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Generative AI (Prompt Engineering) E-learning
This training provides learners with a non-technical background a comprehensive understanding of Generative AI, including ChatGPT, CoPilot, DALL-E, Gemini, and others, and how to leverage these tools to their full potential. These powerful AI language models generate numerous benefits, enhancing efficiency and quality. Knowing how to achieve these benefits is essential to keeping up in today’s world.
The course covers prompt engineering, business use cases, limitations, risks, and hands-on experience using ChatGPT. Students will learn to evaluate and implement ChatGPT for real-world business problems.
This training is suitable for anyone looking to gain foundational knowledge of Generative AI (e.g., ChatGPT, CoPilot, DALL-E, Gemini, etc.) and to understand the opportunities and pitfalls of these tools and how to effectively use them. It is especially valuable for:
- Anyone seeking to work more efficiently and improve quality in tasks such as answering questions, generating content, comparing information, or performing quality checks.
- Professionals who create content (emails, newsletters, documents, reports, posts, chat messages, and general communications).
- Professionals who analyze and process information, including anyone working with Word or Excel, such as administrative staff, financial professionals, legal staff, business analysts, and data analysts.
- Management personnel who need to explore, absorb, and make high-pressure decisions based on large volumes of information, and who would benefit from a tool that enables quick, in-depth information processing.
- Professionals in visual content creation, from images to videos and more.
Candidates should be able to demonstrate a knowledge and understanding in the following topics:
- Generative AI, Prompting, the various AI tools (NLPs) available, and the possibilities they offer.
- Development of critical thinking skills to evaluate the potential of ChatGPT, CoPilot, DALL-E, etc., in various business use cases.
- Insight into the architecture behind generative AI models.•Mastery of prompt engineering for effective interaction with Generative AI, including ChatGPT.
- Learning how to integrate Generative AI, including ChatGPT, into existing workflows.
- Understanding the limitations and risks of Generative AI, such as the error margins and hallucinations associated with tools like ChatGPT and CoPilot.
- An understanding of upcoming EU regulations concerning Generative AI under the AI Act.
Candidates should be able to demonstrate a knowledge and understanding in the following topics:
- Generative AI, Prompting, the various AI tools (NLPs) available, and the possibilities they offer.
- Development of critical thinking skills to evaluate the potential of ChatGPT, CoPilot, DALL-E, etc., in various business use cases.
- Insight into the architecture behind generative AI models.•Mastery of prompt engineering for effective interaction with Generative AI, including ChatGPT.
- Learning how to integrate Generative AI, including ChatGPT, into existing workflows.
- Understanding the limitations and risks of Generative AI, such as the error margins and hallucinations associated with tools like ChatGPT and CoPilot.
- An understanding of upcoming EU regulations concerning Generative AI under the AI Act.
- Module 1: What is Generative AI
- Module 2: Core Concepts of Generative AI
- Module 3: Prompt Engineering
- Module 4: Business Field Applications of Generative AI
- Module 5: Generative AI Tools
- Module 6: Generative AI Wrap-Up
- Module 7: Trial Exam
Exam Information
- 40 Multiple-choice questions
- 65% pass mark
- 60 minutes exam duration
- Closed book
There are no mandatory prerequisites.
-
Overview
Candidates should be able to demonstrate a knowledge and understanding in the following topics:
- Generative AI, Prompting, the various AI tools (NLPs) available, and the possibilities they offer.
- Development of critical thinking skills to evaluate the potential of ChatGPT, CoPilot, DALL-E, etc., in various business use cases.
- Insight into the architecture behind generative AI models.•Mastery of prompt engineering for effective interaction with Generative AI, including ChatGPT.
- Learning how to integrate Generative AI, including ChatGPT, into existing workflows.
- Understanding the limitations and risks of Generative AI, such as the error margins and hallucinations associated with tools like ChatGPT and CoPilot.
- An understanding of upcoming EU regulations concerning Generative AI under the AI Act.
-
Learning outcomes
Candidates should be able to demonstrate a knowledge and understanding in the following topics:
- Generative AI, Prompting, the various AI tools (NLPs) available, and the possibilities they offer.
- Development of critical thinking skills to evaluate the potential of ChatGPT, CoPilot, DALL-E, etc., in various business use cases.
- Insight into the architecture behind generative AI models.•Mastery of prompt engineering for effective interaction with Generative AI, including ChatGPT.
- Learning how to integrate Generative AI, including ChatGPT, into existing workflows.
- Understanding the limitations and risks of Generative AI, such as the error margins and hallucinations associated with tools like ChatGPT and CoPilot.
- An understanding of upcoming EU regulations concerning Generative AI under the AI Act.
-
Course outlines
- Module 1: What is Generative AI
- Module 2: Core Concepts of Generative AI
- Module 3: Prompt Engineering
- Module 4: Business Field Applications of Generative AI
- Module 5: Generative AI Tools
- Module 6: Generative AI Wrap-Up
- Module 7: Trial Exam
Exam Information
- 40 Multiple-choice questions
- 65% pass mark
- 60 minutes exam duration
- Closed book
-
Prequisites
There are no mandatory prerequisites.