Data Executive Series: Cloud computing for Business

In this comprehensive course on Cloud Computing, you will embark on a journey to explore the world of cloud technology and its profound impact on modern business and industry. Starting with Module 1, we will provide you with a solid foundation, delving into the basics of cloud computing, its revolutionary impact, essential characteristics, and the key players in the cloud service provider landscape. As you progress to Module 2, you will discover the compelling business case for cloud adoption and how it benefits small businesses. Additionally, you will explore emerging technologies such as Artificial Intelligence (AI), Internet of Things (IoT), Blockchain, and Analytics, all made possible by the cloud.

We will also takes a deeper dive into the components of cloud computing, exploring service models, deployment models, and the advantages of cloud technology for business growth. Gain a comprehensive understanding of cloud infrastructure and its various facets. Finally, in Module 4, you'll explore the fascinating intersection of cloud computing with big data and AI. Discover how cloud technology is instrumental in handling vast amounts of data and facilitating AI-driven innovations. Explore real-world industrial use cases and understand the pivotal role of cloud computing in Industry 4.0.

Throughout this course, you will not only grasp the theoretical foundations of cloud computing but also gain practical insights into its application across various domains. By the end of the course, you will be well-equipped to harness the power of cloud technology to drive innovation and growth in your organization.

Upon completion of this course, learners will be able to: 

1. Understand the core concepts of cloud computing, including its essential characteristics and key service providers, enabling you to make informed decisions about cloud adoption.
2. Evaluate the business case for cloud computing and its specific benefits for small businesses, recognizing opportunities for cost savings and scalability.
3. Explore emerging technologies such as AI, IoT, Blockchain, and Analytics, and understand how they are enabled and enhanced by cloud infrastructure.
4. Identify the different service models and deployment models in cloud computing and appreciate how cloud technology can drive business growth.

1. IT professionals seeking to enhance their knowledge of cloud computing.
2. Small business owners and entrepreneurs interested in leveraging the cloud for cost-effective and scalable solutions.
3. Data scientists and analysts aiming to harness cloud resources for big data and AI projects.
4. Managers and decision-makers looking to understand the business benefits of cloud adoption.
5. Students and individuals interested in pursuing a career in cloud technology and emerging technologies.

Dwight Fonseka graduated with a degree in Biotechnology (from NUS in 2001), Advanced diploma in Pharmaceutical management (from MDIS in 2007) and Masters in Education (from NTU in 2013). In 2014, Dwight ventured into Data Analytics and Database Management and picked up Statistics/Machine Learning, Big Data analytics, text mining & social media analytics and web applications. His other expertise includes data science programming languages such as R and Python. He is also deeply passionate in deep learning using sequential models and sequence to sequence models using Keras and h2oAI machine & deep learning platforms and libraries. He is also a Senior Data Analyst, where he performs data analytics and create predictive models using healthcare data.