Cloud computing (komputasi awan) merupakan sebuah metode penyampaian layanan berbasis internet. Sumber daya yang termasuk dalam cloud computing yaitu penyimpanan data, jaringanm database, server, dan software. Saat ini cloud computing banyak diminati karena memiliki banyak keuntungan, diantaranya pamakaian lebih efektif dan efisien, lebih irit biaya, meningkatkan kecepatan, produktifitas dan kemananan yang lebih terjamin. Saat ini perusahaan lebih banyak menggunakan cloud computing dibandingkan penyimpanan manual.

This course provides introductory, non-technical coverage of Digital Transformation, Blockchain and Cybersecurity. The course content is intentionally limited to understanding the drivers, benefits, goals, risks and challenges of these technologies. This course is indented for non-technical managers and IT professionals that only require a general understanding of the topics.

Key Outcomes:
Students will be able to know:

This course provides introductory, non-technical coverage of Big Data, Machine Learning and Artificial Intelligence (AI). The course content is intentionally limited to understanding the drivers, benefits, goals, risks and challenges of these technologies. This course is indented for non-technical managers and IT professionals that only require a general understanding of the topics.

Key Outcomes:
Students will be able to know:

This course provides introductory, non-technical coverage of Cloud Computing, Robotic Process Automation (RPA) and the Internet of Things (IoT). The course content is intentionally limited to understanding the drivers, benefits, goals, risks and challenges of these technologies. This course is intended for non-technical managers and IT professionals that only require a general understanding of the topics.

Key Outcomes:
Students will be able to know:

This course module presents participants with a series of exercises and problems that are designed to test their ability to apply their knowledge of topics covered in previous courses. Completing this lab will further improve proficiency in AI systems, neural network architectures and related learning and functional practices and patterns, as they are applied and combined to solve a series of real-world problems.

This course covers a series of practices for preparing and working with data for training and running contemporary AI systems and neural networks. It further provides techniques for designing and optimizing neural networks, including approaches for measuring and tuning neural network model performance. The practices and techniques are documented as design patterns that can be applied individually or in different combinations to address a range of common AI system problems and requirements.

This course provides essential coverage of artificial intelligence and neural networks in easy-to-understand, plain English. The course provides concrete coverage of the primary parts of AI, including learning approaches, functional areas that AI systems are used for and a thorough introduction to neural networks, how they exist, how they work and how they can be used to process information.

Scrum Product Owner Professional Certificate SPOPCTM program to validate your knowledge about Scrum. Our examination is a multiple-choice online test and you can take it from your own PC from anywhere around the world. After the completion of the Product Owner Professional exam, you can expect to gain a general overview and understanding on how to maximize the value of the product and the work of the Development Team.