Join AI expert Victor de Graaff, founder of the international data science consultancy D-Data, for a 3.5-hour-long session covering basic and more advanced uses of ChatGPT, as well as the wider world of natural language processing and generative AI.
Practice prompt engineering, an essential skill for harnessing ChatGPT's full potential.
Gain insights into natural language processing and working with AI language models.
Explore real-world case studies that showcase generative AI in action.
Introduction (15 min)
What is generative AI?
Where is AI already being used, and what should we expect in the coming years?
How will AI impact society?
ChatGPT introduction (25 min)
What is ChatGPT and how does it work?
Natural language processing and the architecture of ChatGPT
ChatGPT as your partner or digital counterpart
What are the capabilities of ChatGPT? What about risks and limitations?
Opportunities with ChatGPT (30 min)
Practical examples and applications of ChatGPT
Tips and tricks for first use
Break (10 min)
Prompt engineering (30 min)
What is a prompt?
How to create a well-structured prompt
Examples of coding and modeling in ChatGPT
Individual case study (20 min)
ChatGPT plus features (30 min)
Plugins, APIs, and training your own AI chatbot
What are the benefits of a ChatGPT Enterprise membership?
Break (10 min)
Ethical questions (20 min)
Beyond ChatGPT (20 min)
Exploring other NLP models
Text-to-image, text-to-video, text-to-speech, and more
The future of generative AI
About your instructors
Victor de Graaff
Founder & Data Strategist at D-Data
Victor is a data scientist and entrepreneur with a PhD in recommender systems. His company, D-Data, brings a data-driven approach to organizations including ING Bank, Heineken, Unilver, and more in the field of large language models like ChatGPT and computer vision models like YOLO. Victor’s specialization in data science has covered many topics, including recommender systems, market forecasting, sentiment analysis, and generative AI.
Data Scientist at D-Data
Fabienne is passionate about artificial intelligence. With her academic background in mathematics, she has a strong foundation in the concepts that form the core of numerous AI algorithms. Her specialization in stochastic models enables her to comprehend and teach advanced AI techniques, including ChatGPT's architecture.