Found a completely free resource to learn Cloud and DevOps from scratch.
It covers Linux, networking, Python, AWS, Azure, GCP, Docker, Kubernetes, Terraform, CI/CD, observability and security.
Youโll also build Linux, networking, cloud deployment and DevOps capstone projects along the way.
https://t.co/A3XC3jYNJq
Instead of watching an hour of Netflix, watch this 2 hour hour Stanford lecture will teach you more about how LLMs like ChatGPT and Claude are built than most people working at top AI companies learn in their entire careers.
10 Books that will make you a 10x AI engineer:
1 Building LLMs for Production
2 AI Engineering
3 Designing Machine Learning Systems
4 Build a Large Language Model
5 Designing Data-Intensive Applications
6 LLM Engineer's Handbook
7 Deep Learning
8 Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
9 Prompt Engineering for LLMs
10 Introduction to Statistical Learning
What else should make this list?
The engineer who built Claude Code just dropped a 28-minute video on how to write prompts that actually work
I've seen $300 courses that don't cover what he shows in the first 10 minutes
CLAUDE.md files, memory shortcuts, parallel sessions, prompting patterns
all in one video and completely free works whether you're a developer, a beginner, or someone who's been using Claude for months.