AI, Data & Computing
The layer everything else now runs on: software, models, data and the infrastructure holding them up.
Training catalog: AI & Computing →
Blockchain Engineering Careers After the Hype Cycle
Blockchain engineering careers outlasted the use cases. Distributed consensus is real; most enterprise projects needed a shared database instead.
IT Infrastructure Careers: Someone Knows Where It Went
IT infrastructure careers persist because cloud abstractions hide infrastructure rather than removing it. Network knowledge still resolves the hard outages.
Cloud and DevOps Skills: The Bill Is a Design Document
Cloud and DevOps skills decide the infrastructure bill. What an organisation spends describes how its software was built. Cost and reliability are one.
The Cybersecurity Talent Shortage Is Not Entry-Level
The cybersecurity talent shortage is a progression problem. Junior applicants are plentiful and experienced defenders are not. What to build instead.
The Data Science Workforce Mostly Cleans Data
The data science workforce is the fastest growing in tech, at 33.5 percent to 2034. Most of the role is data quality and asking the right question.
The Software Engineering Skills Gap Is Not About Code
The software engineering skills gap sits in reading, reviewing and maintaining, not writing. BLS projects 267,700 more developer jobs by 2034.
Computer Science Fundamentals and the Workforce
Computer science fundamentals in the workforce are what people reach for when the tool fails. Frameworks change every few years. The underlying ideas do not.
The AI Skills Gap Is Mostly a Cybersecurity Gap
The AI skills gap does not sit where employers think. The fastest-growing role in the labour data is information security analyst. Where demand really is.