From Prompt to Productivity with Generative AI – Including Exam
ChatGPT is one of the most powerful AI language models currently available on the market!
In our daily lives, we are increasingly encountering artificial intelligence (AI). A well-known example of this is the ChatGPT language model. This application is capable of generating text and using it to respond to user prompts (requests). ChatGPT can assist you in answering questions, summarizing long texts, and debugging your written code. However, it remains a language model, so it is crucial to understand what it can and cannot do.
During this training, we’ll teach you everything about the capabilities, risks, and limitations of ChatGPT. We’ll also explore how to use ChatGPT to make tasks easier and/or more enjoyable. Users will be introduced to “prompt engineering” (writing requests as effectively as possible) to ensure ChatGPT understands exactly what answer is being asked for. We’ll also explore the additional features of the ChatGPT Plus version, including various plugins and Advanced Data Analysis. Finally, we’ll discuss various ethical issues surrounding the use of ChatGPT and take a look at the future.
Duration: 1 day(s)
- People who need a basic understanding of ChatGPT
- Professionals who want to learn about the capabilities and pitfalls of ChatGPT and how to handle them
- Business Analyst
- Every department in a company. Bring your own use case!
- Gain a comprehensive understanding of ChatGPT and its capabilities
- Develop critical thinking skills to evaluate ChatGPT’s potential in various business use cases
- Gain insight into the architecture behind the model
- Mastering the skill of prompt engineering for effective interaction with ChatGPT
- Learning how to integrate ChatGPT into existing workflows
- Understanding the limitations and risks of ChatGPT
- Creating your own business case
- Preparing for the official exam.
Content
Contents
1. Fundamentals
- Introduction to Generative AI and ChatGPT
- Understanding NLP and ChatGPT's language generation capabilities.
- How does ChatGPT differ from other chatbots?
2. ChatGPT Architecture
- Supervised model
- Human reinforcement learning
- Proximal Policy Optimization
3. Applying ChatGPT
- 4 Rules for Working with Generative AI
- 5-question framework for writing a good prompt. Including testing and iteration.
4. Integration of ChatGPT
- Critical thinking regarding ChatGPT business cases
- Ways to integrate ChatGPT into workflows.
5. Limitations, Risks, and Business Guidelines
- Limitations, risks, and business guidelines
- Ethical guidelines and legal considerations
Required knowledge
- No prior knowledge required


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