Artificial Intelligence is no longer a future consideration — it is the operating reality of today’s most
competitive organisations. This three-day programme is designed to equip learners with a thorough, practical, and immediately applicable understanding of Generative AI and its role in reshaping digital product management, customer experience, and enterprise operations.
This is not a theoretical survey of AI trends. From the very first session, participants will be working
with real AI tools, building prompts, designing conversational journeys, and exploring how
technologies like RAG, MCP, and AI agents can be embedded into the way organizations
operate. By the end of the three days, participants will leave not just informed — they will leave
capable.
WHO SHOULD ATTEND:
This programme has been designed for a cross-functional audience of mid-to-senior professionals
who either manage digital products and platforms, work in customer experience or operations, or
are involved in technology strategy and innovation. Specifically, this programme is ideal for:
- Digital Product Managers and Platform Owners
- Customer Experience and CX Strategy professionals
- Marketing, Operations, and Innovation teams
- Technology leads involved in AI strategy or digital transformation
- Business analysts and strategy professionals seeking to integrate AI into their workflows
- Team leads who want to understand how AI can be applied across their business functions
LEARNING OBJECTIVES:
By the end of this programme, participants will be equipped to:
- Understand the landscape of AI, Generative AI, Agentic AI, RAG, and MCP — and articulate
their business relevance clearly - Apply prompt engineering techniques to drive productivity, content generation, and
intelligent automation - Leverage AI throughout the digital product and platform lifecycle — from discovery through
to delivery - Design AI-powered customer experiences across chat, voice, and chatbot interaction
journeys - Build functional AI-enabled business solutions using modern AI frameworks and tools
- Evaluate governance, security, risk, and responsible AI considerations relevant to their context
EXPECTED OUTCOMES:
Participants will leave this programme able to:
- Identify high-value AI use cases across their specific business functions and domains
- Create effective prompts and structured AI workflows that deliver consistent, quality
outputs - Design AI-enabled digital products and platform strategies aligned with business goals
- Develop chatbot and conversational AI prototypes suited to customer-facing operations
- Implement RAG-based enterprise knowledge assistants to improve information access and
efficiency - Understand MCP-based AI integrations and how AI models can be connected to enterprise
tools and data
