Our blog
Read practical articles on Cybersecurity, Data Science & AI, UX/UI & Product Design, and Web Development, written for a global community of learners. Whether you’re sharpening your skills, exploring a new topic, or looking for project inspiration, you’ll find tutorials, explainers, and best practices from the Code Labs Academy team.
Multi‑Agent RL for Smart Grids: System Design and Simulation in Python
Learn how to design and simulate multi-agent reinforcement learning for smart grids in Python, covering rewards, training, evaluation, and deployment.
SOC Analyst Roadmap: Skills, Tools, and a 90-Day Practice Plan
Follow this SOC analyst roadmap to build core skills, learn SOC tools, and complete a 90-day practice plan. Build a portfolio and explore Code Labs Academy.
Wireshark Filters Cheat Sheet: Find the Signal Fast
Use this Wireshark filters cheat sheet to isolate packets fast (DNS, TCP, TLS, HTTP). Learn workflows and explore Code Labs Academy bootcamps.
8 Beginner Cybersecurity Portfolio Projects (No Hacking, All Signal)
Build a standout cybersecurity portfolio without hacking. Try 8 beginner cybersecurity portfolio projects with clear steps and deliverables, start today.
Deep Reinforcement Learning for Demand Response with PyTorch: From MDP Design to Stable Training
Build demand response controllers with deep RL in PyTorch: define the MDP, shape cost/comfort/carbon rewards, and train stable DQN/actor-critic agents.
