Build Powerful No-Code AI Agents with n8n, ChatGPT & Pinec
Published 5/2025 Created by Aman Awan MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 65 Lectures ( 14h 43m ) | Size: 7.31 GB
Master AI automation with real-world projects. Use n8n, ChatGPT, and vector databases to build powerful no-code AI agent
What you'll learn
Build real-world no-code AI agents using n8n, OpenAI, and Pinecone
Automate emails, lead generation, client onboarding, and outreach without writing code
Create RAG (Retrieval-Augmented Generation) chatbots with vector databases
Use vector embeddings, tokenization, and text processing for AI automation
Compare AI tools like ChatGPT vs Claude, and Pinecone vs Supabase
Design and deploy scalable AI workflows using n8n’s visual interface
Master prompt engineering and AI output parsing in automation workflows
Build and manage automation projects for freelancers, businesses, and clients
Develop your own AI personal assistant, newsletter agents, and Google scrapers
Understand AI agent systems architecture and workflow optimization best practices
Course Description
Are you ready to future-proof your career or business by mastering AI automation, without writing a single line of code? This hands-on course will teach you how to build powerful, real-world AI automation agents using n8n, ChatGPT (OpenAI and Claude), and vector databases like Pinecone and Supabase.This course is your complete guide to no-code AI automation. Whether you’re an entrepreneur, freelancer, developer, or aspiring AI consultant, you’ll discover how to leverage cutting-edge tools to automate tasks, generate leads, handle emails, scrape data, and deploy scalable AI solutions — all without writing code.With step-by-step tutorials, live builds, and client-ready projects, you’ll walk away with job-ready skills and portfolio-worthy AI agents.What You’ll LearnBuild no-code AI agents with n8n, OpenAI, and PineconeUnderstand the fundamentals of RAG (Retrieval-Augmented Generation) and vector databasesAutomate lead nurturing, email management, and data scrapingConnect AI tools with workflows using n8n’s visual interfaceCreate client-ready AI automation projects with real-world use casesCompare and evaluate AI models (OpenAI vs Anthropic, Open Source vs Closed Source)Structure AI agent workflows for businesses and personal productivityMaster prompting, tokenisation, embeddings, and optimisation strategiesScale automation projects for clients using a systematic build processCourse HighlightsOver 60 lectures of expert, step-by-step instructionReal use cases include Google scraping, LinkedIn automation, newsletters, and personal assistantsIn-depth explanation of tools like ChatGPT, Claude, n8n, Supabase, and PineconeAdvanced vector database concepts, including tokenisation, dimensions, and retrievalClient build section with projects from scoping to deploymentMonthly competitions and community interaction to support ongoing growthWho This Course Is ForEntrepreneurs and freelancers who want to use AI to streamline operationsBeginners looking to break into the AI automation space without learning to codeAgencies and developers who want to offer AI-powered automation as a serviceContent creators, marketers, and solopreneurs looking to automate repetitive tasksAnyone interested in building custom AI agents for lead generation, communication, and workflow automation
Who this course is for
Beginners and non-coders who want to break into AI and automation without learning to code
Freelancers and consultants looking to offer high-demand AI automation services to clients
Entrepreneurs, solopreneurs, and small business owners who want to automate repetitive tasks and scale operations
Tech enthusiasts and productivity hackers interested in building custom AI workflows and personal assistant agents
Agencies and developers exploring AI tools like n8n, ChatGPT, and Pinecone for client automation projects
Content creators, marketers, and lead generation experts seeking to streamline processes using AI
Anyone curious about vector databases, RAG chatbots, or no-code AI tools and their real-world applications
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