Ai-Powered Api Automation With Python And Jira Integration
Published 5/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 880.29 MB | Duration: 1h 42m
Published 5/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 880.29 MB | Duration: 1h 42m
Build an AI-Powered API Test Automation Framework with Python, JIRA & AI
What you'll learn
Automate API Test Case Generation Using AI & Langchain
Integrate Python Test Automation Framework with JIRA
Develop and Execute Dynamic API Tests Using Pytest
Generate Rich Test Reports with Pytest-HTML
Automate the Entire Workflow from JIRA to Test Reporting
Requirements
Willingness to Explore AI-Powered Automation
Basic Python Knowledge
basic understanding of what REST APIs
Familiarity with Software Testing Concepts
JIRA Access (or Demo Project)
Description
Welcome to "AI-Powered API Automation with Python and JIRA Integration" — a hands-on course that combines the power of GenAI, Langchain, and Python to fully automate the generation and execution of API test cases.In today’s fast-paced development cycles, writing manual test cases is time-consuming and error-prone. This course introduces a modern solution: using Google Gemini via Langchain to auto-generate structured API test cases from JIRA stories, execute them dynamically with pytest, and produce rich HTML test reports.You’ll start by learning how to connect to JIRA and fetch story details, then see how those details are transformed into executable test cases using AI-powered prompt engineering. You'll also build a powerful pytest-based framework that supports dynamic test execution, custom validation, and professional-grade reporting.Whether you're a QA engineer, SDET, or developer interested in practical AI integration, this course gives you a real-world project framework you can adapt and scale. From CI/CD-ready automation workflows to prompt tuning and error handling, everything is covered.By the end of this course, you’ll have a fully working AI-integrated API testing framework — and the skills to extend it for any API-first project.Skills you will learn:1) JIRA Integration with Python2) GenAI Integration with Pytest and Langchain 3) AI-powered prompt engineering4) Pytest-HTML Reporting
Overview
Section 1: Introduction to the Course
Lecture 1 Welcome to the Course
Lecture 2 Setting Up the Environment
Section 2: Understanding the Workflow
Lecture 3 Overview of JIRA and API Testing
Lecture 4 Workflow Overview
Section 3: Fetching JIRA Story Details
Lecture 5 Setting Up JIRA Integration
Lecture 6 Fetching Story Details
Section 4: Generating Test Cases Using AI
Lecture 7 Introduction to AI-Powered Test Case Generation
Lecture 8 Writing Prompts for Test Case Generation
Lecture 9 Saving Test Cases to CSV
Section 5: Running API Tests
Lecture 10 Writing API Test Scripts
Lecture 11 Parametrizing Tests
Lecture 12 Debugging and Validating API Tests-Part 1
Lecture 13 Debugging and Validating API Tests-Part 2
Section 6: Orchestration ,Generating and Serving Reports
Lecture 14 Orchestration and Report Generation
Section 7: Automating the Workflow
Lecture 15 Running the Entire Workflow
SDET and DevOps Professionals,Quality Engineers and Test Automation Developers,Python Developers Interested in Testing Automation,QA Leads & Test Architects