
Go (Golang) Backend Masterclass: REST APIs & Microservices
udemy · Desarrollo · ⭐ 4.53 (287 reseñas) · All Levels · en · ⏱ 40 h
Impartido por Joseph Abah · 4.881 alumnos
19.99 USD
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Descripción
Tired of "toy projects" and simple Go tutorials that don't prepare you for the real world? Are you stuck in "tutorial hell," learning syntax but never building anything that actually runs in production? The industry is moving faster than ever. "Classic" backend skills aren't enough. You need to be building the next generation of applications—the kind that power A.I., handle massive concurrency, and run at Google-scale. This 39.5-hour masterclass isn't another tutorial. It's an apprenticeship. Built on 15+ years of enterprise experience in fintech, e-commerce, and healthcare, this is a "zero-to-hero" path that skips the fluff and throws you directly into building the systems you'll be paid to build. This is the last Go course you will ever buy. What You'll Actually Master: • Become an API Master: Don't just "learn" APIs. You will build production-grade REST and GraphQL APIs from scratch, handling everything from JWT authentication to clean architecture like a senior developer. • Master Google-Scale Concurrency: Finally understand why Go is the king of concurrency. You'll master goroutines, channels, and mutexes to build lightning-fast, concurrent applications that can handle real-world load. • Ship Like a Pro (Docker & Microservices): Go from code to cloud. Master the complete Docker and Docker Compose workflow to build, containerize, and deploy your applications, laying the foundation for a microservices architecture. • Write Unbreakable, Testable Code: Stop guessing. Learn the complete testing suite that professionals use: unit tests, integration tests, and advanced mocking to ensure your code is professional, bug-free, and maintainable. • Integrate with the Modern Cloud: Build apps that plug into the real world. You'll integrate with AWS S3 for file storage and AWS SQS for building robust, event-driven systems. • Go Beyond the 'Classic' Backend: Future-proof your career. You'll build an advanced MCP Server from scratch, learning the protocols that power next-generation A.I. and tooling. This isn't just about being a backend dev; it's about becoming an A.I.-Ready Engineer. Your Course, For Life • Full Source Code Access: You get full, lifetime access to the project's source code on GitHub. No hidden files, no black boxes. • A Course That Evolves With You: This course isn't static. It will continuously receive updates (like the gRPC section currently in development) to ensure your skills always stay on the cutting edge.
Lo que aprenderás
- Build Production-ready REST API, URL Bookmarking Web App with templates, GraphQL service
- Build Advanced GraphQL API
- Build A.I-ready Systems By Implementing The MCP Protocol From Scratch
- Learn Go from scratch, including data types, the standard library, concurrency, and best practices
- Learn Go concurrency patterns with goroutines and channels
- Master modern Go features including generics, modules, and embed directive
- Implement professional testing strategies including mocking and integration tests
- Build container ready application with Docker and microservices architecture
- Learn Industry best practices for clean architecture and error handling
- Learn how to interact with AWS: S3 and SQS. Mock on your system with Localstack without spending money
- Integrate with the Database (SQLite and Postgres) using raw SQL and an ORM with gORM
- Complete Docker Workflow with docker compose
- Best practices on how to build software using an incremental development approach.
- Build dozens of projects along the way to make you master every aspect of Go
- Learn how to test any kind of complicated code in Go
- Learn advanced Postgres Full-text search feature
Requisitos
- Patient and the hunger to become a great Go engineer.
- Basic programming knowledge in any language (variables, loops, functions)
- Familiarity with the command line/terminal would be beneficial.
- Computer with Windows, macOS, or Linux
- Go 1.24+ (installation covered in course)
- An Editor VS Code or Goland (I use Goland), Docker Desktop and Git