The AI Education Gap and How to Close It

AI education is broken, how do we solve it? Individuals end up learning a specific tool or tactic in a vacuum. They are missing the real-world applicability and collaboration that is critical to building impactful AI solutions in line with the organization’s strategy.

It’s an exciting time to be involved with analytics and AI. Much like the software boom of the early 90s, many organizations are approaching a new generation of technical capabilities, empowering teams and driving digital transformation in ways only previously imagined.

While there’s a handful of mature AI-centric companies in the market, most organizations seem to be lagging behind. The good news is that with this gap comes an influx of online educational opportunities for learning the necessary technical skills to build AI solutions. Options range from free educational content on video platforms like YouTube to massive open online courses (MOOCs) like Udemy or Coursera, which require a monthly fee. There are even long-term online bootcamps designed to help individuals change jobs and advance their data & analytics careers.

Although these options may refine the technical skills of individuals in data-centric roles, most miss the mark in teaching the skills necessary to successfully enable and scale AI across a broader organization.

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