Mastering AI prompts
Dr. Elias Thorne
Certificate Included
Beginner
300+ students
Summary:
Prompt engineering is the foundational skill for the AI era. This course moves beyond basic commands to teach you the advanced structures and frameworks that unlock truly powerful AI outputs. Learn the C-R-A-F-T and other professional models to ensure clarity, consistency, and accuracy from any Large Language Model (LLM). Transform your AI interactions from simple questions into collaborative, strategic dialogues to get better results, faster.
What you'll learn:
Deconstruct and apply the essential components of an effective prompt (Role, Context, Task) to get precise outputs.
Master advanced prompting styles, including Few-Shot and Chain-of-Thought, to guide the AI's reasoning.
Implement the professional C-R-A-F-T framework for designing specific and reusable prompts.
Learn techniques for iterative refinement to quickly fine-tune and correct AI responses.
Apply advanced prompts for data analysis, summarization, and extracting actionable insights from large texts.
Develop a system to store, categorize, and share a library of your most effective prompts across a team.
General Info
Date Released
Jul 3, 2025
Total Lessons
6
Total Duration
1 hr 45 mins
Students Enrolled
140+
Course files
Prompt library set up file
CRAFT prompt checklist
Prompting examples sheet
Lesson 1: Prompt Anatomy: Role, Context, Task
15 mins
Deconstruct the essential components of any effective prompt and understand the 'why' behind each element.
Lesson 2: Prompting Styles: Zero, Few-Shot, Chain-of-Thought
20 mins
Explore advanced techniques for guiding the AI's reasoning and providing examples for superior results.
Lesson 3: The C-R-A-F-T Framework
25 mins
A deep dive into the professional framework for designing highly specific and reusable prompts.
Lesson 4: Iterative Prompt Refinement
30 mins
Master the art of fine-tuning responses by using follow-up prompts and self-correction techniques.
Lesson 5: Prompting for Data Analysis & Summarization
20 mins
Strategies for feeding data to an LLM and extracting accurate summaries, insights, and action items.
Lesson 6: Managing a Prompt Library
15 mins
Learn how to store, categorize, and share your most effective prompts across a team for consistent results.
Dr. Thorne is a leading authority on Natural Language Processing (NLP) and the science of human-AI communication. With a Ph.D. in Computational Linguistics from MIT, he spent five years as a Principal Researcher at a major LLM developer, focusing on model alignment and prompt efficacy. Elias created and teaches the industry-standard C-R-A-F-T prompting methodology and now trains executives and technical teams worldwide to unlock the full potential of Generative AI.
