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Artificial Intelligence for Business

Develop practical AI strategies to drive innovation and support responsible business transformation.

  • Duration

    6 weeks

  • Weekly study

    4 hours
Overview
Syllabus
Requirements
Educators
This course is part of the Artificial Intelligence for Business program, which will enable you to develop practical AI capabilities for organisational transformation.

Why join the course?

Artificial intelligence is reshaping organisations across every sector. This six-week postgraduate microcredential equips professionals with the practical knowledge and strategic skills to apply AI responsibly in business. Explore generative AI, data-driven decision-making, governance, ethics, and organisational transformation through real-world case studies. No technical background is required, just a desire to lead innovation and create business value with AI.

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Skip to 0 minutes and 20 seconds Artificial intelligence is definitely transforming the way business operates, from improving customer experiences to supporting decision -making. AI is helping businesses become more efficient, innovative and competitive. Businesses across industries are already benefiting from AI. Retail companies are using artificial intelligence to recommend products to customers. Banks are using AI to detect fraud and manage risk. Even healthcare organisations are using AI to support diagnosis and analyse patient data. And we also have examples for the marketing team. They are using AI to create content, understand customer behaviour and improve campaigns. While AI offers significant opportunities, it also brings challenges. Businesses must consider ethics, privacy, transparency and the potential for bias in AI systems. Successful AI adoption requires responsible leadership, human oversight and clear governance.

Skip to 1 minute and 32 seconds Artificial intelligence is no longer a technology of the future, it is already shaping the future of businesses. Businesses that learn to combine human talent with AI capabilities will be best positioned to thrive in an increasingly digital world.

Syllabus

  • Week 1

    Foundations of Artificial Intelligence

    • Part 1: Introduction

      This section introduces the course and teaching team, explores the evolution of business analytics and the AI revolution, and invites you to reflect on what AI means in today's business context.

    • Part 2 Understanding Artificial Intelligence

      This section introduces the core concepts of Artificial Intelligence (AI), exploring what AI is, how it works, and how it is transforming organisations, industries, and society. You will examine the opportunities and challenges

    • Part 3: The benefits and risks of using Artificial Intelligence

      Part 3 explores the opportunities and challenges of AI examining how AI can enhance productivity, decision-making, and innovation while also creating risks related to ethics, privacy, bias, and accountability.

  • Week 2

    Identifying AI Opportunities in Organisations and Business

    • Part 1: Generative AI in Business

      Generative AI in Business introduces the foundations of generative AI and its growing role in organisations. You will explore the most widely used AI tools, examine how businesses are applying them in professional contexts.

    • Part 2: Industry Use

      In this section, we explore how organisations across different industries are using AI to improve efficiency, enhance customer experiences, and create new opportunities for innovation.

    • Part 3: Uses for generative AI

      In this section, we explore how generative AI is transforming the way organisations create content, solve problems, automate tasks, and improve decision-making. Through practical examples and case studies, we examine how businesse

  • Week 3

    Risk Management and Ethical AI

    • Part 1: Risks of using AI

      In this section, you will examine the key risks associated with AI, including cybersecurity threats, privacy concerns, legal challenges, and the potential impact of AI on individuals, organisations, and society.

    • Part 2: Ethics and Governance of AI

      In this section, you will explore the ethical, governance, and reputational challenges of AI, examining both good and bad practices to understand how organisations can use AI responsibly and maintain trust.

    • Part 3: Practical Activity

      In this section, you will apply what you have learned about AI risks, ethics, and governance by analysing real-world examples and reflecting on how organisations can use AI responsibly.

  • Week 4

    Design generative AI in your context

    • Part 1: Digital Transformation

      In this section, you will explore how digital technologies are transforming organisations and assess your organisation’s readiness to adopt AI and other digital innovations.

    • Part 2: Tools and Framework for Implementation

      In this section, you will explore practical tools and frameworks that can help organisations identify, prioritise, and implement AI solutions to support digital transformation and business performance.

    • Part 3: Conclusion

      In this final section, you will reflect on the role of leadership in AI adoption, examine real-world examples of successful AI implementation, and consider how the lessons learned can be applied within your own organisational cont

  • Week 5

    Implementation and Evaluation

    • Part 1: Implementation

      In this part, we explore how organisations can move from AI ideas to successful implementation. You will examine where businesses should begin, the key factors that influence AI project success, and the human challenges associated

    • Part 2: Evaluation

      In this part, we focus on how organisations can evaluate the success of AI implementation. You will explore practical methods for measuring AI's impact on productivity, efficiency, customer experience, and organisational performan

    • Part 3: Conclusion

      In this final part, we reflect on the broader impact of artificial intelligence and the future of AI in organisations. You will explore how businesses can measure the real value created by AI, consider the challenges of trust and

  • Week 6

    The Future of AI-Driven Organisations

    • Part 1: The Future of Organisations with AI

      In this part, we explore how artificial intelligence is likely to shape the future of organisations and the world of work. You will consider the challenges of predicting technological change, examine key ideas from the AI Manifest

    • Part 2: AI and Human Approaches

      In this part, we explore the evolving relationship between artificial intelligence and human intelligence. You will examine emerging human–AI collaboration models, discover how AI is supporting solutions to global challenges such

    • Part 3: Conclusion

      In this final part, you will reflect on the future of work and the role that people will continue to play in an AI-driven world. Through discussion and critical reflection, you will challenge common assumptions about AI, consider

Learning on this course

On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.

What will you achieve?

By the end of the course, you‘ll be able to...

  • Assess the opportunities and limitations of artificial intelligence for organisations across different sectors.
  • Evaluate the strategic, ethical, and governance implications of AI adoption in business.
  • Reflect on how AI can support innovation, decision-making, operational efficiency, and organisational transformation.
  • Apply practical frameworks to identify, plan, and implement responsible AI initiatives within an organisation.
  • Develop an AI adoption strategy that creates business value while addressing ethical, legal, and organisational considerations.

Who is the course for?

This course is designed for professionals, managers, entrepreneurs, consultants, and business leaders who want to understand how artificial intelligence can create value within their organisations. It is particularly relevant for those involved in digital transformation, strategy, innovation, operations, marketing, finance, human resources, or business development. The course is also suitable for professionals working in the public sector, non-profit organisations, and social enterprises who are exploring responsible AI adoption and organisational change. No previous experience in artificial intelligence, programming, or data science is required. The course is designed for learners with a general understanding of business or management who want to develop practical AI literacy and the confidence to evaluate, implement, and lead AI initiatives responsibly.

Who will you learn with?

Dr Sara Calvo

Expert in Sustainability and Social Enterprise. She is the co-founder of Minca Ventures Ltd, a certified coach and has experience providing consultancy services for social businesses across the globe.

Dr Andrés Morales

Andres is the co-founder and COO of Minca Ventures Ltd. He is an expert in Sustainability, Social Entrepreneurship and Innovation.

Follow me @AndresMoralesPM

Who developed the course?

Minca Ventures

Minca Ventures Ltd supports social innovation & social enterprises across the globe. The company offers consultancy, sustainable business modelling, training and educational courses, research, filmmaking, and storytelling communication strategies.

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