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Our Courses
Machine Learning Implementation and Operations in AWS
Machine Learning Implementation Operations in AWS is the fifth Course in the AWS Certified Machine Learning Specialty specialization. The course has a major focus on designing and implementing machine learning solutions for performance, availability, scalability, resiliency, and fault tolerance. This course is divided into two modules and each module is further segmented by Lessons and Video Lectures. This course facilitates learners with approximately 1:00-1:30 Hours Video lectures that provide both Theory and Hands -On knowledge.
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Course by
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Self Paced
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6 hours
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English
Guided Project: Get Started with IBM Db2 on Cloud
Develop fundamental database skills, including table creation, loading data, and writing queries using IBM Db2 on Cloud. Explore Db2 on Cloud scalability, availability, and ease-of-use and gain job-ready skills with this hour-long, hands-on guided project.
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Course by
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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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Course by
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Self Paced
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18 hours
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English
Building Cloud Services with the Java Spring Framework
This MOOC describes by example how to build cloud services via the use of object-oriented design techniques; Java programming language features; Java Servlets, the Java Spring Framework; and cloud computing platforms, such as Amazon Web Services. Due to the importance of building secure and scalable mobile/cloud platforms, this MOOC will not only show you how to build cloud services, but how to do so securely, scalably, and efficiently.
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Course by
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Self Paced
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14 hours
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English
Entrepreneurship II: Preparing for Launch
This course builds on previous concepts and outlines strategies and tactics for forming, financing, and launching a new venture. Topics to be addressed will include building the new venture’s initial management team, identifying and reaching out to early customers, developing financial plans, raising startup and initial growth financing, and preparing for and managing rapid growth.
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Course by
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Self Paced
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17 hours
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English
Cloud Computing Concepts, Part 1
Cloud computing systems today, whether open-source or used inside companies, are built using a common set of core techniques, algorithms, and design philosophies – all centered around distributed systems. Learn about such fundamental distributed computing "concepts" for cloud computing. Some of these concepts include: clouds, MapReduce, key-value/NoSQL stores, classical distributed algorithms, widely-used distributed algorithms, scalability, trending areas, and much, much more! Know how these systems work from the inside out.
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Course by
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Self Paced
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23 hours
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English
Advanced Machine Learning and Signal Processing
>>> By enrolling in this course you agree to the End User License Agreement as set out in the FAQ. Once enrolled you can access the license in the Resources area <<<\n\nThis course, Advanced Machine Learning and Signal Processing, is part of the IBM Advanced Data Science Specialization which IBM is currently creating and gives you easy access to the invaluable insights into Supervised and Unsupervised Machine Learning Models used by experts in many field relevant disciplines.
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Course by
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28 hours
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English
Cloud Computing Concepts: Part 2
Cloud computing systems today, whether open-source or used inside companies, are built using a common set of core techniques, algorithms, and design philosophies – all centered around distributed systems. Learn about such fundamental distributed computing "concepts" for cloud computing. Some of these concepts include: clouds, MapReduce, key-value/NoSQL stores, classical distributed algorithms, widely-used distributed algorithms, scalability, trending areas, and much, much more! Know how these systems work from the inside out.
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Course by
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Self Paced
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20 hours
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English