Bytesizego – AI Engineering with Go 2025-10

Updated August 10, 2026 2.2 GB

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Description

AI Engineering with Go. This course challenges the idea that Python is the only option for developing AI applications and shows how the Go programming language can be used to build intelligent, autonomous applications in the real world. The course starts with a hands-on approach, starting with the basics of using large language models and gradually progresses to building complex, dynamic, and autonomous AI agents. The course focuses on delivering practical projects in each module, so that learners develop skills while building a strong and tangible portfolio of their achievements. Topics include building your first shippable AI application, calling functions to create structured actions on language models, using vector databases, and finally, engineering and building AI agents.

What you will learn

Project construction:
Building more than 3 complete AI projects and deploying them.
LLM APIs:
Mastery of Large Language Model (LLM) APIs such as OpenAI and Claude with integration with Go.
Vector databases:
Implementation of Vector Databases, Embeddings, and Semantic Search.
Structured interactions:
Building function calling capabilities and structured interactions with LLM.
Deployment in production:
Deploying AI applications in a production environment with appropriate architecture.
Smart systems:
Creating Turn-based AI Systems and Intelligent Content Processing.

This course is suitable for people who:

Developers who want to build AI applications with the Go language.
Software engineers looking to integrate LLMs into their applications.
People who want to move away from Python and specialize in AI engineering with Go.
Those interested in building Autonomous AI Agents.
Professionals who need to deploy large-scale AI applications.