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

The useful part

ZDNET's key takeaways Coursera founder Andrew Ng has listed key AI development 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.

How it works

• Still, "all developers — full-stack engineers, data engineers, DevOps engineers, machine learning engineers, and, yes, AI engineers — will need AI engineering skills," he explained.
• However, Ng received pushback that his skills-development recommendations needed to consider the bigger picture when introducing AI for problem-solving abilities.
• "Ng's taxonomy is entirely focused on 'Day 1' innovation — writing the code and getting the model to work.
• Engineers also need to understand the business problem, customer workflow, risk, compliance requirements, and the consequences of failure." Also:
• Such skills encompass "coordinating models, tools, data, evaluations, observability, human approvals, and fallback paths," said Sidana.

What to take from it

Too often AI-enabled engineers build production-grade software inside a bubble. Engineers must also understand the business problem and risks. Acquiring the right skills can be a confusing process in the hype-filled environment that has developed around AI.

Example or evidence

• He has authored numerous research reports in partnership with Forbes Insights and Unisphere Research, a division of Information Today, Inc.
• Some industry experts suggest the list is too focused on building.
• Instead, effective AI engineering requires having product sense and understanding business context and customer goals." Not enough on their own With the rise of generative, and now agentic, AI, the process...
• "Building an AI application is only one part of the challenge.

Details worth keeping

4 AI development skills you need, according to Andrew Ng. Is it time to think outside the box for software engineering AI skills? This is why people hate software engineers." Also:

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