No-Code AI Agents for Students | Build AI Workflows with n8n – Hyrathon

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No-Code AI Agents Development for Everyone

(Offline)


Instructor: Arun Kumar A R
Instructor-Brisa Technologies

Centre for Development of Advanced Computing (C-DAC)




Course Overview

In this hands-on 12-hour program, students are introduced to the power of Generative AI and autonomous AI agents—without needing to write any code. Using n8n, an open-source no-code automation platform, learners will create intelligent workflows capable of performing tasks like drafting email replies, scheduling meetings, and enriching business leads. With a focus on practical projects, students will leave the course equipped to build real-world AI agents that automate everyday tasks and enhance productivity.

Notes:

 

  • Each session will start with a recap of the previous session and Q&A for the previous session.
  • Each session will end with the trainer describing homework / assignment/ 

 

  • College students from any discipline (tech or non-tech)
  • Beginners exploring AI and automation with no coding experience
  • Creators and aspiring entrepreneurs interested in AI-powered tools
  • Students preparing for internships or projects in GenAI
  • Anyone curious about building intelligent systems without programming


  • Fundamentals of AI, ML, Generative AI, and Prompt Engineering
  • What AI agents are and how they work in the real world
  • Designing workflows using n8n and integrating AI capabilities
  • Using LLMs for natural language understanding and generation
  • Automating real-life tasks like:
        - Email response generation
        - Calendar management
        - Market research and data analysis
  • Applying no-code AI tools to build autonomous systems
  • Creating multi-step, logic-driven workflows with real-world value


Course Syllabus

Introduction to Generative AI
2 hours
Introduction to AI and ML: High-level overview of Artificial Intelligence and Machine Learning concepts.
How LLMs Work: High-level understanding of Large Language Models, their architecture, and text generation mechanisms.
Prompt Engineering Basics: Principles and practical techniques for effective interaction with LLMs to generate desired outputs.
Understanding AI Agents
2 hours
What is an AI Agent? Defining AI agents as autonomous systems that perceive their environment, make decisions, and take actions to achieve specific goals.
Core Components of an AI Agent: Exploring the key modules of an agent: Perception (data input), Reasoning (decision-making), Action (executing tasks), and Learning (memory and improvement).
Types of AI Agents: Differentiating between various agents, such as text-generative, image-generative, and decision-making agents.
Mastering Automation with n8n
4 hours
Introduction to n8n: Overview of n8n as a flexible, open-source automation tool. Understanding its core concepts of nodes and visual workflows.
Building Workflows in n8n: A guided walkthrough of creating a basic workflow, such as fetching articles from a source like Hacker News and sending them to Discord.
Native AI Integrations: Exploring n8n's built-in AI capabilities and its integration with frameworks for building custom AI applications without code.
Mini-Project 2: AI-Powered Customer Inquiry Responder
4 hours
Project Goal: Create an AI agent that analyzes incoming emails and drafts intelligent replies.
Hands-on with n8n: Trigger: Use a new email in a Gmail inbox as the trigger.
Hands-on with n8n: Reasoning: Use an AI node to analyze the email's content and intent.
Hands-on with n8n: Generate a relevant reply and save it as a draft in Gmail for human review before sending.
Suggested Projects (n8n Project Assignments)
AI-Powered Meeting Scheduler
Automated Market Research & Lead Enrichment Agent
Arun Kumar A R

Arun Kumar A R

AI & ML | Data Science & Analytics | AI-ML Model Building | Generative AI | Corporate Trainer

Course Highlights


Course Status: Enrollment Open
Format: Offline, Instructor Led
Language: English
Duration: 12 hours 
Category: GenAI
Audience: Anyone curious about building intelligent systems without programming
Start Date: 10 July 2025
End Date: 10 Aug 2025
Enrollment Deadline: Ongoing
Exam Registration Deadline: 10 Aug 2025
Exam Date
: Immediate (after course completion)

Free Access: NO [Download Brochure for further details]
Certification Exam: [Download Brochure]
Certification Criteria: Minimum 75% score required
Certificate Type: Digital e-certificate (no hard copies)
Exam Date: To be announced after course completion

Why Enroll in This Course?

  • Learn AI without code – Ideal for beginners or non-CS students
  • Create usable AI agents – Not just theory; build real automations
  • Hands-on with n8n – Learn a powerful, industry-relevant no-code tool
  • Gain practical skills – From customer service bots to lead generation agents
  • Get project-ready – Perfect for academic projects, startup ideas, or job prep
  • Understand modern AI workflows – Explore how LLMs drive decision-making in no-code environments


Join the GenAI revolution. Start learning about Large Language Models today!
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