Take this series of courses to go from blockchain basics to developing
IoT supply chain applications for blockchain business networks.
Distributed systems built on Reactive Microservices introduce new
challenges and require new tools to meet those challenges. The Lightbend
Reactive Architecture: Advanced learning path teaches managers,
developers, and architects new techniques to help cope with the
realities of distributed architectures. You will learn how the Lightbend
Reactive Platform can be used to build the distributed systems of
After completing this learning path, you'll understand 12-factor apps
and how microservices are managed with the IBM Cloud Kubernetes Service
and Istio. You'll get hands-on experience working with containers,
Kubernetes, and how to deploy containerized apps. You'll learn how to
deploy microservices in a cluster and how to connect, manage, and secure
Learn how to code in Python for data science, then analyze and visualize
data with Python with packages like scikit-learn, matplotlib and bokeh.
This is an action-packed learning path for data science enthusiasts and
aspiring data scientists who want to learn data science hands-on with
Designing cloud-native systems and microservices requires architects and
teams to think differently. The Lightbend Reactive Architecture learning
path teaches development managers, architects, and software developers -
how to think about Reactive Systems from design through to production.
Through our guided lectures and labs, you'll first learn Neural
Networks, and an overview of Deep Learning, then get hands-on experience
using TensorFlow library to apply deep learning on different data types
to solve real world problems.
When a butterfly flaps its wings what happens? Does it fly away and move
on to another flower or is there a spike in the rotation of wind
turbines in the British Isles. Learn data science today and enter a
world where we work to create order out of chaos that will blow you
Are you interested in understanding 'Big Data' beyond the terms used in
headlines? Then select this learning path as an introduction to tools
like Apache Hadoop and Apache Spark Frameworks, which enable data to be
analyzed on mass, and start the journey towards your headline discovery.
To light a fire, do you use a match, a lighter, or a torch? Depends on
the size of the fire, much like the decisions that lead one to use
Python, R, or Scala. Spark your interest in selecting the tools you need
to tackle Big Data with ease, that will not just blow out.
Are you interested in moving beyond the elephant in the room and
understanding Hadoop as a foundational tool set in your future? Then
select this learning path to gain exposure to the tools used in Big
Data, Hadoop's core components and supporting open source projects.
Solid understanding and experience, with core tools, in any field
promotes excellence and innovation. Apache Spark, as a general engine
for large scale data processing, is such a tool within the big data
realm. This learning path addresses the fundamentals of this program's
design and its application in the everyday.