Tutorials & Learning

Tutorials and Learning Resources

Access our comprehensive collection of tutorials, guides, and educational materials designed to help you build knowledge and skills in AI, data, and technology. Whether you’re a beginner or looking to advance your expertise, our learning resources provide structured, practical guidance.

Our tutorials cover a wide range of topics from foundational concepts to advanced implementations. Learn through step-by-step guides, practical examples, and hands-on exercises that make complex topics accessible and actionable.

We believe in learning by doing, so our educational content focuses on practical skills you can apply immediately. From understanding AI basics to implementing specific technologies, our tutorials help you build confidence and capability in using modern tools and platforms.

What are database improvements?

Database improvements can mean improving the design of the database, improving the performance of the database, and improving the security of the database.

What is database maintenance?

Database maintenance plans are a method of ensuring that a database is optimised and performing well. This helps businesses reduce downtime and data loss and ensure accurate and reliable data is available for modelling and insights.

What is data visualisation?

Data visualization is the graphic representation of data. It involves producing images that communicate relationships among the represented data to viewers of the images. Data visualisation empowers all of the teams in your organisation to make data-driven decisions and act on insights from your data.

What is AI product development?

AI product development is the development of an AI solution - either from scratch or building upon an AI solution that is used internally - that can be made available externally as a marketable product.

What is AI integration into applications?

AI systems such as natural language processing and machine learning algorithms can be integrated into existing applications to add functionality and improve their performance over time. Examples of AI features that can be integrated into applications are facial recognition image processing, speech processing and personalised content.

What is Azure Batch?

Azure Batch is a service that manages the workload of applications. It is designed to take the workload that is greater than the capability of your application, and divide it between a number of nodes - virtual machines (VMs) - that can each run your application and perform different parts of the workload in parallel.

What is Azure Data Factory?

Azure Data Factory is a cloud-based data integration service. It does not store data itself, but allows you to create and monitor automated workflows that collect, integrate, and (to some extent) transform large volumes of data from disparate sources, and pass them on to other services that can store, transform, analyse and use the data.

What is data collection?

Data collection is the process of gathering and measuring information on targeted variables in an established system. Data collection helps businesses evaluate and improve internal operations, evaluate performance, solve business problems, better understand customers and how to serve them, and make better decisions.

What is data modeling?

Data modeling is the process of structuring and organising data as a map that clearly visualises data sources, transfers and relationships. Data modeling helps businesses build products that use data efficiently and meet business goals, empower teams to make data-driven decisions efficiently and manage large volumes of data.