School of Digital Media and AI ·
Optimising Generative AI
Build Business-Ready AI Solutions In 4 Days
From prompt design to deployment: move your team from prompting to secure AI deployment and automation with an agentic workflow specialisation.
- Duration: 4 days, 32 hours
- Funding: SFEC support
Who this course is for
- Teams designing or implementing AI workflows
- Operations, IT and digital leads
- Managers who own business processes ready for automation
What you will learn
- AI foundations and prompt design — understand use cases, prompt clearly, map AI opportunities and identify maturity and investment priorities
- Responsible AI, guardrails and controls — manage bias, hallucinations, safety, compliance checks and risk controls
- Integration, MCP and cross-tool connectivity — connect AI with business apps and data sources using MCP, connectors and APIs
- Build AI assistants — lightweight assistants and simple chatbots with memory, context and Agile improvement
- Testing and troubleshooting — read error logs, find root causes, create test cases, analyse errors and fix workflow issues
- Agentic workflow design — use APIs, RAG and multi-model orchestration to automate real-time or batch workflows
Course overview
Organisations enrol to align AI with business goals, reduce AI risk, connect tools and data, and automate smarter — building assistants and end-to-end agentic workflows on approved data.
The four-day programme equips a team to design, build, test and implement practical AI workflows for business operations, working with Claude and OpenAI models.
Practical learning
Twenty-nine hours of classroom work culminate in a project and oral presentation, so each team leaves with a working, tested AI workflow.