AI in Training

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Watch: Closing AI & Tech Skill Gaps in 2026

If AI skills feel like the fastest-moving target in your organization, you’re not imagining it.

In last week’s live session, Closing AI & Tech Skill Gaps in 2026, we unpacked what’s actually changing in the skills landscape and what training providers and L&D teams need to do next. The conversation focused less on hype and more on execution.

We covered:

  • The AI and tech skills that matter most heading into 2026

  • Why self-paced e-learning continues to struggle, with completion rates stuck around 10–20%

  • Why instructor-led training and virtual ILT are making a comeback

  • The operational friction that makes ILT hard to scale

  • How AI is transforming training operations, from scheduling and logistics to grading, feedback, and instructor support

The big takeaway: closing AI and tech skills gaps isn’t just about what you teach. It’s about how training is delivered, supported, and scaled.

If you’re responsible for training customers or employees and want practical insight into how AI can strengthen engagement, outcomes, and ROI, this session is worth your time.

WSJ: How to Stay Sane in the AI Skills Race

AI is now the #1 concern among job seekers.

With software stocks sliding and AI framed as both a productivity breakthrough and a threat to job security, career anxiety is rising fast. AI adoption has now overtaken burnout as the top concern for job seekers. But according to the Wall Street Journal, most people are reacting with unnecessary panic rather than a smart AI training strategy.

AI is now the #1 concern among job seekers (WSJ)

Despite the headlines, only about 4% of job postings explicitly mention AI skills. Even in white-collar roles, most jobs do not require deep expertise in generative AI tools. AI training is becoming important, but it is usually narrower and more practical than people expect.

Where many professionals go wrong is choosing the wrong AI training. The market is crowded with courses, bootcamps, and certifications that promise career protection but rarely stand out to employers. Recruiters consistently say that general AI training programs have limited impact unless they are directly tied to the work you already do.

The most effective AI training starts with your actual job. Ask a simple question: how could AI help me do my work faster, better, or with less effort? One useful approach is to ask an AI tool to design a short AI training plan tailored to your role and responsibilities, then refine it until the learning is focused and realistic.

Finally, AI training only matters if you can explain the results. A certificate alone does not signal AI expertise. Hiring managers care about examples of work where AI improved outcomes, such as faster research, better analysis, or clearer communication. The strongest AI training story shows adaptability, continuous learning, and practical impact rather than fear-driven upskilling.

Bottom line: staying sane in the AI skills race means choosing relevant AI training, applying it to real work, and using those results to strengthen your career narrative.

Best Free AI Courses and Certificates for Upskilling in 2026

If you want to learn AI, there’s no shortage of free options. ZDNet recently highlighted a growing list of free AI courses and certificates from trusted names like Google, Microsoft, AWS, IBM, LinkedIn Learning, and DeepLearning.

These programs cover AI basics, prompt engineering, and business use cases, often with a certificate you can share on LinkedIn.

That’s a real win. Free AI training lowers the barrier to entry and makes it easier to build baseline AI literacy without committing to expensive programs. For many professionals, this is a smart way to explore what AI can actually do.

But most of these courses are self-paced e-learning, and that format has a hard limit. Typical completion rates hover around 10–20%, especially when there’s no live instruction, no deadlines, and no hands-on practice. Access to content doesn’t guarantee follow-through, and watching videos rarely translates into usable skill on its own.

The takeaway isn’t to skip free AI courses. It’s to use them for what they’re good at: orientation, vocabulary, and confidence. Real AI upskilling still comes from applying what you learn to real work, with practice and feedback.

Free AI training opens the door. Walking through it takes more than content.

Deliver AI Training From Vetted Experts

If your company is looking to provide better AI training to customers or employees, content isn’t the bottleneck. Execution is.

TryTami helps organizations deliver expert-led AI training that drives engagement, completion, and real-world application, without building everything in-house.

Request a demo of TryTami to see how vetted experts can power your AI training programs:

Until next Tuesday,
Kelby, Dean, & Dave

About the Authors: This article was written by the TryTami team, experts in instructor-led training operations and corporate L&D technology. TryTami helps training providers and enterprise L&D teams scale expert-led learning programs efficiently.

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TryTami is an AI-powered training management platform that helps instructor-led training providers and corporate L&D teams scale live learning programs efficiently. Learn more at www.trytami.com.

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