VS Code Mastery: Local Development, Git & AI-Powered Productivity
Learn Visual Studio Code from setup to advanced workflows, including Git integration, extensions, debugging, and AI-powered development.
🏷️
VSCode
Editor
Local_Development
Git
GitHub
Version_Control
Python
Debugging
Developer_Tools
AI_Productivity
5.0
(1 ratings)
•
2 students
- ▶️ Recorded Course
- Course Instructor: Md Abdullah Al Mamun
- Category: Vibe Coding
- Sub Category: Tools/IDEs
- Child Category: VS Code
- Last updated: 05/2026
- Language: English
VS Code Mastery: Local Development, Git & AI-Powered Productivity
Vibe Coding
>
Tools/IDEs
>
VS Code
VSCode
Editor
Local_Development
Git
GitHub
Version_Control
Python
Debugging
Developer_Tools
AI_Productivity
Learn Visual Studio Code from setup to advanced workflows, including Git integration, extensions, debugging, and AI-powered development.
Course Requirements
- 💻 Basic Computer Knowledge: Familiarity with using a computer, installing software, and browsing the internet.
- 🧠 Basic Programming Understanding (Optional but Helpful): Knowledge of any programming language (like C, Java, or JavaScript) will be beneficial.
- ⚙️ Laptop / PC Configuration: Minimum 8GB RAM (recommended), SSD storage, and a modern processor for smooth development.
- 🌐 Internet Connection: Stable internet connection for downloading tools, dependencies, and accessing resources.
- 🧑💻 Software Installation: Ability to install tools like Flutter SDK, Android Studio, or VS Code.
- 📱 Android Device (Optional): A physical Android phone for real-device testing (emulator can also be used).
- 🧩 Google Account: Required for accessing Google services and publishing apps on Play Store.
- 🔥 Willingness to Learn & Practice: Dedication to coding, debugging, and building real-world projects.
Course Details
This course is designed to help you master Visual Studio Code (VS Code) as your primary local development environment. Whether you're a beginner or an aspiring developer, this course walks you through everything you need to build an efficient and modern development workflow.
You’ll start with installing VS Code and understanding its interface, layout, and powerful built-in features. Then, you’ll dive into mastering navigation tools like Explorer, Search, and the Command Palette to boost your productivity.
Next, you’ll explore the rich extension ecosystem of VS Code—learning how to discover, install, and configure extensions tailored for development, especially for Python and other modern workflows.
You’ll then build a complete development pipeline, from writing code to debugging efficiently within VS Code. The course also includes a comprehensive guide to version control using Git and collaboration via GitHub, helping you work like a professional developer.
Finally, you’ll unlock AI-powered productivity by customizing settings, keyboard shortcuts, and leveraging no-code and AI-assisted development tools to accelerate your workflow.
By the end of this course, you will:
- Confidently use VS Code for local development
- Navigate and customize the editor like a pro
- Use extensions to enhance productivity
- Write, run, and debug code efficiently
- Manage version control using Git and GitHub
- Leverage AI tools to improve development speed
This course is perfect for beginners, students, and developers who want to optimize their local development environment using VS Code.
Course content
4 sections • 6 lectures • 00h 50m total length
Chapter
1. Intro about Visual Studio Code
2 lectures
00h 15m
▶
Introduction to Visual Studio Code: Installation, Interface & Features
Video
10m
Learn Visual Studio Code (VS Code) from scratch in this complete beginner-friendly tutorial covering installation, interface overview, extensions, Git integration, themes, terminal usage, and productivity features. This tutorial is perfect for developers, students, and programmers who want to improve their coding workflow using one of the most powerful code editors available today.
▶
Mastering VS Code Navigation: Explorer, Search & Command Palette
Video
5m
Master Visual Studio Code navigation with powerful shortcuts, quick file switching, search tools, multi-cursor editing, and the Command Palette to improve your coding productivity and workflow efficiency. This tutorial covers essential VS Code navigation techniques for beginners and developers who want to work faster and manage projects more effectively.
Chapter
2. VS Code Essentials
2 lectures
00h 23m
▶
Mastering VS Code Extensions: Discover Marketplace to Developer tools setup
Video
15m
This tutorial explores the best VS Code extensions to improve productivity, coding efficiency, debugging, and development workflows for Python, AI/ML, web development, and cloud projects. You’ll learn how to install, configure, manage, and optimize powerful extensions from the VS Code Marketplace while discovering essential tools for Git, GitHub, data science, formatting, and dependency management.
▶
VS Code Essentials: A Complete Python Workflow from Code to Debugging
Video
8m
This tutorial teaches you how to build a complete Python development workflow in Visual Studio Code, including IntelliSense, code formatting, virtual environments, terminal execution, and debugging tools. You will learn how to manage Python projects efficiently using VS Code extensions, breakpoints, variable inspection, and professional coding practices.
Chapter
3. VS Code Git Workflow
1 lecture
00h 05m
▶
Workflow from Git to GitHub: Complete Guide to Version Control & Collaboration
Video
5m
Learn how to use Git and GitHub directly inside Visual Studio Code with this complete beginner-friendly workflow tutorial. In this video, you’ll explore repository initialization, staging, commits, branching, GitHub integration, cloning repositories, and advanced Git insights using GitLens. This tutorial is perfect for programmers, Python developers, and web developers who want to master modern version control and collaboration workflows efficiently.
Chapter
4. AI Power Productivity
1 lecture
00h 07m
▶
AI Power Productivity: Customize Settings-Shortcuts & development by no-coding
Video
7m
In this tutorial, you’ll learn how to boost your productivity in Visual Studio Code using AI-powered coding assistants, keyboard shortcuts, settings synchronization, and prompt-based development workflows. You’ll explore tools like GitHub Copilot, Windsurf (Codeium), and VS Code AI chat features while building a complete Calculator App using AI-generated HTML, CSS, and JavaScript code. This video is perfect for developers who want to improve coding efficiency, automate repetitive tasks, and master AI-assisted software development in VS Code.
What you'll learn?
-
Build cross-platform mobile apps for iOS and Android with Flutter
-
Write clean and efficient Dart code using OOP principles
-
Implement state management with Provider and Riverpod
-
Integrate Firebase for authentication, database, and notifications
-
Publish finished apps to the App Store and Google Play
What will be included in this course?
24/7 Access to Course Materials
Downloadable Resources
Certificate of Completion
Lifetime Access
Mobile & TV Access
Frequently Asked Question
OrbitOCP is an online classroom platform that offers live and recorded courses across various fields like DevOps, Cloud, Cyber Security, and Data Science.
You can enroll by selecting your desired course, clicking the Enroll Now button, and completing the registration and payment process.
OrbitOCP offers both live interactive classes and recorded sessions so you can learn at your own pace.
Yes, most courses provide lifetime access to recorded materials and resources after enrollment.
Yes, you will receive a certificate of completion after successfully finishing the course requirements.
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15th January 2026
Professional software engineer with 12+ years of experience leading end-to-end application development with project delivery. Results-driven Generative AI & Data Science Engineer with 8+ years of experience delivering enterprise-scale software and AI solutions across fintech, telecom, and education domains. Strong expertise in Python, machine learning, GenAI frameworks, and DevSecOps, with hands-on experience in model fine-tuning, NLP pipelines, vector databases, and cloud platforms. Proven leader in building secure, scalable systems, translating data into business insights, and driving end-to-end AI projects from design to deployment.