This specialization equips learners with the essential skills to design, implement, and manage scalable data solutions using modern cloud technologies. Through three comprehensive courses, you’ll progress from foundational cloud computing concepts to advanced distributed systems and big data processing frameworks. You’ll begin by understanding cloud architecture, service models, and data infrastructure in Cloud Computing Fundamentals. Next, in Distributed Systems and Web Services, you’ll gain hands-on experience designing RESTful APIs, deploying containerized applications, and integrating virtualization technologies. Finally, in Big Data Processing with Hadoop and Spark, you’ll learn to manage large-scale data processing pipelines and real-time analytics using industry-standard tools. Designed for IT professionals, developers, and data practitioners, this course cluster bridges cloud engineering and data science, helping you build robust, data-driven applications that scale efficiently in the cloud.
What you'll learn
understand cloud architecture and service models
design and implement RESTful APIs
deploy containerized applications
manage large-scale data processing with Hadoop and Spark
conduct real-time analytics on big data
Course objectives
equip learners to design and implement scalable data solutions
bridge the gap between cloud engineering and data science