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

Instructor: Arun Kumar A R Instructor - Brisa Technologies

Centre for Development of Advanced Computing (C-DAC)

Course Fees: Free /-

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Starting On:
July 10, 2025

Format:
Offline
Language:
English
Duration:
12 hours 
Certificate:
Digital Copy
Audience:
Anyone curious about building intelligent systems without programming

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/ 


 

What You'll Learn

 


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


 

 

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

 

 

Course Syllabus

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.
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.
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.
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.
AI-Powered Meeting Scheduler
Automated Market Research & Lead Enrichment Agent

Instructor Profile

Arun Kumar A R
Arun Kumar A R

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

 

See more

Testimonials

Real stories from developers who upskilled, built projects, and advanced their careers with
GenAInstein Student Internship Program.

The course helped me truly understand how to work with LLMs and build GenAI apps from scratch. The hands-on projects and mentorship gave me the confidence to apply these skills at work.
RM
Rahul M.
Software Engineer
As a student, I was overwhelmed by all the AI hype. GenAInstein's course broke it down clearly and helped me build actual working apps. I even added one to my portfolio!
SK
Sneha K.
Final Year Student
What stood out was how practical everything was. I wasn't just learning theory—I was building things, using RAG pipelines, and even integrating APIs. This course is gold for developers.
AS
Arjun S.
Developer
The curriculum was very well-structured, and the mentors were incredibly helpful. It's rare to find a course that balances cutting-edge content with hands-on coding so well.
PD
Priya D.
Tech Lead

Certification Details

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

Certificate Sample