AI Architecture & Design Course (5 Modules)
The AI Architecture & Design course covers fundamental and advanced AI systems and technology architecture topics, including design principles, distributed AI computing and scalability and reliability infrastructure, decision-making logic, performance optimization, security and enterprise architecture integration. This course can be used to prepare for the AI Architect Certification exam.
AI Engineering Course (5 Modules)
The AI Engineering course covers a range of fundamental and advanced AI engineering topics, including a neural network design, data preprocessing and feature engineering, model evaluation, validation and scaling, as well as predictive and generative AI models, explainability techniques and transfer learning. This course can be used to prepare for the AI Engineer Certification exam.
AI Governance & Ethics Course (3 Modules)
The AI Governance & Ethics course establishes the foundations of AI governance with precepts, processes and roles that address the on-going governance of predictive and generative AI systems. The governance of training and production data is covered, along with controls and considerations associated with ethical practice, model explainability and regulatory compliance. This course further extends AI governance practices and considerations in cloud-based environments. This course can be used to prepare for the AI Governance & Ethics Specialist Certification exam.
AI Professional Consulting Course (4 Modules)
The AI Professional Consulting course provides essential coverage of the most important and relevant topics associated with predictive AI, generative AI, as well as fundamental AI engineering and architecture. Also includes business case development techniques for AI projects and change management and AI adoption strategies. This course can be used to prepare for the AI Consultant Certification exam.
Big Data Analysis & Advanced Data Science Course (5 Modules)
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.
Big Data Analytics & Fundamental Data Science Course (3 Modules)
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.
Big Data Architecture Course (5 Modules)
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.
Big Data Engineering Course (5 Modules)
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.
Big Data Professional Consulting Course (5 Modules)
The Big Data 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 Big Data Consultant Certification exam.
Blockchain Architecture Course (3 Modules)
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.
Cloud AI Architecture Course (5 Modules)
The Cloud AI Architecture course covers the technology architecture of cloud-based AI systems, including cloud automation and infrastructure relevant to AI processing, serverless architectural models for AI, AI system monitoring, logging and auditing, AI in multi-cloud and hybrid architectures, as well as AI-related cloud services and infrastructure models. This course can be used to prepare for the Cloud AI Architect Certification exam.
Cloud AI Fundamentals Course (2 Modules)
The Cloud AI Fundamentals course provides essential coverage of concepts and technologies for cloud-based AI systems, including infrastructure resources for reliability and scaling, AI data management, AI system deployment models, using containerization with AI systems, cloud AI serverless architecture, as well as integration of AI services with cloud-native applications. This course can be used to prepare for the Cloud AI Professional Certification exam.
Cloud Architecture Course (5 Modules)
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.
Cloud Computing Course (3 Modules)
The Cloud Computing 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.
Cloud Computing Professional Consulting Course (5 Modules)
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.
Cloud Governance Course (5 Modules)
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.
Cloud Security Course (5 Modules)
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.
Cloud Storage Course (5 Modules)
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.
Cloud Virtualization Course (5 Modules)
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.
Containerization Architecture Course (3 Modules)
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.
Cybersecurity Course (3 Modules)
The Cybersecurity course develops an understanding of common cyber security threats and vulnerabilities and further develop skills in the technologies and practices used to prevent and counter cyber-attacks. This course can be used to prepare for the Cybersecurity Specialist Certification exam.
Data Science Governance Course (5 Modules)
The Data Science Governance course develops knowledge and skills of Data Science Governance precepts, processes and roles that pertain to machine learning, artificial intelligence (AI) and big data solutions and processing environments. This course can be used to prepare for the Data Science Governance Specialist Certification exam.
Data Science Professional Consulting Course (5 Modules)
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.
DevOps Course (3 Modules)
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.
Digital Business Technology Course (3 Modules)
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.
Digital Transformation Course (2 Modules)
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.
Digital Transformation: Advanced Data Science Course (8 Modules)
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.
Digital Transformation: Advanced Intelligent Automation Course (6 Modules)
The Digital Transformation: Advanced Intelligent Automation course covers advanced AI and RPA topics to explore the creation of integrated intelligent automation environments. This course can be used to prepare for the Digital Transformation IA Specialist Certification exam.
Digital Transformation: Advanced Security Course (6 Modules)
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.
Digital Transformation: Advanced Technology & Architecture Course (5 Modules)
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.
Digital Transformation: Fundamental Data Science Course (5 Modules)
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.
Digital Transformation: Fundamental Intelligent Automation Course (4 Modules)
The Digital Transformation: Fundamental Intelligent Automation course provides fundamental coverage of artificial intelligent (AI) and robotic process automation (RPA) concepts, technologies and practices associated with intelligent automation (IA). This course can be used to prepare for the Digital Transformation IA Professional Certification exam.
Digital Transformation: Fundamental Security Course (4 Modules)
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.
Digital Transformation: Fundamental Technology Course (2 Modules)
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.
Essential AI Course (2 Modules)
The Essential AI course provides coverage of predictive AI and generative AI concepts, benefits, challenges and risks. Suitable for IT and business professionals that would like to receive a fundamental understanding of how contemporary AI works and how it can be applied in the real world. This course can be used to prepare for the AI Professional Certification exam.
Essential Cloud Computing Course (2 Modules)
The Essential Cloud Computing course provides introductory coverage of Cloud Computing concepts, models and common cloud environments, from business and technology perspectives. This course can be used to prepare for the Cloud Professional Certification exam.
Essential Big Data & Data Science Course (2 Modules)
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.
Fundamental Microservices & Service Technology Course (2 Modules)
The Fundamental Microservices & Service Technology course provides an understanding of the concepts, models and industry technologies relevant to contemporary microservices and other API-driven service technology implementations. This course can be used to prepare for the Microservice Professional Certification exam.
Fundamental SOA Design with Services & Microservices Course (2 Modules)
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.
Generative AI Course (3 Modules)
The Generative AI course provides essential coverage of generative AI concepts, models, best practices, and neural networks, including Generative Adversarial Networks (GANs), Variational Encoders (VAEs) and Transformer models. The course is focused on exploring the application of generative AI within a range of business scenarios. This course can be used to prepare for the Generative AI Specialist Certification exam.
Machine Learning Course (3 Modules)
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.
IoT Architecture Course (3 Modules)
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.
Microservice Design & Architecture Course (5 Modules)
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.
Microservice Professional Consulting Course (5 Modules)
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.
NLP Engineering Course (3 Modules)
The NLP Engineering course provides in-depth coverage of natural language processing, NLP linguistics, text preprocessing and normalization and semantic analysis techniques, as well as Transformer models, sentiment analysis and emotion detection, dialogue systems and machine translation and transliteration. This course can be used to prepare for the NLP Engineer Certification exam.
Predictive AI Course (3 Modules)
The Predictive AI course provides essential coverage of predictive AI concepts, models and best practices. Common AI analysis and analytics practices are explored within a range of business scenarios, and in-depth coverage of predictive AI model training, learning and data filtering and processing techniques is provided. This course can be used to prepare for the Predictive AI Specialist Certification exam.
Quantum Computing Course (3 Modules)
The Quantum Computing course provides comprehensive coverage the concepts, technology models and infrastructure components that comprise contemporary quantum computing solutions, as well as guidance for how to utilize these solutions in IT enterprise environments. This course can be used to prepare for the Quantum Computing Specialist Certification exam.
Robotic Process Automation (RPA) Course (3 Modules)
The Robotic Process Automation (RPA) course develops skills in RPA technologies, practices and business process automation models. This course can be used to prepare for the RPA Specialist Certification exam.
Service API Design & Management Course (5 Modules)
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.
Service Governance & Project Delivery Course (5 Modules)
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.
Security for Microservices & SOA Course (5 Modules)
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.
SOA Analysis & Modeling with Services & Microservices Course (5 Modules)
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.
SOA Design & Architecture with Services & Microservices Course (5 Modules)
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.