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The Golang (Go) training syllabus is a job-oriented program that focuses on building strong backend and systems programming skills using the Go language. It covers core Go concepts along with real-world projects, assignments, and industry use cases to develop scalable, high-performance applications. This training is important because Go is widely used for cloud-native systems, microservices, and DevOps tools due to its speed, simplicity, and concurrency support. It is ideal for backend developers, cloud engineers, DevOps professionals, and software engineers aiming to meet modern product-company and MNC hiring expectations.
Duration of Training : 40-50 Hours
Batch type : Weekdays/Weekends
Mode of Training : Classroom/Online/Corporate Training
Detailed Syllabus • Hands-on Labs • Assignments • Projects
Curriculum Designed by Experts
Backend Developer
Cloud / DevOps Engineer
Microservices Developer
Platform Engineer
SRE (with Go exposure)
Basic programming concepts
Understanding of APIs & databases (helpful, not mandatory)
| Area | Hours |
|---|---|
| Go Language Core | 18 |
| Advanced Go & Backend Development | 14 |
| Cloud, Microservices & DevOps Use Cases | 10 |
| Projects, Assignments & Job Scenarios | 8 |
| Total | 50 Hours |
Introduction to Golang
Why Go? (Performance, Concurrency, Cloud-native)
Go environment setup
Go workspace & module system
Basic syntax & structure
Variables, constants, data types Operators & control structures
Assignments
Basic programs (calculators, string utilities)
Control flow exercises
Functions & multiple return values Packages & imports
Arrays, slices & maps
Structs & methods
Pointers & memory basics
Error handling best practices
Assignments
Data processing programs
Struct-based mini applications
Job Scenarios
Handling errors in production systems
Structuring Go applications
Go’s approach to OOP
Interfaces & polymorphism
Composition over inheritance
Dependency injection concepts
Project folder structure standards
Assignments
Interface-based application design
Interview Focus
Why Go doesn’t have classical inheritance
Interface-driven development
Goroutines
Channels
Bugered vs unbugered channels
Select statement
Worker pools
Concurrency patterns
Race conditions & synchronization
Assignments
Concurrent file processor
Worker pool implementation
Job Scenarios
High-performance backend services
Parallel API processing
File I/O operations
JSON, YAML handling
Configuration management
Logging best practices
Environment-based configuration
Assignments
Config-driven Go applications
HTTP fundamentals in Go
RESTful service design
Routing & middleware concepts
Request/response handling
API validation & error responses
API security basics
Assignments
Build REST APIs
CRUD backend service
Job Scenarios
Designing production-ready APIs
API versioning strategies
Relational DB integration (PostgreSQL/MySQL)
NoSQL overview (MongoDB, Redis)
Connection pooling
Transactions
Data access patterns
Assignments
Backend service with database integration
Unit testing in Go
Table-driven tests
Benchmarking
Profiling basics
Secure coding practices
Input validation & secrets handling
Assignments
Write unit tests for APIs
Interview Focus
How Go handles testing digerently
Performance tuning scenarios
Go for microservices architecture
Service-to-service communication
Containerizing Go applications
CI/CD concepts with Go
Go in Kubernetes & cloud platforms
Real DevOps & SRE use cases
Job Scenarios
Writing Kubernetes controllers (overview)
Go for CLI tools (Docker, Terraform use cases)
PROJECT 1: RESTful Backend Microservice
Industry: E-commerce / FinTech Scope
API-based backend service
Business logic implementation
Database integration
Logging & configuration
Production-ready structure
Deliverables
Backend service
API documentation
Deployment-ready project
PROJECT 2: Concurrent Data Processing System
Industry: Data / Cloud Platforms Scope Parallel data processing Goroutines & channels Performance-optimized design
PROJECT 3 (Optional / Advanced): DevOps Utility Tool
Build a CLI tool in Go
Config-driven execution
Used in CI/CD or cloud automation
Assignments
API design exercises
Concurrency challenges
Error-handling scenarios
Database design tasks
Job-Oriented Scenarios
Debugging race conditions
Scaling Go services
Memory & CPU optimization
Microservices failure handling
Interview coding discussions
Roles That Use Go
Backend Engineer
Cloud Engineer
Platform Engineer
DevOps Engineer
SRE
Companies Using Go
Google, Uber, Docker, Kubernetes ecosystem, AWS, Microsoft, FinTech & SaaS companies
After completing this training, learners can:
✔ Build production-ready Go applications
✔ Develop scalable backend services
✔ Use Go for cloud & microservices
✔ Handle concurrency & performance
✔ Crack Go developer interviews
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