Course Overview
Master generative AI tools and learn effective prompt engineering techniques to enhance your productivity and learning capabilities.
Learning Outcomes
By the end of this course, you will be able to:
- Understand how Large Language Models (LLMs) work and their capabilities
- Craft effective prompts for various tasks and applications
- Apply advanced prompting techniques including zero-shot and few-shot learning
- Identify and avoid common prompting errors and limitations
- Use ChatGPT, Gemini, and other AI tools effectively across different versions
Course Modules
Module 1: Introduction to Generative AI (1 hour)
Explore AI systems that generate content from textual inputs, producing diverse, human-like outputs in various forms.
Module 2: Introduction to LLMs and its Working (1.5 hours)
Understand Large Language Models (LLMs), which utilize vast data to predict text, enhancing tasks like translation and content generation.
Module 3: Basics of Prompt Engineering (2 hours)
Delve into Prompt Engineering basics, examine key components of effective prompts, and analyze illustrative examples to enhance model interaction and output control.
Module 4: Defining a Good Prompt with examples (2 hours)
Learn how to craft effective prompts for AI, enhancing accuracy and relevance with practical examples.
Module 5: Advanced Prompt with examples (1 hour)
Explore advanced prompt techniques:
- Zero-shot learning
- Few-shot learning
- Chain of thought processes for enhanced model interaction
Module 6: Prompting Errors and Limitations (1 hour)
Examine common prompting errors and limitations of generative models, focusing on improving accuracy and reducing biases in outputs.
Module 7: Applications of Prompt Engineering (1 hour)
Discover how prompt engineering enhances AI applications, improving content generation, code development, and customer interactions across various sectors.
Module 8: Introduction to ChatGPT/Gemini/Deepseek and its Versions (1 hour)
Learn about the features and functionalities of:
- ChatGPT 4.5, o1, and o3-mini
- Key improvements across versions
- How to execute sample prompts across different versions for optimal usage
Topics Covered
- Introduction to AI tools: ChatGPT, Claude, and other assistants (1 hour)
- What AI can and cannot do: capabilities and limitations (1 hour)
- Crafting effective prompts for learning and research (2 hours)
- Using AI for writing, brainstorming, and problem-solving (1 hour)
- Fact-checking AI-generated content and ethical AI use (1 hour)
Notes
- Expected time: 8 modules averaging 1 hour each
- Covers from basic concepts to advanced level prompting
- Focused on GUI versions of Generative models (Code-based examples will also be shared and explained)
- Anyone irrespective of their level of expertise in tech can take this course
- Entry level students are the primary focus