Last updated on April 5th, 2024 at 10:28 am
The demand for Artificial Intelligence (AI) and machine learning professionals is increasing every day. This, in turn, has resulted in an increased demand for machine learning and AI courses that can help people enter this field. Naturally, there are now dozens of such courses available online and offline. Every course claims to be the best and promises to help us get a job in the industry. So, how do we choose the right course for our career?
Here are a few things to consider when choosing an Artificial Intelligence (AI) and machine learning course:
Course Content
When choosing a course, it is important to look at the content that is being offered. The course should cover all the essential topics related to AI and machine learning.
For example, the course should cover supervised and unsupervised learning, deep learning, natural language processing, etc. In addition to the essential topics, the course should also offer electives that we can choose based on our interests and career goals.
For instance, to become data scientists, we should look for a course that offers electives such as statistics, data mining, etc. Similarly, if our goal is to become a machine learning engineer, we should look for a course that offers electives such as big data and cloud computing.
Course Instructors
Another critical factor to consider is the instructors of the course. The instructors should be experts in the field with years of experience. They should be able to offer insights and real-world examples that can help us understand the concepts better.
In addition, the instructors should be available to answer our queries and help us with our assignments. They should be able to provide feedback on our work and help us improve.
Course Format
Nowadays, courses are offered online as well as offline formats. Choosing a course format that suits our learning style and schedule is important. Each of the formats has its own set of pros and cons.
An online course will be a better option if we look for a flexible learning schedule. On the other hand, an offline course would be a better option if we want a more structured learning environment.
Similarly, an online course would be a better option if we want to learn at our own pace. But, if we want a more structured experience, an offline course would be a better option.
Moreover, an offline course provides an opportunity for a face-to-face learning experience, while an online course removes all geographical barriers.
Placement Policies
Every student wants a course that will guarantee job assurance after completion. While no course can offer a 100% placement rate, a good course will have a strong track record.
The course should have a good network of alumni and industry connections. The course should also offer mock interviews, resume-building assistance, and so on to help us prepare for our job search.
Moreover, the course should offer a refund or a discount if we do not get a job within a certain period. This shows that the course is confident about its ability to help us get a job.
Reviews And Testimonials
The reviews and testimonials of past students can give us a good idea about the quality of the course. We can read the reviews on the course website, social media, and third-party websites. Looking at the positive and negative reviews is advisable to get a well-rounded view of the course.
However, we can't completely rely on online reviews as they can be biased. It is best to talk to people who have already completed the course and get their opinion. This will help us get an unbiased and honest opinion about the course.
The Fees And Payment Options
Finally, we should also consider the fees and payment options. The course should be affordable and should offer flexible payment options. In general, machine learning and AI courses are costly. However, there are a few courses that offer discounts and scholarships. We should look for such courses.
Moreover, certain courses offer EMI options to help us pay the fees in installments. Similarly, several courses offer pay-after-placement options. We should consider such options if we are worried about the fees.
Conclusion
We should consider these factors when choosing a machine learning or AI course. Keep these factors in mind and choose a course wisely. This will help us get the most out of our investment and set us up for a successful career in machine learning or AI.
If you are looking for a machine learning or AI course, you can check out the Certification in Artificial Intelligence & Machine Learning course offered by E&ICT Academy, IIT Guwahati. Some course highlights include Certification by IIT Guwahati, 8 hours/week of live sessions by academicians and industry experts, an industry-approved curriculum, and so on.
If you need support choosing the right course for your career, you can contact us through chat support or drive to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad.
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