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RPA with AI: learn to combine UiPath automation with artificial intelligence, so your robots can read documents, understand emails, make judgement calls and handle work that fixed rules cannot. You build solid UiPath foundations first (workflows, selectors, the REFramework and Orchestrator), then bring AI into every stage: intelligent document processing, generative-AI services for extracting, summarising and classifying information, AI-assisted development, and agent-style automations with human approval. Every module is hands-on, and the course ends with a capstone that automates a real business process, such as invoice or customer-email handling, using RPA and AI together. Suitable for beginners, testers, analysts and developers moving into automation; no programming background is required.
RPA with AI: learn to combine Blue Prism digital workers with artificial intelligence, so your automations can read documents, understand text, make judgement calls and handle work that fixed rules cannot. You build solid Blue Prism foundations first (objects, processes, work queues and Control Room), then bring AI into every stage: intelligent document processing, generative-AI services connected through web APIs for extracting, summarising and classifying information, and automations that hand uncertain cases to a person. Every module is hands-on, and the course ends with a capstone that delivers a complete AI-enabled automation, using RPA and AI together. Suitable for beginners, testers, analysts and developers moving into automation; no programming background is required.
A practical, project-based introduction to Python for people starting out in programming, testing, data or automation. You learn to write clean, working programs, handle files and data, and use the libraries professionals rely on every day, then bring it all together in a capstone project. No programming background is required; a laptop and curiosity are enough.
Learn to turn raw data into clear, interactive dashboards and reports with Microsoft Power BI. You connect to data, clean and model it, write DAX measures, design visuals that tell a story, and publish and share reports with your team. Built around real business scenarios, and suitable for analysts, finance and operations professionals and anyone who works with spreadsheets and wants to go further.
Learn SQL the way data professionals actually use it: to ask questions of real data, combine tables, summarise results and prepare data for reporting and analysis. Starting from the basics, you progress to joins, subqueries and window functions through hands-on exercises. The skills transfer across MySQL, PostgreSQL and SQL Server. Suitable for analysts, testers, developers and anyone who works with data; no prior SQL is needed.
Understand how generative AI works and learn to use it confidently and responsibly at work. You practise writing effective prompts, use AI assistants to speed up everyday tasks, connect language models to your own data, and build a small AI-powered application. Covers the risks too: accuracy, privacy, bias and security. Suitable for professionals, students and teams across roles; no coding experience is required for most of the course.
