Generative AI skills and use cases for beginners
This course provides a comprehensive understanding of AI and Large Language Models (LLMs) such as ChatGPT and Microsoft Copilot, starting from a beginner level through to more advanced applications.
The course is a full day of learning and applying techniques that will enable you to get high-quality and consistent outputs from a wide range of LLMs. No technical knowledge or coding skills are required for the course, and you will leave the session with a strong understanding of prompting techniques and how to apply them to your day-to-day tasks.
This course is ideal for non-technical individuals/professionals with a desire to learn how to use generative AI tools.
Content
- Introduction to AI
- Key language and terms
- Explain the AI landscape
- Introduction to the ChatGPT user interface
- Demonstrating the basic functionality
- Demonstrating advanced use cases
- How to identify use cases
- Introduction to Prompt Engineering
- Prompting Techniques
- Practice the learnings with support
- GPT demonstrations
- Brainstorm AI Assistant possibilities
- Build an AI assistant with support
- Share and demonstrate your AI assistants
- Wrap up/Q&A
Learning Outcomes
- Understand the importance of skills in adopting AI
- Discover the key trends around AI in the workplace
- Learn the fundamentals of interacting with generative AI
- Become proficient at identifying tasks in which you can use AI
- Learn prompt engineering: how to craft clear and accurate prompts
- Discover what a GPT is and the different types of AI assistants
- Learn how to build an AI assistant
Training Method
- Presentation (introduction, applications and trends section)
- Demonstration (trainers showing use cases)
- Exercises (participants experimenting on use cases under guidance)
- Q&A
Organised By
Digital Learning Hub Luxembourg
Certification
Participation OnlyPrerequisites
No prior technical knowledge needed
Planning and location
09:00 - 17:00
09:00 - 17:00
09:00 - 17:00
Your trainer(s) for this course
Benjamin Briggs
Co-founder of Harness AI, Ben is a software engineer with a strong specialisation in systems design and extensive experience in developing and architecting complex software systems. Holding a first-class Bachelor's degree in Computer Science from the University of East Anglia, Ben studied machine learning and AI modules that sparked his deep interest in artificial intelligence. These foundational studies, combined with his expertise in software infrastructure and domain-driven design, have driven his passion for leveraging AI to solve complex problems.
Robert Hopwood
Co-Founder of Harness AI, Robert is an experienced communications specialist with a focus on helping organisations navigate the adoption of new technologies and tools. With a professional background that spans telecommunications, media, and events, Robert has led initiatives that improve workflows, boost efficiency, and engage employees.