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    AI Automation: Build LLM Apps & AI-Agents with n8n & APIs

    Posted By: Sigha
    AI Automation: Build LLM Apps & AI-Agents with n8n & APIs

    AI Automation: Build LLM Apps & AI-Agents with n8n & APIs
    2025-03-31
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English (US) | Size: 11.62 GB | Duration: 13h 21m

    Automate Everything: n8n, LLMs, OpenAI API, Deepseek, Ollama & RAG! Business & Private AI Agents; More than just ChatGPT

    What you'll learn
    Fundamentals of Automation, AI Agents & LLMs (ChatGPT, Claude, Gemini, Deepseek, Llama, Mistral & more)
    Introduction to automation & key tools (n8n, Make, Zapier, LangChain, LangGraph, Flowise)
    Understanding and utilizing APIs for automation
    OpenAI API: Pricing structure, compliant usage & project setup
    Function calling with LLMs: Using calendars, emails, web search, webhooks, Airtable, Google Sheets & more
    Everything about vector databases, embedding models & Retrieval-Augmented Generation (RAG)
    n8n Basics & Automation Applications
    Basics of n8n: Installation, importing, exporting & selling workflows
    Automations with Airtable, Google Sheets & Google Cloud
    Using simple JavaScript variables in automation
    Expanding AI automation with LLMs: Email automation, sentiment analysis, databases
    Integrating open-source LLMs (Deepseek R1, Llama, Mistral) into automation
    Using external LLM APIs in n8n (Deepseek API, Groq API & more)
    AI Agents & RAG Chatbots in Workflows
    Integrating AI agents & RAG chatbots into workflows
    Automated vector database updates with Google Drive
    RAG chatbot with AI agent node, embeddings & retrieval techniques
    AI-powered email agents for automated summaries & responses
    Prompt engineering: Principles, best practices & avoiding errors
    Hosting, Social Media & Advanced Automations
    n8n self-hosting with Render & other options
    Using AI agents in WhatsApp, Telegram & social media
    Web scraping & automation with sub-workflows & webhooks
    Debugging strategies for error-free n8n automation
    Connecting Flowise AI agents with webhooks & Google Sheets
    Extending n8n with Flowise & JavaScript custom tools
    Business & Market Aspects of AI Automation
    AI automation as a business: Selling automation & AI agents
    Creating market-ready RAG bots for lead generation & website integration
    Marketing strategies for successfully selling AI solutions
    Optimizing RAG chatbots: Chunk size, overlap & data quality
    LlamaIndex & LlamaParse for data preprocessing in Google Colab
    Using Firecrawl for web data extraction in Markdown format
    Security, privacy & ethical concerns: Jailbreaks, prompt injections & data poisoning
    Copyright & data protection for AI-generated data
    Legal frameworks: EU AI Act & more

    Requirements
    No prior knowledge required, everything is shown step by step.

    Description
    AI Automation is the Future!But how does it really work? And how can AI optimize business processes—on a whole new level, far beyond ChatGPT? The answer: AI Agents.This course guides you through both essential and advanced concepts in automation using AI automation, AI agents, LLMs, vector databases, Retrieval-Augmented Generation (RAG), and n8n. You'll learn how to create powerful automations, build intelligent AI agents, and seamlessly integrate them into your workflows to enhance both business and personal projects.Additionally, you'll receive 29 downloadable JSON workflows to accelerate your learning and implementation.What You’ll Learn in This Course:Fundamentals of Automation, AI Agents & LLMsDive into the world of AI automation:Introduction to automation, AI agents & essential tools (n8n, Make, Zapier, LangChain, LangGraph, Flowise).Understanding APIs and their role in automation.LLMs explained: ChatGPT, Claude, Gemini, Deepseek, Llama, Mistral & more.OpenAI API: Pricing structure, GDPR-compliant usage & project setup.Function calling with LLMs: How AI agents use tools like calendars, emails, web search, webhooks, Airtable, Google Sheets, and more.RAG (Retrieval-Augmented Generation): Vector databases & embeddings explained.n8n Basics: Installation & First WorkflowsMaster the fundamentals of n8n, the key to intelligent automation:Local installation with Node.js & using the web version without installation.Importing, exporting, and selling workflows.Setting up automations with Airtable, Google Sheets & Google Cloud.Using simple JavaScript variables in automation.Expanding AI Automation with LLMsBuild advanced AI-powered automations:Email automation with OpenAI API, Gmail, and Airtable.Real-time sentiment analysis & database storage.Integrating open-source LLMs (Deepseek R1, Llama, Mistral) into automation.Using any LLM API in n8n (Deepseek API, Groq API & more).Integrating AI Agents & RAG Chatbots into WorkflowsAutomate customer communication & data processing:RAG Agent: Automatically updating vector databases with Google Drive.RAG Chatbot using AI agent nodes, embeddings & retrieval techniques.AI-powered email agents for automated summaries & responses.Prompt Engineering for AI AgentsOptimize your prompts for better AI responses:Principles & best practices for effective prompt engineering.Avoiding errors & precisely controlling AI outputs.Hosting, Social Media & Advanced AutomationsExpand your automations with self-hosting & real-time integrations:n8n self-hosting with Render & other options.Using AI agents in WhatsApp & Telegram.Social media automation with sub-workflows, webhooks & web scraping.Debugging & Optimizing API IntegrationsEnhance performance & error handling in n8n workflows:Debugging strategies for error-free n8n automations.Connecting Flowise AI agents with webhooks & Google Sheets.Extending n8n with Flowise & JavaScript custom tools.Building a Business with AI Automation & AI AgentsLeverage your skills to create a profitable AI automation business:Selling automations & AI agents as services.Developing market-ready RAG bots for lead generation & website integration.Marketing strategies for successfully selling AI solutions.Optimizing RAG Chatbots: Data Quality & ChunkingImprove AI responses with optimized data strategies:Chunk size, overlap & data quality for better chatbot performance.Using Firecrawl for web data extraction in Markdown format.LlamaIndex & LlamaParse for data preprocessing in Google Colab.Security, Privacy & Ethical ConsiderationsProtect your AI agents & ensure GDPR compliance:Understanding & preventing jailbreaks, prompt injections & data poisoning.Ensuring copyright & data protection for AI-generated content.Key legal frameworks: EU AI Act & moreAdditionally, you'll gain access to 29 ready-to-use JSON workflows, available for download to streamline your learning experience and accelerate implementation.Become an Expert in AI Agents & Automation!After this course, you will have a deep understanding of AI automation, n8n, LLMs & RAG and be able to develop, optimize, and deploy powerful AI agents for business applications.Sign up now and step into the future of AI automation.

    Who this course is for:
    For entrepreneurs who want to become more efficient, save money, or build an AI business., For anyone eager to learn something new and gain deep insights into AI automation., For individuals interested in AI and automation who want to build their own agents., For developers and data scientists who want to stay on top of GenAI, automation, AI agents, and frameworks., For anyone looking to automate tasks.


    AI Automation: Build LLM Apps & AI-Agents with n8n & APIs


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