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Digital Readiness Certification Bundle

This bundle includes the following: Cloud Technology Associate Internet of Things Foundation Big Data Foundation Blockchain Foundation

Certificate Cloud Technology Associate|Internet of Things Foundation|Big Data Foundation|Blockchain Foundation
Duration 64
Delivery
Accreditor Cloud Credential Council
Exam Online

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900.00

Course Details

Course Information

Certificate: Cloud Technology Associate|Internet of Things Foundation|Big Data Foundation|Blockchain Foundation

Duration: 64

Domain: Emerging Technologies

Delivery Method:

Accreditation: Cloud Credential Council

Audience

  • IT Specialists (Analysts, Developers, Architects, Testing, etc.)
  • IT Administrators (System, Database, etc.)
  • IT Provisioning and Maintenance (Hardware, Network, Storage, etc.)
  • IT Managers
  • IT Project Managers
  • Application Consultant
  • Business Analyst
  • Business Process Architect
  • Developer
  • Developer Consultant
  • Enterprise Architect
  • Program / Project Manager
  • Solution Architect
  • System Administrator
  • System Architect
  • Technology Consultant
  • IoT Users
  • Software Engineers
  • Application Developers
  • IT architects
  • System administrators
  • Technology enthusiasts
  • Investment bankers and advisors
  • Consultants and service providers
  • Entrepreneurs interested in blockchain opportunities Supply chain managers
  • Corporate executives looking to connect corporate strategy to technology
  • CXO’s, board members, and business operation heads Government officials looking to better understand blockchain capabilities
  • IT architects, software engineers, programmers, and developers
  • Security professionals and administrators
  • Venture capitalists and investors
  • Others (Sales, Purchase, Audit, Legal, etc.)

Learning Objectives

Cloud Technology Associate

  • Identify the fundamental concepts of cloud computing and virtualization. This will also include business benefits of cloud computing and technical aspects (high-level) of virtualization.
  • Identify the technical challenges and the mitigation measures involved in cloud computing and virtualization.
  • Understand the latest digitization trends associated with cloud computing.
  • Define cloud security and identify the risks involved in cloud computing as well as the risk mitigation measures.
  • List the steps to successfully adopt cloud services.

Internet of Things Foundation

  • Define concepts and terminologies of IoT.
  • Examine new devices and interfaces that are driving IoT growth.
  • Relate to business perspectives of IoT (advantages of early adoption of IoT technologies).
  • Predict implications of IoT for your business.
  • Examine the role of enabling technologies for IoT, such as cloud computing and Big Data.
  • Identify security and governance issues with IoT.
  • Examine future growth opportunities of IoT in the coming years.

Big Data Foundation

  • Big Data fundamentals
  • Big Data technologies
  • Big Data governance
  • Available sources of Big Data
  • Data Mining, its concepts and some of the tools used for Data Mining
  • Hadoop, including its concepts, how to install and configure it, the concepts behind MapReduce, and how Hadoop can be used in real life scenarios
  • MongoDB, including its concepts, how to install and configure it, the concepts behind document databases and how MongoDB can be used in real life scenarios

Blockchain Foundation

  • Understand the history and origin of blockchain.
  • Explain the features and components of blockchain.
  • Identify and explain different types of blockchain.
  • Describe blockchain applications and uses cases.
  • Explain the working of blockchain technology.
  • Describe the concept of mining and how it is done.
  • Give an overview of crypto economics and crypto trading.
  • Enlist different types of cryptocurrencies.
  • Explain the concept of Bitcoin and Ethereum.
  • Explain Enterprise Ethereum Alliance and hyperledger.

Course Outline

Cloud Technology Associate

  • Module 1: Course Introduction
  • Module 2: Introduction to Cloud Services Model
  • Module 3: Introduction to Virtualization: The Backbone Technology of Cloud Computing
  • Module 4: The Role of Cloud and Other Technologies in Digital Transformation
  • Module 5: Cloud Security, Risk, Compliance and Governance
  • Module 6: Preparing for Cloud Adoption

Internet of Things Foundation

  • Module 1: Course Introduction
  • Module 2: Concepts and Terminologies
  • Module 3: Business Orientation
  • Module 4: Basic Building Blocks of IoT–Architecture
  • Module 5: Enabling Technologies of IoT + Lab Activities
  • Module 6: IoT Security and Top Governance Issues
  • Module 7: IoT Case Studies and Future Predictions

Big Data Foundation

  • Module 1: Course Introduction
  • Module 2: Big Data Fundamentals
  • Module 3: Big Data Sources
  • Module 4: Data Mining – Concepts and Tools
  • Module 5: Big Data Technologies – Hadoop
  • Module 6: Big Data Technologies – MongoDB

Blockchain Foundation

  • Module 1: Blockchain overview
  • Module 2: Applications and Uses of Blockchain
  • Module 3: Working of Blockchain Demystified
  • Module 4: Crypto Economics
  • Module 5: Blockchain Alliances
  • Module 6: Future of Blockchain

Exam Facts

Delivery: Online

Format: Closed Book

Proctoring: Web proctored

Duration: See individual products for the exam facts

Number of questions: 40 simple multiple choice

Pass grade: 65%