How to get started with an AI project — Background Here I am assuming that you have read my previous article on How to Learn AI. As a reminder, I highly recommend that you refer to more than one resource (other than documentation) when learning ML, preferably a textbook geared toward your learning level (beginner/intermediate / advanced). What is AI Engineering AI Engineering is…

Common mistakes and misconceptions about learning AI/ML — A common misconception of beginners is that they can learn AI/ML from a few tutorials that implement the latest algorithms, so I thought I would share some notes and advice on learning AI. …

AI projects are different from traditional software engineering projects — I am often asked by prospective clients to explain the artificial intelligence (AI) software process, and I have recently been asked by managers with extensive software development and data science experience who wanted to implement MLOps. This article is intended as an outline of the key differences rather than a…

A discussion of the ML process and workflow for MLOps — MLOps is a set of methods and techniques to deploy and maintain machine learning (ML) models in production reliably and efficiently. Thus, MLOps is the intersection of Machine Learning, DevOps, and Data Engineering (Figure 1).

A clear and concise description of the AI software engineering process AI is still considered a relatively new field, so there are really no guides or standards such as SWEBOK. In fact, AI/ML graduate textbooks do not provide a clear and consistent description of the AI software engineering process. …

Some recommended AI/ML learning resources Overview Choosing an AI/ML learning resource is primarliy a matter of personal preference. In general, I recommend that you refer to more than one resource (other than documentation) when learning AI. If you have an .edu email account you can get free access to oreilly.com which…