Our Courses

Test and Behavior Driven Development (TDD/BDD)

This course provides the fundamentals of Test Driven Development (TDD) and Behavior Driven Development (BDD), and why it’s essential for building quality applications and preventing bugs, reducing development costs and improving performance.

• Course by
• Self Paced
• 21
• English

Application Security for Developers

Learn to identify security vulnerabilities in applications and implement secure code practices to prevent events like data breaches and leaks. Become familiar with DevSecOps practices, and SAST for identifying security flaws.

• Course by
• Self Paced
• 4
• English

Cloud Application Developer Capstone

In this project you will sharpen your new full stack cloud application development skills. You will use modern tools and technologies to create a working cloud ecosystem. You will design and develop a comprehensive solution that reflects your mastery of key cloud native computing concepts and capabilities.

• Course by
• Self Paced
• 15
• English

Software Engineering Basics for Everyone

Build the foundation for an in-demand Software Engineering related career. Explore fundamental software engineering principles, processes, architecture, tools, and stacks. Hear from software experts discuss what it takes to be successful.

• Course by
• Self Paced
• 13
• English

Data Analytics Basics for Everyone

Learn the fundamentals of Data Analytics and gain an understanding of the data ecosystem, the process and lifecycle of data analytics, career opportunities, and the different learning paths you can take to be a Data Analyst.

• Course by
• Self Paced
• 20
• English

Analyzing Data with Python

In this course, you will learn how to analyze data in Python using multi-dimensional arrays in numpy, manipulate DataFrames in pandas, use SciPy library of mathematical routines, and perform machine learning using scikit-learn!

• Course by
• 15
• English

Analyzing Data with Excel

Build the fundamental knowledge required to use Excel spreadsheets to perform basic data analysis. The course covers the basic workings and key features of Excel to help students analyze their data.

• Course by
• Self Paced
• 5
• English

Analyzing Data with R

R is the key that opens the door between the problems you want to solve with data and the answers you need. This course walks you through the process of answering questions through data.

• Course by
• Self Paced
• 15
• English

Data Engineering Basics for Everyone

Learn about data engineering concepts, ecosystem, and lifecycle. Also learn about the systems, processes, and tools you need as a Data Engineer in order to gather, transform, load, process, query, and manage data so that it can be leveraged by data consumers for operations, and decision-making.

• Course by
• Self Paced
• 15
• English

Introduction to SQL

Learn how to use and apply the powerful language of SQL to better communicate and extract data from databases - a must for anyone working in Data Engineering, Data Analytics or Data Science.

• Course by
• Self Paced
• 15
• English

SQL for Data Science

• Course by
• Self Paced
• 27
• English

Relational Database Administration (DBA)

• Course by
• Self Paced
• 35
• English

SQL Concepts for Data Engineers

In this short course you will learn additional SQL concepts such as views, stored procedures, transactions and joins.

• Course by
• Self Paced
• 15
• English

Data Engineering Capstone Project

• Course by
• Self Paced
• 6
• English

Deep Learning Fundamentals with Keras

New to deep learning? Start with this course, that will not only introduce you to the field of deep learning but give you the opportunity to build your first deep learning model using thepopular Keras library.

• Course by
• Self Paced
• 30
• English

Deep Learning with Python and PyTorch

This course is the second part of a two-part course on how to develop Deep Learning models using Pytorch.

• Course by
• Self Paced
• 72
• English

Deep Learning with Tensorflow

Much of theworld's data is unstructured. Think images, sound, and textual data. Learn how to apply Deep Learning with TensorFlow to this type of data to solve real-world problems.

• Course by
• Self Paced
• English

Introduction to Data Science

• Course by
• Self Paced
• 33
• English

The Data Science Method

Learn about the methodology, practices and requirements behind data science to better understand how to problem solve with data and ensure data is relevant and properly manipulated to address a variety of real-world projects and business scenarios.

• Course by
• Self Paced
• English

Data Science Tools

Learn about the most popular data science tools, including how to use them and what their features are.

• Course by
• Self Paced
• 7
• English

Visualizing Data with Python

Data visualization is the graphical representation of data in order to interactively and efficiently convey insights to clients, customers, and stakeholders in general.

• Course by
• Self Paced
• 28
• English

Data Visualization and Building Dashboards with Excel and Cognos

Build the fundamental knowledge necessary to use Excel and IBM Cognos Analytics to create data visualizations and to create dashboards containing those visualizations to help tell a lucid story about data.

• Course by
• 28
• English

Introduction to IBM z/OS Mainframe

This is your introduction to the hardware, operating systems, security, and features that make this possible. On successful completion of this course, learners are eligible to earn their Introduction to Enterprise Computing badge.

• Course by
• Self Paced
• 21
• English

Fundamentals of C++

Think like a developer and learn the basics of foundational C++ programming with auto evaluated hands-on labs.

• Course by
• Self Paced
• 8
• English

SRE Fundamentals and Security

Learn foundational principles and terminology needed to understand the new and growing discipline of Site Reliability Engineering. Explore operation strategies and best practices for monitoring and managing services health and security.

• Course by
• Self Paced
• 24
• English