In the last two decades, Artificial Intelligence has steadily made its way into versatile industry applications. This has helped businesses reap major rewards by reducing operational costs, triggering efficiency, boosting revenue and improving the overall customer experience. With a constantly evolving range of technologies, efforts are on to develop AI to a stage where it reduces human intervention to the minimum. This is where the relevance of Machine Learning and Cloud comes in. As businesses transform the way in which they communicate, work and grow, the importance of Cloud in deploying Machine Learning models becomes important. Because of the massive storage and processing of data, Machine Learning often involves the application of computational power to train models because of the lack of strong machines. Thus, when Cloud is paired with ML models, it forms the Intelligent Cloud that becomes a suitable destination for any companys Machine Learning projects. The Cloud will enable ML data to make more accurate predictions and analyze data more efficiently, enhancing business value by a huge extent. With so many developments, any study of Machine Learning is incomplete without learning about its association with the Cloud.To help working professionals become a part of any companys end-to-end packaged ML solution, IIT Madras in collaboration with upGrad, has launched the ML and Cloud program. As one of Indias largest online education platforms, it recognizes the huge potential of taking Machine Learning to the Cloud, and how the first step to enable this is to train ML professionals in the right direction. Lets take a look at how upGrads ML program in Cloud will help professionals skill up in the foreseeable future.'; var randomNumber = Math.random(); var isIndia = (window.geoinfo && window.geoinfo.CountryCode === 'IN') && (window.location.href.indexOf('outsideindia') === -1 ); console.log(isIndia && randomNumber A revolutionary advanced certification course in Machine Learning and CloudIn the current business set up, data and insights can be termed as the true currency for business operation. This is why every organization is immensely scaling up its ML capabilities. upGrads Advanced Certification in Machine Learning and Cloud is helping learners become Machine Learning experts by training them to deploy machine learning models using PySpark on Cloud. This prestigious certification provides students with the opportunity to learn from a set of experienced Machine Learning faculty and industry leaders. Another highlight of this 9-month program is that it has about 300+ hiring partners, ensuring that professionals who choose to upskill with this course ends up in the industry of their choice.
The Advanced Certification in Machine Learning and Cloud by upGrad seeks to build employability of professionals and also boost up their annual packages. The requirement for ML professionals has now percolated to multiple industry domains like e-commerce, retail, healthcare, banking, manufacturing, transport, NBFC, and finance, among others. The course offers an equal opportunity to every learner, enhancing their relevance in the company they will work for. In Data and ML related hirings, recruiters look for people who are proficient and knowledgeable and can prove to be assets to employers in the company. This certification program by upGrad is an excellent opportunity to make a credible career transition. Considering ML is one of the fastest-growing fields in Data today, Machine Learning engineers are getting hired at astounding pay packages. In fact, an Indeed survey revealed that there has been more than a 300% spike in ML hirings since 2015. Considering this shift, upGrads Advanced Program in Machine Learning and Cloud is the best way to flag off ones ML journey.
Top skills that the program will offer Programming: Learners will be working in core and necessary languages like Python and SQL since the former is required for ML and the latter for the Cloud.
Machine learning concepts: The program is set to offer a holistic understanding of both basic and advanced subjects within ML. This includes the application of the appropriate ML algorithm to categorize unknown data or make predictions about it. Also included is the ability to modify and craft algorithms of your own should and when the need arises.
Foundations of Cloud and Hadoop: It also included knowledge about Hadoop, Hive, and HDFS along with the implementation of ML algorithms in the cloud on Spark/ PySpark (AWS/ Azure/ GCP). Overall, the curriculum is designed so that students learn the local Python implementation as well as the cloud PySpark implementation of classical machine learning algorithms.
Who should apply for this program?Keeping the overall market landscape in mind, this program by upGrad is ideal for the following categories:
The pedagogy and content of upGrads Advanced Program in Machine Learning and Cloud is a perfect integration of online lectures, offline engagement, practical case studies, and interactive networking sessions. The platform provides full support to young professionals in their ML journey by also catering to the needs of employers by training the future workforce in all data-related aspects. Whether it is resume feedback, mock interview sessions with industry experts, or conducting placement drives with top-notch companies, upGrad has provided it all to its learners. Many of these learners have also been placed at companies like KPMG, Uber, Big Basket, Bain & Co, Pwc, Zivame, Fractal Analytics, Microsoft etc. with impressive salary shifts.
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Looking for an impressive salary hike? Power up your career with upGrads Machine Learning and Cloud prog - Times of India
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