personal development

Artificial Intelligence (AI) has become a significant focus today, and, like everything, it can be a benefit or a detriment based on how it is used. This Google course was a handy introduction to prompt engineering. Prompts entered as human language are the inputs you give an AI model, which then produces an output. How well you craft your prompts determines the quality of the model's output.

Topics included getting the most out of AI with the prompt framework, generating better outputs through iteration, multimodal prompting, responsible prompting, prompt chaining, ideas for AI agents and more. With focused exercises and the chance to practice what was covered, this was worthwhile training.

This course helps to gain practical hands-on experience with generative AI tools. 

Topics covered include using generative AI tools to develop ideas and content, making more informed decisions, speeding up daily work tasks, writing clear, specific prompts, using AI responsibly, identifying potential biases and avoiding harm, and developing strategies to stay up to date in the emerging landscape of AI.

Another valuable course delivered by Google employees to help make the best use of this technology.

Covers foundational knowledge, practical skills, and a functional understanding of how generative AI works. The latest research on Gen AI aims to understand how companies are creating value with cutting-edge technology. 

This IBM course covered Generative AI, Large Language Models (LLMs), Prompt Engineering, Prompt Patterns, and Tools for Prompt Engineering.

This badge signifies practical skills in working with Generative AI, including hands-on experience with large language models and prompt engineering techniques.

This Vanderbilt University course covered In-Context Learning, Retrieval Augmented Generation (RAG), Template Pattern and Examples, AI Capabilities for Everyday Use.