Mastering Platform as a Service: Advanced Cloud Computing
Comprehensive PaaS course covering containerization, serverless computing, database management, DevOps, machine learning, and cloud security.
Comprehensive PaaS course covering containerization, serverless computing, database management, DevOps, machine learning, and cloud security.
This advanced course provides a comprehensive exploration of Platform as a Service (PaaS) in cloud computing. It covers a wide range of topics essential for managing and deploying cloud-based technologies. Students will learn about containerization, serverless computing, database management platforms, development and deployment management, machine learning platforms, and cloud security services. The course emphasizes practical skills, with hands-on experience in creating and managing various cloud services. Topics include Docker containerization, AWS Lambda for serverless computing, cloud-based database design and deployment, DevOps practices, API management, machine learning model deployment, and implementing robust security measures. The course also covers advanced concepts such as high availability, disaster recovery, and content delivery networks. Designed for IT professionals and cloud architects, this course equips students with the knowledge and skills to design, implement, and manage sophisticated cloud platforms.
Instructors:
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What you'll learn
Create, deploy, operate, and communicate strategies for cloud-based technology platforms
Implement and manage containerization services using Docker
Design and deploy serverless computing solutions
Develop and manage cloud-based database systems
Implement DevOps practices and continuous integration/delivery pipelines
Deploy and manage machine learning models in the cloud
Skills you'll gain
This course includes:
656 Minutes PreRecorded video
49 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 9 modules in this course
This comprehensive course on Platform as a Service (PaaS) covers the full spectrum of cloud computing technologies and practices. It begins with an introduction to PaaS concepts and progresses through advanced topics in cloud architecture and management. Students will gain in-depth knowledge of containerization and Docker, serverless computing with platforms like AWS Lambda, and cloud-based database management systems. The course also delves into DevOps practices, emphasizing continuous integration and delivery pipelines. Machine learning platforms in the cloud are explored, teaching students how to deploy and manage ML models effectively. A significant portion of the course is dedicated to cloud security, covering identity and access management, network security, and data protection strategies. The curriculum culminates with advanced topics in designing highly available, scalable, and operationally mature cloud platforms, including disaster recovery and content delivery networks. Throughout the course, students engage in practical assignments and labs, ensuring they can apply theoretical knowledge to real-world scenarios.
Introduction to Platform as a Service (PaaS)
Module 1 · 9 Hours to complete
Containers and Containerization Services Platform
Module 2 · 7 Hours to complete
Serverless Computing Platforms
Module 3 · 6 Hours to complete
Information Management Platforms as a Service
Module 4 · 8 Hours to complete
Development and Deployment Management Platforms
Module 5 · 7 Hours to complete
Machine Learning Platforms
Module 6 · 6 Hours to complete
Security Services Platforms
Module 7 · 7 Hours to complete
Designing and Implementing Cloud Platforms for High Level of Operational Maturity
Module 8 · 6 Hours to complete
Summative Course Assessment
Module 9 · 3 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructor
Adjunct Industry Associate Professor, Information Technology and Management
Dr. Patel is a seasoned Cyber / Information Security professional with over 23 years of experience in safeguarding the Availability, Confidentiality, and Integrity of information assets. He currently serves as an Information Security Officer, where he leads information security and risk management efforts. Dr. Patel’s responsibilities include overseeing the executive risk management function, identifying and evaluating risks, and driving the implementation of solutions to mitigate security exposure. He achieves this through continuous research into the latest security vulnerabilities, threats, capabilities, and mitigation techniques.
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Frequently asked questions
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