Course spotlight: Coursera’s Google AI EssentialsOur assessment: Best for beginners Coursera’s Google AI Essentials stands out as a flexible, beginner-friendly course that shows how to use generative AI to speed up everyday work tasks such as writing emails, summarizing meetings or solving math problems.
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Earlier this year, NVIDIA CEO Jensen Huang predicted that generative AI is “closing the technology divide” in part because of prompt engineering, or the ability to call information and actions from the AI model through natural language. Programming remains an important skill, he said, but “We all need to learn how to prompt AIs.”
What is prompt engineering?
Since generative AI interprets natural language, prompt engineering is the process of structuring and choosing the right words for the model to interpret. Prompt engineering can be deceptively simple, sometimes involving directly telling the AI model what audience it should write for, or emphasizing when an element of the prompt is “really, really important.” Prompt engineering can seem mysterious, but there often isn’t much of what is typically thought of as engineering involved at all. However, prompt engineering does intersect with a lot of other elements of working with generative AI, all of which involve a lot to explore and learn.
SEE: We’ve curated the best courses for learning about AI generally.
While there are a lot of courses on prompt engineering, we’ve chosen modules that specifically result in certificates of completion. You can use these certifications to work toward your professional goals. Certifications can be included on your resume to show initiative and continuing education. We based our selections on reviews, community sentiment, the depth and variety of topics offered and the practicality of the information.
Other good resources for exploring prompt engineering, which may or may not include options for receiving a certification, are Learn Prompting and DeepLearning.AI.
Disclaimer: This article is sponsored by Coursera.
Best prompt engineering certifications: Comparison table
| Course | |||
|---|---|---|---|
| Google AI Essentials (Coursera) | |||
| The Complete Prompt Engineering for AI Bootcamp (2024) (Udemy) | |||
| Generative AI for Data Engineers Specialization (Coursera) | |||
| Prompt Engineering Specialization (Coursera) | |||
| Generative AI with LLMs (Coursera) |
Google AI Essentials: Best for beginners
One of the elements this course covers is to “Write clear and specific prompts to get the output you want,” but this course is also a good overview of generative AI and results in a certificate of completion. This course and certification were produced as part of Grow with Google, a workforce training initiative; therefore, you can be reassured Google quality assurance applies to the material.
This course consists of these modules:
- Introduction to AI.
- Maximize Productivity with AI Tools.
- Discover the Art of Prompt Engineering.
- Use AI Responsibly.
- Stay Ahead of the AI Curve.
Pricing
This certification requires a Coursera account, which for an individual costs $49-$79 per month with a 7-day free trial, depending on the course and plan.
Duration
Coursera states the course takes 9 hours to complete.
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Prerequisites
This course has no prerequisites.
The Complete Prompt Engineering for AI Bootcamp (2024): Best for established professionals
The Complete Prompt Engineering for AI Bootcamp (2024) is one of the most up-to-date prompt engineering courses we found on Udemy. The instructors most recently updated it in May 2024, adding information about the ChatGPT desktop app and other information. This is a hands-on course for coders — it includes how to use Python, Langchain, the Stable Diffusion manager AUTOMATIC1111 for image generation and more to get the most out of generative AI, as well as instructions on how to refine prompts, teach an AI to perform a role and more.
Pricing
This course typically costs $109.99, but it will sometimes be on sale.
Duration
This course includes 17 hours of video, as well as assignments you will need to complete at your own pace.
| Pros | Cons |
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Prerequisites
To take this course, you should be able to read and write in Python.
Generative AI for Data Engineers Specialization: Best for data engineers
This specialization results in a certification proving you’ve completed three courses:
- Generative AI: Introductions and Applications.
- Generative AI: Prompt Engineering Basics.
- Generative AI: Elevate Your Data Engineering Career.
All of the courses were developed by IBM. We recommend all three courses to get the most value out of the certification, but you can choose which topic and time span work best for you.
Pricing
All three courses can be accessed through a Coursera subscription at $49-$79 per month with a 7-day free trial.
Duration
The materials for this certification span 25 hours total.
| Pros | Cons |
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Prerequisites
People taking the data engineering section should have some experience in data engineering. The introductions to generative AI and prompt engineering do not require prerequisites or experience.
Prompt Engineering Specialization: Best for people who work with ChatGPT
The Prompt Engineering Specialization from Vanderbilt University on Coursera includes three courses:
- Prompt Engineering for ChatGPT.
- ChatGPT Advanced Data Analysis.
- Trustworthy Generative AI.
We chose this specialization because it focuses on the specifics of prompt engineering with one popular AI application — ChatGPT — but also covers how to produce results that are as accurate as possible from generative AI in general.
Pricing
All three courses can be accessed through a Coursera subscription at $49-$79 per month with a 7-day free trial.
Duration
The materials for this certification span 36 hours total.
| Pros | Cons |
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Prerequisites
For the ChatGPT Advanced Data Analysis portion, a ChatGPT+ subscription and access to Code Interpreter are required. If you’re taking the Trustworthy Generative AI course, you should have some familiarity with other generative AI applications like Google Gemini or Anthropic’s Claude.
Generative AI with LLMs: Best for people who use AWS
DeepLearning.ai was founded by Andrew Ng, who also co-founded Coursera, and offers a wide variety of free courses — some of which, like this one, are co-hosted on Coursera. This course focuses on using AI with AWS. It includes “advanced prompting techniques” and configuration parameters for generative AI. It may be especially suitable if you already know your way around AWS and want to build and deploy AI with it.
Pricing
A Coursera subscription costs $49-$79 per month with a 7-day free trial.
Duration
15 hours.
| Pros | Cons |
|---|---|
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Prerequisites
This course is appropriate for people already working as data scientists, research engineers or machine learning engineers. You should have some experience working in Python if you want to take this course.
Best overall certification
While which certification is right for you will depend on your specific experience and goals, our pick for the best overall certification is The Complete Prompt Engineering for AI Bootcamp because it covers a broad range of topics and contains updated information.
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