Build Your AI Awareness Skills: GenAI Tips for Nontechnical Users
49mBeginner2025-04-11
Authors
ARQ LONDON
Carolyn Shepherd
Course details
This course covers the essential concepts of AI and generative AI, equipping nontechnical users with the knowledge to apply these tools effectively in professional settings. Topics include advanced AI writing techniques, practical applications for creating reports and presentations, hands-on practice for real-world scenarios, and strategies for troubleshooting common challenges faced by non-technical users. By the end of the course, you should feel more confident in using AI to enhance your productivity and drive innovation in your work.
Learning objectives
Understand foundational AI concepts, including generative AI, in simple terms to demystify how these tools can be used effectively in non-technical roles.
Use generative AI tools confidently to perform a range of professional tasks, such as crafting documents, presentations, and communications, beyond basic email writing.
Assess the impact of AI tools on personal productivity and identify ways to innovate and enhance task efficiency in a professional setting.
Learning objectives
Understand foundational AI concepts, including generative AI, in simple terms to demystify how these tools can be used effectively in non-technical roles.
Use generative AI tools confidently to perform a range of professional tasks, such as crafting documents, presentations, and communications, beyond basic email writing.
Assess the impact of AI tools on personal productivity and identify ways to innovate and enhance task efficiency in a professional setting.
Skills covered
AI for Business FoundationsAI Productivity ToolsArtificial Intelligence for BusinessBusiness Software and ToolsOne-Off
Concepts
0. Introduction
- 01 - Demystify AI and boost your confidence and productivity
1. The Basics
- 02 - AI is already part of your life at work
- 03 - Machine learning - Practice makes perfect
- 04 - When AI gets creative - The rise of generative technology
- 05 - Evolution of GPT models and large language models (LLMs)
- 06 - GPT s impact on customer support and professional settings
2. Talking with GPT Models
- 07 - Developing a collaborative mindset to work with AI
- 08 - Crafting the conversation - The art of prompting an AI assistant
- 09 - Interpreting AI responses - Reading between the lines
- 10 - Building a feedback loop with AI
3. Working with GPT Models
- 11 - Creating presentations and summaries with AI tools
- 12 - Telling the story with data - Generating reports with AI
- 13 - Beyond basics - Problem-solving using the TRIZ method
4. Addressing Common Challenges
- 14 - Protecting your data - Privacy and security in AI tools
- 15 - Ethics and job displacement concerns with AI
Conclusion
- 16 - Empowered to thrive with AI