Chapter 8: What to do Next

This chapter, we will discuss various options for further learning in the field of AI. It is emphasized the importance of building sustainable learning habits and exploring different learning platforms. It is recommended to start reading books such as "Rise of the Robots," "Master Algorithm," and "2nd Machine Age" to gain a better understanding of the field's impact and importance.

For those looking to become more adept in AI, there are two specific books that are suggested to read: "Machine Learning" and "Deep Learning." The former, from MIT's Essential Learning series, provides a concise introduction to machine learning concepts. The latter book delves into the forefront of AI and gradually familiarizes readers with advanced topics.

Regarding courses, you should look into them as they are an excellent way to develop expertise in AI. Local options at community colleges, universities, or bootcamps are recommended for their access to mentors and in-person reinforcement. It is also advised to explore online platforms such as Coursera and Udacity, which offer courses and specialized programs. You can also consider trying specializations like Python for Everybody, Data Science, and Applied Data Science with Python on Coursera. Udacity's Learn to Code nanodegree and Data Foundations nanodegree are also mentioned as good starting points.

In addition to individual courses, you can look into the availability of online master's degree programs, particularly Georgia Tech's Master's Degree in Computer Science through Udacity. While AI certifications are not widely established, there is a need for such certifications and anyone interested in AI should provide information or express interest in their development.

Overall, this chapter emphasizes the importance of continuous learning, exploring various formats, and considering structured courses or programs to gain expertise in AI. I am excited and optimistic for the future of AI.

Reference - Surfing the Tsunami