In a time when the whole world is gripped in various waves of the pandemic, it becomes necessary to use the digital medium of learning for skill development. Digital learning platforms provide an alternative channel to access information and knowledge to gain the necessary skills. Although digital learning platforms are not any substitute to the traditional and orthodox mode of learning, they can be regarded as a supplement to the same. In fact, the traditional pedagogy is slowly imbibing the principles of digital learning so that education becomes much more indulging as well as immersive. With a variety of online learning modules and platforms available in the market, it is necessary to zero in on the best one. In this article, we look at the factors that you should consider while choosing the best digital learning platform for AI and ML.
Variety of courses offered
A digital learning platform should provide a variety of courses that match the demands of the student community. For instance, analytixlabs is one of the leading digital learning platforms that provide training in artificial intelligence, machine learning, business intelligence and the like. Analytixlabs student feedback is also very positive and the platform is highly recommended by the users as well as the peer groups. Needless to mention, a good variety in courses attracts students from a wide range of disciplines and enables them to choose a course as per their interest and liking.
Quality of content delivery
Quality of content delivery means that a digital medium should provide high quality content that is unique and tailor made to the needs of the students. This also means that the content should be derived from authentic sources and should be moulded according to the needs of the students. Quality of content delivery is always on the higher side if it has diversity and some kind of value addition. This value addition may be provided by the teachers by simplifying complex facts so that analytics and understanding becomes easier for the students.
Grievance redressal mechanism
A grievance redressal mechanism is designed to solve the doubts of the students and address the shortage that the students may face while interacting with the digital system. The grievance redressal mechanism is not only supported by trained professionals but also subject matter experts that help the students to cope up with new courses. A grievance redressal mechanism is one of the most distinguishing factors between different digital learning platforms as it determines the popularity of the platform among students as well as the peer groups. Analytixlabs features one of the best grievance redressal mechanisms that caters to the wide range of students and addresses their doubts.
The cost factor counts
The cost factor is extremely important and serves as one of the deciding factors by the students while choosing the digital learning platform. The cost factor varies according to the quality of content. The cost is usually supposed to increase if a student opts for state-of-the-art subjects like artificial intelligence, machine learning and business intelligence. These subjects not only provide digital skills to the students but also give them a bird’s eye view of the entire field. The information and knowledge that is provided through these digital learning platforms exactly justifies the cost of the course that a student chooses.
Hence, it is highly recommended to revisit and consider the above factors before making a final choice on the learning platform.