Course Curriculum

11 Chapters · 11 Lessons

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    Chapter 1: Introduction to Go and AI-Assisted Development

    1. (Included in full purchase)

      Introduction to Go and AI-Assisted Development

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    Chapter 2: Go Syntax, Variables, and Data Types

    1. (Included in full purchase)

      Go Syntax, Variables, and Data Types

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    Chapter 3: Functions, Packages, and Modular Code

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      Functions, Packages, and Modular Code

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    Chapter 4: Error Handling and Debugging in Go

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      Error Handling and Debugging in Go

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    Chapter 5: Concurrency in Go

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      Concurrency in Go

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    Chapter 6: Database Interaction and Context Management in Go

    1. (Included in full purchase)

      Database Interaction and Context Management in Go

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    Chapter 7: Web Server and REST API Development

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      Web Server and REST API Development

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    Chapter 8: Concurrent Processing Pipelines

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      Concurrent Processing Pipelines

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    Chapter 9: Integrating AI Tools in Go Development

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      Integrating AI Tools in Go Development

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    Chapter 10: Deploying Production-Grade Go Microservices

    1. (Included in full purchase)

      Deploying Production-Grade Go Microservices

About the Course

Go has emerged as the language of choice for high-performance backend engineering, and is a core skill for modern software, cloud, and platform engineering roles. The book, Prompting Go for Systems Development, shows you how to translate natural-language intent directly into working Go code using AI, accelerating every stage of backend development from API design and concurrency to microservice deployment. Rather than teaching Go from scratch, this book puts AI-assisted execution at the centre. You use prompt engineering techniques to generate goroutines, REST APIs, database interactions, and concurrent pipelines, then refine and deploy them with confidence. Every chapter is oriented around getting production-ready output faster, not theory. By the end of the book, you will use AI prompts as a core part of your Go development workflow, shipping scalable, high-performance backend systems with greater speed, consistency, and precision than traditional development allows.

About the Author

Drishti Jain holds an MS in Computer Science from Georgia Institute of Technology, USA, specializing in Machine Learning (ML). She has researched extensively in building AI systems for education and healthcare in the USA. Drishti is an acclaimed international Tech Speaker (with more than 100 conferences) globally. She is a well-known technical book author, a technical panelist, and a judge.