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001. Introduction.en.srt
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001. Introduction.mp4
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001. Learning objectives.en.srt
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001. Learning objectives.mp4
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001. Summary.en.srt
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001. Summary.mp4
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002. 1.1 Introduction to Retrieval Augmented Generation (RAG).en.srt
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002. 1.1 Introduction to Retrieval Augmented Generation (RAG).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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002. 1.1 Overview of the Evolution of AI-driven Tools.en.srt
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002. 1.1 Overview of the Evolution of AI-driven Tools.mp4
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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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002. 2.1 Accelerating Network Security Tasks with AI.en.srt
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002. 2.1 Accelerating Network Security Tasks with AI.mp4
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002. 2.1 Advantages and Disadvantages of Cloud AI Labs and Sandboxes.en.srt
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002. 2.1 Advantages and Disadvantages of Cloud AI Labs and Sandboxes.mp4
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002. 2.1 Defining Prompt Injection Attacks.en.srt
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002. 2.1 Defining Prompt Injection Attacks.mp4
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002. 2.1 Introducing LangChain.en.srt
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002. 2.1 Introducing LangChain.mp4
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002. 3.1 Exploring How AI is Revolutionizing Software Development.en.srt
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002. 3.1 Exploring How AI is Revolutionizing Software Development.mp4
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002. 3.1 Mastering Prompt Engineering.en.srt
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002. 3.1 Mastering Prompt Engineering.mp4
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002. 3.1 Understanding Training Data Poisoning Attacks.en.srt
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002. 3.1 Understanding Training Data Poisoning Attacks.mp4
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002. 3.1 Using Hybrid AI Labs - Combining Home and Cloud Resources.en.srt
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002. 3.1 Using Hybrid AI Labs - Combining Home and Cloud Resources.mp4
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002. 4.1 Exploring how AI is Revolutionizing Networking.en.srt
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002. 4.1 Exploring how AI is Revolutionizing Networking.mp4
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002. 4.1 Introduction to AI Agent Frameworks.en.srt
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002. 4.1 Introduction to AI Agent Frameworks.mp4
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002. 4.1 Leveraging LangSmith and LangGraph.en.srt
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002. 4.1 Leveraging LangSmith and LangGraph.mp4
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002. 4.1 Understanding Sensitive Information Disclosure.en.srt
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002. 4.1 Understanding Sensitive Information Disclosure.mp4
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002. 5.1 Exploring Additional Applications of AI in Emerging Technologies.en.srt
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002. 5.1 Exploring Additional Applications of AI in Emerging Technologies.mp4
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002. 5.1 Understanding Overreliance.en.srt
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002. 5.1 Understanding Overreliance.mp4
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002. 6.1 Understanding the RAG, LangChain, Llama Index, and AI Orchestration.en.srt
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002. 6.1 Understanding the RAG, LangChain, Llama Index, and AI Orchestration.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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003. 1.2 Exploring the GitHub Repositories and Additional Resources.en.srt
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003. 1.2 Exploring the GitHub Repositories and Additional Resources.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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003. 1.2 Large Language Models (LLMs) and Small Language Models (SLMs).en.srt
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003. 1.2 Large Language Models (LLMs) and Small Language Models (SLMs).mp4
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003. 2.2 Exploring Real-life Prompt Injection Attacks.en.srt
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003. 2.2 Exploring Real-life Prompt Injection Attacks.mp4
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003. 2.2 Introducing Amazon Bedrock.en.srt
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003. 2.2 Introducing Amazon Bedrock.mp4
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003. 2.2 LangChain vs. LlamaIndex.en.srt
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003. 2.2 LangChain vs. LlamaIndex.mp4
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003. 2.2 Prompt Engineering for Cybersecurity.en.srt
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003. 2.2 Prompt Engineering for Cybersecurity.mp4
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003. 3.2 Exploring Basic Prompt Chain Examples.en.srt
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003. 3.2 Exploring Basic Prompt Chain Examples.mp4
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003. 3.2 Exploring Model Denial of Service Attacks.en.srt
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003. 3.2 Exploring Model Denial of Service Attacks.mp4
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003. 3.2 Surveying GitHub Copilot, Cursor, and Cody.en.srt
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003. 3.2 Surveying GitHub Copilot, Cursor, and Cody.mp4
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003. 3.2 Synchronizing Data and Projects.en.srt
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003. 3.2 Synchronizing Data and Projects.mp4
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003. 4.2 Exploiting Insecure Plugin Design.en.srt
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003. 4.2 Exploiting Insecure Plugin Design.mp4
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003. 4.2 Surveying CrewAI.en.srt
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003. 4.2 Surveying CrewAI.mp4
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003. 4.2 Using Fine Tuning Frameworks.en.srt
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003. 4.2 Using Fine Tuning Frameworks.mp4
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003. 4.2 Using GitHub Copilot for Programming Tasks Related to Networking.en.srt
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003. 4.2 Using GitHub Copilot for Programming Tasks Related to Networking.mp4
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003. 5.2 Exploring Model Theft Attacks.en.srt
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003. 5.2 Exploring Model Theft Attacks.mp4
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003. 5.2 Regulatory and Policy Frameworks.en.srt
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003. 5.2 Regulatory and Policy Frameworks.mp4
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003. 6.2 Securing Embedding Models.en.srt
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003. 6.2 Securing Embedding Models.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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004. 1.3 Embeddings and Embedding Models.en.srt
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004. 1.3 Embeddings and Embedding Models.mp4
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004. 1.3 Introducing LangChain, LangGraph, Llama Index, and Other Orchestration Frameworks.en.srt
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004. 1.3 Introducing LangChain, LangGraph, Llama Index, and Other Orchestration Frameworks.mp4
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004. 1.3 Introducing Retrieval Augmented Generation (RAG).en.srt
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004. 1.3 Introducing Retrieval Augmented Generation (RAG).mp4
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004. 2.3 Prompt templates and system prompts.en.srt
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004. 2.3 Prompt templates and system prompts.mp4
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004. 2.3 Securing AI Implementations.en.srt
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004. 2.3 Securing AI Implementations.mp4
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004. 2.3 Surveying Amazon SageMaker.en.srt
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004. 2.3 Surveying Amazon SageMaker.mp4
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004. 2.3 Using ChatML for OpenAI API Calls to Indicate to the LLM the Source of Prompt Input.en.srt
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004. 2.3 Using ChatML for OpenAI API Calls to Indicate to the LLM the Source of Prompt Input.mp4
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004. 3.3 Creating Prompt Branching Chains.en.srt
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004. 3.3 Creating Prompt Branching Chains.mp4
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004. 3.3 Exploring the CODEX Model.en.srt
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004. 3.3 Exploring the CODEX Model.mp4
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004. 3.3 Leveraging the Strengths of Both Environments.en.srt
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004. 3.3 Leveraging the Strengths of Both Environments.mp4
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004. 3.3 Understanding the Risks of the AI and ML Supply Chain.en.srt
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004. 3.3 Understanding the Risks of the AI and ML Supply Chain.mp4
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004. 4.3 Avoiding Excessive Agency.en.srt
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004. 4.3 Avoiding Excessive Agency.mp4
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004. 4.3 Exploring AI Models for Networking Use Cases.en.srt
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004. 4.3 High-Performance Computing and Edge AI.en.srt
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004. 4.3 Introducing LangGraph.en.srt
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004. 5.3 Staying Updated on Advancements in AI and Cybersecurity.en.srt
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004. 5.3 Staying Updated on Advancements in AI and Cybersecurity.mp4
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004. 5.3 Understanding Red Teaming of AI Models.en.srt
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004. 5.3 Understanding Red Teaming of AI Models.mp4
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004. 6.3 Securing Vector Databases.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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005. 1.4 An Overview of Open-source AI Models and Hugging Face.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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005. 1.4 Indexing Techniques.en.srt
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005. 1.4 Indexing Techniques.mp4
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005. 1.4 Understanding the OWASP Top-10 Risks for LLMs.en.srt
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005. 1.4 Understanding the OWASP Top-10 Risks for LLMs.mp4
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005. 2.4 Enforcing Privilege Control on LLM Access to Backend Systems.en.srt
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005. 2.4 Enforcing Privilege Control on LLM Access to Backend Systems.mp4
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005. 2.4 Exploring Google Vertex AI.en.srt
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005. 2.4 Exploring Google Vertex AI.mp4
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005. 2.4 Exploring Network Security Processes Incorporating AI Tools.en.srt
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005. 2.4 Exploring Network Security Processes Incorporating AI Tools.mp4
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005. 2.4 Introducing LangSmith.en.srt
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005. 3.4 Best Practices when Using Open-Source Models from Hugging Face and Other Sources.en.srt
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005. 3.4 Best Practices when Using Open-Source Models from Hugging Face and Other Sources.mp4
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005. 3.4 Exploring Parallel PromptChains.en.srt
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005. 3.4 Exploring Parallel PromptChains.mp4
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005. 3.4 Generating Code from a Prompt.en.srt
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005. 3.4 Generating Code from a Prompt.mp4
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005. 3.4 Running Open-Source Models Available on Hugging Face.en.srt
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005. 3.4 Running Open-Source Models Available on Hugging Face.mp4
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005. 4.4 Exploring Examples of LangGraph in Action.en.srt
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005. 4.4 Exploring Examples of LangGraph in Action.mp4
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005. 4.4 Prompt Engineering for Networking.en.srt
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005. 6.4 Monitoring and Incident Response.en.srt
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005. 6.4 Monitoring and Incident Response.mp4
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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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006. 1.5 Introducing Retrieval Augmented Generation (RAG).en.srt
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006. 1.5 Introducing Retrieval Augmented Generation (RAG).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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006. 1.5 Vector Databases.en.srt
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006. 1.5 Vector Databases.mp4
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006. 2.5 Best Practices Around API Tokens for Plugins, Data Access, and Function-level Permissions.en.srt
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006. 2.5 Best Practices Around API Tokens for Plugins, Data Access, and Function-level Permissions.mp4
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006. 2.5 Using Microsoft Azure AI Foundry.en.srt
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006. 2.5 Using Microsoft Azure AI Foundry.mp4
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006. 3.5 Creating a Basic RAG Application.en.srt
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006. 3.5 Creating a Basic RAG Application.mp4
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006. 3.5 Explaining Existing Code.en.srt
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006. 3.5 Introducing LangChain.en.srt
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006. 3.5 Introducing LangChain.mp4
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006. 3.5 Securing Amazon BedRock, SageMaker, Microsoft Azure AI Services, and Other Environme.mp4
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006. 3.5 Securing Amazon BedRock, SageMaker, Microsoft Azure AI Services, and Other Environme.srt
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006. 4.5 Exploring an Example of Agents with MCP Servers.en.srt
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006. 4.5 Exploring an Example of Agents with MCP Servers.mp4
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007. 1.6 Chunking Strategies.en.srt
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007. 1.6 Chunking Strategies.mp4
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007. 1.6 Introducing Embedding Models.en.srt
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007. 1.6 Introducing Embedding Models.mp4
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007. 1.6 Introducing Hugging Face.en.srt
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007. 1.6 Introducing Hugging Face.mp4
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007. 1.6 Understanding the NIST Taxonomy and Terminology of Attacks and Mitigations.en.srt
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007. 1.6 Understanding the NIST Taxonomy and Terminology of Attacks and Mitigations.mp4
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007. 2.6 Discussing Cost Management and Security.en.srt
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007. 2.6 Discussing Cost Management and Security.mp4
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007. 2.6 Understanding Insecure Output Handling Attacks.en.srt
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007. 2.6 Understanding Insecure Output Handling Attacks.mp4
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8.4 MB
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007. 3.6 Creating a Complete RAG Application.en.srt
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007. 3.6 Creating a Complete RAG Application.mp4
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007. 3.6 Generating Comments.en.srt
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007. 3.6 Generating Comments.mp4
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007. 3.6 Introducing LlamaIndex.en.srt
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007. 3.6 Introducing LlamaIndex.mp4
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007. 4.6 Securing Agentic Implementations.en.srt
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007. 4.6 Securing Agentic Implementations.mp4
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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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008. 1.7 Introducing Vector Databases - pgvector, Chroma, MongoDB Atlas Vector Search, and others.en.srt
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008. 1.7 Introducing Vector Databases - pgvector, Chroma, MongoDB Atlas Vector Search, and others.mp4
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008. 1.7 RAG vs. Fine-tuning.en.srt
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008. 1.7 RAG vs. Fine-tuning.mp4
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008. 2.7 Using Terraform to Deploy Ollama in the Cloud.en.srt
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008. 2.7 Using Terraform to Deploy Ollama in the Cloud.mp4
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008. 2.7 Using the OWASP ASVS to Protect Against Insecure Output Handling.en.srt
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008. 2.7 Using the OWASP ASVS to Protect Against Insecure Output Handling.mp4
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20 MB
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008. 3.7 Prompt Engineering for Software Development.en.srt
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008. 3.7 Prompt Engineering for Software Development.mp4
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008. 3.7 Understanding Embedding Models.en.srt
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008. 3.7 Understanding Embedding Models.mp4
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32 MB
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009. 1.8 Installing Ollama.en.srt
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009. 1.8 Installing Ollama.mp4
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009. 1.8 Introducing Semantic Search.en.srt
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009. 1.8 Introducing Semantic Search.mp4
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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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009. 3.8 Using Vector Databases.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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47 MB
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010. 1.9 Running Open Weight Models with Ollama.en.srt
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010. 1.9 Running Open Weight Models with Ollama.mp4
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011. 1.10 Exploring Open WebUI and Other Ollama Plugins.en.srt
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011. 1.10 Exploring Open WebUI and Other Ollama Plugins.mp4
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011. 1.10 Exploring the Ollama REST API.en.srt
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012. 1.11 Introducing Retrieval Augmented Generation (RAG).en.srt
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012. 1.11 Introducing Retrieval Augmented Generation (RAG).mp4
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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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013. 1.12 Introduction to Agentic RAG.mp4
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013. 1.12 Leveraging RAGFlow.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
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Bonus Resources.txt
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102.4 B
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Get Bonus Downloads Here.url
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204.8 B
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