AI for Business Innovation

Key information

Duration: 6 weeks (online)
Programme dates:

Location:
Fees: £1,450

Programme overview

AI for Business Innovation: Beyond Generative AI is expertly designed to equip you with the knowledge and skills needed to effectively integrate AI and generative AI into your business strategies. Throughout this innovative programme, you will explore AI not only as an automation tool, but as a strategic enabler that transforms business operations, enhances innovation capabilities, and advances your career in an AI-driven world. 

This six week online programme draws on expertise from Imperial College Business School faculty, industry experts and case studies. It features hands-on modules for practical learning and opportunities for interactive engagement, and strategic thinking. You will experience live online teaching sessions, video lectures, interactive activities and assignments whilst receiving personal support from a dedicated Learning Team.

You will finish the programme prepared to implement your learnings, and with a verified Digital Certificate from Imperial College Business School Executive Education. 

Who should attend?

The AI for Business Innovation: Beyond Generative AI programme is ideal for both technical and non-technical professionals looking to leverage AI for enhanced decision-making and leadership. The programme is suitable for leaders including, but not limited to:

  • Executive leaders, including founders and other C-Suite leaders, aspiring to harness AI for strategic innovation and business scaling
  • Innovation and strategy leaders looking to integrate AI to optimise processes and improve efficiency
  • Functional leaders aiming to leverage AI for improved insights and engagement
  • Consultants looking to develop AI strategies for guiding clients through transformations

Learning Objectives

By the end of the programme, you will be able to:

  • Evaluate the foundational principles of AI, and summarise its current state and advancements, demonstrating an understanding of its concepts
  • Assess the potential and pitfalls of AI to make informed business decisions
  • Evaluate the effectiveness of genAI strategies in recruitment and interviewing
  • Identify opportunities for innovation by generating business ideas with genAI tools
  • Design and optimise AI-driven solutions using generative tools for practical business scenarios
  • Analyse ethical dilemmas and regulatory hurdles of AI in business environments
  • Design innovative business strategies that leverage AI for growth and competitive advantage
  • Use creative thinking and systematic experimentation to drive strategic and visionary outcomes, while fostering a culture of creativity and continuous improvement

Learning Journey

Module 1: Fundamentals of AI in Business

Module 2: Generative AI Tools and Prompt Engineering

Module 3: Automating Workflows with Generative AI

Module 4: Innovation and Competitive Advantage through Generative AI

Module 5: Managing Organisational Impacts and Strategic Integration

Module 6: Ethical Considerations and Risk Management in AI

Programme Faculty

Chris Tucci

Chris Tucci

Professor of Digital Strategy and Innovation

Professor Chris Tucci received the degrees of Ph.D. in Management from the Sloan School of Management, MIT; SM (Technology & Policy) from MIT; and BS (Mathematical Sciences), AB (Music), and MS (Computer Science) from Stanford University. He was an industrial computer scientist involved in developing Internet protocols and applying artificial intelligence tools.

Chris' primary area of interest is in how firms make transitions to new business models, technologies, and organisational forms. He also studies crowdsourcing, Internetworking, and digital innovations.

Islem Rekik

Islem Rekik

Associate Professor, Imperial College London (Innovation Hub I-X)

Islem Rekik is the Director of the Brain and Signal Research and Analysis (BASIRA) laboratory. She has led over 90 pioneering research projects at the intersection of AI and healthcare, with a particular emphasis on brain imaging and neuroscience. She is actively involved in the academic community, co-chairing and organising more than 20 international conferences, workshops and competitions, including Affordable AI, Predictive AI and Machine Learning in Medical Imaging

Key information

Duration: 6 weeks (online)
Programme dates:

Location:
Fees: £1,450