As the field of AI Engineering continues to expand, numerous resources have emerged online to cater to this growing discipline. There are several that I’ve found particularly insightful and want to share with those looking to delve into this burgeoning field.
Two data scientists on YouTube have been producing exemplary content that showcases the tools and techniques vital to this discipline.
- The first is James Briggs, a developer advocate at Pinecone. He offers a series of 20-30 minute videos predominantly focusing on the OpenAI API and its integration with the widely-used open-source framework, LangChain. Recently, he has begun exploring additional topics such as the integration of open-source models and the development of AI agents.
- The second, Greg Kamradt from Data Independent, addresses many of the same topics as Briggs. Greg complements most of his videos with a Python notebook, simplifying the process of following along.
A recent course introduced on DeepLearning.AI primarily focuses on the steps that constitute a typical AI project lifecycle. This course is designed for developers aiming to incorporate models into their applications to create novel experiences, making it an ideal resource for aspiring AI Engineers.
If you’re looking to delve deeper into the foundations of deep learning and large language models, Fast.AI offers a comprehensive Practical Deep Learning for Coders course that delves into everything from neural net foundations to random forests and collaborative filtering. While I haven’t completed the entire course, I can vouch for its depth and breadth. If you’re aiming to elevate your theoretical knowledge, it’s an excellent place to start.
Microsoft also provides an AI Engineering certificate through their Azure AI certification program. Alongside the certificate, they’ve curated a helpful list of learning materials explaining how to provision and manage Azure Cognitive Services, process and translate speech, and more.
These are the key resources I’ve discovered so far, and I will continue to share more as I come across them. If you have any you’d like to share, please feel free to email me at ryan@spellbooks.ai.