July 2024
Intermediate
2h 15m
English
on-demand course
Prompt Engineering Deep Dive: From Prototyping to Designing Prompt Engineering Experiments
with Lucas Soares
Closed Captioning available in German, English, Spanish, French, Italian, Japanese, Korean, Portuguese (Portugal, Brazil), Chinese (Simplified), Chinese (Traditional)
Overview
This course delves into the emerging field of prompt engineering, focusing on how to effectively interact with AI models to achieve precise outcomes. As AI becomes increasingly integrated into various professional fields, understanding how to communicate with these systems is crucial. This course addresses common challenges faced by AI and data professionals, software developers, and business analysts in extracting accurate and relevant responses from AI models. By teaching skills like crafting effective prompts, applying advanced techniques like Chain of Thought Prompting, and teaching the foundations for creating complex prompt engineering experiments, participants will enhance their ability to leverage AI in their respective roles, leading to more efficient problem-solving and decision-making processes.
What you’ll learn and how to apply it
- By the end of this course, learners will be able to apply prompt engineering techniques to optimize interactions with AI models in various professional settings as well as design intricate prompt engineering experiments.
- Upon completing the first module, participants will understand the fundamental concepts of prompt engineering and be skilled in crafting effective prompts for diverse AI applications.
- By the end of the second module, attendees will master advanced prompt engineering techniques from few-shot prompting to knowledge generation, least-to-most prompting and more.
- In the third module, attended will apply their skills across a variety of different settings, putting the entire toolkit of prompt engineering skills learned during the course into practice.
This course is for you because
This course is designed for professionals with roles like:
- Software Developers
- Data Scientists, Business Analysts
- ML/AI Architects
- Cloud Solutions Architects
Prerequisites
- Basic knowledge of Python programming and scripting
- Basic understanding of Language Models: text completion, inference
- Basic understanding of Machine Learning concepts: training models, inference and evaluation metrics
- Familiarity with text-based AI applications: having used ChatGPT or other LLMs before
Course Materials:
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