> For the complete documentation index, see [llms.txt](https://docs.astrafy.io/handbook/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.astrafy.io/handbook/its-all-about-people/training.md). # Training > "Live as if you were to die tomorrow. Learn as if you were to live forever." Mahatma Gandhi In the fast-moving worlds of Data and Generative AI, resting on your laurels is not an option. We do not just claim to value continuous learning; we build it directly into your schedule, your budget, and your daily operations. Unlike traditional consulting firms or body shops, we will never send you to a client and sell you as an expert until you truly are one. We do not pretend to be a "can-do-everything" company. We focus strictly on the modern data stack and Generative AI architectures, which means we have a clear, targeted set of technologies that we master completely. Here is how we ensure you get smarter every single day at Astrafy: #### 1. Dedicated Time: The 10-15% Rule We believe that learning requires True Mental Availability, which means it should happen during your working hours, not your weekends. * Your First Four Weeks: Your first month at Astrafy is dedicated entirely to training, internal projects, and passing key certifications. You will only be onboarded to a client project once you have built a rock-solid foundation. * Ongoing Commitment: Even after you are fully deployed on client projects, we strictly allocate 10% to 15% of your time exclusively for continuous training, studying, and attending conferences. Your training track is continuously reviewed and updated every six weeks in coordination with your mentor. #### 2. Trust-Based Budgets We do not put arbitrary limits on the number of courses or certifications you can take. If a certification makes you a sharper engineer, we want you to have it. Once your mentor reviews and approves your training path, you are empowered to use your Astrafy Revolut Business card to pay for the courses and exams directly. No bureaucratic reimbursement forms required. #### 3. Engineering Playgrounds & Sandboxes Reading documentation is not enough; we are a team of builders. To ensure you get hands-on, concrete experience with new technologies: * Personal GCP Sandbox: Every engineer is provided with their own Google Cloud sandbox project to experiment, break things, and build safely. * Internal GKE Cluster: We host a dedicated Google Kubernetes Engine (GKE) cluster actively running modern stack applications like Airbyte, Lightdash, and Hasura. We maintain dummy data and demo repositories for each of these applications so you can instantly test new integrations and architectures in a live environment. #### 4. Conferences & Thought Leadership Conferences are critical for spotting the latest tech trends, networking with industry leaders, and seeing how we can push our own boundaries. We aim to send every employee to one or two major conferences per year. Our regular staples include: * Google Cloud Next * KubeCon * HashiConf * Coalesce Beyond attending, we build in the open. We highly encourage and support our team in submitting applications to be speakers at these events. Sharing your expertise on stage is a unique, enriching experience that elevates both your personal brand and the Astrafy DNA within the global tech community. --- # 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 dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.astrafy.io/handbook/its-all-about-people/training.md?ask= ``` The question should be specific, self-contained, and written in natural language. 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.