DevOps
fromInfoWorld
6 hours agoAre AI certifications worth the investment?
AI certifications are increasingly essential for IT professionals to translate AI tools into business results and enhance career opportunities.
David Robinson, who completed a one-year postgraduate diploma in adult nursing, was informed that his course was ineligible for maintenance loans, requiring repayment at an accelerated rate.
Social anxiety and depression had other plans, leaving me in an ugly cycle of self-isolation and rumination. Terrified of rejection, I'd meet someone interesting during one of my English lectures and invite them out for frozen yogurt in my head.
One of my favorite movies is Good Will Hunting. Will Hunting (played by Matt Damon) is a 20-year-old janitor at the Massachusetts Institute of Technology. Although he works a blue-collar job, he is secretly a self-taught genius with an extraordinary gift for mathematics and an exceptional memory. One day, he anonymously solves a complex math problem left on a chalkboard by Professor Gerald Lambeau, astonishing the faculty.
LinkedIn is taking steps to prove that job candidates really have they skills they claim. The Verified AI Skills program unveiled in January involves LinkedIn partnering with AI tool providers to automatically validate and display a user's proficiency directly in their certification section. The initial partners include Lovable, Replit, Relay.app, and Descript, which will track AI proficiency of candidates using their tools to create AI apps.
Choosing the right training content isn't about how much training content you offer. It's about how well that content fits the job it needs to do. The real training challenge is not content. It's fit We often hear that teams need more training. But when we dig deeper, the problem is rarely a lack of courses. It's a lack of focus. Training often fails because different needs get lumped together into one giant learning initiative. For instance, it's impossible to use the same approach for teaching introduction to Python as for harassment prevention.
When you learn on your own, you're responsible for: Choosing what to learn next Deciding what "good enough" looks like Knowing when you're ready to move on Evaluating whether your work reflects real-world expectations Most beginners don't struggle because they lack discipline. They struggle because they don't yet have the context to make good learning decisions.