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Introduction to Apache Spark Essentials (TTSK7502)

30 Lessons
16 hours
Intermediate

Course Description Learn the essentials of using Spark for your …

What you'll learn
The essentials of Spark architecture and applications
How to execute Spark Programs
How to create and manipulate both RDDs (Resilient Distributed Datasets) and UDFs (Unified Data Frames)
How Spark core components come together for complete applications

Introduction to Hadoop Administration (TTDS6503)

40 Lessons
24 hours
Intermediate

Course Description Learn how to install, maintain, monitor, troubleshoot, optimize, …

What you'll learn
Understand the benefits of distributed computing
Understand the Hadoop architecture (including HDFS and MapReduce)
Define administrator participation in Big Data projects
Plan, implement, and maintain Hadoop clusters
Deploy and maintain additional Big Data tools (Pig, Hive, Flume, etc.)
Plan, deploy and maintain HBase on a Hadoop cluster
Monitor and maintain hundreds of servers
Pinpoint performance bottlenecks and fix them

Big Data Fundamentals

57 Lessons
16 hours
Intermediate

Learn the benefits of big data and the underlying technologies, …

What you'll learn
Navigate the technology stacks and tools used to work with big data
Establish a common vocabulary on your teams for applying big data practices
Get an overview of how big data technologies work: Apache Hadoop, Spark, Pig, Hive, Sqoop, OOZIE, and FLUME
Design both functional and non-functional requirements for working with big data
Understand common business cases for big data
Differentiate between hype and what’s truly possible
Look at examples of real-world big data use cases
Select initiatives and projects that have high potential to benefit from big data applications
Understand what type of staffing, technical skills, and training is required for projects that incorporate or focus on big data

Blockchain Architecture Training

60 Lessons
24 hours
Intermediate

Course Description: Learn about Blockchain and the architectural and technical …

What you'll learn
What is Blockchain
How does Blockchain work
Types of Blockchains
How is Blockchain different from what we have today
What are use cases for Blockchain
What does a Blockchain app look like
How do I design a Blockchain app
How do I develop a Blockchain app
How do I test a Blockchain app

Ethereum Developer Blockchain Training

93 Lessons
24 hours
Intermediate

Learn about using Ethereum to develop your public Blockchain solution. …

What you'll learn
Blockchain and smart contract basics
Smart contract programming basics
Understanding decentralized information and Web3
Basics of Ethereum and the EVM
Advanced Solidity: modifiers, mapping, structs, and inheritance
Understanding deployment and costs
Mining, Proof of Work versus Proof of Authority
Current problems, solutions, outlook, and serenity
Working in teams, testing and versioning
IPFS and distributed file-storage

Developing on Hyperledger Fabric Blockchain

17 Lessons
16 hours
Intermediate

Course Description: Learn how to use Hyperledger Fabric to develop …

What you'll learn
Understand why Blockchain is needed and where
Explore the major Blockchain components
Learn about Hyperledger Fabric and the structure of the Hyperledger Architecture
Lean the features of the Fabric model including chaincode, SDKs, Ledger, Security, and Membership Services
Perform comprehensive labs on writing chaincode
Explore the architecture of Hyperledger Fabric
Understand and perform in depth labs on Bootstrapping the Network
Perform comprehensive labs to integrate/develop an application with Hyperledger Fabric running a smart contract
Build applications on Hyperledger Fabric

IoT and Blockchain

26 Lessons
8 hours
Intermediate

Course Description: Learn how blockchain holds the potential to securely …

Implementing Big Data & AI for Business Professionals (TTML5501)

8 hours
Intermediate

AI in Business Seminar Series: Explore How AI & Machine …

What you'll learn
Learn which data is most useful to collect now and why it’s important to start collecting that data as soon as possible
Understand the intersection between big data, data science and AI (Machine Learning / Deep Learning) and how they can help you reach your business goals and gain a competitive advantage.
Understand the factors that go into choosing a Data Science system, including whether to go with a cloud-based solution
Explore common tools and technologies to aid in making informed decisions
Gain the skills required to build your DS/ AI team