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Software Testing with AI Agents | Agentic AI Testing

Name: Software Testing with AI Agents | Agentic AI Testing
Rating: 4.1 (83 reviews)

Learn how to create and Army of AI Testing Agents with Microsoft Autogen, Chatgpt, Langchain, Browser Use, FlowiseAI

Created byDan Andrei Bucureanu

Last updated 9/2025

English

English [Auto],

What you'll learn

Learn the basics of AI
Learn the architecture and components of AI Agents
Understand which are the tools out there in the world of Agentic AI
Understand how to use AI Agents it Test automation
Learn how to create an automation AI Framework with Playwright and ZeroSTEP
Learn the basics of Microsoft Autogen
Learn how to create agents that self improve and evaluate a task
Understand the Basics of Browser - Use an agentic ai Operator style
Understand how memory tokens and context affect the results of Gen AI
Learn how to migrate tests from one technology to another
Gain understanding of Flowise AI, and agentic AI toolkit
Generate context aware tests with Langchain and python
Hand on Laboratories with Python
Playwright and JS AI Framework Creation
Access to Github Repo for you to simply use
Learn to use Playwright agent mode with MCP and Copilot
Learn to use Playwright agent mode with OPEN AI Codex Agent

Course content

11 sections • 71 lectures • 6h 28m total length

Introduction6:54
About your instructor2:00
Agentic AI - Demo On AI Agent that can Automatically Create Tests6:43
Do not skip - AI for Testing the DOs and DONTs21:39
Understand what are the limitation, what you can and cannot do in all phases of a software testing project

DEMO - Agents that critique stories4:26
See how ai agents generate and critique stories, verify quality with acceptance criteria and definition of ready, and publish to Jira in a quality engineering workflow.
Demo - Using AI Agents to Identify Test Cases3:55
Demonstrate defining test cases from acceptance criteria using AI agents, post test cases to Jira, and design tests with industry practices and automation.
AI Agents will perform acceptance test and log steps4:02
Demonstrates creating an acceptance test from a user story by automating flight booking with browser use, logging steps and data on blaze demo.com, and validating test cases.
Demo - Copilot Playwright Script Generation4:03
AI Agents Automatic Peer Review - PR Close Review5:33

Introduction to the Modules of AI3:45
Natural Language Processing - NLP4:56
Types of Machine Learning4:03
Importance of Training Data4:09
What is a token in LLMs2:38
Introduction and demo on Retrieval Augment Generation - RAG10:14
Fine tunning of AI and how it impacts performance7:40
Fine-tune AI models by data-driven training, prompt-based customization, and guardrails to improve task-specific performance, such as coding, while controlling output with temperature, top-k, and top-p.
What is Agentic AI5:22
Architecture of Agentic AI5:53

Open AI Codex - Understand what is Codex - 01 Agent3:41
Open AI Codex - Configure Codex for your environment7:11
Configure OpenAI Codex by linking your GitHub repository, enabling multifactor authentication, and setting up an environment with dependencies, environment variables, and internet access.
Open AI Codex - Configure the Agents.md File5:50
Open AI Codex - Create a powerful Agent.md file - fix the previous one7:00
Open AI Codex - Use Codex to generate invalid test data6:51
Open AI Codex - Generate Test that use invalid test data to simulate failure7:59
Showcases using an agent and Open AI Codex to generate negative tests with invalid and empty data, confirming failures without executing tests, and guiding master branch workflows.

Agentic AI - Browser -Use - What is it8:49
Agentic AI - Browser -Use - How to install4:49
Agentic AI - Browser -Use - Resolve Browser Errors3:21
Agentic AI - Browser -Use - First Run of Browser Agent3:58
Configures and runs a browser agent to compare ChatGPT pricing with deep seq v3, using a Python model and Chrome driver with environment variables.
Agentic AI - Browser -Use - Generate Tests based on Application7:11
Agentic AI - Browser -Use - Automation Example for POM in Selenium Java5:06

What is Microsoft Autogen - Agentic Creation Framework3:22
Discover Microsoft Autogen, an open-source multi-agent framework with a drag-and-drop studio for orchestrating agent conversations in dotnet or Python, focusing on Autogen 0.2.
Installing Microsoft Autogen4:50
Autogen - How to define an agent -Chatbot5:53
Autogen - Create 2 agents that talk to each other5:46
Autogen enables two agents to converse and critique a Python function for square roots, iterating back-and-forth debates to converge on a robust solution with unit tests and caching.
Autogen - Adding success criteria - End Conversation3:58
Autogen - creating an agent that recursively enhances test cases10:21
Explore autogen workflows that empower two agents to iteratively craft and critique user story-based test cases, guided by acceptance criteria and prompts that push final definitions to Jira-ready outputs.

Agent flows0:02
What is Flowise AI - Drag and Drop AI Orchestration tool3:44
Agentic AI | AI Agents - Installing Flowise AI Locally5:05
Install flow wise locally by following official docs, ensure node.js and npm are installed, and use GitHub readme for commands; run on localhost:3000 and manage versions with npm updates.
Agentic AI | AI Agents - Prompt Chaining9:42
Build an ai agent using prompt chaining with a supervisor orchestrating worker nodes and a chat model, connected via an OpenAI api key to generate story prompts and titles.
Agentic AI | AI Agents - Interact with files6:58
Agentic AI | AI Agents - Generate Automated Tests from Webpage12:23
Generate automated web tests from a webpage using ai agents, fire crawl, a crawler, and retrieval augmented generation to create executable playwright scripts.

Install Playwright and Demo Test5:16
Deciding what is most important for Testing4:53
Debug manually code6:43
Completing the Test and generating first Draft Code with Mini o1 Model5:54
Configuration File and more Options5:28
Headless Execution and screenshot only on error3:53
Run Tests on multiple Browsers3:08
Playwright Workers: Executing Tests in Parallel2:36
AI Agent Playwright - ZEROSTEP What is it?6:03
AI Testing Agents - Installation and Usage of ZeroStep4:48
AI Testing Agents -Example How to Use the ZeroStep for Playwright6:08

Requirements

Basic understanding of AI and Gen AI
A Windows 10 or 11 PC
Desire to learn the hottest new skill out there
A Chat GPT API key and some 5$ Credits

Description

Step into the future of software testing with AI-driven automation. This course is meticulously crafted for both newcomers and experienced professionals seeking to harness the power of AI Agents in test automation. Whether you’re exploring Agentic AI for the first time or looking to refine your expertise, this course delivers deep insights into state-of-the-art tools, frameworks, and methodologies shaping the industry.

Thought by one of the best Teachers out there with over 12 courses and 25.000 Students . Money back guarantee in case you do not find it useful.

What You’ll Gain:

1. Foundations of AI & Agentic AI – Grasp the fundamental principles of AI and its evolution into intelligent agents.
2. AI Agent Architecture – Deconstruct the anatomy of AI Agents, understanding their core components and functionality.
3. Essential Tools & Frameworks – Get hands-on with Microsoft AutoGen, Flowise AI, LangChain, and Python, mastering the ecosystems driving Agentic AI.
4. AI-Driven Test Automation – Discover how AI-powered agents revolutionize software testing, enhancing speed, accuracy, and scalability.
5. Building Intelligent Automation Frameworks – Leverage Playwright and ZeroSTEP to design next-generation testing infrastructures.
6. Context-Aware Testing Strategies – Implement advanced techniques such as memory tokens and contextual awareness to optimize AI-driven validation.
7. AI-Powered Browser Automation – Master sophisticated AI operators for seamless, intelligent browser automation.
8. Self-Learning AI Agents – Develop adaptive AI agents capable of self-improvement, continuous evaluation, and autonomous decision-making.
9. Seamless Test Migration Across Tech Stacks – Learn best practices for transitioning automated tests across diverse technologies without disruption.

10. See Playwright agent mode with MCP and Github Copilot in VS Code

11. Use Open AI Codex - AI Agentic Coding together with Playwright for increased speed

12. 80 percent of the material is laboratories and practice to make sure that you get the most of out this material

This learning experience will equip you with the expertise to integrate AI-driven intelligence into software testing, elevating efficiency, precision, and scalability.

Who this course is for:

Production Owners
Software Testers
Chief of AI
Quality Assurance Engineers
Devops Engineers
Citizen Developer

Software Testing with AI Agents | Agentic AI Testing

What you'll learn

Explore related topics

Course content

Introduction4 lectures • 37min

Demo on Software Testing agents in the SDLC5 lectures • 22min

Environment Preparation7 lectures • 13min

Introduction to basics of AI, Agentic AI and parameter tunning9 lectures • 49min

Open AI Codex - AI Coding Agent for Testing6 lectures • 39min

Agentic AI - Browser -Use - Browser best automation6 lectures • 33min

Microsoft AutoGen - Collaborating Agents6 lectures • 34min

Playwright MCP Server with Github Copilot and VS Code4 lectures • 13min

Flowise AI - Test Case Generator Tool6 lectures • 38min

Zero Shot - Playwright AI Agent for AI Automation11 lectures • 55min

Requirements

Description

Who this course is for: