Course Contents for Prompt Engineering by Velarima Academy
Module 1: Introduction to Prompt Engineering
- Understanding the role of prompts in AI models
- Overview of generative AI and Large Language Models (LLMs)
- Applications of prompt engineering in various industries
- Case studies showcasing the impact of effective prompts
Module 2: Foundations of Prompt Design
- Principles of Crafting Effective Prompts
- Types of prompts: Direct, Few-shot, Zero-shot, and Chain-of-Thought
- Using context effectively in prompts
- Understanding token limits and their implications
Module 3: Techniques and Best Practices
- Refining and iterating prompts for better responses
- Prompting strategies for specific tasks (e.g., summarization, coding, creative writing)
- Avoiding bias and ethical considerations in prompt engineering
- Debugging and troubleshooting prompts
Module 4: Advanced Prompting
- Using APIs and tools to enhance prompts
- Exploring prompt templates and dynamic prompting
- Integration of prompts with workflows and automation
- Designing multi-step prompts for complex tasks
Module 5: Hands-on Labs and Projects
- Real-world scenarios and exercises
- Building prompt libraries for business use cases
- Group projects: Solving industry-specific problems using AI
- Peer reviews and collaborative brainstorming
Module 6: Tools and Frameworks
- Overview of platforms supporting LLMs (OpenAI, Hugging Face, etc.)
- A practical introduction to using Python for LLM integration
- APIs and SDKs for deploying prompt-based solutions
- Exploring prompt engineering tools like LangChain
Module 7: Special Topics
- Prompt engineering for multimodal models
- Understanding the role of fine-tuning and few-shot learning
- Future trends and innovations in prompt engineering
- Exploring career opportunities in AI and prompt engineering
Module 8: Capstone Project
- Developing a comprehensive solution using prompt engineering
- Presenting the project to an expert panel
- Receiving feedback and certification
Target Audience:
Students, professionals, and enthusiasts interested in leveraging the power of AI through prompt engineering.
Duration:
4–6 weeks, including hands-on projects and assessments.
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