IBM Back-End Development Professional Certificate

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.

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. 

Learn Python - the most popular programming language and for Data Science and Software Development.

Apply Python programming logic Variables, Data Structures, Branching, Loops, Functions, Objects & Classes.

Demonstrate proficiency in using Python libraries such as Pandas & Numpy, and developing code using Jupyter Notebooks.

Access and web scrape data using APIs and Python libraries like Beautiful Soup.

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

Explain what a database is and create an entity relationship data model for a relational database.

Compose SQL queries to insert, select, update, and delete data in a database.

Use Django ORM to build object-oriented databases.

Integrate Bootstrap into your Django template and build interactive web pages.

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.

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.

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.

Explain the importance of monitoring and describe concepts like Golden Signals

Demonstrate your knowledge of observability with Instana and explain the pillars of observability, cloud native observability, and types of sampling

Implement logging and demonstrate your knowledge of telemetry using OpenTelemetry and tracing using Kubernetes

Develop hands-on experience with a variety of tools such as Prometheus, Grafana, Mezmo (LogDNA), OpenTelemetry, and Instana

Demonstrate proficiency to develop and deploy backend services and applications

Apply your back-end development skills to author microservices and REST APIs in Flask

Create and query databases like MongoDB and integrate with Django apps

Containerize microservices using Docker and deploy using Kubernetes, OpenShift and serverless