Our Pharmacovigilance course trains healthcare professionals to handle critical drug safety data. This leads to the generation of high-quality, reliable, and safe drugs for patients. The course covers topics such as pharmacovigilance regulations, processes, documentation, AE/ADR classification, assessment, and reporting standards. Graduates can work in pharmaceutical, biotechnological, medical devices, cosmetics, natural health products, and allied industries

Our Clinical Data Management (CDM) program trains healthcare professionals to handle critical data in clinical research. This leads to the generation of high-quality, reliable, and statistically sound data from clinical trials. CDM courses cover topics such as data acquisition, data cleaning, and data analysis.

Our Bioinformatics diploma course trains healthcare professionals to handle critical biological data. This leads to the generation of high-quality, reliable, and statistically sound data from biological research. The course covers topics such as biological data management, database design, research methods, genomics, and project management. Graduates can work as bioinformatics technicians, scientists, researchers, database developers, and more.

Cloud Computing courses provide training in cloud computing technologies for IT professionals who want to improve their knowledge and skills in cloud computing. These courses cover the fundamental principles and methodologies of cloud computing, and prepare students for a career on the cutting edge of this field. Graduates can work in all types of cloud environments - public, private and hybrid clouds, and in all sectors of industry including cloud service providers, government, banking, commerce, enterprise, telecommunications, as well as small- and medium-size industries.

Our Big Data Analysis course trains healthcare professionals to handle critical data in various industries. This leads to the generation of high-quality, reliable, and statistically sound data from large datasets. The course covers topics such as data collection, processing, analysis, retrieval, mining, visualization, and prediction. Graduates can work in all types of cloud environments - public, private and hybrid clouds, and in all sectors of industry including cloud service providers, government, banking, commerce, enterprise, telecommunications, as well as small- and medium-size industries.

Data analytics in lifescience is transforming the life sciences industry by processing large volumes of complex data and producing in-depth insights, thereby improving the overall ROI for precision medicine and clinical trials1. Life sciences companies have advanced databases and technologies to manage and mine data and even do analysis; Graduates of our Big Data Analysis course can work in all types of lifescience labs generating and processing data.

Digital Marketing courses provide training in digital marketing technologies for IT professionals who want to improve their knowledge and skills in digital marketing. These courses cover the fundamental principles and methodologies of digital marketing, and prepare students for a career on the cutting edge of this field. Graduates can work in all types of digital marketing environments - social media, web design, content creation, e-commerce, and more.