 3.1 Using Hybrid AI Labs - Combining Home and Cloud Resources.mp4 -
003. 3.2 Synchronizing Data and Projects.en.srt -
003. 3.2 Synchronizing Data and Projects.mp4 -
004. 3.3 Leveraging the Strengths of Both Environments.en.srt -
004. 3.3 Leveraging the Strengths of Both Environments.mp4 -
005. 3.4 Running Open-Source Models Available on Hugging Face.en.srt -
005. 3.4 Running Open-Source Models Available on Hugging Face.mp4 -
006. 3.5 Introducing LangChain.en.srt -
006. 3.5 Introducing LangChain.mp4 -
007. 3.6 Introducing LlamaIndex.en.srt -
007. 3.6 Introducing LlamaIndex.mp4 -
008. 3.7 Understanding Embedding Models.en.srt -
008. 3.7 Understanding Embedding Models.mp4 -
009. 3.8 Using Vector Databases.en.srt -
009. 3.8 Using Vector Databases.mp4 -
001. Learning objectives.en.srt -
001. Learning objectives.mp4 -
002. 3.1 Mastering Prompt Engineering.en.srt -
002. 3.1 Mastering Prompt Engineering.mp4 -
003. 3.2 Exploring Basic Prompt Chain Examples.en.srt -
003. 3.2 Exploring Basic Prompt Chain Examples.mp4 -
004. 3.3 Creating Prompt Branching Chains.en.srt -
004. 3.3 Creating Prompt Branching Chains.mp4 -
005. 3.4 Exploring Parallel PromptChains.en.srt -
005. 3.4 Exploring Parallel PromptChains.mp4 -
006. 3.5 Creating a Basic RAG Application.en.srt -
006. 3.5 Creating a Basic RAG Application.mp4 -
007. 3.6 Creating a Complete RAG Application.en.srt -
007. 3.6 Creating a Complete RAG Application.mp4 -
001. Learning objectives.en.srt -
001. Learning objectives.mp4 -
002. 3.1 Understanding Training Data Poisoning Attacks.en.srt -
002. 3.1 Understanding Training Data Poisoning Attacks.mp4 -
003. 3.2 Exploring Model Denial of Service Attacks.en.srt -
003. 3.2 Exploring Model Denial of Service Attacks.mp4 -
004. 3.3 Understanding the Risks of the AI and ML Supply Chain.en.srt -
004. 3.3 Understanding the Risks of the AI and ML Supply Chain.mp4 -
005. 3.4 Best Practices when Using Open-Source Models from Hugging Face and Other Sources.en.srt -
005. 3.4 Best Practices when Using Open-Source Models from Hugging Face and Other Sources.mp4 -
006. 3.5 Securing Amazon BedRock, SageMaker, Microsoft Azure AI Services, and Other Environme.mp4 -
006. 3.5 Securing Amazon BedRock, SageMaker, Microsoft Azure AI Services, and Other Environme.srt -
001. Learning objectives.en.srt -
001. Learning objectives.mp4 -
002. 3.1 Exploring How AI is Revolutionizing Software Development.en.srt -
002. 3.1 Exploring How AI is Revolutionizing Software Development.mp4 -
003. 3.2 Surveying GitHub Copilot, Cursor, and Cody.en.srt -
003. 3.2 Surveying GitHub Copilot, Cursor, and Cody.mp4 -
004. 3.3 Exploring the CODEX Model.en.srt -
004. 3.3 Exploring the CODEX Model.mp4 -
005. 3.4 Generating Code from a Prompt.en.srt -
005. 3.4 Generating Code from a Prompt.mp4 -
006. 3.5 Explaining Existing Code.en.srt -
006. 3.5 Explaining Existing Code.mp4 -
007. 3.6 Generating Comments.en.srt -
007. 3.6 Generating Comments.mp4 -
008. 3.7 Prompt Engineering for Software Development.en.srt -
008. 3.7 Prompt Engineering for Software Development.mp4 -
001. Learning objectives.en.srt -
001. Learning objectives.mp4 -
002. 4.1 Introduction to AI Agent Frameworks.en.srt -
002. 4.1 Introduction to AI Agent Frameworks.mp4 -
003. 4.2 Surveying CrewAI.en.srt -
003. 4.2 Surveying CrewAI.mp4 -
004. 4.3 Introducing LangGraph.en.srt -
004. 4.3 Introducing LangGraph.mp4 -
005. 4.4 Exploring Examples of LangGraph in Action.en.srt -
005. 4.4 Exploring Examples of LangGraph in Action.mp4 -
006. 4.5 Exploring an Example of Agents with MCP Servers.en.srt -
006. 4.5 Exploring an Example of Agents with MCP Servers.mp4 -
007. 4.6 Securing Agentic Implementations.en.srt -
007. 4.6 Securing Agentic Implementations.mp4 -
001. Learning objectives.en.srt -
001. Learning objectives.mp4 -
002. 4.1 Leveraging LangSmith and LangGraph.en.srt -
002. 4.1 Leveraging LangSmith and LangGraph.mp4 -
003. 4.2 Using Fine Tuning Frameworks.en.srt -
003. 4.2 Using Fine Tuning Frameworks.mp4 -
004. 4.3 High-Performance Computing and Edge AI.en.srt -
004. 4.3 High-Performance Computing and Edge AI.mp4 -
001. Learning objectives.en.srt -
001. Learning objectives.mp4 -
002. 4.1 Understanding Sensitive Information Disclosure.en.srt -
002. 4.1 Understanding Sensitive Information Disclosure.mp4 -
003. 4.2 Exploiting Insecure Plugin Design.en.srt -
003. 4.2 Exploiting Insecure Plugin Design.mp4 -
004. 4.3 Avoiding Excessive Agency.en.srt -
004. 4.3 Avoiding Excessive Agency.mp4 -
001. Learning objectives.en.srt -
001. Learning objectives.mp4 -
002. 4.1 Exploring how AI is Revolutionizing Networking.en.srt -
002. 4.1 Exploring how AI is Revolutionizing Networking.mp4 -
003. 4.2 Using GitHub Copilot for Programming Tasks Related to Networking.en.srt -
003. 4.2 Using GitHub Copilot for Programming Tasks Related to Networking.mp4 -
004. 4.3 Exploring AI Models for Networking Use Cases.en.srt -
004. 4.3 Exploring AI Models for Networking Use Cases.mp4 -
005. 4.4 Prompt Engineering for Networking.en.srt -
005. 4.4 Prompt Engineering for Networking.mp4 -
001. Learning objectives.en.srt -
001. Learning objectives.mp4 -
002. 5.1 Exploring Additional Applications of AI in Emerging Technologies.en.srt -
002. 5.1 Exploring Additional Applications of AI in Emerging Technologies.mp4 -
003. 5.2 Regulatory and Policy Frameworks.en.srt -
003. 5.2 Regulatory and Policy Frameworks.mp4 -
004. 5.3 Staying Updated on Advancements in AI and Cybersecurity.en.srt -
004. 5.3 Staying Updated on Advancements in AI and Cybersecurity.mp4 -
001. Learning objectives.en.srt -
001. Learning objectives.mp4 -
002. 5.1 Understanding Overreliance.en.srt -
002. 5.1 Understanding Overreliance.mp4 -
003. 5.2 Exploring Model Theft Attacks.en.srt -
003. 5.2 Exploring Model Theft Attacks.mp4 -
004. 5.3 Understanding Red Teaming of AI Models.en.srt -
004. 5.3 Understanding Red Teaming of AI Models.mp4 -
001. Learning objectives.en.srt -
001. Learning objectives.mp4 -
002. 6.1 Understanding the RAG, LangChain, Llama Index, and AI Orchestration.en.srt -
002. 6.1 Understanding the RAG, LangChain, Llama Index, and AI Orchestration.mp4 -
003. 6.2 Securing Embedding Models.en.srt -
003. 6.2 Securing Embedding Models.mp4 -
004. 6.3 Securing Vector Databases.en.srt -
004. 6.3 Securing Vector Databases.mp4 -
005. 6.4 Monitoring and Incident Response.en.srt -
005. 6.4 Monitoring and Incident Response.mp4 -
001. Introduction.en.srt -
001. Introduction.mp4 -
001. Summary.en.srt -
001. Summary.mp4 -
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Get Bonus Downloads Here.url -
180 bytes
001. Introduction.en.srt -
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001. Introduction.mp4 -
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001. Summary.en.srt -
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001. Summary.mp4 -
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001. Introduction.en.srt -
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001. Summary.en.srt -
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001. Summary.mp4 -
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Bonus Resources.txt -
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001. Introduction.en.srt -
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001. Introduction.mp4 -
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001. Summary.en.srt -
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001. Summary.mp4 -
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001. Learning objectives.en.srt -
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001. Learning objectives.mp4 -
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002. 1.1 Overview of AI Labs and Sandboxes - Home-based vs. Cloud-based.en.srt -
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002. 1.1 Overview of AI Labs and Sandboxes - Home-based vs. Cloud-based.mp4 -
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003. 1.2 Choosing the Right Hardware (GPUs, CPUs, Memory, etc.).en.srt -
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003. 1.2 Choosing the Right Hardware (GPUs, CPUs, Memory, etc.).mp4 -
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004. 1.3 Building or Buying Pre-built Systems.en.srt -
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004. 1.3 Building or Buying Pre-built Systems.mp4 -
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005. 1.4 Choosing the Operating Systems (Linux, Windows, macOS).en.srt -
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005. 1.4 Choosing the Operating Systems (Linux, Windows, macOS).mp4 -
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006. 1.5 Surveying Essential Software (Python, Anaconda, Jupyter Notebooks, and Other Frameworks).en.srt -
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006. 1.5 Surveying Essential Software (Python, Anaconda, Jupyter Notebooks, and Other Frameworks).mp4 -
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007. 1.6 Introducing Hugging Face.en.srt -
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008. 1.7 Introducing Ollama.en.srt -
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008. 1.7 Introducing Ollama.mp4 -
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009. 1.8 Installing Ollama.en.srt -
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010. 1.9 Ollama Integrations.en.srt -
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010. 1.9 Ollama Integrations.mp4 -
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011. 1.10 Exploring the Ollama REST API.en.srt -
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011. 1.10 Exploring the Ollama REST API.mp4 -
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012. 1.11 Introducing Retrieval Augmented Generation (RAG).en.srt -
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013. 1.12 Leveraging RAGFlow.en.srt -
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001. Learning objectives.en.srt -
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002. 1.1 Understanding the Significance of LLMs in the AI Landscape.en.srt -
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002. 1.1 Understanding the Significance of LLMs in the AI Landscape.mp4 -
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003. 1.2 Exploring the Resources for this Course - GitHub Repositories and Others.en.srt -
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003. 1.2 Exploring the Resources for this Course - GitHub Repositories and Others.mp4 -
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004. 1.3 Introducing Retrieval Augmented Generation (RAG).en.srt -
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005. 1.4 Understanding the OWASP Top-10 Risks for LLMs.en.srt -
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006. 1.5 Exploring the MITRE ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems) Framework.en.srt -
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006. 1.5 Exploring the MITRE ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems) Framework.mp4 -
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007. 1.6 Understanding the NIST Taxonomy and Terminology of Attacks and Mitigations.en.srt -
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001. Learning objectives.en.srt -
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002. 1.1 Overview of the Evolution of AI-driven Tools.en.srt -
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003. 1.2 Large Language Models (LLMs) and Small Language Models (SLMs).en.srt -
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004. 1.3 Introducing LangChain, LangGraph, Llama Index, and Other Orchestration Frameworks.en.srt -
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005. 1.4 An Overview of Open-source AI Models and Hugging Face.en.srt -
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006. 1.5 Introducing Retrieval Augmented Generation (RAG).en.srt -
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007. 1.6 Introducing Embedding Models.en.srt -
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008. 1.7 Introducing Vector Databases - pgvector, Chroma, MongoDB Atlas Vector Search, and others.en.srt -
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009. 1.8 Introducing Semantic Search.en.srt -
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001. Learning objectives.en.srt -
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002. 1.1 Introduction to Retrieval Augmented Generation (RAG).en.srt -
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003. 1.2 Exploring the GitHub Repositories and Additional Resources.en.srt -
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004. 1.3 Embeddings and Embedding Models.en.srt -
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005. 1.4 Indexing Techniques.en.srt -
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006. 1.5 Vector Databases.en.srt -
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007. 1.6 Chunking Strategies.en.srt -
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008. 1.7 RAG vs. Fine-tuning.en.srt -
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009. 1.8 RAG, RAG Fusion, and RAPTOR.en.srt -
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009. 1.8 RAG, RAG Fusion, and RAPTOR.mp4 -
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010. 1.9 Running Open Weight Models with Ollama.en.srt -
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011. 1.10 Exploring Open WebUI and Other Ollama Plugins.en.srt -
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012. 1.11 Introduction to AI Agents and Agentic Implementations.en.srt -
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013. 1.12 Introduction to Agentic RAG.en.srt -
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014. 1.13 Introducing the Model Context Protocol (MCP).en.srt -
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015. 1.14 Introducing A2A and AGNTCY.en.srt -
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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
Related torrents
| Torrent Name | Added | Size | Seed | Leech | Health |
|---|---|---|---|---|---|
| 2025-09-25 | 3.4 GB | 2 | 6 |
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