Build a Test Case Generation AI Agent with n8n
Learn to design a visible n8n workflow that takes requirements, runs LLM prompts, and generates structured QA test cases through a simple custom UI.
Watch a quick preview of what you will build
Paste Requirement
User story, acceptance criteria, or feature notes.
Run the n8n workflow
Connect inputs, LLM prompts, logic, and output formatting.
Review test cases
Functional, negative, boundary, and expected results in one output.
Click any step card to inspect execution state · Interactive n8n node mockups
Deadline: July 16
Don't Miss Out
AI will change your career.
The testers who adapt first will lead. Stay ahead of the shift — build real AI skills while others wait.
Analytics India Magazine
AI Agents Are Replacing Manual QA Workflows in Top Tech Teams
Organizations adopting AI-native QA tools report up to 60% reduction in test case creation time across sprint cycles.
2 hours ago
TechCrunch
n8n Hits 100K Deployments as No-Code AI Automation Explodes
The open-source workflow builder hits a milestone as QA and DevOps teams adopt agentic builders at record pace.
1 day ago
Forbes
Why QA Professionals Who Skip AI Will Struggle in 2025 Job Market
Industry analysts say AI workflow automation is now a core QA hiring requirement in over 40% of new job listings.
5 hours ago
Entrepreneur
AI Quality Engineering Market Projected to Reach $8.5B by 2027
Venture funding into AI-powered test generation tools tripled in 2024, signaling a major shift in how software is validated.
3 days ago
The New York Times
Companies Now Require AI Workflow Skills for Senior QA Roles
Job postings for QA engineers increasingly list prompt engineering and AI agent orchestration as mandatory competencies.
12 hours ago
Wired
LLMs Generate Test Cases With 78% Coverage on First Pass
A benchmark study shows modern language models outperform junior testers when given structured requirements as input.
4 days ago
Analytics India Magazine
AI Agents Are Replacing Manual QA Workflows in Top Tech Teams
Organizations adopting AI-native QA tools report up to 60% reduction in test case creation time across sprint cycles.
2 hours ago
TechCrunch
n8n Hits 100K Deployments as No-Code AI Automation Explodes
The open-source workflow builder hits a milestone as QA and DevOps teams adopt agentic builders at record pace.
1 day ago
Forbes
Why QA Professionals Who Skip AI Will Struggle in 2025 Job Market
Industry analysts say AI workflow automation is now a core QA hiring requirement in over 40% of new job listings.
5 hours ago
Entrepreneur
AI Quality Engineering Market Projected to Reach $8.5B by 2027
Venture funding into AI-powered test generation tools tripled in 2024, signaling a major shift in how software is validated.
3 days ago
The New York Times
Companies Now Require AI Workflow Skills for Senior QA Roles
Job postings for QA engineers increasingly list prompt engineering and AI agent orchestration as mandatory competencies.
12 hours ago
Wired
LLMs Generate Test Cases With 78% Coverage on First Pass
A benchmark study shows modern language models outperform junior testers when given structured requirements as input.
4 days ago
MIT Technology Review
The End of Manual Test Case Writing Is Closer Than You Think
Researchers agree: within 2 years, AI will handle the first draft of all structured test documentation.
6 hours ago
VentureBeat
QA Teams Using AI Agents Report 3x Faster Sprint Validation Cycles
Early adopters of agentic QA automation are shipping features faster while maintaining higher defect detection rates.
2 days ago
InfoQ
Prompt Engineering Is Now the Core Skill Every QA Engineer Needs
Engineering leaders say structured prompting is now as critical as Selenium or Cypress experience for senior QA roles.
8 hours ago
Business Insider
How One QA Team Cut Testing Backlog by 70% Using n8n and LLMs
A SaaS company shares how they built a 3-node n8n workflow that auto-generates test cases directly from Jira stories.
1 week ago
IEEE Spectrum
AI Test Generation Outperforms Human Testers in Edge Case Coverage
New research shows AI-assisted test suites achieve 94% edge case coverage vs. 67% for manually authored test plans.
3 days ago
ZDNet
The Race to Automate QA: Why n8n and LLMs Are at the Center
Enterprises are gravitating toward n8n's visual workflow builder to bridge AI models and real QA pipelines at scale.
5 days ago
MIT Technology Review
The End of Manual Test Case Writing Is Closer Than You Think
Researchers agree: within 2 years, AI will handle the first draft of all structured test documentation.
6 hours ago
VentureBeat
QA Teams Using AI Agents Report 3x Faster Sprint Validation Cycles
Early adopters of agentic QA automation are shipping features faster while maintaining higher defect detection rates.
2 days ago
InfoQ
Prompt Engineering Is Now the Core Skill Every QA Engineer Needs
Engineering leaders say structured prompting is now as critical as Selenium or Cypress experience for senior QA roles.
8 hours ago
Business Insider
How One QA Team Cut Testing Backlog by 70% Using n8n and LLMs
A SaaS company shares how they built a 3-node n8n workflow that auto-generates test cases directly from Jira stories.
1 week ago
IEEE Spectrum
AI Test Generation Outperforms Human Testers in Edge Case Coverage
New research shows AI-assisted test suites achieve 94% edge case coverage vs. 67% for manually authored test plans.
3 days ago
ZDNet
The Race to Automate QA: Why n8n and LLMs Are at the Center
Enterprises are gravitating toward n8n's visual workflow builder to bridge AI models and real QA pipelines at scale.
5 days ago
The Reality of QA
QA is changing faster than most testers are preparing for.
Manual testing and automation skills still matter. But QA teams are now expected to generate scenarios faster, reduce repetitive test design effort, and use AI inside real testing workflows.
Most AI sessions are too theoretical. This workshop is different. You will build an AI agent for a real QA use case.
Workshop Features
Agent Output Preview
See the Agent Generate QA Scenarios Live
Select a requirement below and trigger the simulated n8n AI agent. See how it identifies edge cases, structures negative scenarios, and outputs ready-to-use QA test suites.
Agent Input
Agent Process Logic
Identify validation states, empty codes, expired coupons, boundary discount percentages (e.g. 0% and 100%), negative values, currency calculation precision, and multiple coupon application blocks.
Agent Output
Click "Generate Test Cases" on the left to trigger the Agent n8n workflow.
Workshop Outcome
By the end, you will have a working AI agent.
Prompt like a QA professional
Use structured prompting to get better test cases, scenarios, and expected results. Learn to engineer prompts built around requirement constraints.
Build the n8n workflow
Connect inputs, LLM prompts, processing, and formatted outputs using a no-code agentic workflow builder. Set up loops and custom system nodes.
Create a usable agent UI
Turn the backend workflow into a simple, polished web interface that manual or automation testers can immediately use in daily iterations.
Curriculum Overview
Two focused evenings. One working agent.
Step-by-step curriculum to transition from raw requirements to visual AI automation.
LLM Basics and Prompt Engineering
Focuses on prompt structure, AI models, and mastering the frameworks needed for QA test designs.
What you will learn:
- Introduction to Generative AI and Large Language Models.
- How Generative AI differs from Machine Learning and Deep Learning.
- What prompts are and how prompts control output quality.
- ICEPOT framework for structured prompting.
- Advanced prompting techniques for real QA use cases.
Build Your Test Case Generator Agent
Get hands-on in n8n. Link LLM calls with inputs, format output structures, and configure the custom agent UI.
What you will learn:
- Introduction to n8n and no-code agentic workflow building.
- Difference between n8n Cloud and local deployment.
- Build a Test Case Generator Agent using n8n workflow.
- Connect prompts, inputs, and structured test case outputs.
- Design a custom UI for the Test Case Generator Agent.
Your Mentor
Learn from a practicing AI expert.
Not theory. Real workflows, real outputs — from someone who builds and teaches AI daily.
Mr. Sudarshan Ramanujam
Senior AI Trainer | AVP, Qeagle Assurance Private Limited
Sudarshan brings QA, automation, and AI workflow experience into one practical workshop. The focus is clear: help testers understand enough GenAI to build something useful, not sit through abstract AI theory.
Target Audience
If you can understand a test case,
you can learn to build this agent.
Manual Testers
Who want to move into AI-powered QA and automate testing design scenarios.
Automation Testers
Who want to add agentic AI workflows and prompts to their existing toolsets.
SDETs
Exploring intelligent agentic testing pipelines and structured JSON model integrations.
QA Leads & Managers
Evaluating AI adoption metrics for teams and seeking practical GenAI clarity.
Test Managers
Looking to streamline scenario pipelines and reduce manual test documentation lag.
Curious Testers
Who have heard about LLMs and AI, but do not know where or how to build first.
Workshop Pricing
A low-risk way to stop watching AI
and start building with it.
- 6 hours of guided hands-on training.
- Prompt engineering framework for QA use cases.
- n8n workflow building practice.
- Test Case Generator Agent implementation.
- Custom UI flow for your agent.
- Certificate of completion.
One-time registration payment · Instant access
Note: July 16 – July 17 | 7 PM – 10 PM IST | Built for QA professionals, manual testers, automation testers, SDETs, and QA leads.
FAQ
Questions, answered.
NewWhat are the pre-requisites for n8n installation and setup?+
Do I need AI or ML experience?+
Do I need coding experience?+
Is this useful for manual testers?+
What exactly will I build?+
Is this a webinar or hands-on workshop?+
Your next QA skill is not just automation.
It is AI agent building.
Spend 2 evenings learning how to build your first AI Test Case Generation Agent with guided support.