GenAI & Agentic AI for Automation Testers: From Prompts to Autonomous Test Agents

GenAI & Agentic AI for Automation Testers: From Prompts to Autonomous Test Agents

(Master the next wave of software testing by leveraging Generative AI and agentic systems to design, execute, and triage tests autonomously. Learn to move beyond simple prompts and build intelligent test agents that integrate seamlessly into modern QA workflows.)

GenAI & Agentic AI for Automation Testers: From Prompts to Autonomous Test Agents is a hands-on program designed to help QA professionals, SDETs, and automation testers transform the way they design, execute, and maintain tests.

With the rapid adoption of Generative AI and Agentic AI across industries, testers are expected to move beyond traditional automation and embrace intelligent, autonomous systems. This course takes you step by step from prompt engineering for test generation to building and deploying autonomous test agents that can create test cases, generate synthetic data, refactor flaky scripts, and even triage defects.

About the Instructor:

Live Sessions  Price:

For LIVE sessions – Offer price after discount is 300 USD 259 USD 89 USD Or 13000 INR 12900 INR 6900 Rupees

Enroll For Free Demo

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What will I learn by the end of this course?

• Leverage Generative AI for Testing
  Transform requirements or user stories into structured test cases, boundary scenarios, and test data using LLMs.
• Master Prompt Engineering for QA
  Craft effective prompts and guardrails that produce reliable, verifiable, and reusable testing artifacts.
• Auto-Generate & Refactor Automation Scripts
  Use AI to generate Selenium/Playwright/Cypress scripts, self-heal flaky tests, and optimize selectors with minimal manual effort.
• Design & Deploy Autonomous Test Agents
  Build intelligent agents using frameworks like LangChain, AutoGen, and OpenAI Agents that can discover, execute, and triage tests on their own.
• Integrate AI into CI/CD Pipelines
  Connect your autonomous test agents with Jenkins, GitHub Actions, or GitLab to run in production workflows and post real-time results.
• Implement RAG (Retrieval-Augmented Generation)
  Ground your test generation on real product documentation to minimize hallucinations and increase reliability.
• Ensure Governance & Quality of AI Outputs
  Learn to evaluate AI-generated test artifacts, implement human-in-the-loop reviews, and apply risk mitigation strategies.
• Capstone Project
  Deliver a fully functional Autonomous Test Agent that runs against a sample application, generates structured reports, and integrates with issue trackers like Jira or Slack.

Free Demo Session:

20th October @ 9:00 PM – 10 PM (IST) (Indian Timings)

20th October @ 11:30 AM – 12:30 PM (EST) (U.S Timings)

20th October @ 4:30 PM – 5:30 PM (BST) (UK Timings)

Class Schedule:

For Participants in India: Monday to Friday @ 9:00 PM – 10: PM (IST)

For Participants in the US: Monday to Friday @ 11:30 AM – 12:30 PM (EST)

For Participants in the UK: Monday to Friday @ 4:30 PM – 5:30 PM (BST)

What students have to say about Rohan:

Salient Features:

• 30+ Hours of Live Training along with recorded videos
• Lifetime access to the recorded videos
• Course Completion Certificate

Who can enroll for this course?

• Automation Testers & SDETs – looking to upgrade from traditional automation to AI-driven and autonomous testing.
• Manual Testers – aiming to transition into automation and build future-ready GenAI/Agentic AI skills.
• QA Leads & Test Architects – who want to integrate AI-powered agents into team workflows and CI/CD pipelines.
• Developers owning QA responsibilities – who wish to reduce test maintenance effort and accelerate release cycles.
• Tech Enthusiasts / Career Switchers – with basic programming knowledge (Python/JavaScript) who want to enter the fast-growing AI+QA space.

Course syllabus:

• Module 1 — Onboarding & Prework (self-paced)

  • Python/JS refresher (or provide language tracks)

  • Git basics, Docker basics, intro to REST/APIs

• Module 2 — Foundations of GenAI & Agentic AI for Testing

  • LLM basics, embeddings, RAG, hallucinations, evaluation metrics

  • What is Agentic AI vs. single-turn LLM usage — agent lifecycles and responsibilities. 
    Hands-on: interact with an LLM (OpenAI / local LLM) to generate test cases from requirements

• Module 3 — Prompt Engineering & Guardrails for QA

  • Effective prompts for requirements → test cases; templates for boundary, negative, exploratory tests

  • Chains-of-thought, tool use, verifiable outputs, system instructions
    Hands-on: build a prompt library that converts user stories into structured test cases and test data

• Module 4 — GenAI for Test Design & Test Data 

  • Auto-generate test cases, test data combinatorics, mutation testing with LLMs

  • Data privacy and synthetic data generation best practices
    Hands-on: generate 200+ distinct test cases and realistic synthetic test data for a sample app

• Module 5 — Auto-generate & Refactor Automation Code 

  • Use Copilot/GitHub Copilot/LLM code gen to create Selenium / Playwright / Cypress scripts; test reliability strategies

  • Test maintenance: auto-refactor selectors, flaky test mitigation, test-to-selector mappings (MCP server / Playwright examples). 
    Hands-on: generate Playwright tests for a demo app and run them locally; refactor a flaky test using LLM suggestions

• Module 6 — Building Agentic Testers 

  • Architectures for autonomous test agents: controllers, memory, tools, planning (LangChain / AutoGen / custom orchestrator)

  • Agent capabilities: test discovery, test execution orchestration, triage & bug filing, self-healing attempts
    Hands-on: build a small agent (LangChain or OpenAI Agents / AutoGen style) that: reads a ticket → generates tests → executes them → files a report

• Module 7 — Production Integration & CI/CD 

  • Integrate agents into CI (GitHub Actions / Jenkins / GitLab) — scheduling, resource controls, cost management

  • Observability, logging, human-in-the-loop approval flows, security considerations (secrets, PII)
    Hands-on: pipeline: commit → agent generates tests → run in headless cloud → post results to Slack/Jira

• Module 8 — Evaluation, Governance & Risk Mitigation 

  • Testing agent outputs (metrics), reducing hallucinations with RAG + verification, versioning models

  • Compliance & audit trails for AI-generated test artifacts
    Hands-on: implement a RAG retrieval layer against product docs to ground test generation

How can I enroll for this course?

Enroll For Free Demo

OR

For any other details, Call me or Whatsapp me on +91-9133190573

Live Sessions  Price:

For LIVE sessions – Offer price after discount is 300 USD 259 USD 89 USD Or 13000 INR 12900 INR 6900 Rupees

Sample Course Completion Certificate:

Your course completion certificate looks like this….

Important Note:
To maintain the quality of our training and ensure smooth progress for all learners, we do not allow batch repetition or switching between courses. Once you enroll in a batch, please make sure to attend the classes regularly as per the schedule. We kindly request you to plan your learning accordingly. Thank you for your support and understanding.