| Event Profile | |
| Class/ Online | Classroom |
| Date | August 26, 2025 |
| Time | 9.00am to 5.00pm |
| Venue | Holiday Inn Atrium Singapore (Halal Certified) 317 Outram Road Singapore 169075 |
| Fee | 9% GST will apply SGD 550.003 & above: SGD520.00 each For Member SGD 522.5 3 & above: SGD494 each |
| Note | Two tea breaks and buffet lunch will be served. Limited complimentary car parking coupons are available upon request. |
| Other Date(s) | 1) Nov 28, 2025 |
| Trainer | |
| Activity | |
| You may reach us via T: 6204 6214 E: info@ccisg.com Alternatively, you may send below details to register Contact Person Company (optional), Name, Job Title, Mailing Address, Tel, Email Participant(s) Name, Job Title, Email | |
In the era of Industry 4.0, Generative AI is transforming how we create, communicate, and innovate. This course offers a comprehensive introduction to the technologies driving this revolution, focusing on the growing synergy between innovation and data.
Participants will gain a clear understanding of the AI maturity spectrum, with an emphasis on Generative AI and its core technology - Generative Adversarial Networks (GANs). The course explores how Generative AI powers content creation, enhances writing, converts text to speech, generates images, and automates code development.
Through real-world applications in healthcare, marketing, finance, software engineering, and data analytics, learners will discover the immense potential of Generative AI. They will also get hands-on exposure to popular tools such as Grammarly, ChatGPT, Canva, and GitHub Copilot - platforms that are reshaping the future of work.
This course is both an in-depth exploration and a practical guide to the frontiers of Generative AI in the digital age.
Participants will gain a clear understanding of the AI maturity spectrum, with an emphasis on Generative AI and its core technology - Generative Adversarial Networks (GANs). The course explores how Generative AI powers content creation, enhances writing, converts text to speech, generates images, and automates code development.
Through real-world applications in healthcare, marketing, finance, software engineering, and data analytics, learners will discover the immense potential of Generative AI. They will also get hands-on exposure to popular tools such as Grammarly, ChatGPT, Canva, and GitHub Copilot - platforms that are reshaping the future of work.
This course is both an in-depth exploration and a practical guide to the frontiers of Generative AI in the digital age.
Objective
1. Understand the Dynamics of Industry 4.0
Participants will explore how Generative AI fits into the broader context of Industry 4.0, gaining insights into the digital transformation that is reshaping technology, data use, and business innovation.
2. Deepen Knowledge of Generative AI and GANs
Learners will develop a solid understanding of artificial intelligence tiers, with a focus on the core principles, functionality, and significance of Generative AI and Generative Adversarial Networks (GANs).
3. Apply Generative AI in Real-World Contexts
Attendees will learn how to harness Generative AI for practical use cases such as content creation, writing enhancement, and other innovative applications across multiple industries.
4. Gain Hands-On Experience with Leading AI Tools
Participants will be introduced to key Generative AI tools—including Grammarly, ChatGPT, and GitHub Copilot—and learn how to effectively use them in real-world, industry-relevant scenarios.
Participants will explore how Generative AI fits into the broader context of Industry 4.0, gaining insights into the digital transformation that is reshaping technology, data use, and business innovation.
2. Deepen Knowledge of Generative AI and GANs
Learners will develop a solid understanding of artificial intelligence tiers, with a focus on the core principles, functionality, and significance of Generative AI and Generative Adversarial Networks (GANs).
3. Apply Generative AI in Real-World Contexts
Attendees will learn how to harness Generative AI for practical use cases such as content creation, writing enhancement, and other innovative applications across multiple industries.
4. Gain Hands-On Experience with Leading AI Tools
Participants will be introduced to key Generative AI tools—including Grammarly, ChatGPT, and GitHub Copilot—and learn how to effectively use them in real-world, industry-relevant scenarios.
Outline
1. Foundations of Generative AI
2. Applications of Generative AI
3. Use Cases Across Industries
4. Popular Generative AI Tools
- The Role of Generative AI in Industry 4.0 and Digital Transformation
- Technological Innovation and the Growing Reliance on Data
- Levels of Artificial Intelligence Explained
- Introduction to Generative AI: Concepts and Capabilities
- Understanding Generative Adversarial Networks (GANs)
2. Applications of Generative AI
- Content Creation and Automation
- AI-Powered Writing Assistance
- Text-to-Speech and Audio Solutions
- Visual Content Generation (Images, Videos)
- Code Generation and Programming Support
3. Use Cases Across Industries
- Healthcare and Medical Innovation
- Marketing and Advertising Optimization
- Financial Services and Risk Analysis
- Software Development and Engineering
- Advanced Data Analysis and Insights
4. Popular Generative AI Tools
- Grammarly for Language Enhancement
- ChatGPT for Conversational AI and Content Generation
- Canva for AI-Enhanced Visual Design
- GitHub Copilot for AI-Assisted Coding
Who should attend
This course is ideal for professionals seeking to understand and apply Generative AI technologies within the context of Industry 4.0.
1. Technology Professionals – Aiming to integrate AI solutions into operational processes and product innovations.
2. Data Scientists and Analysts – Looking to enhance data interpretation, predictive modeling, and strategic insights using AI.
3. Software Developers & R&D and Innovation Teams– Interested in applying AI techniques to software engineering, automation, and intelligent system design.
4. Marketing Leaders – Seeking to leverage AI for creative campaign strategies, audience targeting, and consumer behavior analysis.
5. Healthcare Professionals – Exploring AI-driven advancements in patient diagnostics, treatment planning, and medical research.
1. Technology Professionals – Aiming to integrate AI solutions into operational processes and product innovations.
2. Data Scientists and Analysts – Looking to enhance data interpretation, predictive modeling, and strategic insights using AI.
3. Software Developers & R&D and Innovation Teams– Interested in applying AI techniques to software engineering, automation, and intelligent system design.
4. Marketing Leaders – Seeking to leverage AI for creative campaign strategies, audience targeting, and consumer behavior analysis.
5. Healthcare Professionals – Exploring AI-driven advancements in patient diagnostics, treatment planning, and medical research.
Dwight Nuwan Fonseka's Profile
Head Data Analyst | Data Governance & AI | CAIP | CDSP | ACLP
Dwight Fonseka is a seasoned data analytics professional with over a decade of experience in big data, predictive modeling, and AI. Holding a Master’s in Education (NTU), a degree in Biotechnology (NUS). He is a Certified AI Practitioner (CAIP), Certified Data Science Practitioner (CDSP), and ACLP-certified trainer with extensive experience delivering data-driven insights and practical applications across industries.
Dwight has held roles such as Senior Data Analyst and Data Governance Officer at Plano Pte Ltd, specializing in healthcare analytics and machine learning. As an adjunct trainer, he delivers practical courses in data visualization, data storytelling, deep learning, and AI business models, using tools like R, Python, Tableau, and RapidMiner.
Notable Topics Trained:
Dwight Fonseka is a seasoned data analytics professional with over a decade of experience in big data, predictive modeling, and AI. Holding a Master’s in Education (NTU), a degree in Biotechnology (NUS). He is a Certified AI Practitioner (CAIP), Certified Data Science Practitioner (CDSP), and ACLP-certified trainer with extensive experience delivering data-driven insights and practical applications across industries.
Dwight has held roles such as Senior Data Analyst and Data Governance Officer at Plano Pte Ltd, specializing in healthcare analytics and machine learning. As an adjunct trainer, he delivers practical courses in data visualization, data storytelling, deep learning, and AI business models, using tools like R, Python, Tableau, and RapidMiner.
Notable Topics Trained:
- Data Analytics & Visualization (R, Tableau, Excel)
- Machine & Deep Learning (RapidMiner, DeepCognition)
- Data Governance & AI Business Models
- Predictive Analytics & Data-Driven Decision-Making
