> For the complete documentation index, see [llms.txt](https://docs.aisl.science/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.aisl.science/learning-and-resources.md). # Learning & Resources Practical AISL learning, training, tutorials, public resources, and selected starting points for teaching, experimentation, and project work. AISL uses practical AI and developer tooling in teaching, learning, experimentation, prototyping, and skills development. This section brings together **public AISL resources, training material, tutorials, and selected learning-oriented starting points** rather than duplicating complete vendor documentation. ## AISL resources The following resources are publicly available and can be used independently of access to AISL applications: * [AISL website](https://aisl.science/) — research, projects, teaching, and community information * [AISL on GitHub](https://github.com/AISL-science) — public repositories and project resources * [AISL on Hugging Face](https://huggingface.co/AISL-science) — public models, datasets, and artifacts when available * [Reading Is All You Need](https://huggingface.co/collections/AISL-science/reading-is-all-you-need) — curated AISL reading collection ## Training and tutorials * [Training Apertus](/learning-and-resources/training-apertus.md) — practical Apertus 1.5 SFT workflow covering the Kaggle training notebook, the text-focused checkpoint, baseline evaluation, current tooling status, and scaling to larger compute * [AI-assisted Software Development (AI-SDLC)](/learning-and-resources/ai-sdlc.md) — canonical method documentation for disciplined software development with AI coding agents, including lifecycle phases, repository artefacts and getting started guidance Additional tutorials and notebooks will be added here over time. ## Developer and notebook resources * [GitHub Education for Students](/external-tools-and-services/github-education-for-students.md) — GitHub Pro, Copilot Student, Codespaces, and Student Developer Pack benefits * [JetBrains for Students](/external-tools-and-services/jetbrains-for-students.md) — professional IDEs, educational licenses, and JetBrains AI Free * [AI Coding Assistants](/external-tools-and-services/ai-coding-assistants.md) — free and open-source coding tools and current free tiers * [Notebook Services](/external-tools-and-services/notebook-services.md) — free and education-oriented browser notebook platforms * [External Tools and Services](/external-tools-and-services.md) — broader external infrastructure and toolstack overview {% hint style="info" %} External tools and educational offers can change quickly. Check the provider's official documentation before planning a course, assignment, or project around a specific quota or feature. {% endhint %} --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.aisl.science/learning-and-resources.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.