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AI-Agents: Automation & Business with LangChain & LLM Apps

سرفصل های دوره

AI Agents with Node.js, Python, JavaScript, LangChain, LangGraph, GPT-4o, Llama, and RAG! Automate tasks, sell software


1. Introduction and Overview
  • 1. Welcome.html
  • 2. Explanation of the Links
  • 3.1 Links.docx
  • 3.2 Links.pdf
  • 3. Important Links.html

  • 2. Basics AI Agents, LLMs, Function Calling, Vector Databases & Embeddings
  • 1. What This Section is About
  • 2. What are AI-Agents A quick overview
  • 3. What are LLMs like ChatGPT, Claude, Gemini, Llama, Mistral etc.
  • 4. What is Function Calling in LLMs
  • 5. Vector Databases, Embedding Models & Retrieval-Augmented Generation (RAG)
  • 6. AI Agents explained & Tools like Autogen, LangChain, LangGraph, CrewAI & more
  • 7. What is a API Function calling for AI-Agents with APIs
  • 8. Recap What You Have Learned So Far

  • 3. Creating Your First AI Agents
  • 1. What Will You Learn in This Section
  • 2. Running Flowise Locally with Node.js Installing Node
  • 3. Installing Flowise with Node.js via Command Prompt
  • 4. The Flowise Interface LangChainLangGraph made Easy
  • 5. Our First AI Agent Boss, Creative Writer & Title Generator
  • 6. AI Agent No. 2 Social Media Strategy & Prompt Engineering for AI Agents
  • 7. AI Agent No. 3 Function Calling, Lead Research on the Web & Personal Emails
  • 8. Agent 4 Function Calling, Python Interpreter, Calculator & Local Text Storage
  • 9. Summary Important Points You Should Not Forget

  • 4. Advanced AI Agents RAG, Custom Tools & Actions in Apps
  • 1. What is This Section About
  • 2. RAG AI Agent Training LLMs on Your Data & Automatic Content Storage
  • 3. Tips for Better RAG Apps Firecrawl for Your Web Data
  • 4. RAG with LlamaIndex & LlamaParse Data Preparation for PDFs, Docs, CSV & More
  • 5. Chunk Size and Chunk Overlap for a Better RAG Application
  • 6. Overview of Custom Tools in Flowise
  • 7. Connect any API to Flowise with Custom Tools & JavaScript Functions
  • 8. Custom Tools and Automation of Gmail with Make (Part. 1)
  • 9. Automation of Gmail with Make scenarios, Webhooks, & Google API (Part 2)
  • 10. Recap What You Have Learned and Mistakes to Avoid

  • 5. AI Agents for Business Hosting, Lead Generation & Sales
  • 1. What Will You Learn Here
  • 2. Applications of AI Agents in Business
  • 3. Example of a Simple AI-Agent then we can sell
  • 4. External Hosting of Chatbots for Clients (or for us) on Render
  • 5. Integrating AI Agents in Websites or Using Them as Standalone Apps
  • 6. Making Standalone Apps More Appealing
  • 7. Visually Improving Chatbots on Websites Branding, Style & Integrating Links
  • 8. Generating Leads, Integrating Audio Models & Additional Functions
  • 9. Selling AI Agents Marketing, Customer Acquisition, Offer, Sales & Warranty
  • 10. Summary Important Points to Remember!

  • 6. Creating Your Own AI Assistant, Similar to Microsoft Copilot
  • 1. What Will We Learn in This Section
  • 2. Overview of the Python Code on Github
  • 3. Installing Visual Studio Code (VS Code) for Python, Javascript & more
  • 4. Installing Git for Projects from GitHub
  • 5. Our Project Microsoft Copilot with Vision as Our Own AI Agent (In Python)
  • 6. Additional Tips, Use Cases, Different Voices & Prompts
  • 7. Security, API Costs, Speed & Hardware
  • 8. Copy my Python Code (if you like)
  • 9.1 Code & requirements (2).txt
  • 9. Code & Requirements for Desktop Recording (Simple).html
  • 10. Recap What You Should Not Forget

  • 7. AI Agents with Open-Source LLMs Private & Uncensored AI on Your PC
  • 1. What is This Section About
  • 2. Pros and Cons of Open-Source LLMs like Llama3.1, Mistral & More
  • 3. Installing Ollama and Downloading Open-Source LLMs
  • 4. A Simple Open-Source AI Agent with Llama 3.1 & Ollama (LangChainLangGraph)
  • 5. Advanced Open-Source AI Agent with Llama 3.1 Responding to Emails
  • 6. Local RAG Chatbot with Flowise, Llama3 & Ollama A Local Langchain App
  • 7. Insanely fast inference with the Groq API
  • 8. Llama 3.1 Infos and What Models should you use
  • 9. Important Points to Remember

  • 8. Issues, Security, and Copyrights in AI Agents
  • 1. What Will We Learn in This Section
  • 2. Jailbreaks A Method to Hack LLMs with Prompts
  • 3. Prompt Injections Another Security Vulnerability of LLMs
  • 4. Data Poisoning and Backdoor Attacks
  • 5. Copyrights & Intellectual Property of Generated Data from AI Agents
  • 6. Privacy & Protection for your own and Client Data
  • 7. Recap Important Points to Remember!

  • 9. Whats Next
  • 1. Whats Next and My Thank You!
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    تاریخ انتشار: 2 آبان 1403
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