Free - AI Agents Workshop (Cantonese Speaker)

AI Agents are intelligent software programs that use artificial intelligence to independently perform tasks. They leverage advanced technologies such as large language models (LLMs) to process information, make decisions, and interact with users or systems. For example, AI agents can power chatbots to answer customer inquiries, analyze marketing data, or automate routine tasks in industries such as healthcare and retail. These agents are built using tools like Python, Zapier, or LangChain, capable of understanding natural language, adapting to various scenarios, and integrating with cloud platforms like Microsoft Azure for scalability. By automating workflows and providing personalized solutions, AI agents enhance efficiency and drive innovation, becoming indispensable tools for businesses in the digital age. Their ability to learn and adapt ensures they effectively meet diverse needs. With the rapid advancement of artificial intelligence (AI) technologies, AI agents have become key tools for enhancing efficiency and innovation across industries. From automating customer service to optimizing marketing strategies, AI agents are transforming the way businesses operate. Instructor Introduction: K.S. Lee K.S. Lee is a senior IT technology developer and current big data analytics expert, graduated from The University of Hong Kong and The Hong Kong Polytechnic University, holding a Bachelor's and Master's degree in Computer Science, with over twenty years of development experience, consistently dedicated to big data analytics. He is highly proficient and skilled in big data mining and analysis using open-source platforms such as R and Python. K.S. Lee actively participates in various big data analytics projects and serves as a lecturer at multiple tertiary institutions, possessing over ten years of teaching experience with numerous students taught. His teaching scope covers various areas including Machine Learning, Data Science, Data Mining, and FinTech. In addition to teaching different theories, he also shares industry work experiences with students. For further information, please call 3106 8213 for enquiries.