Coding Go Projects for Non-Go Engineers (With AI Assistant)
Coding Go Projects for Non-Go Engineers (With AI Assistant)
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 11h 19m | 4.37 GB
Instructor: Timotius Pamungkas
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 11h 19m | 4.37 GB
Instructor: Timotius Pamungkas
Write multiple Go projects to learn Go in-depth, including concurrency, PostgreSQL database, REST API, and gRPC.
What you'll learn
- Learn the Go Programming language leveraging your experience as a software engineer.
- Learn the Go language from the ground up, from Hello World to gRPC.
- Build multiple projects. Each project contains specific topics of Go.
- Write table-based unit test for Go.
- Processing variable, array, data structure (map, slice), JSON processing, generic, decimal numbers, error handling.
- Object-oriented programming in Go.
- Using Go HTTP client.
- Using Go concurrency, including goroutine, channel, wait group, semaphore, and mutex.
- Creating REST API with authentication and PostgreSQL as the data storage.
- Creating gRPC services with authentication.
- Using Go with PostgreSQL database, including how to automatically create PostgreSQL table structures on application startup.
- Leverage AI assistant (optional) to write Go code.
Requirements
Coding experience in a backend programming language (e.g., Java, Python, C#, C++)
Description
Already know how to code, but new to Go?
This hands-on course is designed for experienced software engineers who want to quickly become productive in Go (Golang) without having to wade through beginner-level programming syntax. If you've coded in Python, Java, C#, or similar languages and are ready to explore Go for professional use or evaluation, this course is for you.
What You'll Learn
- Go fundamentals through real project implementation — including syntax, maps, slices, pointers, interfaces, and first-class functions.
- Build practical Go applications from scratch, each focused on solving real-world problems with increasing complexity.
- Work with files and data — learn how to read, process, and write JSON in Go.
- Object-Oriented Programming in Go — understand Go's unique take on OOP and structuring large applications.
- Unit testing and mock testing to write maintainable, testable Go code.
- Concurrency and parallelism — Go's standout feature, explained with clear examples and hands-on projects.
- Generics and comparable types — leverage Go's type system to write reusable code.
- Create a REST API server — perform full CRUD operations with routing, middleware, request/response handling, and validations.
- Database integration with PostgreSQL — connect to a real database, model relationships, and run SQL queries.
- gRPC & Protocol Buffers — get introduced to modern, high-performance APIs used in microservices.
- AI Coding Assistant (GitHub Copilot) — boost your productivity with AI-powered suggestions and learn how to integrate them effectively into your workflow.
How You'll Learn
- Project-Based Learning: Each concept is introduced through a concise, time-efficient project that emphasizes real coding over theoretical instruction.
- Guided Challenges: Receive hints and problem statements to apply your knowledge before viewing the full solutions.
- Full Code Solution: For every project, step-by-step solutions are provided, ensuring you don't get stuck.
- Optional AI Integration: Learn to code with or without GitHub Copilot. Discover how AI can improve your efficiency.
Who Should Take This Course
- Software engineers or backend developers with prior experience in Python, Java, C#, or similar languages.
- Professionals evaluating Go for upcoming projects or team adoption.
- Busy developers seeking a concise, practical, and rewarding way to get up to speed with Go.
- Anyone interested in using AI tools like GitHub Copilot to streamline their development workflow, especially with Go.
Why This Course is Different
Unlike beginner Go tutorials that teach syntax in isolation, this course takes a "learn-by-doing" approach, teaching Go through real applications, practical patterns, and modern engineering practices. By the end, you'll be able to confidently write maintainable, tested Go code — and know when to reach for Go in real-world projects.
Who this course is for:
- The course is for software engineers with previous coding experience in non-Go programming languages (e.g., Java, Python, C#, C++). If you have never written code before, this course is unsuitable for you.
- A person who already knows Go basics (e.g., syntaxes, loop) and wants to learn more about intermediate Go hands-on.
Coding Go Projects for Non-Go Engineers (With AI Assistant)
