Short Course
Artificial Intelligence
Generative AI Mastery In Industry 4.0
Overview
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.
Who Should Attend
This course is intended for
- Tech industry professionals who is seeking to integrate AI into their operations or products
- Data scientists and analysts who are interested in leveraging AI for data interpretation and strategy
- Software developers who are looking to implement AI in coding and software development
- Marketing executives aiming to harness AI for creative strategy and consumer analytics
- Healthcare practitioners who are exploring AI applications for patient care and medical research
Pre-requisites
- No pre-requisite required
- Participants are required to bring their own laptop PC or MacBook for the practical hands-on portions of the workshop
1 Day
8 Hours
Level
Beginner
What You Will Learn
Comprehend Industry 4.0 and Digital Transformation
Learners will understand the key principles of Industry 4.0 and how digital transformation, data, automation, and intelligent technologies are reshaping modern industries and business operations.
Understand the Foundations of Artificial Intelligence and Generative AI
Participants will develop a solid understanding of artificial intelligence concepts, the different levels of AI, and the core principles, capabilities, and limitations of Generative AI technologies.
Explain the Working Principles of Large Language Models and Generative AI
Learners will explore how Generative AI systems, including Large Language Models (LLMs) and Generative Adversarial Networks (GANs), are trained and generate text, images, code, and other forms of content.
Apply Prompt Engineering Techniques for Effective AI Interaction
Participants will learn how to design clear and effective prompts that improve the quality, relevance, and accuracy of AI-generated outputs for a variety of business and professional applications.
Utilize Generative AI for Productivity and Content Creation
Learners will be able to apply Generative AI tools to generate written content, summarize information, assist with research, create presentations, produce creative media, and automate routine tasks to improve productivity.
Evaluate and Select Appropriate Generative AI Tools
Participants will become familiar with leading Generative AI platforms and applications, including ChatGPT, Grammarly, GitHub Copilot, image generation tools, and other AI assistants, and understand how to select the most suitable tool for specific use cases.
Recognize Ethical, Responsible, and Secure Use of Generative AI
Learners will understand the ethical considerations, privacy concerns, intellectual property issues, bias, and responsible AI practices necessary for the safe and effective adoption of Generative AI in professional environments.
Course Outline
Day 1
- Introducing Generative AI
- Industry 4.0 and digital transformation
- Technology innovation and dependency on data
- What are levels of AI
- What is Generative AI
- Understanding GANs
- Generative AI solutions
- Generating content
- Writing Assistance
- Text to speech solutions
- Visual content
- Code generation
- Industrial Applications
- Healthcare
- Marketing and Advertising
- Finance
- Software Engineering
- Data Analysis
- Common Generative AI tools
- Grammarly
- ChatGPT
- Canvas
- GitHub Copilot
Trainers Profile
Christopher Magendran
Christopher Magendran is currently a tech venture builder at Jukuru and he runs a tech consultancy firm called TSiD as well developing and consulting for local SMEs in Singapore. He currents leads a tech team in building enterprise software solutions for local SMEs and also designing and developing agentic AI workflows.
