The AI Chatbot Concepts & Design course is comprised of three modules that provide coverage of AI and chatbot technology and how they can be used together to establish intelligent, AI-driven chatbot solutions.

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The AI Decisioning course consists of three modules that cover essential Artificial Intelligence topics and explore the technologies, techniques and data processing models distinct to enabling autonomous decision-making within AI systems.

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A set of interactive practice questions for the AI Specialist Certification exam.

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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.

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The Big Data Analysis and Advanced Data Science course is comprised of three modules that develop skills in contemporary Big Data analysis and analytics practices and advanced data science techniques and processes. This course is comprised of advanced topics and the completion of the Big Data Analytics and Fundamental Data Science course is a prerequisite.

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The Big Data Analytics and Fundamental Data Science course is comprised of three modules that introduce data science basics and provide coverage of essential Big Data concepts and solutions and lifecycle stages, as well as introductory coverage of Big Data analytics and analysis. This course encompasses fundamental and advanced topics and has no prerequisites.

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A set of interactive practice questions for the Big Data Architect Certification exam.

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The Big Data Architecture course is comprised of three modules that delve into design techniques, technology architecture models and patterns associated with building and integrating Big Data solutions within enterprise and cloud environments. This course is comprised of advanced topics and the completion of the Big Data Analytics and Fundamental Data Science course is a prerequisite.

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A set of interactive practice questions for the Big Data Engineer Certification exam.

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The Big Data Engineering course is comprised of three modules that cover models and practices for designing, configuring and utilizing Big Data solutions, including Big Data storage environments, pipelines and data processing. This course is comprised of advanced topics and the completion of the Big Data Analytics and Fundamental Data Science course is a prerequisite.

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A set of interactive practice questions for the Big Data Science Professional Certification exam.

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A set of interactive practice questions for the Big Data Scientist Certification exam.

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A set of interactive practice questions for the Blockchain Architect Certification exam.

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The Blockchain Architecture course is comprised of three modules that introduce Blockchain concepts and usage scenarios, and then cover Blockchain functions, design, security and technology architecture models. This course covers fundamental and advanced topics and has no prerequisites.

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The Cloud AI Architecture course consists of three modules that cover the technology architecture of cloud-based AI systems, including cloud automation and infrastructure relevant to AI processing.

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The Cloud AI Fundamentals course is comprised of three modules that introduce basic concepts, terminology and practices associated with cloud-based predictive and generative AI systems. This course covers fundamental topics and has no prerequisites.

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

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The Cloud Architecture course is comprised of three modules that develop skills in the utilization of cloud computing architecture models and the design of cloud-based solutions. Coverage includes cloud technology, mechanisms and design patterns. This course covers advanced topics and the completion of the Cloud Computing course is a prerequisite.

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The Cloud Computing course is comprised of three modules that introduce the basic concepts, terminology and models associated with cloud computing, and then further explore cloud platforms, components and different types of common cloud-based resources. This course also includes topics related to the business side of cloud computing, including SLAs, cost calculations and metrics. This course covers fundamental topics and has no prerequisites.

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The Cloud Computing Professional Consulting course is comprised of two modules that cover fundamental cloud technology architecture models and design practices, as well as essential cloud security threats, controls and counter-measures. This course covers fundamental topics and the completion of the Cloud Computing course is a prerequisite.

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The Cloud Governance course is comprised of three modules that explore the components and processes associated with establishing cloud governance frameworks, including comprehensive coverage of precepts, processes and roles that pertain to the governance of cloud-based environments, resources and solutions. This course covers advanced topics and the completion of the Cloud Computing course is a prerequisite.

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A set of interactive practice questions for the Cloud Governance Specialist Certification exam.

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The Cloud Security course is comprised of three modules that provide comprehensive coverage of security controls, security mechanisms and security architecture models for cloud-based environments and solutions, as well as techniques and practices for responding to security threats. This course covers advanced topics and the completion of the Cloud Computing course is a prerequisite.

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A set of interactive practice questions for the Cloud Security Specialist Certification exam.

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The Cloud Storage course is comprised of three modules that cover different types of cloud storage devices, mechanisms and technologies and further explore how they can be utilized as part of cloud storage architectures and solutions. This course covers advanced topics and the completion of the Cloud Computing course is a prerequisite.

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A set of interactive practice questions for the Cloud Storage Specialist Certification exam.

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A set of interactive practice questions for the Cloud Technology Professional Certification exam.

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The Cloud Virtualization course is comprised of three modules that cover industry virtualization technology models, as well as virtualization mechanisms and design techniques for building cloud-based virtualization environments and solutions. This course covers advanced topics and the completion of the Cloud Computing course is a prerequisite.

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A set of interactive practice questions for the Cloud Virtualization Specialist Certification exam.

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A set of interactive practice questions for the Containerization Architect Certification Exam.

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The Containerization Architecture course is comprised of three modules that introduce the basic concepts and models of containers and containerization technology, and then delve into containerization technology and architecture topics, along with practices for assessing, designing and securing highly available container-hosted services and solutions. This course covers fundamental and advanced topics and has no prerequisites.

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The Cybersecurity course is comprised of three modules that introduce common cybersecurity concepts and components and further develop an understanding of common cyber security threats and vulnerabilities. The course then develops skills in the technologies and practices used to prevent and counter cyber-attacks. This course covers fundamental and advanced topics and has no prerequisites.

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A set of interactive practice questions for the Cybersecurity Specialist Certification exam.

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A set of interactive practice questions for the Data Science Consultant Certification exam.

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The Data Science Governance course is comprised of three modules that define and explore the utilization of the precepts, processes and roles for establishing and maintaining a governance framework that can encompass machine learning, artificial intelligence (AI) and big data solutions and processing environments. This course covers fundamental and advanced topics and has no prerequisites.

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The Data Science Professional Consulting course is comprised of two modules that provide introductory coverage of and develop essential knowledge in Machine Learning and Artificial Intelligence (AI).

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The DevOps course is comprised of three modules that introduce basic DevOps concepts, terminology, components and practices, and then further explore the application of DevOps technology, processes and techniques. This course covers fundamental and advanced topics and has no prerequisites.

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A set of interactive practice questions for the DevOps Specialist Certification exam.

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The Digital Business Technology course is comprised of three modules that provide easy-to-understand coverage of a broad range of technologies and practices relevant contemporary digital business. Coverage is intentionally non-technical and limited to explaining the purpose and significance of each technology as it may relate to an organization’s digital business operations. This course covers fundamental topics and has no prerequisites.

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A set of interactive practice questions for the Digital Business Technology Professional Certification exam.

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The Digital Transformation course is comprised of two modules that provide a clear understanding of Digital Transformation from both business and technical perspectives and further cover fundamental topics pertaining to Digital Transformation practices, solutions and technologies. This course covers fundamental topics and has no prerequisites.

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A set of interactive practice questions for the Digital Transformation Data Science Professional Certification exam.

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A set of interactive practice questions for the Digital Transformation Data Scientist Certification exam.

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A set of interactive practice questions for the Digital Transformation Security Professional Certification exam.

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A set of interactive practice questions for the Digital Transformation Security Specialist Certification exam

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A set of interactive practice questions for the Digital Transformation Specialist Certification exam.

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A set of interactive practice questions for the Digital Transformation Technology Architect Certification exam.

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A set of interactive practice questions for the Digital Transformation Technology Professional Certification exam.

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The Digital Transformation: Advanced Data Science course is comprised of three modules that delve into the practical application of contemporary data science techniques and algorithms involving Artificial Intelligence (AI), Machine Learning and Big Data Analytics. This course covers advanced topics and the completion of the Digital Transformation and Digital Transformation: Fundamental Data Science courses is a prerequisite.

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The Digital Transformation: Advanced Intelligent Automation course is comprised of two modules that cover advanced Artificial Intelligence (AI) and Robotic Process Automation (RPA) topics to explore the creation of integrated Intelligent Automation environments. This course covers advanced topics and the completion of the Digital Transformation and Digital Transformation: Fundamental Intelligent Automation courses is a prerequisite.

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The Digital Transformation: Advanced Security course is comprised of two modules that cover advanced Cybersecurity and Blockchain topics essential to building contemporary Digital Transformation solutions. This course covers advanced topics and the completion of the Digital Transformation and Digital Transformation: Fundamental Security courses is a prerequisite.

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The Digital Transformation: Advanced Technology and Architecture course is comprised of three modules that drill-down into the technology architecture and inner workings of core Digital Transformation technologies and develop skills associated with their application.

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The Digital Transformation: Fundamental Data Science course is comprised of three modules that provide comprehensive coverage of contemporary data science and analysis practices and technology essential to Digital Transformation, including Artificial Intelligence (AI), Machine Learning and Big Data Analytics. This course covers fundamental topics and the completion of the Digital Transformation course is a prerequisite.

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The Digital Transformation: Fundamental Intelligent Automation course is comprised of two modules that provide fundamental coverage of Artificial Intelligence (AI) and Robotic Process Automation (RPA) concepts, technologies and practices associated with Intelligent Automation (IA). This course covers fundamental topics and the completion of the Digital Transformation course is a prerequisite.

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The Digital Transformation: Fundamental Security course is comprised of two modules that provide in-depth coverage of Cybersecurity and Blockchain concepts, technologies and practices essential to Digital Transformation environments and solutions. This course covers fundamental topics and the completion of the Digital Transformation course is a prerequisite.

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The Digital Transformation: Fundamental Technology course is comprised of three modules that provide essential coverage of core Digital Transformation technologies, including business Cloud Computing, Blockchain and IoT. This course covers fundamental topics and the completion of the Digital Transformation course is a prerequisite.

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The Fundamental Microservices and Service Technology course is comprised of two modules focused on designing and building microservices and other types of API-driven service implementations. Topics include common service technologies, service messaging interactions, microservice characteristics, and basic service-oriented architecture. This course covers fundamental topics and has no prerequisites.

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The Fundamental SOA Design with Services and Microservices course is comprised of two modules that establish an essential understanding of the concepts and models associated with designing and composing API-driven Microservices and other types of services, as well as the design practices and characteristics of Service-Oriented Architecture (SOA). This course covers fundamental topics and has no prerequisites.

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The Generative AI course is comprised of three modules that introduce concepts, terminology, technology and practices associated with generative AI systems. This course covers fundamental and advanced topics and has no prerequisites.

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A set of interactive practice questions for the Generative AI Specialist Certification exam.

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A set of interactive practice questions for the IoT Architect Certification exam.

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The IoT Architecture course is comprised of three modules that introduce Internet of Things (IoT) concepts, terminology and common models, and then further cover IoT technology architecture and solution design, including communication protocols, telemetry messaging and IoT architecture layers. This course covers fundamental and advanced topics and has no prerequisites.

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The Machine Learning course is comprised of three modules that introduce Machine Learning concepts and applications and then cover common Machine Learning analysis and analytics techniques, models and algorithms, as well as Machine Learning processing environments. This course covers fundamental and advanced topics and has no prerequisites.

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A set of interactive practice questions for the Machine Learning Specialist Certification exam.

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A set of interactive practice questions for the Microservice Architect Certification exam.

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

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The Microservice Design and Architecture course is comprised of three modules that provide comprehensive coverage of microservice technology architecture models and design practices, as well as associated containerization technology components and design approaches. This course covers advanced topics and the completion of the Fundamental Microservices and Service Technology course is a prerequisite.

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A set of interactive practice questions for the Microservice Professional Certification exam.

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The Microservice Professional Consulting course is comprised of three modules that provide a cross-section of topic coverage relevant to planning, building and utilizing Microservices. Topics include microservice application architecture, containerization, service API design and management, and security technology and practices. This course covers fundamental topics and the completion of the Fundamental Microservices and Service Technology course is a prerequisite.

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The Quantum Computing course is comprised of three modules that introduce concepts, terminology, technology and practices associated with Quantum Computing systems. This course covers fundamental and advanced topics and has no prerequisites.

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A set of interactive practice questions for the Quantum Computing Specialist Certification exam.

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The Robotic Process Automation (RPA) course is comprised of three modules that introduce concepts and technology associated with RPA bots and RPA processing platforms, including Intelligent Automation environments and business process automation models. This course covers fundamental and advanced topics and has no prerequisites.

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The SOA Analysis and Modeling with Services and Microservices course is comprised of three modules that provide 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 covers advanced topics and the completion of the Fundamental SOA Design with Services and Microservices course is a prerequisite.

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A set of interactive practice questions for the SOA Analyst Certification exam.

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A set of interactive practice questions for the SOA Architect Certification exam.

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The SOA Design and Architecture with Services and Microservices course is comprised of three modules that provide in-depth coverage of service-oriented technology and application architecture models, design patterns and integration techniques. This course covers advanced topics and the completion of the Fundamental Microservices and Service Technology course is a prerequisite.

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A set of interactive practice questions for the SOA Professional Certification exam.

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The Security for Microservices and SOA course is comprised of three modules that provide in-depth coverage of industry technologies, practices and controls used to secure microservice-based applications and other types of service-oriented solutions. The course further describes common security threats and countermeasures. This course covers advanced topics and the completion of the Fundamental Microservices & Service Technology course is a prerequisite.

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The Service API Design and Management course is comprised of three modules that provide 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 web-capable RPC protocols. This course covers advanced topics and the completion of the Fundamental Microservices and Service Technology course is a prerequisite.

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A set of interactive practice questions for the Service API Specialist Certification exam.

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A set of interactive practice questions for the Service Governance Specialist Certification exam.

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The Service Governance and Project Delivery course is comprised of three modules that provide end-to-end coverage of service technology project delivery stages and governance phases, along with numerous associated precepts, processes and roles and guidance for creating a custom governance framework. This course covers advanced topics and the completion of the Fundamental SOA Design with Services and Microservices course is a prerequisite.

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A set of interactive practice questions for the Service Security Specialist Certification exam.

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This is a set of certification exam prep kit(s) from the Service Technology School curriculum that has been translated into Dutch.

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This is a set of course materials from the Service Technology School curriculum that has been translated into Dutch.

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