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+Table of Contents for Workshop Series: From Zero to PLPR Developer
+
+1. Introduction to Programming and Python
+   - What is Programming?
+   - Why Python for AI and Machine Learning?
+   - Setting Up Your Python Environment
+   - Basic Python Syntax and Programming Concepts
+
+2. Understanding the Fundamentals of Computer Science
+   - Data Structures: Lists, Tuples, Dictionaries
+   - Control Flow: If Statements, Loops, Functions
+   - Object-Oriented Programming: Classes and Objects
+
+3. Introduction to Artificial Intelligence and Machine Learning
+   - AI, Machine Learning, and Deep Learning: Definitions and Differences
+   - The Machine Learning Workflow: From Data Collection to Model Evaluation
+   - Understanding Neural Networks and Deep Learning
+
+4. Dive into Deep Learning with PyTorch
+   - Setting Up PyTorch
+   - Basics of Tensors, PyTorch's Core Data Structure
+   - Building and Training Your First Neural Network
+
+5. Exploring Computer Vision and Object Detection
+   - Introduction to Computer Vision
+   - Understanding Object Detection
+   - Introduction to Convolutional Neural Networks (CNNs)
+   - Implementing Object Detection with YOLO (You Only Look Once)
+
+6. Project: Building a Simple Image Recognition Application
+   - Preparing Your Dataset
+   - Training a Model to Recognize Images
+   - Testing and Improving Your Model
+
+7. Developing the Persian License Plate Recognition System (PLPR)
+   - Project Overview and Objectives
+   - System Architecture and Components
+   - Review of Technologies Used: PyTorch, YOLO, PySide6, SQLite
+
+8. Setting Up the Development Environment for PLPR
+   - Required Software and Libraries
+   - Downloading and Installing the PLPR Codebase
+   - Understanding the Code Structure
+
+9. Implementing License Plate Detection
+   - Understanding YOLOv5 for License Plate Detection
+   - Training Custom Models for Persian License Plates
+   - Integrating the Detection Model into the PLPR Application
+
+10. Implementing License Plate Character Recognition
+    - Preprocessing Images for Character Recognition
+    - Training a Model for Persian Character Recognition
+    - Integrating Character Recognition into the PLPR Application
+
+11. Building the Graphical User Interface (GUI) with PySide6
+    - Introduction to GUI Development with PySide6
+    - Designing the Layout for PLPR
+    - Connecting the Backend with the GUI
+
+12. Integrating Database Management
+    - Introduction to SQLite and Database Management
+    - Designing the Database Schema for PLPR
+    - Implementing CRUD Operations in the Application
+
+13. Running, Testing, and Debugging the PLPR Application
+    - Running the PLPR Application
+    - Testing the Application with Different Inputs
+    - Debugging Common Issues
+
+14. Optimizing and Packaging the PLPR Application
+    - Performance Optimization Tips
+    - Packaging and Distributing Your Application
+
+15. From Developer to Open Source Contributor
+    - The Importance of Documentation and Comments
+    - Sharing Your Project on GitHub
+    - Contributing to Open Source Projects
+
+16. Workshop Wrap-Up and Next Steps
+    - Recap of Key Learning Points
+    - Further Learning Resources and Pathways
+    - Encouragement to Start Personal Projects
+
+17. Q&A Session
+    - Open Floor for Questions
+    - Sharing Additional Resources and Communities
+
+Appendices:
+A. Python Cheatsheet
+B. PyTorch Quick Start Guide
+C. Introduction to Git and GitHub