Learn how to build an Android Application completely using Augment Code AI and integrate you in any Big Real Project
Important Note Before You Buy This Course: This is not a course that is just for the purpose of selling it to you for profit. Of course, I made this course and want to sell it to you for profit, but that is not the first reason I made this course! I made this course for myself first. The main purpose of making this course is that it is like a notebook for my programming career path, firstly. In this notebook, I will always take notes of the experiences that I have learned during my study and work. The content of the course will always be updated by me in the way I keep a daily and weekly diary. I also want to share this notebook of mine with you by selling this course. Coming to this course, you will have a notebook recording all the experiences in the learning and working process of a developer in the profession (that’s me – up to now I have more than 10 years working in the programming profession), and moreover, you will have this course will continue to be updated until I am still on this programming career path. Rest assured, I will stick with this programming path for a very long time, because it can be seen that I have been attached to it for more than 10 years, it has become an important part, a hobby, a passion in my life. If you are also curious or interested in this course, I invite you to open this diary of mine. Sincerely, thank you!
Augment Code AI from Zero: Full Feature Tour and Android App Build
What you’ll learn
- Complete Course on Augment Code AI.
- Integrate you into any Big Real Android Project quickly and efficiently by using Augment Code AI.
- Building an Android Application from scratch completely using Augment Code AI.
- Be able to use Augment Code AI for any Android application that you want to build in the future.
Course Content
- Introduction to the course –> 1 lecture • 2min.
- Setting Up the Environment and Getting Started with Augment Code AI –> 2 lectures • 3min.
- Case Study – Augment Code AI with Big Real Project Now in Android –> 11 lectures • 38min.
Requirements
Important Note Before You Buy This Course: This is not a course that is just for the purpose of selling it to you for profit. Of course, I made this course and want to sell it to you for profit, but that is not the first reason I made this course! I made this course for myself first. The main purpose of making this course is that it is like a notebook for my programming career path, firstly. In this notebook, I will always take notes of the experiences that I have learned during my study and work. The content of the course will always be updated by me in the way I keep a daily and weekly diary. I also want to share this notebook of mine with you by selling this course. Coming to this course, you will have a notebook recording all the experiences in the learning and working process of a developer in the profession (that’s me – up to now I have more than 10 years working in the programming profession), and moreover, you will have this course will continue to be updated until I am still on this programming career path. Rest assured, I will stick with this programming path for a very long time, because it can be seen that I have been attached to it for more than 10 years, it has become an important part, a hobby, a passion in my life. If you are also curious or interested in this course, I invite you to open this diary of mine. Sincerely, thank you!
Augment Code AI from Zero: Full Feature Tour and Android App Build
Build faster, ship better, and learn smarter with an end-to-end, hands-on course that takes you from first contact with Augment Code AI to delivering a production-ready Android feature. Designed for both newcomers and experienced developers, this course shows how a modern AI coding assistant can collaborate with you—explaining unfamiliar code, proposing refactors, generating tests, and even planning multi-file changes.
You’ll start by setting up Augment Code in your preferred IDE (Android Studio/IntelliJ, VS Code, or Vim/Neovim). From there, you’ll master the platform’s core capabilities: intelligent code completion, chat-based code understanding, semantic search and navigation across large repos, automated refactoring, and agent-driven task execution (from creating files to opening pull requests). You’ll also learn how to tailor the assistant to your project with Memories, Rules, and extended context (e.g., docs, schemas, design assets) so suggestions align with your architecture and standards.
The second half of the course is fully practical. We’ll integrate Augment Code into an Android project and use it to: scaffold UI with Jetpack Compose, navigate complex module layouts, diagnose crashes from stack traces, spot performance smells, generate unit tests, and automate repetitive edits. The capstone is a guided case study using Google’s open-source Now in Android app, where you’ll add a real feature, review the AI’s changes, and iterate to production quality.
By the end, you will be able to:
- Install, configure, and confidently use Augment Code across popular IDEs.
- Query and understand large codebases in minutes, not days.
- Apply agent workflows to plan, implement, and review multi-file changes.
- Accelerate Android development with Compose, ViewModels, DataStore, and Navigation.
- Improve code quality via AI-assisted refactors, tests, and documentation.
- Integrate external context (designs, specs, API docs) for higher-fidelity suggestions.
Who this course is for
- Beginners who want a guided “pair programmer” to explain code and generate boilerplate.
- Working developers who want to boost velocity, reduce defects, and standardise code at the team scale.
Format & Prerequisites
- Hands-on demos, live coding, and guided labs; Android Studio recommended.
- Basic Kotlin/Java familiarity helpful, but not required—AI support keeps the learning curve friendly.
Outcome
Walk away with a clear, repeatable workflow for pairing with Augment Code AI—plus a functioning Android feature you built with an AI agent as your round-the-clock collaborator.
This course is assisted by Artificial Intelligence (AI) tools.