How to Build a Career in Artificial Intelligence (Beginner to Expert Guide)

AI careers compound fastest when you layer strong fundamentals with deployable projects and evaluation skills; use a staged plan: math + Python → ML basics → deep learning → a domain (NLP/CV/RecSys/GenAI) → MLOps and safety → research or systems depth.​ Stage 1: Foundations (4–8 weeks) Stage 2: Core ML (6–10 weeks) Stage 3: Deep … Read more

From Beginner to Expert: The Ultimate IT Learning Roadmap

The fastest path from beginner to expert in IT is to master durable fundamentals, build deployable projects with tests and documentation, and iterate through cloud, security, and reliability practices until your portfolio mirrors production standards. Use focused sprints, measurable outcomes, and multi‑artifact proof (code, docs, demos) at each stage to compound skills. Stage 0: Digital … Read more