No-Code AI Course: Build AI Apps & Automations Without Coding
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Low-code / No-Code AI Solutions

Instructor: Arun Kumar A R Instructor - Brisa Technologies

Centre for Development of Advanced Computing (C-DAC)

Course Fees: ₹6,999/-

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Starting On:
Dec. 30, 2025

Format:
Video Lessons + Demo
Language:
English
Duration:
8 hours
Certificate:
Digital Copy
Audience:
QA Engineers / Test Automation Engineers,Software Professionals,DevOps Engineers

Course Overview

The No-Code AI course provides a complete introduction to building AI-powered solutions without the need for programming skills. It equips learners with the knowledge and practical experience to create intelligent workflows, chatbots, automation systems, and AI-driven applications using popular no-code tools. Through a combination of theory, hands-on exercises, and real-world projects, participants learn how to apply AI to solve business problems, streamline operations, and enhance productivity.

What You'll Learn

In this course, you’ll learn how to build powerful AI-driven applications, chatbots, and automation workflows without writing any code. You’ll gain a strong understanding of prompt engineering, no-code AI tools, and real-world automation techniques using platforms like ChatGPT, Zapier, Make.com, Voiceflow, and Bubble. You’ll also learn how to design AI workflows, integrate AI with spreadsheets and databases, generate dynamic content, automate business processes, and create fully functional no-code AI apps. Along the way, you’ll work on hands-on projects that help you develop practical experience and build a professional portfolio that showcases your AI capabilities

Why Enroll in this Course?

Enrolling in the No-Code AI course empowers learners to build powerful AI-driven solutions without needing any programming background. The course is designed to help students, working professionals, and business owners understand how AI can automate tasks, improve productivity, and generate real business value. By mastering industry-leading tools such as ChatGPT, Zapier, Voiceflow, Make.com, and Notion AI, learners can quickly create chatbots, automation workflows, dashboards, and AI-powered applications with ease.

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

 

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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

Optional Certification Exam: ₹499/-
Certification Criteria: Minimum 75% score required
Certificate Type: Digital e-certificate (no hard copies)
Exam Date: To be announced after course completion

Certificate Sample