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Keep shoppingQuick Start to AI and Agentic AI : Real World Apps using n8n
460 students
Quick Start to AI and Agentic AI : Real World Apps using n8n
AI for Beginners: Build No-Code AI Agents with LLMs, ChatGPT, Gemini, n8n,RAG,Airtop,Lovable,Replit,ElevenLabs,Vector DB
Created byAnkit Shah
Last updated 3/2026
English
What you'll learn
- Understand core AI and Agentic AI concepts. Apply AI to real organizational use cases
- Build real-world AI automations using n8n
- Explain the internal working of ChatGPT and decoder-based large language models (LLMs).
- Design and orchestrate Agentic AI workflows. Automate repetitive and time-consuming tasks
- Understand linear regression and logistic regression concepts
- Describe how neural networks function, including activation function and backpropagation.
- Understand embeddings and how they convert text and data into numerical representations.
- Explain how vector databases store and retrieve embeddings for context-aware AI systems.
- Describe the attention mechanism and understand how it powers modern large language models.
- Build Retrieval-Augmented Generation (RAG) agents to create intelligent company chatbots using embeddings and vector databases.
- Design and deploy Browser Agents to automate repetitive tasks such as website interaction and data entry.
- Develop Vision Agents capable of analyzing visual data for use cases such as stock trading insights.
- Create Video Analyzer Agents that process video content and trigger automated notifications.
- Build Coding Agents that can generate websites or applications from images or prompts.
- Use n8n to design and orchestrate scalable, no-code/low-code AI workflows by integrating models, tools, and external systems.
- Implement real-world AI automation solutions using tools like Airtop, Lovable, and Replit to solve business and productivity challenges.
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Course content
10 sections • 66 lectures • 4h 43m total length
Requirements
- No programming knowledge required. You will learn everything you need to know
Description
This beginner-friendly course is designed to take you on a complete AI journey, from foundational concepts to real-world Agentic AI applications. It introduces Artificial Intelligence (AI) and Machine Learning in a simple, intuitive way, helping you understand how modern AI systems actually work behind the scenes. You will learn essential fundamentals such as linear and logistic regression, neural networks, backpropagation, embeddings, vector databases, and the attention mechanism, along with a clear explanation of the internal working of ChatGPT and large language models (LLMs).
A core focus of this course is practical implementation using n8n, which serves as backbone for building intelligent, agentic workflows. You will learn how to connect AI models, tools, and systems to design scalable automations without complex coding. Through hands-on examples, you will build RAG Agents, Browser Agents, Vision Agents, and Coding Agents, applying concepts like embeddings and vector databases to enable context-aware and intelligent decision-making.
The course also introduces modern AI tools such as Airtop, Lovable, and Replit, enabling you to automate tasks like document understanding, website interaction, video summarization, coding assistance, and data entry using LLMs and AI agents.
No prior coding or AI experience is required. This course is built for anyone who wants to embrace AI with confidence, understand its foundations, and apply it meaningfully in real-world scenarios—supporting the mission of AI for Everyone.
Who this course is for:
- This course is for anyone who wants to get introduced to Artificial Intelligence and Agentic AI, regardless of their technical background.
- Students and fresh graduates who want to build a strong foundation in AI .
- Working professionals looking to understand and apply AI in real-world scenarios
- Business owners and entrepreneurs who want to explore how AI can improve processes and decision-making
- Anyone curious about AI and eager to embrace the future of intelligent automation .No prior coding or AI experience is required. If you are willing to learn and explore, this course is designed for you.
- Non-technical professionals who want to use AI without learning complex coding