(Golang) Go Projects for Non-Go Engineers: With AI Assistant
Learn Go (Golang) with practical projects! Master concurrency, PostgreSQL, REST APIs & gRPC. Build real-world skills.
Course Content
(Golang) Go Projects for Non-Go Engineers: With AI Assistant is an intermediate-level Udemy course taught by Timotius Pamungkas. It runs 13h 11m, is taught in English, and includes a certificate of completion. Learners rate it 4.7 out of 5 from 51 reviews, with 368 students enrolled. It is a paid course, last updated June 2025.
Accelerate Your Go Development: A Hands-On Course for Experienced Engineers
Already proficient in coding? Transition to Go (Golang) quickly with this practical course designed for experienced software engineers. Skip the beginner syntax and dive directly into building real-world applications. If you've worked with Python, Java, C#, or similar languages and are ready to leverage Go for professional projects or evaluation, this course is tailored for you.
What You'll Master:
- Go Fundamentals: Grasp core Go concepts – including syntax, maps, slices, pointers, interfaces, and first-class functions – through practical project implementation.
- Real-World Applications: Build practical Go applications from scratch, tackling increasingly complex problems.
- File & Data Handling: Efficiently work with files, learn to read, process, and write JSON data in Go.
- Object-Oriented Programming (OOP) in Go: Understand Go's unique approach to OOP and design scalable applications.
- Testing & Quality: Implement unit testing and mock testing to ensure maintainable and testable Go code.
- Concurrency & Parallelism: Explore Go's powerful concurrency features with clear examples and hands-on projects.
- Generics & Comparable Types: Utilize Go's type system for reusable and efficient code.
- REST API Development: Create a robust REST API server with full CRUD operations, including routing, middleware, request/response handling, and validations.
- Database Integration: Connect to PostgreSQL databases, model relationships, and execute SQL queries.
- gRPC & Protocol Buffers: Get introduced to gRPC and Protocol Buffers for building modern, high-performance APIs in microservices.
- AI-Powered Development: Integrate AI coding assistants like GitHub Copilot to boost your productivity and streamline your Go development workflow.
How You'll Learn:
- Project-Based Learning: Each concept is introduced through concise, time-efficient projects focused on practical coding.
- Guided Challenges: Apply your knowledge with hints and problem statements before reviewing full solutions.
- Full Code Solutions: Access step-by-step solutions for every project, ensuring you stay on track.
- Optional AI Integration: Learn to code with or without GitHub Copilot, discovering how AI can enhance your efficiency in Go.
Who Should Take This Course?
- Software Engineers & Backend Developers: With prior experience in Python, Java, C#, or similar languages.
- Professionals Evaluating Go: Considering Go for upcoming projects or team adoption.
- Busy Developers: Seeking a concise, practical, and rewarding path to mastering Go.
- AI Tool Enthusiasts: Interested in leveraging AI tools like GitHub Copilot to optimize their Go development.
Why Choose This Go Course?
Unlike introductory Go tutorials, this course emphasizes learn-by-doing. We teach Go through real-world applications, practical patterns, and modern engineering practices. By the end, you'll confidently write maintainable, tested Go code and know when to apply Go effectively in real-world projects.
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