Benefits for Training Providers

Artificial intelligence was founded as an academic discipline in 1956. It is only in recent years that the capabilities and AI and ML have really grown into everyday topics, which are becoming integral parts of many IT projects. There are endless possibilities and uses for AI and ML which can bring incredible benefits; however, as with many new technologies, it is important that we understand them well so we can better consider potential ethical implications. This is why, at AiU, we believe that the most important thing is knowledge.

Data & Analytics United - Certified Data & Analytics Tester (DAU - CDAT) is a 2-day interactive certification course to help you develop the skills and knowledge to survive as a tester in a data and analytics environment. Participants will learn how to utilize embedded structured testing in order to reach and improve the quality goals in their everyday work. A Certified Data & Analytics Tester is not only able to define a vision and test strategy, but also apply it to an efficient test approach in data-oriented environments and projects. They are also familiar with the essential test specification techniques that are required in data and analytics projects. Successful DAU - CDAT participants are able to distinguish between different data quality attributes, measure these differences and apply essential data profiling techniques. They will also understand the intricate privacy aspects of the data that is associated with the given test environments and apply this to their data and analytics testing

Ethereum is the world's largest Blockchain platform for building distributed, smart contract driven Blockchain applications. At the same time, Ethereum is undergoing rapid changes to its API, consensus mechanisms and the solidity programming language used for writing smart contracts. Many online learning resources tend to become outdated very quickly. For someone wishing to learn Ethereum, it becomes quite challenging to find up to date courses and learning content. To solve this problem, we have designed this course to enable participants to learn from the latest version of the platform. We keep the course up to date by continuously updating the content whenever changes occur.

Agile United - Certified Practitioner in Agile Testing (AU - CPAT) is a three-day intensive, hands-on and interactive training to help you develop skills and knowledge to survive as a tester in an agile context and grow your career in the testing & quality field. It will sharpen or change your paradigm of testing and quality in an agile context. This practical training will provide you a variety of approaches and techniques to think and talk about testing and quality and improve your hands-on (people, agile, testing and tooling) skills.

The ISTQB Certified Tester Foundation Level (CTFL) certification is the cornerstone of essential testing knowledge that can be applied to real-world scenarios. The syllabus provides a comprehensive understanding of the terminology and concepts used in the testing domain worldwide, making it relevant for all software delivery approaches and practices, including Waterfall, Agile, DevOps, and Continuous Delivery. CTFL certification is recognized as a prerequisite to all other ISTQB certifications where Foundation Level is required.

The ISTQB Model-Based Testing (CT-MBT) certification focuses on an advanced test approach of using models for testing. It extends and supports classic test design techniques such as equivalence partitioning, boundary value analysis, decision table testing, state transition testing, and use case testing. It is an innovative approach to improve effectivity and efficiency of the test process.

The inherent characteristics of cloud computing architecture is utilized to create cloud native applications. The CU - Cloud Computing Native Apps Specialist (CCNAS) certification course focuses on the essential cloud computing delivery model, its architecture, and specific tests that a tester is required to know to accomplish the tasks at hand. The certification itself is independent of any specific cloud provider; however, hands-on exercises will be performed on several of the most widely-known providers and hybrid scenarios as well. The objective of the Cloud Computing Native Apps Specialist certification is to enable the testers to understand the architecture and inherent characteristics of the cloud native apps and able to perform various types of specific tests and understand the different Hyperscalers and the tools available for performing specific tests.

The ISTQB Agile Test Leadership at Scale (CT-ATLaS) certification focuses on how to organize and improve quality and testing across multiple teams in an agile organization. It also covers how to approach quality and testing at a strategic level in order to achieve higher business agility in an organization. CT-ATLaS covers how to scale testing and quality assurance efforts by fostering a quality mindset and culture across the organization. This includes shifting from a traditional test management approach typically used in sequential development models to a quality assistance approach which builds on Lean and Agile principles and values. It also includes how to adopt common Lean and Agile techniques and processes for analyzing and solving problems and how to use them to improve testing and quality in the organization.

The ISTQB® Certified Tester AI Testing (CT-AI) v2.0 certification focuses on testing AI-based systems, including machine learning systems and generative AI systems such as large language models. It provides the knowledge required to design and execute tests for AI-based systems, addressing their specific characteristics, including probabilistic behavior, non-determinism, and reliance on data. It also introduces AI-specific quality characteristics relevant to testing AI-based systems. The syllabus follows a lifecycle-based approach, including input data testing, model testing, and ML development testing, together with relevant test approaches for modern AI-based systems.