Building Production-Ready AI Solutions That Deliver Real Impact

This event is hosted by BRC Associate Member & Partner, Cambridge Spark.
__________________________

Are you looking to build real-world AI systems that move beyond experimentation and deliver measurable value?

In this webinar, you’ll discover how the AI Engineer Apprenticeship (Level 6) equips professionals with the practical engineering skills to design, operationalise, deploy and monitor production-ready machine learning systems, skills that are increasingly in demand across every industry.

You’ll learn how AI Engineers combine machine learning, software engineering and MLOps to turn prototypes into scalable, reliable solutions. We’ll walk you through how the programme bridges the gap between theory and hands-on practice, giving learners the confidence to build, automate and optimise AI in the real world.

Agenda:

🚀 Programme Overview: Explore how the AI Engineer Apprenticeship builds the end-to-end skills needed to design, deploy, and maintain ML systems in production.

📈 Career Impact: Learn how learners develop expertise in automation, MLOps, optimisation, and securing ML systems.

📚 Support Structure: See how expert mentors and the EDUKATE.AI platform create a hands-on, feedback-driven learning environment with real-world assignments and sandbox practice.

Watch this webinar if you are:

• A professional looking to advance your career in AI, ML engineering, or MLOps by gaining hands-on experience deploying scalable AI systems.
• A business leader wanting to understand how AI engineering unlocks automation, increases efficiency, cuts delivery timelines and accelerates AI-driven transformation.
• An HR or Learning & Development professional exploring how apprenticeships can develop internal AI capability and empower employees to build reliable, ethical, production-grade AI solutions.