💡Ng Lists Key AI Dev Skills for 2023
AI dev skills shift with generative AI
TL;DR
Andrew Ng, Coursera founder, outlines key skills for AI development in 2023, emphasizing generative and agentic AI, software engineering, and business understanding. Over 10,000 job postings and interviews informed the list.
Andrew Ng, founder of Coursera, has released a list of essential skills for AI development in 2023, highlighting the shift towards generative and agentic AI. This update emphasizes the importance of understanding software engineering fundamentals, using coding agents, and shaping the build. The list, based on an analysis of over 10,000 job postings and interviews with AI experts, hiring managers, and recruiters, underscores the need for developers to move beyond traditional coding and focus on business context and customer goals. Key skills include building and deploying AI applications, understanding the building blocks of AI, and strong orchestration skills for enterprise environments. This is a must-read for anyone looking to stay ahead in the rapidly evolving field of AI.
Key Points
Andrew Ng's list includes building and deploying AI applications, understanding software engineering fundamentals, and using coding agents.
The analysis was based on over 10,000 job postings and interviews with AI experts, hiring managers, and recruiters.
Key skills include understanding the building blocks of AI, including LLMs, context engineering, RAG, and agentic workflows.
Engineers must understand the business problem, customer workflow, risk, compliance requirements, and the consequences of failure.
Strong orchestration skills are critical for moving AI into enterprise environments, coordinating models, tools, data, and evaluations.
Why It Matters
If you're building AI applications, Andrew Ng's list of essential skills is a must-read. It highlights the shift towards generative and agentic AI, emphasizing the importance of software engineering fundamentals, business understanding, and strong orchestration skills. For teams looking to move AI into enterprise environments, this list provides a clear roadmap of the skills needed to succeed.
Frequently Asked Questions
Why does this matter?
If you're building AI applications, Andrew Ng's list of essential skills is a must-read. It highlights the shift towards generative and agentic AI, emphasizing the importance of software engineering fundamentals, business understanding, and strong orchestration skills. For teams looking to move AI into enterprise environments, this list provides a clear roadmap of the skills needed to succeed.
What happened?
Andrew Ng, Coursera founder, outlines key skills for AI development in 2023, emphasizing generative and agentic AI, software engineering, and business understanding. Over 10,000 job postings and interviews informed the list.
Comments
Be the first to comment
Enjoyed this article?
Get it daily. 7am. Free. Reads in 5 minutes.
Join 3,320 builders reading daily.