There is no one-size-fits-all approach to learning about artificial intelligence. It will depend on your background, your current career, and your intention for learning (such as gaining a new skill set to expand your career options or becoming certified in an AI discipline). Developing a learning plan is the best way to begin your journey. It should include a tentative timeline and skill-building goals. Whether you choose to self-study by taking free courses and practicing on your own, or to participate in a structured learning program like a MOOC or graduate degree program, or an intensive bootcamp will also depend on how much time you have available to commit to the process.
How can I understand AI?
Once you have a firm grasp on the foundational knowledge of artificial intelligence, you can start to dive into more complex concepts. Creating Learn More about AI projects is a great way to practice the skills you have learned and showcase your knowledge of the field to potential employers. You can do this by choosing an industry-aligned project from the AI learning resources suggested in this article, or by joining a bootcamp and working on your own capstone project with dedicated mentorship.
It is also important to stay updated on the latest developments in the field. You can do this by following influential AI professionals on social media, reading AI research papers, and listening to AI podcasts like DataFramed. Attending AI events is another great way to learn more about the latest trends and to network with other people in the field.