IBM
Applied Software Engineering Fundamentals Specialization

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IBM

Applied Software Engineering Fundamentals Specialization

Build the foundation of your career in Software. Develop hands-on experience with Git, GitHub, Linux, and Python, and learn the fundamentals of Software Engineering.

Abhishek Gagneja
Joseph Santarcangelo
Rav Ahuja

Instructors: Abhishek Gagneja

9,414 already enrolled

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Get in-depth knowledge of a subject
4.7

(454 reviews)

Beginner level

Recommended experience

Flexible schedule
2 months, 10 hours a week
Learn at your own pace
Build toward a degree
Get in-depth knowledge of a subject
4.7

(454 reviews)

Beginner level

Recommended experience

Flexible schedule
2 months, 10 hours a week
Learn at your own pace
Build toward a degree

What you'll learn

  • Describe software development and related technologies; outline approaches to deployment architectures; and summarize career options in the field. 

  • Explain the role of version control and collaborative coding in SDLC & DevOps; Create GitHub repositories and use branching with Git commands.

  • List and execute commonly used Linux commands, utilize pipes and redirection, create simple shell scripts using BASH, schedule jobs using Cron. 

  • Create, package, and deploy Python applications using knowledge of programming constructs, libraries, APIs and web services. 

Details to know

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Taught in English

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Specialization - 5 course series

Introduction to Software Engineering

Course 114 hours4.7 (2,039 ratings)

What you'll learn

  • 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.

Skills you'll gain

Category: Python Programming
Category: Application development
Category: Web Application
Category: Flask
Category: Artificial Intelligence (AI)

Getting Started with Git and GitHub

Course 210 hours4.6 (1,436 ratings)

What you'll learn

  • 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.

Skills you'll gain

Category: Shell Script
Category: Bash (Unix Shell)
Category: Extract Transform and Load (ETL)
Category: Linux
Category: Linux Commands

Hands-on Introduction to Linux Commands and Shell Scripting

Course 314 hours4.7 (1,359 ratings)

What you'll learn

  • 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. 

Skills you'll gain

Category: Data Science
Category: Data Analysis
Category: Python Programming
Category: Numpy
Category: Pandas

Python for Data Science, AI & Development

Course 425 hours4.6 (38,613 ratings)

What you'll learn

  • 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.

Skills you'll gain

Category: Distributed Version Control Systems (DVCS)
Category: Git (Software)
Category: Github
Category: open source
Category: Cloning and forking

Developing AI Applications with Python and Flask

Course 511 hours4.4 (827 ratings)

What you'll learn

  • 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

Skills you'll gain

Category: Software Engineering
Category: Software Architecture
Category: Python Programming
Category: Agile and Scrum
Category: Software Development Lifecycle (SDLC)

Instructors

Abhishek Gagneja
IBM
5 Courses146,869 learners
Joseph Santarcangelo
IBM
33 Courses1,654,142 learners

Offered by

IBM

Build toward a degree

When you complete this Specialization, you may be able to have your learning recognized for credit if you are admitted and enroll in one of the following online degree programs.¹

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