2025 I spent the entire year learning and building with GenAI. I have just updated
@learntocloud with the relevant lessons.
Phase 2 now has:
- Generative AI APIs (OpenAI SDK, structured outputs, function calling)
- Prompt Engineering (few-shot, context, specificity)
- New Capstone: Build a Journal API with AI analysis
These topics now thread through the entire curriculum:
Phase 3 Cloud Platformā Deploy AI-enabled apps, secure your LLM API keys in production
Phase 4 DevOpsā Containerize AI apps, store secrets in K8s, monitor LLM latency & token usage
Phase 5 Cloud Security ā Secrets management, audit trails, and security for AI endpoints
Learn to Cloud and all relevant subprojects (our Linux CTFs and our capstone repos) are free, open source, and updated monthly by people who actively work in the field. There is a reason why PAID bootcamps and schools reference our material.
However, we cannot and will never offer handholding or keeping you accountable.
To learn deeply means to struggle, to doubt yourself, to experience failure, and to sacrifice. Wisdom takes work and time. If you have the discipline and belief in yourself, L2C is the right resource for you.
You can do it. Wishing everyone a year of deep work and learning in 2026.
learntocloud.guide