The DevOps course develops skills in DevOps practices, processes, metrics and models. This course can be used to prepare for the DevOps Specialist Certification exam.

The Blockchain Architecture course develops skills in Blockchain functions, architectural models, technology and security. This course can be used to prepare for the Blockchain Architect Certification exam.

The IoT Architecture course develops skills in Internet of Things (IoT) technology and architecture, along with proficiency in radio protocols, telemetry messaging and IoT architecture layers. This course can be used to prepare for the IoT Architect Certification exam.

The Digital Business Technology course provides easy-to-understand, fundamental coverage of a broad range of contemporary IT technologies and associated IT practices. Coverage is intentionally non-technical and limited to explaining the strategic purpose and significance of each technology as it may relate to an organization’s business operations. Topics include Digital Transformation Solutions, Artificial Intelligence (AI), Robotic Process Automation (RPA), Cloud Computing, Blockchain, Internet of Things (IoT), Machine Learning, Big Data and Cybersecurity. This course can be used to prepare for the Digital Business Technology Professional Certification exam.

The Containerization Architecture course develops skills in containerization technology and architecture, along with proficiency in assessing, designing and securing highly available container-hosted services and solutions. This course can be used to prepare for the Containerization Architect Certification exam.

The Digital Transformation course provides a clear understanding of Digital Transformation from both business and technical perspectives and further develop fundamental skills in Digital Transformation practices and technologies. This course can be used to prepare for the Digital Transformation Specialist Certification exam.

The Digital Transformation: Fundamental Technology course provides essential coverage of primary Digital Transformation technologies and develop skills associated with their application. This course can be used to prepare for the Digital Transformation Technology Professional Certification exam.

The Digital Transformation: Advanced Technology & Architecture course drills-down into the technology architecture and inner workings of primary Digital Transformation technologies and develop skills associated with their application. This course can be used to prepare for the Digital Transformation Technology Architect Certification exam.

The Digital Transformation: Fundamental Data Science course provides comprehensive coverage of contemporary data science and analysis practices and technology essential to Digital Transformation. This course can be used to prepare for the Digital Transformation Data Science Professional Certification exam.

The Digital Transformation: Advanced Data Science course delves into the practical application of contemporary data science techniques and algorithms. This course can be used to prepare for the Digital Transformation Data Scientist Certification exam.

The Digital Transformation: Fundamental Security course provides in-depth coverage of security concepts, technologies and practices essential to Digital Transformation. This course can be used to prepare for the Digital Transformation Security Professional Certification exam.

The Digital Transformation: Advanced Security course covers advanced Cybersecurity and Blockchain topics essential to building contemporary Digital Transformation solutions. This course can be used to prepare for the Digital Transformation Security Specialist Certification exam.

The Fundamental SOA Design with Services & Microservices course establishes an essential understanding of the technologies and concepts associated with designing and composing API-driven services and microservices, as well as models and characteristics of service-oriented architecture. This course can be used to prepare for the SOA Professional Certification exam.

The SOA Analysis & Modeling with Services & Microservices course provides in-depth coverage of service and API modeling for microservices and other types of services, include the modeling of complex service compositions and service inventory blueprints. This course can be used to prepare for the SOA Analyst Certification exam.

The SOA Design & Architecture with Services & Microservices course provides in-depth coverage of service-oriented technology and application architecture models, design patterns and integration techniques. This course can be used to prepare for the SOA Architect Certification exam.

The Microservice Design & Architecture course provides comprehensive coverage of microservice technology architecture models and design practices, as well as associated containerization technology components and design approaches. This course can be used to prepare for the Microservice Architect Certification exam.

The Microservice Professional Consulting course provides a cross-section of topic coverage that includes microservice application architecture, containerization, service API design and management, and security technology and practices relevant to microservices. This course can be used to prepare for the Microservice Consultant Certification exam.

The Service API Design & Management course provides comprehensive coverage of API design techniques, coupling and granularity considerations, and API management practices including API versioning. Also covered are serialization protocols, as well as topics pertaining to REST and RPC protocols. This course can be used to prepare for the Service API Specialist Certification exam.

The Service Governance & Project Delivery course provides end-to-end coverage of service technology project delivery stages and SOA governance phases, along with numerous associated precepts, processes and roles. This course can be used to prepare for the Service Governance Specialist Certification exam.

The Security for Microservices & SOA course provides in-depth coverage of industry technologies, practices and controls used to secure microservice-based applications and other types of service-oriented solutions and counter common security threats. This course can be used to prepare for the Service Security Specialist Certification exam.

The Cloud Computing Concepts & Technology course develops knowledge and skills in Cloud Computing concepts, industry technologies, mechanisms and cloud delivery and deployment models. Also covered are business metrics, SLAs and topics pertaining to cloud security. This course can be used to prepare for the Cloud Technology Professional Certification exam.

The Cloud Computing Professional Consulting course covers fundamental cloud technology architecture models and design practices, as well as essential cloud security threats, controls and counter-measures. This course can be used to prepare for the Cloud Computing Consultant Certification exam.

The Cloud Architecture course provides comprehensive coverage of design techniques, technology architecture models, design patterns and mechanisms associated with building cloud-based environments and solutions. This course can be used to prepare for the Cloud Architect Certification exam.

The Cloud Security course provides comprehensive coverage of security controls, mechanisms and architecture models, as well as techniques and practices for responding to security threats. This course can be used to prepare for the Cloud Security Specialist Certification exam.

The Cloud Governance course provides comprehensive coverage of precepts, processes and roles that pertain to the governance of cloud-based environments, resources and solutions and that further develop skills in establishing a custom cloud governance framework. This course can be used to prepare for the Cloud Governance Specialist Certification exam.

The Cloud Storage course covers cloud storage devices and mechanisms, as well as cloud storage architectures and solutions. This course can be used to prepare for the Cloud Storage Specialist Certification exam.

The Cloud Virtualization course covers industry virtualization technology models and mechanisms for building cloud-based virtualization environments and solutions. This course can be used to prepare for the Cloud Virtualization Specialist Certification exam.

The Essential Big Data & Data Science course provides comprehensive coverage of data science and big data fundamentals, as well as introductory coverage of big data analytics. This course can be used to prepare for the Big Data Professional Certification exam.

The Big Data Analytics & Fundamental Data Science course develops skills in Big Data analytics and analysis, as well as data science fundamentals. This course can be used to prepare for the Big Data Science Professional Certification exam.

The Big Data Analysis & Advanced Data Science course provides comprehensive coverage of contemporary Big Data analysis and analytics practices and advanced data science techniques and processes. This course can be used to prepare for the Big Data Scientist Certification exam.

The Data Science Professional Consulting course provides comprehensive coverage of contemporary Big Data analysis and analytics practices and advanced data science techniques and processes. This course can be used to prepare for the Data Science Consultant Certification exam.

The Machine Learning course develops skills in Machine Learning practices, models and algorithms, as well as Machine Learning systems that can perform a range of data analysis processing tasks. This course can be used to prepare for the Machine Learning Specialist Certification exam.

The Artificial Intelligence course is comprised of three modules that introduce AI concepts and common applications, and then provide essential coverage of AI practices, models and systems, as well as coverage of neural networks. This course encompasses fundamental and advanced topics and has no prerequisites.

The Big Data Engineering course covers essential practices for designing, configuring and utilizing Big Data solutions, including Big Data storage environments, pipelines and data processing. This course can be used to prepare for the Big Data Engineer Certification exam.

The Big Data Architecture course provides comprehensive coverage of design techniques, technology architecture models and patterns associated with building and integrating Big Data solutions within enterprise environments. This course can be used to prepare for the Big Data Architect Certification exam.

A set of interactive practice questions for the Cloud Computing Consultant Certification exam.