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Spring AI

From Java Dev to AI Engineer: Spring AI Fast Track

Install

$git clone https://github.com/eazybytes/spring-ai

Install command taken from the project's README or registry entry. Always review code before running it.

From Java Dev to AI Engineer: Spring AI Fast Track

🌱 Spring AI Course – Resources & Reference Links

Welcome to the official GitHub repository for the Spring AI Course. This course helps you build intelligent applications using the Spring AI framework and integrate powerful LLMs like OpenAI into your Spring Boot apps.

Below are some carefully curated reference links and tools used throughout the course. Bookmark this information for quick access during development and exploration.


📘 Official Documentation


🤖 AI Providers & Runtimes

  • Ollama
    Run open-source large language models (LLMs) locally on your machine with simple commands.

  • AWS Bedrock
    Access foundation models from various providers via a fully managed AWS service.

  • Docker Desktop
    Essential for running local AI model runtimes and Docker Compose setups used in the course.

  • Docker Model Runner
    Use Docker’s official tool for running and managing AI models locally.


📚 Foundational Papers & Tools


📦 Vector Store & MCP


📊 Observability & Monitoring Tools

  • Prometheus
    Monitoring and alerting toolkit for collecting Spring Boot and AI app metrics.

  • Micrometer
    Java metrics collection library used with Spring Boot to expose observability data.

  • OpenTelemetry
    Industry-standard framework for distributed tracing and telemetry data.

  • Grafana
    Visualization tool for creating dashboards from Prometheus and other data sources.

  • Jaeger Tracing
    Distributed tracing platform used to trace and monitor AI request flows.


📎 Stay Connected


📬 For questions or issues, raise a GitHub issue or connect with the course instructor

Happy Learning! 🚀

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