Artificial intelligence (AI) has been changing the way many industries work by making it easy for them to automate tasks, analyze data, and improve stakeholder experience. This is why AI is among the most sought-after career fields today, and both students and professionals are enrolling in courses to learn about AI and get better career opportunities. But with many online platforms and universities offering AI courses, choosing the right one requires careful consideration.

1. Assess current knowledge
Considering one’s existing knowledge and skills can help one determine the appropriate course level for one’s learning journey. If one has no prior knowledge of the field, one can start with a beginner course that offers an introduction to AI. Such introductory courses can cover theoretical concepts like what programming languages are and how machine learning works. Alternatively, those who have some knowledge of the subject can look for advanced courses that delve deeper into AI and offer some practical experience to explore AI’s real-world applications. Such courses may also offer the chance to participate in projects and hands-on research.

2. Set goals
After assessing existing skills and knowledge, one can set defined learning goals. A clear idea of what one wants to gain from the course will help one choose the right option. So, before signing up for an AI course, one should determine whether they are trying to learn the fundamentals, gain expertise in machine learning, understand applications of AI in certain fields, or engage in AI-related research. Goals could also be developing key skills like programming, machine learning, or deep learning. Understanding desirable outcomes can help one choose a course that aligns with these objectives.

3. Check curriculum
The content and structure of a course determine its value. So, going through the content will help one narrow down courses that will cover things one wants to learn and those that can help one get better opportunities. One should also choose courses with at least one module (even if tiny) covering the fundamentals of AI. This can help one start with the basics and then move on to other concepts. Course modules should also cover topics and activities to explore deep learning, machine learning, coding, math and algorithms, and different computer programming languages.

4. Review instructor profile
The instructor also plays an important role in determining the value of the course. Choosing a course conducted by an experienced instructor can help one be assured of a fruitful learning experience. So, one should look for courses taught by leading researchers, AI professionals, or experienced professors with a strong background in teaching or working with AI. One should also thoroughly review the credentials and student reviews about the instructor. If the instructors have published in the past, one should also check the papers to gauge their expertise. This way, one can know what to expect from the course.

5. Choose a suitable format
Today, various educational formats exist, including virtual, in-person group sessions, classroom-based learning, and hybrid models. In-person and classroom-based courses can be preferable for those who thrive in group settings. That said, traditional classrooms are no longer the only option, so one can also consider virtual options. This allows them to acquire new skills and learn from anywhere in the world. Additionally, online AI courses are often self-paced, allowing one to complete the course whenever they find the time. This is especially helpful for professionals who want to enroll in a course without quitting work. So, one can choose from different course formats based on their needs and preferences.

6. Consider prestige
While many AI courses are available today, not all are offered by prestigious institutes. If one wants the course to not just educate them but also boost their profile, one should choose a program associated with recognized institutes. Certain accredited programs can look great on the CV, as these courses often have more rigorous standards and are more widely accepted by employers. By checking these details beforehand, one can go for prestigious options that are more likely to give their career a boost. Additionally, before signing up for a course, it is best to confirm if one will get a certification of completion at the end of the program. This certificate will act as proof of knowledge.

Options to consider
Today, popular online learning platforms like Coursera, Udemy, and edX offer a variety of AI courses for all kinds of learners.

• IBM’s Introduction to Artificial Intelligence on Coursera
• Google Cloud’s Introduction to Generative AI on Coursera
• DeepLearning.ai’s AI for Everyone
• University of Pennsylvania’s AI for Business Specialization