Data Science and Generative AI: Developing data science products with generative AI

Advance your ability to design and deliver production-ready data science products with Generative AI. Learn to move from experimentation into building real-world applications that are scalable, secure, and commercially viable. This course will deepen your technical skills and show you how to create robust systems powered by GenAI.

Why Does this Course Matter:

Organisations are shifting from testing GenAI concepts to deploying full-scale applications. Success requires more than models—it demands technical knowledge of APIs, data stores, security, and scalable design. This course gives professionals the expertise to turn GenAI potential into practical products that perform in real business environments.

Who is this course for:

  • Data scientists looking to advance beyond experimentation into product development
  • Engineers and analysts aiming to build scalable GenAI-powered systems
  • Teams creating retrieval-augmented generation or semantic search solutions
  • Professionals responsible for deploying secure, commercial-grade applications
  • Technical leads or managers overseeing GenAI product architecture

What Will I Learn:

  • Mastery of RESTful APIs to integrate with large language models and diffusion models
  • Skills to implement vector stores and embeddings for search and retrieval tasks
  • Understanding of how to design and deploy end-to-end GenAI-powered solutions
  • Ability to architect scalable and efficient systems that balance cost and performance
  • Knowledge of data security, privacy, and governance in GenAI workflows

Course Topics:

  • Integrate pre-trained GenAI models through APIs
  • Build retrieval-augmented generation and semantic search with vector stores
  • Develop full pipelines from data ingestion to product deployment
  • Learn best practices for resilient system architecture and scaling
  • Apply security and compliance frameworks to protect sensitive data
  • Take part in practical exercises to design and implement real applications
  • Receive a resource pack for continued learning and reference

Prices

  • Member £495 + VAT
  • Non-Member £625 + VAT
  • Student Member £370 + VAT
  • For group booking discounts, please contact [email protected]

Related courses

Data Science and Generative AI: Tools and techniques for data science projects
Growing a Data Science Capability
Data Architecture and Engineering for Data Scientists

Want to run this course in-house? Enquire about running this course in-house

Meet the tutor

Dr Michael Mortenson

Dr Michael Mortenson is the Course Director for the MSc in Business Analytics at Warwick Business School and leads the AI Research Group at the Gillmore Centre for Financial Technology. He holds a PhD in Analytics and an MSc in eBusiness. His specialisms include natural language processing/large language models, computer vision, OR and data engineering. Alongside his academic work he has significant practical experience working on OR, data science and AI projects for companies such as Amazon Web Services and Vodafone.