AI for Business Innovation: Beyond Generative AI

Harness AI to drive business transformation

Inquiring For
Total Work Experience

Why this programme?

Immerse yourself in a focused learning experience where you explore the business applications of AI. This AI programme is crafted to provide a comprehensive path, enabling you to explore the integration of both AI and gen AI into business strategy and operations. This learning journey offers:

  • AI-focused curriculum: Get practical, gen AI-focused insights into solving real-world business challenges.

  • Non-technical accessibility: Access non-technical insights that make AI concepts applicable to all professionals looking to learn AI and apply it meaningfully.

  • Business-centric approach: Gain business-centric expertise in integrating gen AI into your strategy for growth and competitive advantage.

  • Comprehensive AI strategies: Develop a comprehensive AI business strategy, covering implementation to long-term impact.

  • Ethical AI leadership: Cultivate ethical AI leadership by navigating challenges with integrity and responsibility.

  • Innovation-driven insights: Benefit from innovation-driven insights that keep you ahead in a rapidly evolving landscape.

Key takeaways

By the end of this 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 genAI 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

  • Utilise creative thinking and systematic experimentation to drive strategic and visionary outcomes while fostering a culture of creativity and continuous improvement

What you will learn

Programme highlights

Decorative image relating to immersive session
Immersive session

Engage with industry experts through an interactive webinar that provides insights into the latest advancements in AI and its business applications.

Decorative image relating to peer learning
Peer learning

Engage in live sessions and discussion boards to network with a cohort of global peers.

LP - IMP - AIB - Weekly office hours
Weekly office hours

Receive personalised guidance during weekly office hours with the programme leader who will address your specific challenges.

Decorative image relating to weekly office hours
Case studies and industry examples

Learn from real-world case studies and industry examples to navigate the complexities of AI implementation.

Decorative image relating to case studies and industries examples
The Durable Skills Advantage Framework

Use the creativity principle of this framework in this programme to bridge the gap between technical AI knowledge and essential management skills.

Decorative image relating to self-study activities
Self-study activities

Deepen your knowledge with comprehensive self-study activities designed to reinforce learning and allow participants to explore AI topics at their own pace.

Decorative image relating to continuous programme access
Continuous programme access

Receive access to videos and learning materials for up to 12 months from the programme start date.

Decorative image relating to certificate of completion
Certificate of completion

Distinguish yourself with a certificate from Imperial Executive Education, a globally ranked university and leader in innovative thinking.

Industry Examples

Nauto

Nauto

Discover how an AI-powered platform is transforming fleet safety by detecting distracted driving and providing real-time alerts.

Decorative image relating to SkinVision

SkinVision

Explore how mobile AI applications can empower users and support early diagnosis. SkinVision's approach to skin cancer detection highlights the potential and limitations of AI in consumer-facing health technologies.

Decorative image relating to Kodak

Kodak

Examine how one of the world’s most iconic brands failed to adapt to disruptive innovation and could not overcome mismanagement and digital transformation pitfalls.

Decorative image relating to Google X / Google Labs

Google X/Google Labs

Study how Google created dedicated innovation labs under the “digital skunk works” model to pursue breakthrough innovations.

Decorative image relating to Netflix

Netflix

Understand how Netflix successfully transitioned from DVD rentals to a global streaming giant and integrated personalised content to influence content creation.

Decorative image relating to Cruise Lines

Cruise Lines

See how wearable technology is used to enhance guest experiences through real-time data, demonstrating the power of smartification in customer service and experience design.

Decorative image relating to Amazon Resume Screening Tool

Amazon Resume Screening Tool

Analyse how a machine learning tool unintentionally perpetuated gender bias, offering critical lessons in training data and the importance of ethical oversight in AI deployment.

Decorative image relating to IBM Watson for Oncology

IBM Watson for Oncology

Evaluate how IBM’s AI system faced challenges in delivering accurate treatment recommendations due to narrow training data.

Decorative image relating to Robert Moses Bridges (NYC Infrastructure)

Robert Moses Bridges (NYC Infrastructure)

Examine how this sociotechnical example, used as an analogy for AI bias, demonstrates that design decisions can reinforce systemic inequalities.

Decorative image relating to AI Ain’t I a Woman" by Joy Buolamwini

AI Ain’t I a Woman" by Joy Buolamwini

Reflect on a compelling video case study that revealed racial and gender bias in facial recognition systems.

Decorative image of learners working on the capstone projects

Capstone projects

The capstone projects are designed to sharpen your skills in creative AI application, strategic planning, ethical risk management and visionary thinking. Aligned with the creativity principle from the Durable Skills Advantage Framework that encourages learners to think creatively about leadership and AI, each module will have a mini-capstone project, in which you will choose an industry-specific business problem and propose an AI-driven solution. This exercise will further boost your understanding of AI capabilities and its potential to innovate products, services and processes at scale. The series of capstone projects are designed to enhance your ability to generate original, innovative ideas and solutions within the AI landscape.

Programme faculty

Profile picture of course faculty Christopher Tucci
Christopher L. Tucci

Professor of Digital Strategy and Innovation, Imperial College Business School

Christopher L. Tucci, Co-Director (Education) for I-X, Imperial's new campus concept centred on AI/ML, data and digital technologies, serves as the Academic Director of the Ce...

Profile picture of course faculty 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 h...

Who is this programme for?

The programme is ideal for any manager or leader eager to leverage AI for strategic growth and decision-making, including but not limited to:

  • Executive leaders who want to drive innovation and scale their businesses with strategic Al integration

  • Innovation and strategy leaders who want to focused on optimising business processes through Al interventions

  • Functional leaders in marketing and sales, looking to harness Al for personalised customer insights and engagement

  • Head talent managers seeking to automate, streamline and enhance talent management with Al

  • Consultants who want to develop Al strategies to guide clients through digital transformation

Testimonials

"The best part of this programme was its practical, real-world approach to AI implementation across various business functions. Each module is built upon the last, providing a structured framework for...
Larry Carrel
Manager,
Fédération Internationale de Volleyball (FIVB)
"The early modules gave new knowledge into AI – what it is and how it works. I enjoyed applying the content to my own industry in the mini capstone projects. I also enjoyed the opportunity to develop ...
Devinder Chauhan
VP Sales,
Provar
"The capstone project is an excellent approach for embedding learning and also making it completely relevant to the context of the organisation one works in. This is the second course that I have comp...
Richard Angrave
Transformation Director,
Node4
"The programme touched upon real-time scenarios and problems that connect the learners. It also helped to learn from scratch and build the strategy, implement and execute the ideas and then mature and...
Adesh Bhatt
Senior Manager, Usability & Design,
GlobalLogic Inc.
"The course is ideal for people who are starting to think about or are already implementing AI within their corporate, but also private, environment."
Patrick Famelaer
Head of Treasury,
Watches of Switzerland
"There were good elements in all sections, but I particularly enjoyed modules that focused on AI as it pertains to businesses and the ethics and risks."
Kerry Pope
Head of Technology B2B,
Shell
Example image of certificate that will be awarded once you successfully complete the programme

Certificate

Upon completion of the programme, participants will be awarded a verified digital certificate by Imperial Executive Education.

Note: You will earn the Associate Alumni status upon successful completion of the programme. Visit the Associate Alumni page to find out more.

FAQs

Didn't find what you were looking for? Write to us at learner.success@emeritus.org or Schedule a call with one of our Programme Advisers or call us at +44 208 629 1765 (UK) / +1 315 509 2976 (US) / +65 3138 2451 (SG)

Flexible payment options available.

Starts On