[AINews] Andrew Ng gets into AI Engineering
Andrew Ng relaunches DeepLearning.AI around AI Engineering, defining four core skills from an analysis of 10,000+ job postings and expert interviews.
Andrew Ng, cofounder of Google Brain and Coursera, relaunched DeepLearning.AI with a focus on AI Engineering, basing the curriculum direction on an analysis of over 10,000 job postings plus interviews and surveys. He identifies four key skills: building and deploying AI applications, software engineering fundamentals, effective use of coding agents, and shaping the build with product sense. The Latent Space AI News issue also recaps agent ecosystem developments, including NVIDIA's 'Skill Lift' evaluation proposal showing skill scan scores correlate only weakly (Spearman rho = 0.14) with judged quality, and Konwinski's open-source persistent-agent 'microharness' Headlong, which achieved an unattended self-debugging repair in 48 minutes.
- DeepLearning.AI relaunch targets AI engineering skills for the job market
- Four skills: building AI apps, software fundamentals, agentic coding, product sense
- NVIDIA research proposes 'Skill Lift' over structural skill scans (rho=0.14)
- Position paper argues harness choice can matter more than model choice for enterprises
- Headlong open-source microharness supports persistent, continuously thinking agents
- Vendors
- NVIDIA
- Products
- HeadlongCursorClaude CodeCodex
From the original article
13 min read at latent.space
We’ve lost count of how many adoption milestones have been passed since the original Rise of the AI Engineer post, but surely Andrew Ng, cofounder of Google Brain and Coursera among many other things, relaunching DeepLearning.
latent.space
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