Our Courses

Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud

Welcome to the Cloud Computing Applications course, the second part of a two-course series designed to give you a comprehensive view on the world of Cloud Computing and Big Data! In this second course we continue Cloud Computing Applications by exploring how the Cloud opens up data analytics of huge volumes of data that are static or streamed at high velocity and represent an enormous variety of information. Cloud applications and data analytics represent a disruptive change in the ways that society is informed by, and uses information.

• Course by
• Self Paced
• 20 hours
• English

Exploratory Data Analysis for Machine Learning

This first course in the IBM Machine Learning Professional Certificate introduces you to Machine Learning and the content of the professional certificate. In this course you will realize the importance of good, quality data.

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• Self Paced
• 14 hours
• English

Introduction to NoSQL Databases

Get started with NoSQL Databases with this beginner-friendly introductory course! This course will provide technical, hands-on knowledge of NoSQL databases and Database-as-a-Service (DaaS) offerings. With the advent of Big Data and agile development methodologies, NoSQL databases have gained a lot of relevance in the database landscape. Their main advantage is the ability to handle scalability and flexibility issues modern applications raise.

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• Self Paced
• 18 hours
• English

Introduction to Data Engineering

Start your journey in one of the fastest growing professions today with this beginner-friendly Data Engineering course! You will be introduced to the core concepts, processes, and tools you need to know in order to get a foundational knowledge of data engineering. as well as the roles that Data Engineers, Data Scientists, and Data Analysts play in the ecosystem. You will begin this course by understanding what is data engineering as well as the roles that Data Engineers, Data Scientists, and Data Analysts play in this exciting field.

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• Self Paced
• 13 hours
• English

Relational database systems

Welcome to the specialization course Relational Database Systems. This course will be completed on six weeks, it will be supported with videos and various documents that will allow you to learn in a very simple way how several types of information systems and databases are available to solve different problems and needs of the companies.

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• Self Paced
• 15 hours
• English

NoSQL, Big Data, and Spark Foundations

Big Data Engineers and professionals with NoSQL skills are highly sought after in the data management industry. This Specialization is designed for those seeking to develop fundamental skills for working with Big Data, Apache Spark, and NoSQL databases.

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• Self Paced
• English

Datos no tradicionales en repositorios NoSQL

El curso Datos no tradicionales en repositorios NoSQL busca que identifiques consideraciones fundamentales para la implementación de una solución basada en información usando tecnologías NoSQL, los criterios para la selección y configuración de las herramientas, teniendo presente las necesidades de la aplicación y la diversidad de aproximaciones al modelaje de información semiestructurada y no estructurada. El curso está dirigido a personas con conocimientos básicos en manejo de herramientas computacionales y programación en al menos uno de estos lenguajes (Python, Java). 

• Course by
• Self Paced
• 16 hours
• Spanish

Bigtable: Qwik Start - Command Line

This is a self-paced lab that takes place in the Google Cloud console. Cloud Bigtable is Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail. In this lab you'll use Bigtable with the cbt command line. Watch the short videos Bigtable: Qwik Start - Qwiklabs Preview and Handle Massive Worklo…

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• Self Paced
• 1 hour
• English

Implement Polyglot Persistence Using SQL and NoSQL Databases

Have you ever wondered what happens to the registration details after you click on the submit button or to the order details once you press the confirm order button when you try to access any website? From where do you think, the details of the product catalogue are fetched to be displayed on the browser? All dynamic or interactive applications should be able to store the details provided by the user and retrieve them when requested. Most websites require a database.

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• Self Paced
• 13 hours
• English

Getting Started with Apache Cassandra

The “Getting Started with Cassandra” course is designed to help you gain knowledge of the Cassandra database system. You will learn architecture as well as how to design, build and use Cassandra databases. This training course helps you develop your skills and knowledge in Cassandra. Cassandra is a NoSQL database that has the traits of a distributed, open-source, and decentralized database or storage system. It can support the management of excessively massive amounts of structured data without a single point of failure, thereby resulting in the provision of highly available services.

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• Self Paced
• 8 hours
• English

Developing Cloud Native Applications

Do you want to learn about developing applications that are cloud native right from conception to implementation? In this course, you’ll begin with some crucial cloud concepts such as Cloud Native Applications, CNCF and Hybrid Cloud. You will dive into specific tools and techniques for developing cloud native apps. You’ll then learn how to use CLI to develop, test and deploy applications for IBM Cloud with the use of Node.js . You will further use DevOps to maintain application development using Web IDE features, Git repository and Delivery Pipeline.

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• Self Paced
• 18 hours
• English

Data Manipulation at Scale: Systems and Algorithms

Data analysis has replaced data acquisition as the bottleneck to evidence-based decision making --- we are drowning in it. Extracting knowledge from large, heterogeneous, and noisy datasets requires not only powerful computing resources, but the programming abstractions to use them effectively.

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• Self Paced
• 20 hours
• English

Create Your First NoSQL Database with MongoDB and Compass

In this Guided Project you will create a MongoDB database and collection to store blog posts, and optimize it using indexes, while having an overview of some of the basic commands, in order to learn the basics of NoSQL document databases structure, the MongoDB shell and the usage of the powerful MongoDB Compass GUI to manage, inspect and optimize a MongoDB database.

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• Self Paced
• 2 hours
• English

NoSQL systems

Welcome to the specialization course of NoSQL Systems. This course will be completed on six weeks, it will be supported with videos and exercises that will allow you to identify the differences between the relational and NoSQL databases. As part of these alternative technologies the student will learn the main characteristics and how to implement the typical NoSQL databases, such as Key-value, columnar, document and graph.

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• Self Paced
• 9 hours
• English

Working with Amazon DynamoDB using Python & Boto3

In this 2-hours long project, we will look at how to work with DynamoDB, a fully managed NoSQL Database provided by Amazon Web Services (AWS) using Python & Boto3.

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• Self Paced
• 3 hours
• English

IBM Data Engineering

Prepare for a career in the high-growth field of data engineering. In this program, you’ll learn in-demand skills like Python, SQL, and Databases to get job-ready in less than 5 months. Data engineering is building systems to gather data, process and organize raw data into usable information.

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• Self Paced
• English

Data Engineering Capstone Project

Showcase your skills in this Data Engineering project! In this course you will apply a variety of data engineering skills and techniques you have learned as part of the previous courses in the IBM Data Engineering Professional Certificate. You will demonstrate your knowledge of Data Engineering by assuming the role of a Junior Data Engineer who has recently joined an organization and be presented with a real-world use case that requires architecting and implementing a data analytics platform. In this Capstone project you will complete numerous hands-on labs.

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• 13 hours
• English

PostgreSQL for Everybody

Across these four courses, you’ll learn how to use the PostgreSQL database and explore topics ranging from database design to database architecture and deployment. You’ll also compare and contrast SQL and NoSQL approaches to database design. The skills in this course will be useful to learners doing data mining or application development.

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• Self Paced
• English

Database Architecture, Scale, and NoSQL with Elasticsearch

In this fourth and final course in PostgreSQL for Everybody, learners will explore database architectures, CRUD operations and how ACID requirements are implemented in PostgreSQL. Learners will compare how to scale SQL and NoSQL database services and build NoSQL applications using ElasticSearch.

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• Self Paced
• English

Database systems

This specialized program is aimed at computer people who want to enter the field of information systems and learn their different types of requirements, architectures, performance, techniques and tools so you can know when to use business intelligence, data mining, data science, databases , databases in memory or big data in order to have reliable, maintainable and scalable data intensive systems.

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• Self Paced
• English

Data Science at Scale

Learn scalable data management, evaluate big data technologies, and design effective visualizations. This Specialization covers intermediate topics in data science. You will gain hands-on experience with scalable SQL and NoSQL data management solutions, data mining algorithms, and practical statistical and machine learning concepts. You will also learn to visualize data and communicate results, and you’ll explore legal and ethical issues that arise in working with big data.

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• Self Paced
• English

Database Architecture, Scale, and NoSQL with Elasticsearch

In this final course, you will explore database architecture, PostgreSQL, and various scalable deployment configurations. You will see how PostgreSQL implements basic CRUD operations and indexes, and review how transactions and the ACID (Atomicity, Consistency, Isolation, Durability) requirements are implemented. You’ll learn to use Elasticsearch NoSQL, which is a common NoSQL database and a supplement to a relational database to high-speed search and indexing.

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• Self Paced
• 10 hours
• English

IBM Full Stack Software Developer

Prepare for a career in the high-growth field of software development. In this program, you’ll learn in-demand skills and tools for front-end, back-end, and cloud native application development to get job-ready in less than 4 months. Full stack refers to the end-to-end computer system application, including the front end and back end coding. Cloud native development refers to developing a program designed to work on cloud architecture. The flexibility and adaptability that full stack and cloud native developers provide make them highly sought after in this digital world.

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• Self Paced
• English

Guided Project: Get Started with Cloudant NoSQL Database

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• Self Paced
• English

Data Engineering Capstone Project

This Capstone Project is designed for you to apply and demonstrate your Data Engineering skills and knowledge in SQL, NoSQL, RDBMS, Bash, Python, ETL, Data Warehousing, BI tools and Big Data.

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• 6
• English