Delving Deeper into Go Programming

Techniques for Building Robust and Scalable Applications


6 days (4 hours per day)


Intermediate Level

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This advanced Go programming course is designed for experienced Go developers seeking to deepen their understanding and mastery of the language. It focuses on advanced topics such as gRPC, database interaction, input validation, unit testing, and performance optimization. Through a series of comprehensive modules, participants will enhance their skills in writing robust, efficient, and scalable Go applications. The course combines theoretical knowledge with practical exercises, including coding challenges and project work, to ensure learners can apply what they’ve learned in real-world scenarios.

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Software developers, backend engineers, and DevOps professionals looking to master Go for web development, microservices, and system programming.

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  • Protobuf message conventions and best practices.
  • Deep dive into SQLX for advanced database operations.
  • Executing and parsing database results efficiently.
  • Advance query building in Go.
  • Input validation & sanitization for gRPC services.
  • Setting up an H2-like database environment for unit testing.
  • Mocking dependencies in Go using go-mock.
  • Strategies for integration testing in Go applications.
  • Introduction to load and stress testing tools for Go applications.
  • Fuzz testing in Go for enhanced application robustness.
  • Introduction to generics in Go (optional, based on time).
  • Deep dive into interface-based programming and its importance.
  • Advanced concurrency.
  • Profiling Go applications with pprof.
  • Memory optimization techniques (optional, based on time).
  • Benchmarking and tuning gRPC services for throughput (TPS).
  • Strategies for optimizing concurrency in Go applications.
  • Debugging Go applications with the “delve” debugger.
  • Effective code review practices for Go projects.
  • Implementing observability in Go applications.
  • Building data processing pipelines and handling large datasets in Go.
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  • Solid understanding of Go programming basics
  • Familiarity with Go syntax and basic programming constructs
  • Experience with basic Go concurrency patterns and interface-based programming
  • Basic knowledge of SQL and databases
  • Understanding of basic software testing concepts


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