API Automation with CI CD Pipelines, Powered by AI

Learn DevTools fundamentals and see how browsers communicate with servers through hidden API calls.

In this lesson, you’ll trace real network requests, inspect data behind the scenes, and build the foundation for powerful API testing and browser automation.

Discover how every click in the browser triggers real API requests.

In this lesson, you’ll use DevTools to inspect the Network tab, analyze requests and responses, understand headers and status codes, and see exactly how browsers talk to APIs.

Mastering this skill is the foundation for modern API testing, debugging, and automation.

Learn how to inspect and understand real API responses using DevTools.

In this lesson, you’ll explore the Response and Preview tabs, decode JSON data, and see how browsers transform raw API output into visible content on the page.

By mastering this, you’ll build the skill to debug, validate, and verify APIs directly from the browser.

Discover how to move from observing API calls in DevTools to actually sending them yourself.
In this lesson, you’ll learn how to use Postman to test endpoints, send custom requests, and analyze responses — all without clicking through the UI.
This hands-on intro transforms theory into action and lays the foundation for real API testing skills.

Learn how to set up Postman from scratch and prepare your workspace for real API testing.

In this lesson, you’ll download and install Postman, create a free account, and get familiar with the main interface collections, requests, and responses.

By the end, you’ll have everything ready to start sending your first API call.

Learn how to create your first API request and organize it inside a Postman collection.

In this lesson, you’ll use the Dog API to send a GET request, inspect responses, and understand how collections keep your tests and variables structured.

This is your first real step into hands-on API testing with Postman.

Learn how to use Postman environments to make your API requests dynamic and reusable.

In this lesson, you’ll create variables for base URLs, switch between dev and production setups, and understand how Postman injects values automatically at runtime.

This is where your workflow becomes scalable - one request, multiple environments, zero duplication.

Learn how to create Postman tests faster using built-in snippets.

In this lesson, you’ll explore ready-made code blocks for common assertions like status checks and JSON validation  all powered by the pm object.

This approach saves time, reduces errors, and makes your API testing workflow cleaner and more efficient.

Learn how to build stronger and faster tests using Postman snippets.

In this lesson, you’ll generate common checks with one click, edit them for clarity, and apply best practices like naming conventions and realistic performance thresholds.

This is how you move from basic checks to clean, stable, and maintainable automation.

Discover how Postman’s built-in AI assistant, Postbot, can write, explain, and improve your tests automatically.

In this lesson, you’ll learn how to describe what you want in plain English — and let Postbot generate the full JavaScript test for you.

It’s faster, smarter, and helps you focus on logic instead of syntax.

Learn how to use GPT to extend your Postman test coverage automatically.

In this lesson, you’ll write smart prompts that generate new tests in seconds, from JSON validation to URL checks and consistency rules.

Discover how AI can boost your creativity, save time, and make your API automation smarter than ever.

Learn why curl is a simple, universal tool for sending precise API requests from the command line.

In this lesson, you’ll run basic calls, refine them step by step, and import curl commands into Postman for a visual workflow.

You’ll also see how AI can turn curl outputs into tests and insights you can use in daily automation.

Learn how to capture real API requests with DevTools, clean them up in curl, and import them directly into Postman for faster, cleaner testing.

Capture a real NASA API request, convert it to curl, import to Postman, and use AI to clean, explain, and visualize it clearly — step by step.

Learn how to secure your API keys in Postman and curl using environment variables, avoid exposure, and keep your tests safe and reusable.

Learn how to use AI and Postman together to transform raw JSON into clean tables, upgrade code snippets, and explain API data in plain, human language.

Learn how to capture, analyze, and explain HAR files using AI. Find API calls, detect slow requests, and turn raw data into clear insights for QA and automation.

Learn how to analyze real HAR files step by step using ChatGPT. Filter noise, extract key insights, and turn raw network logs into clear, structured QA reports in minutes.

Learn how to detect and remove API keys, emails, and secrets from HAR files. Use a local Python sanitizer to clean data safely before sharing or analyzing with AI tools.

See how CI/CD turns every change into automated builds, tests, and deployments. Discover how QA engineers can catch bugs early and use AI to generate and optimize pipelines for real-world projects.

Learn how to export your Postman collection and use AI to generate a ready-to-run YAML workflow.

Prepare your project for continuous integration with a clean, automated flow that connects testing to deployment seamlessly.

Connect Postman to GitHub and run your tests directly in the cloud.

Learn how to upload your collection, configure GitHub Actions, and turn local tests into a fully automated cloud pipeline.

See your first CI pipeline in action.

Watch GitHub Actions automatically execute Postman tests, validate each new commit, and generate live reports,  no manual clicks required.

Add real Postman tests, environment files, and GitHub Secrets to make your CI actually check, not just run.

Debug failing pipelines using GPT and professional workflows with AI-powered logs and validations.

Use AI to enhance your GitHub Actions YAML safely, inject environment variables, and pass secrets like NASA_API_KEY.

Re-run workflows, debug real API issues, and build a clean, production-ready pipeline.

Learn how to fix common CI issues and secure your pipeline with GitHub Secrets and environment files.

Use AI to validate YAML, reveal real errors, and bring your failing tests back to green.

This is where everything connects — code, tests, and cloud working as one.
You’ll see a complete E2E CI/CD pipeline that builds, runs, and deploys automatically with every commit.

No scripts, no clicks — just pure, living automation.
From failed APIs to flawless runs, this is what real engineering flow looks like: modular, adaptive, and unstoppable.

This is where the journey ends, and a new one begins.
You’ve turned chaos into clarity, built something real, and learned how automation can bring calm, not just code.
Take this moment to celebrate your progress and the freedom you’ve earned.