Introduction to Prompt Engineering for Generative AI
1h 2mBeginner2024-08-28
Authors

Ronnie Sheer
Software Developer and Instructor
Course details
Learn how to craft high-impact prompts for generative AI tools. Whether you’re a beginner or have been experimenting with generative AI tools, this course offers a great introduction to the art of prompt engineering. Senior AI engineer Ronnie Sheer guides you through what large language models are and what problems they may be able to solve. Ronnie dives into text generation, starting with a warning to use text generation AI responsibly, then moving on to Copilot, ChatGPT, Gemini, and Claude. He introduces you to the AI generated image landscape, then shows you how to use Dall-E and Midjourney. Plus, Ronnie goes over advanced concepts like fine-tuning your prompts and interacting with language models using an API.
Learning objectives
Understand the concept of prompt engineering and its importance in effective interaction with generative AI systems.
Use generative AI tools like ChatGPT, Google Gemini, Microsoft Copilot, and Anthropic's Claude to generate text and images for different applications.
Explain the basic components of AI tools, including tokens in the context of generative AI.
Evaluate the capabilities and limitations of language models to determine which problems can be solved by them.
Demonstrate awareness of ethical and security considerations in responsible AI use.
Learning objectives
Understand the concept of prompt engineering and its importance in effective interaction with generative AI systems.
Use generative AI tools like ChatGPT, Google Gemini, Microsoft Copilot, and Anthropic's Claude to generate text and images for different applications.
Explain the basic components of AI tools, including tokens in the context of generative AI.
Evaluate the capabilities and limitations of language models to determine which problems can be solved by them.
Demonstrate awareness of ethical and security considerations in responsible AI use.
Skills covered
ClaudeAnthropicGeminiMicrosoft CopilotChatGPTOpenAIAI Productivity ToolsGenerative AIArtificial Intelligence FoundationsGoogleArtificial Intelligence (AI)Business Software and ToolsMicrosoftOne-Off
Concepts
0. Introduction
- 01 - Joining the NLP revolution
- 02 - What is prompt engineering
- 03 - Tokens vs. words
- 04 - Large language models
1. Text Generation
- 05 - Diving into ChatGPT
- 06 - ChatGPT voice mode on mobile
- 07 - Taking Google Gemini for a ride
- 08 - Exploring Microsoft Copilot
- 09 - Few-shot learning with Claude
- 10 - Challenge - Zero-shot, few-shot learning
- 11 - Solution - Zero-shot, few-shot learning
2. AI-Generated Images and Video
- 12 - The AI-generated image landscape
- 13 - Trying out Dall-E
- 14 - Trying out Midjourney
- 15 - Challenge - Generating a poster
- 16 - Solution - Generating a poster
3. Advanced Concepts
- 17 - Creating a custom GPT
- 18 - Multimodality in AI
- 19 - Model fine-tuning
- 20 - Interacting with language models using an API
Conclusion
- 21 - Warning - Use responsibly
- 22 - Continuing your AI journey