Prompt Engineering for Researchers
Master the art of prompt engineering to accelerate your research. Learn to leverage LLMs like ChatGPT, Claude, and DeepSeek for literature review, hypothesis generation, coding, and automation.
What You'll Learn
Practical prompt engineering skills to streamline your research workflow. Learn to get better results from AI tools without needing to write code.
Self-Paced
100% Online
Course Content
Introduction to LLMs
Understand what LLMs are, the impact of ChatGPT, and key parameters. Includes hands-on practice with ChatGPT and Poe.com.
- Theory: Mechanics & Impact
- Practice: Basic Interaction
LLM Basics
Dive into prompt structure, engineering, and patterns. Learn about summarization, context windows, and audience personas.
- Theory: Prompt Patterns
- Practice: Persona Prompts
Prompt Engineering I
Master core strategies: Flipped Interactions, Few-Shot Prompts, and Chain of Thought reasoning for research proposals.
- Theory: Strategies & Logic
- Practice: Applying Techniques
Prompt Engineering II
Advanced techniques: Templates, Filtration, Outline Expanders, and Self-Reflection. Learn to combine prompts effectively.
- Theory: Advanced Patterns
- Practice: Complex Scenarios
AI Reasoning Modules
Explore AI reasoning with DeepSeek R1 and OpenAI o1. Learn "Vibe Coding" and accelerate literature reviews.
- Theory: Reasoning Models
- Practice: Vibe Coding
Automation & Final Remarks
Understand automation levels, limitations, and detection tools. Create automated workflows for articles and presentations.
- Theory: Ethics & Tools
- Practice: Workflow Automation
Meet Your Instructor
Dr. Mohamed Fadlalla
AI & Biomedical Specialist
A dedicated professional focusing on the intersection of AI and biomedicine. Passionate about teaching researchers how to utilize advanced computational tools to streamline academic workflows and data analysis.