The Best AI Books & Courses for Getting a Job
SMRTR summary
Egor Howell, a seasoned AI practitioner, has distilled four years of learning into a comprehensive guide for aspiring AI professionals. From Python programming to the intricacies of large language models, Howell's curated list of resources covers the gamut of AI education.
"If you want to work in AI, you must learn to program and have good software engineering skills," Howell advises. He recommends starting with Python, but notes that AI engineers may need to branch out to languages like Java or Rust.
Beyond coding, Howell emphasizes the importance of mathematics and statistics, machine learning fundamentals, and deep learning concepts. For those looking to break into the field, he suggests resources ranging from online courses to textbooks, with a focus on practical application.
"The real value comes from creating products from your AI models and knowledge," Howell concludes, highlighting the growing demand for AI engineers who can deploy and productize AI solutions.
SMRTR provides this summary for quick context. The original article belongs to Daily.dev.
Read the original article