Programming with Google Go Specialization Course Syllabus

Overview: This specialization provides a comprehensive introduction to Google's Go programming language, designed for developers with prior experience in C, Python, or Java. Through a blend of theoretical instruction and hands-on projects, learners will master core Go concepts, build modular applications, and implement concurrent programming patterns. The course is structured into three core modules and a final project, totaling approximately 26 hours of flexible learning, ideal for working professionals seeking to enhance their backend and systems programming skills.

Module 1: Getting Started with Go

Estimated time: 10 hours

• Introduction to Go syntax and language structure
• Understanding data types and variables in Go
• Working with protocols and data formats including JSON
• Writing Go code compliant with RFC standards

Module 2: Functions, Methods, and Interfaces in Go

Estimated time: 8 hours

• Implementing functions and function types in Go
• Creating and using methods on types
• Understanding object-orientation in Go
• Instantiating classes and working with interfaces

Module 3: Concurrency in Go

Estimated time: 8 hours

• Introduction to concurrent programming concepts
• Writing and managing goroutines
• Using channels for communication between goroutines

Module 4: Hands-on Project Development

Estimated time: 12 hours

• Building a modular Go application using functions and interfaces
• Integrating JSON parsing and data handling
• Implementing concurrent features with goroutines and channels

Module 5: Final Project

Estimated time: 10 hours

• Design and develop a complete Go application
• Demonstrate proficiency in concurrency and modular design
• Submit code for peer review and validation

Prerequisites

• Prior programming experience in C, Python, or Java
• Familiarity with basic software development concepts
• Basic understanding of data structures and control flow

What You'll Be Able to Do After

• Write efficient and clean Go programs using proper syntax and structure
• Build modular and reusable code with functions, methods, and interfaces
• Implement concurrency using goroutines and channels for parallel processing
• Parse and generate JSON data in real-world applications
• Develop scalable backend services suitable for cloud and network environments