Awareness Series: Generative AI Mastery in Industry 4.0

In the transformative landscape of Industry 4.0, the "Introducing Generative AI" course is a comprehensive dive into the disruptive technologies redefining our digital existence. Participants will explore the symbiotic relationship between innovation and data dependency that fuels the current technological revolution. They will delve into the hierarchy of AI sophistication, gain a profound understanding of Generative AI, and dissect the mechanisms of Generative Adversarial Networks (GANs). The course further elucidates the prowess of Generative AI in creating diverse content, enhancing writing, converting text to speech, generating visual content, and automating code development. Examining the prolific impact of these solutions, the course traverses the transformative applications across sectors like healthcare, marketing, finance, software engineering, and data analytics. It not only reveals the potential of Generative AI in these sectors but also equips learners with knowledge about common tools like Grammarly, ChatGPT, Canvas, and GitHub Copilot that are shaping the future of automated and intelligent content generation. This course is both a deep dive and a broad survey of the frontiers of Generative AI.

Upon completion of this course, learners will be able to:

1. Comprehend Industry 4.0 Dynamics: Learners will understand the role of Generative AI in Industry 4.0, distinguishing how digital transformation drives technological evolution and influences data utilization.
2. Mastery of Generative AI Concepts: Participants will gain insightful knowledge about the levels of artificial intelligence, specifically focusing on the principles and workings of Generative AI and GANs.
3. Proficiency in Generative AI Applications: The course will enable attendees to recognize and apply Generative AI for content generation, writing assistance, and other innovative solutions across various industries.
4. Acquaintance with AI Tools: Students will become familiar with leading Generative AI tools, learning to leverage applications like Grammarly, ChatGPT, and GitHub Copilot for practical and industry-specific tasks.

1. Tech Industry Professionals: Seeking to integrate AI into their operations or products.
2. Data Scientists & Analysts: Interested in leveraging AI for data interpretation and strategy.
3. Software Developers: Looking to implement AI in coding and software development.
4. Marketing Executives: Aiming to harness AI for creative strategy and consumer analytics.
5. Healthcare Practitioners: Exploring AI applications for patient care and medical research

Dwight graduated with a degree in Biotechnology (from NUS in 2001), Advanced diploma in Pharmaceutical management (from MDIS in 2007) and Masters in Education (from NTU in 2013). In 2014, Dwight ventured into Data Analytics and Database Management and picked up Statistics/Machine Learning, Big Data analytics, text mining & social media analytics and web applications. His other expertise includes data science programming languages such as R and Python. He is also deeply passionate in deep learning using sequential models and sequence to sequence models using Keras and h2oAI machine & deep learning platforms and libraries. He is also a Senior Data Analyst, where he performs data analytics and create predictive models using healthcare data.