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, machinelearning, 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 a strong More ❯
to reduce workload and streamline processes. Ensure compliance with data protection, cybersecurity, and ethical AI standards in all developments. Collaborate with academic and business colleagues to integrate AI into learning and operational systems (e.g. LMS, CRM, VLEs). Act as an AI subject matter expert, mentoring colleagues and promoting best practice in AI adoption. If you're a skilled … standards Desirable Qualifications: Microsoft Azure AI Engineer Associate or equivalent certification. Desirable Experience: Process automation and workflow optimisation using AI/ML. Experience embedding AI solutions in business or learning systems (e.g. LMS, CRM, HR, VLE). Familiarity with model monitoring, explainability, and fairness testing. Experience of working in education or developing AI solutions for teaching/learningMore ❯
