The Course intends to equip mid and senior managers with the relevant and requisite knowledge about Blockchain, one of the disruptive technologies today, and various known use….
Managing hospital growth involves unwavering focus on patient experience, requires thorough understanding of a hospital customer and how to customize and optimize hospital offerings….
An advanced postgraduate degree that focuses on the theoretical and practical parts of computer science is the Master of Science in Computer Science (M.Sc. Computer Science).
FinTech in India is a revolution underway with technology innovation, powering this growth. Realizing its potential, the Indian financial system has since embarked on a digital journey and…..
For those with a strong interest in physics, Bharathidasan University Distance Education’s B.Sc. Physics programme offers a thorough and adaptable academic platform.
Whether you have any technical / programming knowledge or not, this program is suitable to support non-tech professionals to become Blockchain Managers or Architects and tech professionals to become Blockchain Developers.
The Post Graduate Program in Blockchain Technology & Management (PGP-BTM) online course is an 8 months program that offers a technical and philosophical understanding of Blockchain technology, its vocabulary, consequences, and vulnerabilities. Students will gain deep learning of cryptocurrencies like Bitcoin and Ethereum
Pharmaceutical marketing, medical facilities, regulatory affairs, healthcare economics, healthcare policy, strategic management, finance, and leadership are just a few of the many topics….
Machine Learning algorithms are part of Artificial Intelligence (AI) that imitates the human learning process, which can be used for decision-making and problem-solving. ML algorithms are systems of problem-solving techniques that exhibit human-like learning capability.
Course duration includes 6 Months + Preparatory Session
Recommended learning efforts for the course is 7 – 10 hrs per week
The MSU distance learning platform offers a comprehensive and flexible Bachelor of Science (BSc) in Physics programme that aims to give students a strong foundation in the subject.
Artificial Intelligence, Machine Learning, Big Data and Natural Language Processing form the pillars of the emerging discipline of data science. Managers who lead data science teams are required to possess a sound understanding of the underlying technologies.
The core concepts of physics are the main emphasis of a thorough undergraduate degree called the Bachelor of Science in Physics (BSc. Physics). Students get a thorough
Digital and social media have transformed everything from conceptualizing to creating to communicating. Tesla spends next to nothing on advertising, unlike its rivals. Users and fans have built the Tesla brand. ITC’s Classmate allows the user to design a notebook cover of one’s choice. Snickers realized that hungry people make spelling mistakes while typing.
Three years of undergraduate study are dedicated to computer science and its applications in the Bachelor of Computer Applications (BCA) degree. It offers a thorough understanding of computer systems, database administration, programming languages, and software development. Students pursuing a BCA degree gain knowledge in software development and information technology system maintenance.
IIM Bangalore offers a Certificate Program in Artificial Intelligence and Machine Learning (AI/ML) for Business Excellence, which is designed to provide participants with a comprehensive….
An MBA in Artificial Intelligence and Machine Learning course teaches students how companies use AI and Machine Learning in Business Administration. There is a growing number of….
An advanced postgraduate degree that focuses on the theoretical and practical parts of computer science is the Master of Science in Computer Science (M.Sc. Computer Science).
A BSc in Physics is normally a three to four-year programme, depending on the country and the curricular structure of the university. The curriculum includes lectures, laboratory work, and homework.
Recommended learning efforts for the course is 7 – 10 hrs per week
Course duration includes 12 Months + Preparatory Session