Prepare For a Career as a DevOps & Software Engineer

Introduction to DevOps

• The essential characteristics of DevOps including building a culture of shared responsibility, transparency, and embracing failure.
• The importance of Continuous Integration and Continuous Delivery, Infrastructure as Code, Test Driven Development, Behavior Driven Development.
• Essential DevOps concepts: software engineering practices, cloud native microservices, automated continuous deployments, and building resilient code.
• The organizational impact of DevOps, including breaking down silos, working in cross functional teams, and sharing responsibilities.

Introduction to Cloud Computing

• Define cloud computing and explain essential characteristics, history, the business case for cloud, and the emerging technologies enabled by cloud.
• Describe the cloud service models- IaaS, PaaS, SaaS, and cloud deployment models- Public, Private, Hybrid; explain cloud infrastructure components.
• Explain emerging Cloud related trends including HybridMulticloud, Microservices, Serverless, Cloud Native, DevOps, and Application Modernization.
• List and describe services of popular cloud platforms including AWS, Microsoft Azure, Google Cloud, IBM Cloud, Alibaba Cloud, and others.

Introduction to Agile Development and Scrum

• Adopt the 5 practices of Agile, a subset of DevOps: small batches, minimum viable product, pair programming, behavior- and test-driven development.
• Write good user stories, estimate and assign story points and track stories using a kanban board. Incorporate Scrum artifacts, events, and benefits.
• Create and refine a product backlog using the sprint planning process. Produce potentially shippable product increments with every iteration.
• Create burndown charts to forecast the ability to meet a sprint goal. Use metrics to enhance performance, productivity, and client satisfaction.

Introducing to Software Engineering

• Describe software engineering, Software Development Lifecycle (SDLC), and software development tools, technologies and stacks.
• List different types of programming languages and create basic programming constructs such as loops and conditions using Python.
• Outline approaches to application architecture and design, patterns, and deployment architectures.
• Summarize the skills required in software engineering and describe the career options it provides.

Hands-on Introduction to Linux Commands and Shell Scripting

• Describe the Linux architecture and common Linux distributions and update and install software on a Linux system.
• Perform common informational, file, content, navigational, compression, and networking commands in Bash shell.
• Develop shell scripts using Linux commands, environment variables, pipes, and filters.
• Schedule cron jobs in Linux with crontab and explain the cron syntax.

Getting Started with Git and GitHub

• Describe version control and its place in social and collaborative coding and in DevOps.
• Explain basic Git concepts such as repositories and branches used for distributed version control and social coding.
• Create GitHub repositories and branches, and perform pull requests (PRs) and merge operations, to collaborate on a team project.
• Build your portfolio by creating and sharing an open-source project on GitHub.

Python for Data Science, AI & Development 

• Describe Python Basics including Data Types, Expressions, Variables, and Data Structures.
• Apply Python programming logic using Branching, Loops, Functions, Objects & Classes.
• Demonstrate proficiency in using Python libraries such as Pandas, Numpy, and Beautiful Soup.
• Access web data using APIs and web scraping from Python in Jupyter Notebooks.

Developing AI Applications with Python and Flask

• Describe the steps and processes involved in creating a Python application including the application development lifecycle.
• Create Python modules, run unit tests, and package applications while ensuring the PEP8 coding best practices.
• Explain the features of Flask and deploy applications on the web using the Flask framework.
• Create and deploy an AI-based application onto a web server using IBM Watson AI Libraries and Flask.

Introduction to Containers w/ Docker, Kubernetes & OpenShift

• Using containers, learn how to move applications quickly across any environment.
• Build cloud native applications using Docker, Kubernetes, OpenShift, and Istio.
• Describe and leverage Kubernetes architecture to set up and use an entire lifecycle-based container management system.
• Create and leverage a YAML deployment file to configure and create resources such as pods, services, replicasets, and others in a declarative way.

Application Development using Microservices and Serverless

• Summarize the fundamentals of Microservices, their advantages, and contrast with monolithic architectures.
• Create REST API endpoints and invoke them using cURL and Postman; Use SwaggerUI to document and test APIs.
• Create, and deploy microservices using Docker containers and serverless technologies like IBM Code Engine.
• Practice hands-on with labs and projects using a no-charge cloud-based environment.

Introduction to Test Driven Development (TDD)

• Explain the importance of testing.
• Describe test-driven development (TDD) and explain its benefits for DevOps.
• Develop unit tests with test assertions and test fixtures and then run the tests
• mprove unit testing through advanced TDD methods including coverage reports, factories, fakes, and mock objects

Continuous Integration and Continuous Delivery (CI/CD)

• Explain Infrastructure as Code, describe tools used, and create Infrastructure as Code scripts using Terraform.
• Describe cloud platforms and automation, and automatic CI/CD tasks using Jenkins and GitHub.
• Define Continuous Integration (CI) and list some examples of tools used for CI.
• Describe the process of Continuous Development (CD), run test cases, and deploy to cloud using tools including Chef and Puppet.

Application Security and Monitoring

• Explain security by design, learn to develop applications using security by design principles; perform defensive coding following OWASP principles.
• Describe IBM cloud container vulnerability; perform vulnerability scanning and pen testing with Kali Linux.
• Describe what to look for in app performance; perform troubleshooting using logging, stack trace, and log analytics.
• Discuss concepts like Golden Signals; list tools for monitoring and troubleshooting; and test monitoring in action with Prometheus and Grafana.

MODULE 14

DevOps Capstone Project

• Identify user requirements, write user stories, create and execute sprint plans.
• Build an application composed of several microservices and employ containers and serverless for running apps in Cloud.
• Develop test cases and test your app during various stages of its lifecycle; utilize CI/CD tools to update and deploy your app.
• List several next steps for starting or enhancing your career as a DevOps professional.