Learn LangChain, Prompting, and Multi-Agent Workflows in 4 Weeks (with Live Case Study)
Cutting QA cost & time by up to 50% with batching, caching, and optimization.
A real-world case study: agents filing Jira bugs, updating TestRail, and posting Slack reports daily.
Senior SDET, SumUp
Most testers use ChatGPT. Few build with it.
Agentic AI turns prompts into working systems.
QA needs tools that reason, remember, and act.
LangChain, Streamlit, and GPT are your new stack.
Donāt just automate architect real workflows.
Future-ready testers wonāt wait to be replaced.
Testers who’ve tried LLMs and want control
Automation engineers looking to go beyond scripts
QA folks tired of prompt-copying from Reddit
Test leads exploring smarter QA workflows
Anyone familiar with APIs, Playwright, or POM
Builders whoād rather ship agents than talk about AI
ā ļø This form is for team registrations only (minimum 3 members).
What Exactly Is Agentic AI and Why QA Needs It
Choosing the Right LLMs for QA Agents (GPT, Gemini, etc.)
Prompt Engineering Deep Dive: Writing QA-Grade Prompts
Hands-On: Build Your First Mini-Agent (Requirements ā Test Case CSV)
Agentic Thinking: The Think ā Decide ā Do Model
Hands-On: Build a Log Analyzer Agent for Error Detection
Hands-On: Build a Requirement Gap Checker Agent
Demo: Manual Workflow vs Semi-Agent Workflow
LangChain Basics for QA Agents
Custom QA Tools: Coverage Analyzer, Defect Classifier, Failure Triage
Hands-On: Build a Full QA Assistant Agent
Multi-Task Demo: Logs, Test Coverage, Defects in One Run
Setup a Fake QA Service (Jira, Slack, TestRail, GitHub)
Hands-On: Agent ā Jira Integration
Hands-On: Agent ā Slack Notification
Hands-On: Agent ā TestRail Integration
Demo: End-to-End QA Workflow
LangGraph Basics ā Nodes, Edges, State, Interrupts
Designing a QA Pipeline Graph
Hands-On: Build the Graph Skeleton
Reliability Patterns: Retry, Timeout, Fallback
Human-in-the-Loop Approval Checkpoints
Hands-On: Browser Automation with Playwright
Hands-On: API Testing Agent with Requests/Newman
Combined QA Execution Agent (UI + API)
Error Handling in Execution Agents
Demo: Unified Execution Agent Run
Reliability and Error Recovery in Real Workflows
Cost Optimization for Large QA Workloads
Debugging and Monitoring QA Agents
Extending Agents for QA Teams
Case Study: A QA Agent in Production
Final Project Briefing
The Planning Part
Capstone Build Phase ā Guided Development
Showcase and Peer Review
Wrap-Up and Future Roadmap
Senior SDET, SumUp
Vignesh is a Senior SDET with significant expertise in Web automation, Mobile automation, API automation, and Performance testing.
He has been involved in Software Automation Testing for over 10+ years, demonstrating a keen interest in learning new technologies and tools that facilitate automation. Due to his passion for automation testing, he has gained extensive exposure to several tools and languages. Heās also a passionate Educator having taught over a thousand students over the past 7 years.
Test Professional
Thanks a lot to Vignesh for this Amazing workshop The Agentic AI bootcamp really helped me a lot. Course were explained using a dummy Jira and API setup. I implemented everything in a real Jira environment ā building a custom QA Agent that fetches user stories from Jira, uses product flow, previous bugs, and story mock up to generate test cases, and then automatically creates Zephyr test cases, test cycles, and links them to the respective stories and releases ā all powered by LangGraph.
DevOps Engineer
It was a very insightful session, and I can confidently use it as a foundation to explore more with Agentic AI. Vignesh did a great job making the hands-on experience approachable and comfortable.
Test Professional
Very structured captured a vast topic in 8-weeks course focused from QA Agentic AI perspective was outstanding. Thanks a lot to Vignesh for this Amazing workshop The Agentic AI bootcamp really helped me a lot. Course were explained using a dummy Jira and API setup. I implemented everything in a real Jira environment ā building a custom QA Agent that fetches user stories from Jira, uses product flow, previous bugs, and story mock up to generate test cases, and then automatically creates Zephyr test cases, test cycles, and links them to the respective stories and releases ā all powered by LangGraph.
SDET Architect
Vignesh explained LangChain, graph, and OpenAI/Ollama tools in a very simple and practical way. The session was very useful and gave me confidence to try AI agents on my own.”
Test Professional
Learnt a lot and had a great time! Very informative and everyone gets personal attention here. Vignesh is a very good instructor. he made sure all our questions were answered and did not rush through the course at all.
QA Architect
Great Course introducing the world of Agentic AI and how we can leverage in QA. Greatly recommended. Gives so much confidence in equiping ourselves to face the new challenges in AI world.
QA Architect
Agentic AI session on QE , it was an excellent and insightful program and a first foot print on learning agents . The content was highly relevant and practical. Vignesh was very knowledgeable and explained complex topics clearly along with practical. Overall, it was a valuable learning experience that I would highly recommend.
Test Lead at Moolya Testing
It may be a coincidence that I am more focused on what I am learning than I have ever been over the years, but thereās no denying the fact this bootcamp so far has given me several Eureka! moments about Software Engineering and its idiosyncrasies. The syllabus, the teaching style, the design of assignments, the deep discussions, the flexibility, the infrastructure, planning and logisticsā¦ almost everything about this camp is path breaking. I have enjoyed every bit of being a part of it.
Senior QA, Qualitest
Vignesh is a learned trainer or educator. He knows the topic so well and had answers to all the questions, his ability to answer each question patiently makes him do justice to his job.
Automation Architect, ACL Digital
This bootcamp has opened an opportunity to make use of GenAI in a very simple yet very effective way for QA day to day tasks.
Software Testing Professional, Evolent
The Test Tribe is the Worldās Largest Software Testing Community turned EdTech Startup. Started in 2018 with a mission to give Testing Craft the glory it deserves while we co-create Smarter, prouder, and confident Testers. We take pride in solving upskilling and growth for global Testing professionals through our unique offerings like Expert Courses, Membership, Cohorts, Offline Mixers, online Community spaces, and a lot of global Events. Our offerings enable Software Testers globally to collaborate, learn, and grow together. With around 270+ Software Testing Events like Conferences, Hackathons, Meetups, Webinars, etc., and with other Community initiatives, we have reached a global footprint of over 120K+ Testers from 130+ Countries. We intend to provide life-altering growth to every single Testing professional on the planet through community and technology.
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Yes, this is a hands-on bootcamp with a lot of mini-activities that you will have to perform on your laptop. So, to get the best experience for the workshop, We will suggest joining through a Laptop/Computer.
There is no major prerequisite to this workshop, but we assume that you have some knowledge of basic Python coding. The details of the pre-requisites are here.
Yes, for the people with Premium passes, You can get added to the Workshop alumni group to take guidance from the instructor and interact with your peers.Ā
Please contact us at [email protected] to get group discounts for your team
Yes, you can get access to the recordings later on if you have a premium pass for the workshop.
We will share the URL to join the bootcamp prior to the bootcamp date.
The event will run for 3 hours, from 5 PM IST to 8 PM IST, on the following dates:
Day 0 : Nov 1 (Introductory Session ~ 90 mins),
Day 1 & 2 : Nov 8 & 9 (3 hrs Session each),
Day 3 & 4 : Nov 15 & 16 (3 hrs Session each),
Day 5 & 6 : Nov 22 & 23 (3 hrs Session each),
Day 7 & 8 : Nov 29 & 30 (3 hrs Session each),
For attendees in different time zones:
In Central European Summer Time (CEST), the event will be from 1:30 PM CEST to 4:30 PM CEST.
In Coordinated Universal Time (UTC), the event will be from 11:00 AM UTC to 2:00 PM UTC.
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