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Quick Start to AI and Agentic AI : Real World Apps using n8n
IT & Software100% OFF

Quick Start to AI and Agentic AI : Real World Apps using n8n

Ankit Shah
4.8(262 students)
Self-paced
Beginner

About this course

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.

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Level: Beginner

Suitable for learners at this level

Duration: Self-paced

Total course content

Instructor: Ankit Shah

Expert course creator

This course includes:

  • 📹Video lectures
  • 📄Downloadable resources
  • 📱Mobile & desktop access
  • 🎓Certificate of completion
  • ♾️Lifetime access
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