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03 Days 03 Hours 03 Minutes 03 Seconds

Generative AI is redefining what is possible across industries, from content creation to product design. This intensive course enables participants to harness generative AI for innovation, growth, and competitive advantage. They will explore applications in NLP, computer vision, and customer engagement while gaining hands-on experience with tools like GPT and Gemini. Real-world case studies and practical projects will help them translate AI concepts into business impact.

Learning Outcomes:

  • Understand core principles of generative AI, including deep learning and NLP.

  • Apply AI tools to content generation, product development, and marketing.

  • Develop AI-enabled strategies to streamline operations and create business value.

  • Evaluate ethical considerations and regulatory implications of generative AI adoption.

Key Topics:

  • Fundamentals of generative AI and deep learning

  • GPT, Gemini, and content generation tools

  • AI in customer service, sales, and marketing

  • Risks, ethics, and governance of AI systems

  • Future trends and business implementation strategies

DAY 1

Module 1 : Introduction to Artificial Intelligence (AI)

  • The Landscape of AI: Different types of AI
  • What is Generative AI?
  • Real-life Applications of Generative AI
  • Exercise: Discuss an instance where you encountered a Generative AI without realizing it.

Module 2 : Basics of Generative AI

  • Understanding How Generative AI Works
  • Potential of Generative AI in Business
  • Case Study Discussion: Generative AI in Business

Module 3 : Generative AI for Content Generation

  • Use of Generative AI in Content Creation (Blogs, Social Media Posts, etc.)
  • OpenAI’s GPT-3 - Introduction and Its Applications
  • Google Gemini - Introduction and Its Applications
  • Exercise: Use an online Generative AI tool to generate content.

Module 4: Generative AI for Product Development & Improvement

  • Role of Generative AI in Product Ideation and Design
  • Case Study: Autodesk’s Dreamcatcher and IBM Watson in Fashion Design

Module 5: Content Generation with ChatGPT

  • Generating a Short Blog Post or Social Media Content Relevant To Your Business

DAY 2

Module 6 : Generative AI In Customer Service

  • Introduction to AI ChatBots
  • Case Study
  • Design of a Basic AI ChatBot Flowchart

Module 7 : Generative AI for Sales and Marketing

  • Personalized Marketing using Generative AI
  • Predictive Analytics using Generative AI
  • Exercise: Marketing Content Generation Using AI Tools - Images, Music and Videos

Module 8 : Risks and Ethics of Generative AI

  • Discussion on AI ethics
  • Risks of Using Generative AI
  • Regulatory Considerations for Businesses Using Generative AI

Module 9 : Future of Generative AI and Wrap Up

  • Recap of Key Points Learnt
  • Upcoming Trends in Generative AI
  • Potential Impact of Future Developments on Businesses
  • Open Discussion : How Are You Planning To Implement Generative AI In Your Business?
*Important Note : Fees are subject to Singapore's prevailing Goods and Services Tax (GST).
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