tools. Hands-on experience with databases such as Cosmos DB and SQL Server. Knowledge of Azure cloud services and deployment pipelines (DevOps/MLOps). Strong coding skills in Python and experience with REST APIs. Experience ensuring compliance with data protection, cybersecurity, and ethical AI standards Desirable Qualifications: Microsoft Azure AI Engineer Associate or equivalent certification. Desirable Experience: Process automation More ❯
videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and More ❯
to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex More ❯
