AI and Machine Learning
May 24, 2021
Artificial Intelligence (AI)/Machine Learning (ML) has reached a tipping point in the last two-three years. While the conceptual work on these areas may have started many years back, these technologies’ commercial and application dimensions have manifested in a big way only recently. No wonder there is so much interest in this field.
Artificial Intelligence is redefining business models and customer experiences in a variety of industries. Thanks to the use of these forces, almost every industry – from banking to retail, from healthcare to oil exploration, from manufacturing to utilities – is experiencing a paradigm shift. The AI as a service market size is growing to be as big as $10.88 billion by 2023. This would expand further demand for the AI talent pool.
A massive AI push translates into a lot of demand for skilled AI and ML professionals. Yes, many courses and institutes have also mushroomed all over to fill the demand-supply gap as quickly as possible. If you aspire to leverage opportunities in this booming industry, you can join any of these courses. Wait! ‘Any’ of these courses? Or does it have to be well-considered and carefully weighed in choice?
Institute you choose will have a profound impact on your skill’s quality and shelf-life. This would matter a lot considering some specific dimensions relevant to a technology area like AI and ML.
Look out for courses where the curriculum is designed with a conceptual but contemporary framework. The linkages to academic veterans and industry practitioners are available in a balanced way.
That will allow you to learn AI with a long-term and responsible perspective.
TalentSprint
TalentSprint is a leading deep-tech education company. It partners with esteemed academic institutions and global corporations to offer advanced learning programs in deep-tech, management, and emerging technologies. Known for its high-impact programs co-created with think tanks and experts, TalentSprint blends academic expertise with practical industry experience.