Build smarter API automation with Postman, DevTools, curl, HAR, and AI-driven pipelines. Learn modern testing and CI/CD.
β±οΈ Length: 2.6 total hours
β 4.62/5 rating
π₯ 1,311 students
π November 2025 update
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- Course Overview
- Comprehensive API Strategy: This program introduces a paradigm shift in how engineers approach API reliability by blending traditional testing frameworks with the predictive and generative capabilities of modern Artificial Intelligence. It moves far beyond basic request-response validation to explore the full lifecycle of an API within a professional, high-velocity software development environment.
- The Intersection of AI and QA: Students will explore how Large Language Models can be leveraged to interpret complex API documentation, generate edge-case test scenarios, and write boilerplate validation scripts in seconds. This course bridges the gap between manual debugging using browser tools and fully automated, hands-off execution.
- Modern Testing Ecosystem: The curriculum is built around the modern “Shift-Left” philosophy, emphasizing that testing should occur as early as possible in the development cycle. By integrating Postman and Newman into CI/CD pipelines, the course ensures that every code change is automatically verified against established API contracts.
- Data-Driven Optimization: Rather than writing static tests, the course focuses on using HAR (HTTP Archive) files and DevTools logs to understand real-world traffic patterns. This data is then fed into AI engines to create robust, resilient test suites that reflect actual user behavior and potential failure points.
- Continuous Integration Mastery: The primary focus is on moving away from local execution to automated cloud environments. You will learn the mechanics of how a commit triggers a containerized test run, ensuring that broken code never reaches production, thus maintaining a high standard of service-level agreements.
- Requirements / Prerequisites
- Foundational Technical Literacy: Prospective students should possess a fundamental understanding of what an API is and the basic structure of HTTP requests, including headers, bodies, and common status codes like 200, 404, and 500.
- Basic Programming Concepts: While deep coding expertise is not required, familiarity with JavaScript basics is highly beneficial since Postman utilizes JavaScript for its pre-request scripts and test assertions.
- Operating System Readiness: You should have a computer (Windows, macOS, or Linux) with administrative privileges to install essential software such as Postman Desktop, Node.js, and command-line interfaces.
- Account Access: A willingness to create free accounts for essential platforms, including GitHub for version control and various AI-driven development tools that will assist in script generation throughout the modules.
- Analytical Mindset: A desire to automate repetitive tasks and a curiosity for how modern DevOps pipelines operate is essential to getting the most value out of the highly technical pipeline sections.
- Skills Covered / Tools Used
- Postman for Advanced Automation: Mastery of environment variables, collection runners, and script-based assertions to create dynamic and reusable testing suites that can adapt to different staging environments.
- Newman Command-Line Runner: Learning to execute Postman collections through the CLI, which is the foundational step for integrating API tests into any external automation server or deployment script.
- Chrome DevTools and HAR Analysis: Gaining the ability to intercept network traffic, export communication logs as HAR files, and transform those logs into structured API tests using AI-assisted conversion techniques.
- cURL Mastery: Understanding how to translate complex browser interactions into cURL commands for quick debugging, documentation, and lightweight scripting in terminal environments.
- AI-Powered Test Generation: Utilizing specific AI prompting techniques to generate complex JSON schema validations, dynamic data generation scripts, and troubleshooting suggestions for failing test cases.
- CI/CD Pipeline Integration: Practical application of GitHub Actions or similar tools to orchestrate the automated execution of test suites whenever new code is pushed to a repository.
- Benefits / Outcomes
- Drastic Reduction in Manual Effort: By implementing the AI-driven workflows taught here, you can reduce the time spent writing manual test assertions by up to 70%, allowing you to focus on high-level architectural concerns and system design.
- Enhanced Deployment Confidence: Implementing automated CI/CD checkpoints ensures that your team can deploy updates multiple times a day with the assurance that core API functionalities remain intact and bug-free.
- Improved Debugging Speed: Learn to use AI to interpret cryptic error messages and suggest immediate fixes, significantly lowering the Mean Time to Recovery (MTTR) when an API endpoint begins to fail in a staging or production environment.
- Industry-Aligned Skillset: Mastering the combination of Postman, AI, and DevOps pipelines positions you as a high-value asset in the job market, as companies increasingly look for “Full-Stack” QA and DevOps engineers.
- Standardization of Testing Procedures: Learn how to create a unified testing framework that can be shared across multiple teams, ensuring consistency in how APIs are documented, validated, and monitored across the entire organization.
- Future-Proofing Your Career: By integrating AI into your daily workflow now, you stay ahead of the curve in an industry that is rapidly moving toward autonomous testing and AI-assisted software development lifecycles.
- PROS
- High Efficiency: The course is highly condensed at 2.6 hours, respecting your time by cutting out filler and focusing strictly on actionable, high-impact automation techniques.
- Up-to-Date Content: With a November 2025 update, the methodologies reflect the latest versions of Postman and the current state of AI technology, ensuring no obsolete workflows are taught.
- Holistic Toolchain: Unlike courses that only focus on one tool, this provides a comprehensive look at how multiple technologies (DevTools, Curl, AI, Postman) work together in a real-world ecosystem.
- Practical and Project-Based: Each module is designed around practical implementation, meaning you finish the course with a working pipeline rather than just theoretical knowledge.
- CONS
- Rapid Pace: Due to the concise nature of the modules, absolute beginners to the concept of APIs may find themselves needing to pause and conduct external research on fundamental networking concepts to keep up with the advanced pipeline configurations.
Learning Tracks: English,IT & Software,Other IT & Software
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