Product knowledge training is about methodically educating employees, partners, and customers about the ins and outs of a company's products or services. For employees and partners, it's the essential working knowledge they need to confidently sell, support, and deliver the product. For customers, it's the know-how they need to adopt it smoothly and get the most value from it.
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.
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.
Recent research from the World Economic Forum shows that demand for digital skills, including AI, Big Data, and technology literacy, is growing faster than the global workforce can keep pace. This growing imbalance is widening the digital skills gap, leaving many business leaders unsure whether they have the right people, with the right skills, ready to perform at the speed their organizations need to compete and grow.
I was like, 'What do you mean, I can actually work and take some classes?' I didn't even know there were apprenticeships out there, because I thought it was something of the past. That was my dream-to go into some field of engineering-so it was great to find something like AT&T, which has an apprenticeship program where you can jump into it, which later becomes software engineering.
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.
Young people are "experiencing higher education differently, and that is shaping much of what parents are saying," said Lammers. "[Parents] are reacting to the questions their children are asking and trying to find the best way to help them navigate the next steps."
Corporate training courses matter more today than they ever have before. This is because the way we work has changed, and so has the way people learn. In the past, training was often a one-time event, like a workshop or a short onboarding session. Today, this approach is not enough. Skills change rapidly, roles can shift, and companies need ongoing learning. This learning must be flexible and closely linked to real business goals.
Corporate learning has spent years optimizing the wrong thing. Organizations have refined course catalogs, improved completion rates, expanded content libraries, and invested heavily in certifications. Learning platforms are more sophisticated than ever, content is more accessible than ever, and reporting is more detailed than ever. Yet despite all this progress, most organizations continue to struggle with persistent skills gaps, slow capability building, and weak knowledge retention.