GO Programming for Everyone: Part 2
Master advanced Go programming with structs, interfaces, concurrency, and integration techniques for building efficient, scalable applications.
Master advanced Go programming with structs, interfaces, concurrency, and integration techniques for building efficient, scalable applications.
This comprehensive course builds on the foundations of Go Programming Part 1, taking students deeper into the powerful features of Google's Go language. Designed for intermediate programmers, the curriculum explores advanced concepts including type declarations, structs, methods, and data structures like lists, stacks, and binary trees. Students will master interfaces, sorting mechanisms, and error handling techniques essential for robust application development. The course places special emphasis on Go's renowned concurrency features, covering channels, goroutines, waitgroups, and mutexes. Through hands-on assignments and peer reviews, participants develop practical skills in implementing algorithms, designing efficient data structures, and applying testing methodologies. By course completion, students will be equipped to create sophisticated, high-performance applications using Go's modern programming paradigms.
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What you'll learn
Implement custom types, structs, and methods to organize code effectively
Design and utilize data structures like linked lists, stacks, and binary trees
Apply graph algorithms including Dijkstra's shortest path algorithm
Create flexible code using Go's interface system and sorting capabilities
Implement robust error checking and handling techniques
Master Go's concurrency model with channels, goroutines, and synchronization patterns
Skills you'll gain
This course includes:
6.7 Hours PreRecorded video
6 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 6 modules in this course
This course provides a comprehensive exploration of advanced Go programming concepts and techniques. Students begin by mastering custom types, structs, and methods, which form the foundation for object-oriented programming in Go. The curriculum then delves into essential data structures and algorithms, including linked lists, stacks, binary trees, and graph algorithms like Dijkstra's shortest path. Students learn to leverage Go's powerful interface system for creating flexible and reusable code, along with sorting techniques and robust error handling practices. A significant portion of the course focuses on Go's concurrency model, covering channels, goroutines, synchronization patterns, and techniques to avoid common pitfalls like deadlocks and race conditions. The final modules address testing methodologies, generic programming approaches, and integration with C code, providing students with a well-rounded understanding of Go's capabilities for building efficient, scalable applications.
Week 1
Module 1 · 3 Hours to complete
Week 2
Module 2 · 3 Hours to complete
Week 3
Module 3 · 2 Hours to complete
Week 4
Module 4 · 3 Hours to complete
Week 5
Module 5 · 2 Hours to complete
Final Exam
Module 6 · 2 Hours to complete
Fee Structure
Instructor
Acclaimed Computer Science Professor and Expert in Programming Languages
Ira Pohl is a Professor of Computer Science at the University of California, Santa Cruz, and a Fellow of the ACM. He is part of the Jack Baskin School of Engineering and has authored numerous works on programming languages including C, C++, C#, and Java. His research interests span artificial intelligence, programming languages, practical complexity problems, heuristic search methods, deductive algorithms, and educational and social issues. In his leisure time, he enjoys walks and bike rides by the ocean and occasionally plays chess in a coffee house.
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Frequently asked questions
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