Agents for everything else
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AI Engineer · agents, ai engineering, developer tools, automation
AI education source
Modal
Modal examples
Useful for learning how to run AI workloads, inference jobs, and GPU tasks in production-like environments.
Start with: Deploy a small inference example before moving a real workload.
Videos
Educator videos are listed first. Similar videos are labelled and included when they cover the same skills or adjacent topics.
2025 in LLMs so far
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Simon Willison · llm tools, local models, ai engineering, coding
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Learner questions
Who should learn from Modal?
Developers deploying AI workloads should start here when they need deployment, gpu workloads, ai engineering, and batch jobs. The strongest fit is a learner who wants material in these formats: docs, examples, code.
What should I do first?
Deploy a small inference example before moving a real workload. After that, open one related resource below and write down the exact workflow, concept, or implementation pattern you want to apply.
What problem does this help with?
Useful for learning how to run AI workloads, inference jobs, and GPU tasks in production-like environments. Use this profile when you are comparing educators by topic, level, format, and practical usefulness rather than browsing random AI content.
How do I compare this with other educators?
Compare the skill coverage, the starting recommendation, and the related videos. If you need deployment, search the directory for that skill and shortlist three profiles before committing to a course, book, or playlist.
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