Cloud: Platform as a Service - Master's from Coursera

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Syllabus

Module 1: Introduction to Platform as a Service (PaaS)

Welcome to Introduction to Platform as a Service (PaaS)! In Module 1, we will define the PaaS and differentiate it from all other cloud services. We will also define scope and boundaries of platform as a service which will guide us for topics covered in rest of the modules of the course. The benefits of using PaaS and recognize the limitations are discussed in this module. Students will also compare, contrast, and understand the best fit for PaaS to help make informed decisions for selecting appropriate cloud implementation strategy. Students will explore various PaaS offerings from various vendors for making the best choice decisions for solving business problems. Finally, students will explore several ways to manage PaaS offering.

Module 2: Containers and Containerization Services Platform

In this module we will explore and understand the concepts related to containerization. We will compare containers with virtual machines and learn the benefits of using containers in cloud environments. Building blocks and innerworkings of container infrastructure will be explored. Furthermore, we will compare the benefits and limitations of various containerization strategies for effective decision making. To experience containerization operation, we will also create and run a container using Docker on AWS and discuss advanced concepts for containerization management. Finally, we will discuss operational management challenges and discuss effective release and deployment strategies.

Module 3: Serverless Computing Platforms

In this module we will explore and understand the challenges with containerization and applicability of serverless and microservices approaches. We will discuss the benefits and limitations of using Serverless Computing Platforms in cloud environments. We will further explore the building blocks and innerworkings of Serverless Infrastructure. Furthermore, we will discuss the process of developing and deploying Serverless Solutions. To experience Serverless Platform operation, we will also create a Serverless Platform and run a Serverless Function on AWS Lambda. Finally, we will discuss advanced concepts for effective and efficient operating and management of Serverless Computing Environment.

Module 4: Information Management Platforms as a Service

This module delves into the complexities and solutions for managing databases in the cloud platform for handling and processing large datasets, with the focus on design consideration and implementation of scalable DBMS Platform. Through the series of lessons, students will explore challenges and considerations associated with handling large datasets and learn how Platform as a Service can facilitate the storage and processing of data with built-in scalability and high availability features. Students will gain insights into relational and non-relational database use cases and selection criteria for advanced functionality based on the needs.

Module 5: Development and Deployment Management Platforms

This module provides a comprehensive exploration of DevOps principles and practices within the context of Platform as a Service (PaaS). Starting with the basics of Development and Deployment concepts and approaches. Students will learn about the methodologies and cultural philosophies that drive efficient application development and deployment. The module then delves into the advantages of adopting a DevOps culture and how PaaS can streamline and enhance the DevOps lifecycle, from continuous integration to continuous delivery. Finally, Students will learn about API and API management methods in the cloud. By understanding the architecture of development and deployment pipelines facilitated by PaaS providers, students will be equipped to design and implement efficient, scalable, and reliable software delivery processes.

Module 6: Machine Learning Platforms

This module serves as a comprehensive guide to understanding and applying machine learning (ML) concepts, processes, and platforms. Starting with the basics of artificial intelligence and machine learning, students will learn how prediction and decision-making algorithms are implemented in the cloud platforms as a service. Additionally, students will become familiarized with commonly used machine learning platforms and learn how to deploy, operate, and optimize ML models effectively. By covering the challenges and limitations of machine learning, this module aims to equip learners with the skills needed to navigate the ML landscape confidently. Whether for forecasting, recognition systems, or decision-making processes, students will leave with a solid foundation in managing and implementing machine learning solutions across various applications.

Module 7: Security Services Platforms

This module introduces students to the critical concepts of cloud security, emphasizing the shared responsibility model that delineates the security obligations of cloud providers and users. Learners will explore common threats and vulnerabilities specific to cloud environments and analyze the security features and controls offered by Platform as a Service (PaaS) solutions. This module culminates with practical lessons on architecting and implementing robust security measures for IAM, Network and Data security using Security as a Platform (SaaP). Finally, students will also learn about Audit and security Monitoring Platforms empowering students to design comprehensive security solutions for cloud-based systems.

Module 8: Designing and Implementing Cloud Platforms for High Level of Operational Maturity

This module focuses on the principles and practices necessary for creating cloud platforms that exhibit high reliability, scalability, operational maturity, and content delivery. Beginning with architecting auto-scaling solutions, students will learn to enhance application performance dynamically. The module progresses to cover high-availability and load balancing methods for various computing and data management platforms ensuring that students are equipped with best known methods for implementing high-performing scalable and reliable cloud platforms. A critical look at cost-effectiveness teaches strategies for efficient cloud resource utilization. Lastly, the module anticipates the future of Platform as a Service (PaaS) by exploring its secured content delivery network platforms preparing students to adapt to and capitalize on emerging trends in cloud platform development.

Summative Course Assessment

This module contains the summative course assessment that has been designed to evaluate your understanding of the course material and assess your ability to apply the knowledge you have acquired throughout the course.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores concepts related to containerization, providing a solid foundation for understanding how to work with containers in cloud environments

Provides hands-on experience in creating and running containers using Docker on AWS, giving learners practical skills in containerization operation

Covers the benefits and limitations of various containerization strategies, enabling learners to make informed decisions when working with containers

Examines the challenges and considerations associated with handling large datasets, providing insights for designing scalable DBMS platforms

Introduces students to the critical concepts of cloud security, emphasizing the shared responsibility model and common threats and vulnerabilities specific to cloud environments

Provides a comprehensive guide to understanding and applying machine learning concepts, processes, and platforms, equipping learners with the skills needed to navigate the ML landscape confidently

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Cloud: Platform as a Service - Master's with these activities:

Read 'Platform as a Service for Dummies'

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Provides a thorough overview of the concepts and benefits of using PaaS for cloud deployments.

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Read chapters 1-3 to gain a solid understanding of PaaS concepts.
Complete the practice exercises at the end of each chapter to reinforce your learning.

Review fundamental concepts of cloud computing before taking the course

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Ensures a strong foundation in cloud computing concepts, which are essential for understanding PaaS.

Browse courses on Cloud Computing

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Review articles, books, or online resources on cloud computing.
Focus on understanding concepts such as cloud service models, cloud deployment models, and cloud security.
Complete practice questions or quizzes to test your understanding.

Review PaaS fundamentals

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Refresh your understanding of the core concepts of PaaS to set a strong foundation for the course.

Browse courses on Platform as a Service

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Review the course introduction
Consult online resources or textbooks on PaaS
Create a mind map to summarize key concepts

Nine other activities

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Practice writing Python scripts for cloud platform automation before taking the course

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Strengthens your Python scripting skills, which are useful for automating tasks in cloud platforms.

Browse courses on Python

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Review Python syntax and basic data structures.
Practice writing Python scripts for common cloud tasks, such as creating virtual machines, managing databases, and deploying applications.
Run your scripts and troubleshoot any errors.

Participate in online study groups or forums

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Provides opportunities to interact with peers, share knowledge, and clarify concepts.

Browse courses on PaaS

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Join online study groups or forums related to PaaS and cloud platforms.
Participate in discussions by asking questions, sharing insights, and providing feedback.
Collaborate with peers on projects or assignments.

Create a study guide summarizing course materials

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Helps you organize and reinforce your understanding of the course content.

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Review your notes, assignments, and quizzes.
Identify key concepts and topics.
Summarize the material in a clear and concise manner.
Organize the study guide into sections and subsections.
Review and revise the study guide regularly.

Follow tutorials on AWS PaaS services

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Practical experience with deploying and managing PaaS applications on AWS.

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Visit the AWS PaaS documentation
Follow the step-by-step tutorials for deploying and managing PaaS applications
Experiment with the sample applications and configurations provided in the tutorials

Explore PaaS offerings from major providers

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Get hands-on experience with different PaaS offerings and compare their features by following guided tutorials.

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Identify major PaaS providers (e.g., AWS, Azure, GCP)
Choose a tutorial for each provider and work through it
Create a table comparing the features and benefits of each offering

Attend a PaaS meetup or conference

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Connect with industry professionals, learn from real-world experiences, and expand your knowledge of PaaS.

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Search for PaaS meetups or conferences in your area
Register and attend the event
Network with attendees and speakers

Practice deploying and managing containers

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Solidify your understanding of container deployment and management through practical exercises.

Browse courses on Containers

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Set up a Docker environment
Create and run a container using Docker
Explore Docker commands for managing containers
Configure and deploy a containerized application

Develop a whitepaper on serverless computing

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Deepen your understanding of serverless computing by researching and synthesizing information in a whitepaper.

Browse courses on Serverless Computing

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Research serverless computing concepts and best practices
Identify key benefits and limitations of serverless architectures
Discuss use cases and industry applications
Write and edit a comprehensive whitepaper

Practice deploying PaaS applications using Docker and Kubernetes

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Enhances your hands-on skills in deploying and managing PaaS applications using industry-standard tools.

Browse courses on Docker

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Install Docker and Kubernetes on your local machine.
Create a simple PaaS application and containerize it using Docker.
Deploy the containerized application to Kubernetes and manage its resources.
Troubleshoot any issues and optimize the deployment process.

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Learners who complete Cloud: Platform as a Service - Master's will develop knowledge and skills that may be useful to these careers:

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Platform as a Service - Master's

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