Description

Course Overview

The Advanced Integrated Prompt Engineering and Application Design course is meticulously crafted to provide an in-depth understanding of programming, GUI frameworks, AI-powered tools, and software development techniques. Through practical implementation and advanced projects, participants will emerge with a comprehensive skill set to tackle modern technological challenges.

Course Curriculum

1. Python Fundamentals for Adaptive Development

• Variables, Data Structures, and Operators in Advanced Contexts
• Control Mechanisms: Iterative and Conditional Logic
• Modular Programming: Functions, Libraries, and Reusability

2.  Graphical User Interface (GUI) Architecture

• Advanced GUI Frameworks (Kivy, Tkinter) and Their Applications
• Interface Design Principles and Usability Engineering
• Dynamic Event Handling and Reactive User Interactions

3.  Leveraging Artificial Intelligence in Development

• Strategic Overview of AI Tools in Software Development
• Use Cases: Enhancing Efficiency through Automation
• Practical Implementation of AI-assisted Code Generation

4.  Capstone Project: Functional Digital Calculator

• Advanced UI Structuring with HTML & CSS
• Integrating Logic for Dynamic Functionality
• User-Centric Styling and Accessibility Enhancements

5. Data Optimization and Management Techniques

• File Handling and Structuring in Python for Scalability
• Database Operations: Fundamentals to Advanced Queries
• External Data Integration and Workflow Automation

6.  Excel Automation and AI-driven Data Processing

• Advanced Conditional Formatting and Data Transformation
• Streamlining Complex Processes through AI-assisted Macros

7.  End-to-End Software Tool Development

• Day 1: High-efficiency Multi PDF Creator
• Day 2: Scalable Mass Printing Tool
• Day 3: Structured Folder Management System
• Day 4: Dynamic Task Automation Framework
• Day 5: Document Conversion Suite (Word-to-PDF)
• Day 6: Comprehensive Data Management Toolkit
• Day 7: Mobile Application Development (Version 1)
• Day 8: Mobile Application Development (Version 2)

Learning Outcomes

Participants will master:

• Advanced Python programming and GUI design
• Effective utilization of AI tools for development and task
• Designing robust software solutions tailored to real-world
• Tackling complex data handling and automation
• Building scalable applications, including mobile

Who Should Enroll?

• Aspiring professionals in programming and software
• Developers seeking to integrate AI into their
• Enthusiasts aiming to advance in practical software project

Course Duration

• Total: 10 Days

2 Days of Intensive Theory

• 8 Days of Experiential Project Work Pre-requisites
• Foundational computer
• An eagerness to delve into advanced