More and more employers seek employees who know AI (artificial intelligence).
In a competitive job market, you may be able to give yourself a leg up by learning about AI and reflecting that knowledge on your resume.
You can do this by including AI in your “success bullets” and by listing relevant courses you have completed and certifications you have achieved.
A tech-savvy colleague compiled the following information on AI.
“AI” can mean many different things.
It can mean:
— Using an AI tool like ChatGPT, that’s pretty much already designed for users, but you need to provide the right “prompt” to get the desired output (sometimes also called a “prompt engineer”).
—Integrating an AI tool like ChatGPT into existing workflows and business functions. This is usually closer to software development, but there are new tools coming out to make this even easier
— Building new AI-based tools, like combining an AI tool with a particular type of data and some additional logic, so as to create a new product. This often requires some knowledge of how AI models are built and how they can be tuned. This, in turn, requires some knowledge and skill and cannot be picked up by a beginner in a short course.
— Building new AI capabilities entirely. This is closer to data science / AI engineer/researcher type roles, which often require a PhD in math, AI, or machine learning.
When most employers say “AI experience,” they likely want either the first or second bullet.
The first can be learned in just a few minutes of playing on https://chatgpt.com/ or https://bing.com/chat and some googling for strategies.
These resources may be helpful.
Please note:(1) we believe that all of these courses are free and (2) we cannot personally recommend any of them.
If you explore any of them, we would be very interested in your feedback.:
- Google AI Courses Google offers five courses to learn generative AI from the ground up. Start with an Introduction to AI and finish having a solid understanding of AI as a whole. https://www.cloudskillsboost.google/journeys/118
- Microsoft AI CourseMicrosoft offers an AI course that covers the basics and then more.. Start off with an introduction and continue through learning about neural networks and deep learning. https://microsoft.github.io/AI-For-Beginners/
- Introduction to AI with PythonHarvard University is offering a full 7-week course to explore the concepts and algorithms of AI. Start with the technologies behind AI and end with knowledge of AI principles and machine learning libraries. https://www.edx.org/learn/artificial-intelligence/harvard-university-cs50-s-introduction-to-artificial-intelligence-with-python
- Prompt Engineering for ChatGPTThis six-module course by Vanderbilt University offers beginners a starting point to writing better prompts. Start by learning effective prompting and complete the course knowing how to bend ChatGPT to your will. https://www.coursera.org/learn/prompt-engineering
- ChatGPT Prompt Engineering for DevsOpenAI in collaboration with DeepLearning is offering this course taught by Isa Fulford and Andrew Ng. Start off with best practices and finish with a better understanding of prompting with hands-on practice. https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/
- LLMOpsGoogle Cloud in collaboration with DeepLearning is offering this new course taught by Erwin Huizenga. Go through the LLMOps pipeline of pre-processing training data and adapt a supervised tuning pipeline to train and deploy a custom LLM (large language model). https://www.deeplearning.ai/short-courses/llmops/
- AI Applications and Prompt EngineeringedX has an introductory course on prompt engineering that goes beyond the basics. Start by learning the basics and end knowing how to create your own applications. https://www.edx.org/learn/computer-programming/edx-ai-applications-and-prompt-engineering