Digital Transformation and Business Innovation with Generative AI (GenAI)
About This Course
This course delves into the pivotal role of Generative AI (GenAI) in driving digital transformation and fostering business innovation, tailored for professionals eager to explore the potential of AI in achieving organizational objectives. Participants will gain an in-depth understanding of current and emerging GAI technologies, including ChatGPT, Claude, Copilot, Gemini, DALL-E, Firefly, and others, and learn how to evaluate and leverage these tools to identify business opportunities. Through case studies and real-world examples, the course illustrates practical applications of GAI in various industries, enabling learners to conceptualize viable business strategies.
Building on this foundation, the course covers the design of digital architectures and the integration of GAI tools into business processes to support innovation. Attendees will learn to develop comprehensive action plans for implementing GAI solutions, considering legal, ethical, and security implications. The curriculum emphasizes hands-on experience with GAI tools, management best practices, and strategies for facilitating information flow among stakeholders to review successes and foster a culture of innovation. By the end of the course, participants will be equipped with the knowledge and skills to drive digital transformation and implement sustainable business innovations using Generative AI.
What You'll Learn
LO1 - Evaluate and investigate generative AI business strategies to identify viable opportunities compatible with organizational objectives.
LO2 - Develop action plans to implement business innovation with generative AI and design digital architectures to apply technologies across the business.
LO3 - Manage business innovation and facilitate information flow among stakeholders to review success and develop innovative ideas.
Topics Covered
Topic 1: Introduction to Business Innovation and Generative AI
• Overview of current predictive AI technology used in the industry
• Overview of emerging generative AI technology for business innovation
• Overview of generative AI tools: ChatGPT, DALL-E-2, MidJourney, Stable Diffusion, D-ID, Runway. ElevenLabs, etc.
• Investigating and evaluating business opportunities with generative AI tools
• Case studies and real-world examples
Topic 2: Designing Digital Architectures and Processes for Business Innovation
• Business planning methodologies for innovation
• Designing digital architectures using generative AI tools
• Integrating generative AI tools into the business environment
• Developing an action plan for implementing business innovation
• Hands-on with generative AI tools
Topic 3: Implementing and Managing Business Innovation with Generative AI Tools
• Implementing best practices for business innovation using generative AI tools
• Legal, ethical and security considerations
• Managing and reviewing the success of business innovation using generative AI tools
• Facilitating communication and idea sharing among stakeholders
Entry Requirements
Knowledge and Skills
• Able to operate computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
• Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
• Positive Learning Attitude
• Enthusiastic Learner
Experience
• Minimum of 1 year of working experience.
Target Age Group: 21 - 65 years old.