Added documentation

.github/workflows/deploy-docs.yml

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+name: Deploy Docusaurus documentation to GH Pages
+
+on:
+  # Runs on pushes targeting the default branch
+  push:
+    branches: ["main"]
+    paths:
+      - 'docs/**'  # Only trigger when docs directory changes
+  pull_request:
+    branches: ["main"]
+    paths:
+      - 'docs/**'  # Only trigger when docs directory changes
+
+  # Allows you to run this workflow manually from the Actions tab
+  workflow_dispatch:
+
+# Sets permissions of the GITHUB_TOKEN to allow deployment to GitHub Pages
+permissions:
+  contents: read
+  pages: write
+  id-token: write
+
+# Allow only one concurrent deployment, skipping runs queued between the run in-progress and latest queued.
+# However, do NOT cancel in-progress runs as we want to allow these production deployments to complete.
+concurrency:
+  group: "pages"
+  cancel-in-progress: false
+
+jobs:
+  # Build job
+  build:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+      - name: Setup Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: '18'
+          cache: 'npm'
+          cache-dependency-path: 'docs/package-lock.json'
+      - name: Install dependencies
+        working-directory: docs
+        run: npm ci
+      - name: Build site
+        working-directory: docs
+        run: npm run build
+      - name: Upload artifact
+        uses: actions/upload-pages-artifact@v3
+        with: 
+          path: docs/build
+
+  # Deployment job for main branch
+  deploy-main:
+    environment:
+      name: github-pages
+      url: ${{ steps.deployment.outputs.page_url }}
+    runs-on: ubuntu-latest
+    needs: build
+    if: github.ref == 'refs/heads/main'  # Only deploy on main branch
+    steps:
+      - name: Deploy to GitHub Pages
+        id: deployment
+        uses: actions/deploy-pages@v4
+
+  # Deployment job for PR branches (will deploy to a PR-specific subdomain)
+  deploy-preview:
+    runs-on: ubuntu-latest
+    needs: build
+    if: github.event_name == 'pull_request'  # Only deploy on PR
+    environment:
+      name: preview-${{ github.event.pull_request.number }}
+      url: ${{ steps.deployment.outputs.page_url }}
+    steps:
+      - name: Deploy PR Preview
+        id: deployment
+        uses: actions/deploy-pages@v4
+        with:
+          preview: true
+          deploy_key: ${{ secrets.ACTIONS_DEPLOY_KEY }} 

docs/cleanup.js

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+const fs = require('fs');
+const path = require('path');
+
+const directoriesToRemove = [
+  './docs/local-setup',
+  './docs/playwright-web',
+  './docs/playwright-api',
+  './docs/testing-videos',
+];
+
+// Function to delete a directory recursively
+function deleteFolderRecursive(directoryPath) {
+  if (fs.existsSync(directoryPath)) {
+    fs.readdirSync(directoryPath).forEach((file) => {
+      const curPath = path.join(directoryPath, file);
+      if (fs.lstatSync(curPath).isDirectory()) {
+        deleteFolderRecursive(curPath);
+      } else {
+        fs.unlinkSync(curPath);
+      }
+    });
+    fs.rmdirSync(directoryPath);
+    console.log(`Removed directory: ${directoryPath}`);
+  }
+}
+
+// Delete each directory
+directoriesToRemove.forEach((directory) => {
+  try {
+    deleteFolderRecursive(directory);
+  } catch (error) {
+    console.error(`Error deleting ${directory}:`, error);
+  }
+});
+
+console.log('Cleanup completed!'); 

docs/docs/ai-courses/AIAgents.mdx

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+---
+sidebar_position: 3
+---
+
+import YouTubeVideoEmbed from '@site/src/components/HomepageFeatures/YouTubeVideoEmbed';
+
+# 🧠🤖 Build & Test AI Agents, ChatBots, and RAG with Ollama & Local LLM
+
+<div align="center">
+  <YouTubeVideoEmbed videoId="qw-X4WUHs5s" />
+</div>
+
+---
+
+:::info 💡 **Note**  
+All the courses are available on **Udemy**, and they almost always have a **`coupon code`** available.  
+For discounts, please feel free to reach out at **[karthik@techgeek.co.in](mailto:karthik@techgeek.co.in)**.
+
+🎯 **Course Link:**  
+[Build & Test AI Agents, ChatBots, and RAG with Ollama & Local LLM](https://www.udemy.com/course/build-ai-agent-chatbot-rag-langchain-local-llm/)
+:::
+
+---
+
+## 📚 **Course Description**
+
+This course is designed for complete beginners—even if you have **zero knowledge of LangChain**, you’ll learn step-by-step how to build **LLM-based applications** using **local Large Language Models (LLMs)**.
+
+We’ll go beyond development and dive into **evaluating and testing AI agents**, **RAG applications**, and **chatbots** using **RAGAs** to ensure they deliver **accurate** and **reliable results**, following key industry metrics for **AI performance**.
+
+---
+
+### 🚀 **What You’ll Learn**
+
+- **🧠 Fundamentals of LangChain & LangSmith**  
+  Get a solid foundation in building and testing **LLM-based applications**.
+
+- **💬 Chat Message History in LangChain**  
+  Learn how to store conversation data for **chatbots** and **AI agents**.
+
+- **⚙️ Running Parallel & Multiple Chains**  
+  Master advanced techniques like **RunnableParallels** to optimize your **LLM workflows**.
+
+- **🤖 Building Chatbots with LangChain & Streamlit**  
+  Create chatbots with **message history** and an interactive **UI**.
+
+- **🛠️ Tools & Tool Chains in LLMs**  
+  Understand the power of **Tooling**, **Custom Tools**, and how to build **Tool Chains** for **AI applications**.
+
+- **🧑‍💻 Creating AI Agents with LangChain**  
+  Implement **AI agents** that can interact dynamically with **RAG applications**.
+
+- **📚 Implementing RAG with Vector Stores & Local Embeddings**  
+  Develop robust **RAG solutions** with local **LLM embeddings**.
+
+- **🔧 Using AI Agents & RAG with Tooling**  
+  Learn how to integrate **Tooling** effectively while building **LLM Apps**.
+
+- **🚦 Optimizing & Debugging AI Applications with LangSmith**  
+  Enhance your **AI models** and **applications** with **LangSmith's debugging** and **optimization tools**.
+
+- **🧪 Evaluating & Testing LLM Applications with RAGAs**  
+  Apply **hands-on testing strategies** to validate **RAG** and **AI agent** performance.
+
+- **📊 Real-world Projects & Assessments**  
+  Gain practical experience with **RAGAs** and learn to assess the quality and reliability of **AI solutions**.
+
+---
+
+## 🎯 **Learning Experience**
+
+This entire course is taught inside a **Jupyter Notebook** with **Visual Studio**, offering an **interactive**, **guided experience** where you can **run the code seamlessly** and **follow along effortlessly**.
+
+By the end of this course, you’ll have the **confidence** to **build**, **test**, and **optimize AI-powered applications** with ease!

docs/docs/ai-courses/GenAICourse.mdx

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+---
+sidebar_position: 1
+---
+
+import YouTubeVideoEmbed from '@site/src/components/HomepageFeatures/YouTubeVideoEmbed';
+
+# 🤖 Using Generative AI in Software Automation Testing
+
+<div align="center">
+  <YouTubeVideoEmbed videoId="Y7xkCWvUKEk" />
+</div>
+---
+
+:::info 💡 **Note**
+All the courses are available on Udemy, and they almost always have a `coupon code` available.  
+For discounts, please feel free to reach out at **[karthik@techgeek.co.in](mailto:karthik@techgeek.co.in)**.
+
+🎯 **Course Link:**  
+[Generative AI in Software Automation Testing](https://www.udemy.com/course/generative-ai-in-software-automation-testing/)
+:::
+
+---
+
+## 📚 **Course Description**
+
+This course is crafted for everyone, whether you're new to Software Testing or an experienced professional. Unlock the full potential of **Generative AI** and transform your testing process into something **faster**, **smarter**, and **more efficient**.
+
+### 🚀 **What You’ll Master**
+
+- **🧠 Introduction to Generative AI:**  
+  Understand the foundations of Gen AI and its role in Software Testing.
+
+- **💻 Running Large Language Models (LLMs) Locally:**  
+  Learn how to run models on your machine without paying for external services.
+
+- **📝 Manual Testing with Gen AI:**  
+  Generate manual test cases, test data, and test requirements using grounded Models with the power of AI and RAG.
+
+- **🤖 Automated UI Testing:**  
+  Leverage AI to write, refactor, and optimize automated tests for UI applications.
+
+- **🎭 Playwright UI Testing:**  
+  Use Playwright and AI-driven tools to create smart test scripts and handle complex workflows.
+
+- **🚫 No-code Automation with TestRigor:**  
+  Create powerful automation suites in plain English, even automating SMS, phone calls, and intricate tables.
+
+- **🔗 API Testing:**  
+  Harness PostBots and Gen AI to streamline API testing.
+
+- **🧬 Using Gen AI APIs:**  
+  Add intelligence to your Test Automation code using OpenAI APIs.
+
+- **📍 Model Context Protocol (MCP):**  
+  Run Playwright tests for UI and APIs by leveraging the power of MCP.
+
+---
+
+By the end of this course, you'll have a deep understanding of how **Generative AI** can supercharge your testing process. With hands-on experience, you'll be able to use **AI-enhanced tools** and **LLMs** to simplify complex testing tasks, making your work smoother and more efficient.
+
+

docs/docs/ai-courses/MachineLearning.mdx

@@ -0,0 +1,62 @@
+---
+sidebar_position: 2
+---
+
+import YouTubeVideoEmbed from '@site/src/components/HomepageFeatures/YouTubeVideoEmbed';
+
+# 🧠 Understand, Test, and Fine-tune AI Models with Hugging Face
+
+<div align="center">
+  <YouTubeVideoEmbed videoId="T6-sL0TfAsM" />
+</div>
+
+---
+
+:::info 💡 **Note**  
+All the courses are available on **Udemy**, and they almost always have a **`coupon code`** available.  
+For discounts, please feel free to reach out at **[karthik@techgeek.co.in](mailto:karthik@techgeek.co.in)**.
+
+🎯 **Course Link:**  
+[Understand, Test, and Fine-tune AI Models with Hugging Face](https://www.udemy.com/course/ai-with-huggingface/)
+:::
+
+---
+
+## 📚 **Course Description**
+
+This course provides a complete journey into **Understanding, Testing, and Fine-tuning AI Models** using the **Hugging Face** library. Whether you are a beginner or an experienced engineer, this course equips you with **hands-on expertise** in every step of the **machine learning pipeline**, from **basic concepts** to **advanced model testing**, **fine-tuning**, and **deployment**.
+
+---
+
+### 🚀 **What You’ll Learn**
+
+1. **📈 Introduction to Machine Learning:**  
+   Lay a strong foundation by exploring key ML concepts and essential terminology.
+
+2. **📊 Working with Natural Language Processing (NLP) Libraries:**  
+   Learn how to process, analyze, and derive insights from textual data using popular NLP tools.
+
+3. **💡 Deep Dive into the Transformers Library:**  
+   Master Hugging Face’s Transformers, the industry standard for building state-of-the-art **NLP** and **LLM** solutions.
+
+4. **🧠 Working with Large Language Models (LLMs):**  
+   Explore multiple methods to interact with and utilize **LLMs** for diverse real-world applications.
+
+5. **🧪 Functional Testing of AI Models:**  
+   Ensure your models perform reliably across different scenarios using systematic testing strategies.
+
+6. **⚖️ Bias and Fairness Testing:**  
+   Implement techniques to detect and mitigate unintended bias, promoting ethical and fair **AI practices**.
+
+7. **📏 Evaluating AI Models:**  
+   Measure performance with robust metrics and refine your models for optimal results.
+
+8. **🤖 Working with AI Agents:**  
+   Build, configure, and integrate **intelligent agents** into your workflows.
+
+9. **🔬 Fine-tuning and Training AI Models:**  
+   Customize pre-trained models or create your own from scratch to meet specific project requirements.
+
+---
+
+By the end of this course, you’ll gain the **knowledge** and **practical experience** needed to confidently **develop**, **test**, and **optimize** your own **Transformer-based models** and **LLMs**, empowering you to thrive in the rapidly evolving world of **AI**.

docs/docs/ai-courses/_category_.json

@@ -0,0 +1,9 @@
+{
+  "label": "AI Courses to Learn",
+  "position": 6,
+  "collapsed": false,
+  "link": {
+    "type": "generated-index",
+    "description": "AI Courses which helps you learn more on Using it for Testing and Development"
+  }
+}