ai-agent-course

by kshvakov · AI 工具 · ★ 11

About ai-agent-course

AI Agent Course 🤖 Translations English (EN) — (this branch) Русский (RU) — Russian version Why This Course? Welcome to a practical course on building autonomous AI agents in Go! This course is designed for programmers who want to understand how modern LLM agents work "under the hood" and learn how to apply them to solve real-world problems. Real-World Case Study Situation: You've created a chatbot for DevOps. A user writes: "We have database issues, investigate" Problem: A regular chatbot can only respond with text. It can't actually check metrics, read logs, or apply fixes.

agentic-ai-developmentai-agentsautonomous-agentscoursegolangllmmulti-agentprompt-engineering

Quick Facts

Stars11
Forks4
LanguageGo
CategoryAI 工具
Quality Score44.2/100
Last Updated2026-04-22
Created2026-01-04
Platformsgo
Est. Tokens~207k

Compatible Skills

These tools work well together with ai-agent-course for enhanced workflows:

  • agent-message-queue — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (53%)
  • ClawNet — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (52%)
  • WRAI.TH — semantic(0.15)+complementary+same_lang+similar_pop+shared_platform (50%)
  • AgenticGoKit — semantic(0.30)+complementary+rare_topics+same_lang+shared_platform (50%)
  • gollem — semantic(0.18)+complementary+same_lang+shared_platform (46%)

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Frequently Asked Questions

What is ai-agent-course?

ai-agent-course is Hands-on course for building autonomous AI agents in Go: LLM fundamentals, tool/function calling, RAG, evals, multi-agent, safety, and observability. It is categorized as a AI 工具 with 11 GitHub stars.

What programming language is ai-agent-course written in?

ai-agent-course is primarily written in Go. It covers topics such as agentic-ai-development, ai-agents, autonomous-agents.

How do I install or use ai-agent-course?

You can find installation instructions and usage details in the ai-agent-course GitHub repository at github.com/kshvakov/ai-agent-course. The project has 11 stars and 4 forks, indicating an active community.

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