AI is no longer an emerging trend—it’s a core business driver. From automation to decision-making and customer engagement, organizations are integrating AI rapidly. But without the right skills in-house, these technologies risk being underused—or misused.
“Companies that fail to invest in AI skills today will struggle to compete tomorrow,” says Frank Højgaard, CEO at Readynez. “We’re seeing that those who moved early on training are already ahead in implementation and innovation.”
A recent World Economic Forum report estimates that 75% of companies plan to adopt AI within the next few years, while over 44% of employee skills are expected to change. Despite this, many businesses still hesitate to build internal AI capabilities.
AI Training That Builds Future-Ready Teams
Readynez has expanded its comprehensive AI training portfolio to help enterprises close the skills gap quickly and effectively. Among the most popular courses are:
- Certified Artificial Intelligence Practitioner (CAIP)
- Microsoft Azure AI Fundamentals (AI‑900)
- AI‑Driven Data Analytics & Automation (enterprise-level program)
- Ethical AI – Principles, Risks, and Governance
This selection represents just a snapshot of Readynez’s full AI curriculum, which caters to both technical specialists and decision-makers. The latest addition, Ethical AI, equips professionals to navigate the social, legal, and moral dimensions of AI—covering bias mitigation, transparency, and governance frameworks
| Read more about the AI skills your team needs here.
Readynez confirms that several upcoming courses still have open seats—making summer an ideal time for companies to act while others wait.
Why It Matters
AI isn’t waiting—and neither should organisations. Enterprises adopting AI without building internal understanding risk slowed innovation, deployment failures, and reputational setbacks from ungoverned systems.
“In today’s fast-changing AI landscape, investing in your people is more critical than the technology itself,” concludes Frank Højgaard.
For leaders mapping their digital strategies, the message is clear: AI won’t wait. Neither should you.
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