Course curriculum

    1. Lesson 1: Definition and Principles of Generative AI

    2. Lesson 3: Overview of Artificial Intelligence (AI)

    3. Lesson 4: The power of collective intelligence: Combining computers and people

    4. Lesson 5: Realising strategic advantage with AI in business

    5. Lesson 6: Implementing AI in your organisation: A step-by-step guide

    6. Lesson 7: Historical development and key milestones in AI

    7. Lesson 8: The Birth of AI as a Field

    8. Lesson 9: Key Milestones in AI

    9. Lesson 10: Defining and categorising Artificial Intelligence

    10. Lesson 11: Internet of Things (IoT)

    11. Lesson 12: We are facing a new reality with AI

    12. Lesson 13: Moore's Law - Dead or Alive?

    13. Lesson 14: Ray Kurzweil's Law of Accelerating Returns

    14. Lesson 15: Navigating the Algorithms of Machine Learning

    15. Lesson 16: Introduction to Machine Learning

    16. Lesson 17: Supervised and Unsupervised Learning

    17. Lesson 18: Top Anticpated Directions for AI?

    18. Quiz

    1. Lesson 1: Case Studies of Successful Generative AI Implementations

    2. Lesson 2: Medical Image Synthesis using Generative AI

    3. Lesson 3: AI applications in healthcare: diagnostic assistance, treatment optimisation, and personalised medicine

    4. Lesson 4: Early Detection of Disease using AI

    5. Lesson 5: Case studies of AI-driven innovations in healthcare delivery

    6. Lesson 6: AsymMirai – Early Cancer Detection Through AI

    7. Lesson 7: The Transformative Impact of Artificial Intelligence on Business

    8. Lesson 8: Assessing Benefits and Challenges of Generative AI Adoption

    9. Quiz

    1. Lesson 1: Strategic Planning for AI Implementation

    2. Lesson 2: Decision-Making Frameworks for Selecting AI Solutions

    3. Lesson 3: Integration with Existing Workflows and Systems

    4. Lesson 4: Ethical Use of AI in Business

    5. Quiz

    1. Lesson 1: Ethical Considerations in AI Development and Deployment

    2. Lesson 2: Equitable AI

    3. Lesson 3: Ethical Considerations in AI

    4. Lesson 4: Transparency in AI Systems

    5. Lesson 5: Ethical AI Development

    6. Lesson 6: Building Trust Ethically

    7. Lesson 7: Ethical AI and Fundamental Rights

    8. Lesson 8: Ethical AI and Environmental Sustainability

    9. Lesson 9: Algorithmic Accountability

    10. Lesson 10: Ethical AI and Human-Machine Collaboration

    11. Quiz

    1. Lesson 1: Human-AI Interaction Design Principles

    2. Lesson 2: Employee Training and Change Management Strategies

    3. Lesson 3: Cultivating a Culture of Responsible AI Use

    4. Lesson 4: Navigating the Future of Employment

    5. Lesson 5: Harnessing AI's Potential in HR: Strategies for Success

    6. Lesson 6: What to Know About the Future of Jobs

    7. Quiz

    1. Lesson 1: Overview of Artificial Intelligence (AI)

    2. Lesson 2: Next-Generation AI Technologies (e.g., GPT-4, AI in Robotics)

    3. Lesson 2: Industry-Specific AI Trends and Developments

    4. Lesson 3: Defining and categorising Artificial Intelligence

    5. Lesson 4: Components of AI

    6. Lesson 5: Internet of Things (IoT)

    7. Lesson 4: Four Levels of AI

    8. Lesson 5: We are facing a new reality with AI

    9. Lesson 6: Applications of AI in various industries (e.g., healthcare, finance, manufacturing)

    10. Lesson 7: Walmart introduces new generative AI-enhanced features for customers and staff.

    11. Quiz

About this course

  • €99,00
  • 61 lessons
  • 0 hours of video content

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Is this course for you?

This comprehensive 8-week online course empowers professionals to strategically integrate generative AI into organizational frameworks, equipping them with the knowledge and skills necessary to navigate the complexities of AI adoption in diverse business contexts. Through a blend of theoretical learning, practical exercises, and interactive sessions with industry experts, participants will gain a deep understanding of generative AI principles, its applications, implementation strategies, risk assessment, and future trends.

Course Objectives: Develop a foundational understanding of generative AI and differentiate it from other AI concepts. Analyze the potential applications of generative AI across diverse business contexts and industries. Design and implement strategic deployment plans for generative AI within organizational frameworks. Identify and evaluate risks associated with AI deployment, including ethical considerations and bias mitigation. Foster a people-centered approach to AI deployment, prioritizing human well-being and collaboration. Anticipate future trends in AI and assess their implications for organizational strategies.
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