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4 AI development skills you need, according to Andrew Ng - and what experts say he's missing

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Why This Matters

While Andrew Ng's list highlights critical technical skills for AI development, industry experts emphasize that understanding business contexts and risks is equally vital. This broader perspective ensures AI solutions are not only technically sound but also aligned with organizational goals and ethical considerations, making AI deployment more responsible and effective for consumers and businesses alike.

Key Takeaways

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ZDNET's key takeaways

Coursera founder Andrew Ng has listed key AI development skills.

Some industry experts suggest the list is too focused on building.

Engineers must also understand the business problem and risks.

Is it time to think outside the box for software engineering AI skills? One of the planet's most noted AI experts recently pinpointed the four most essential skill areas for those seeking careers in AI development. However, some industry observers say the recommendations don't go far enough, suggesting AI skills extend beyond engineering into other business-focused areas.

Also: 'Specialists aren't required' anymore: How to stay valuable in an AI agent workplace today

AI development essential skills

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