DeepLearning.AI (with OpenAI)
ChatGPT Prompt Engineering for Developers Review — Is DeepLearning.AI's Free Short Course Worth It?
ChatGPT Prompt Engineering for Developers is the closest thing prompt engineering has to an official starting point, and for a free one-hour course it punches far above its weight. The instructor pairing — OpenAI's Isa Fulford demonstrating while Andrew Ng asks the questions a beginner would — is as credible as it gets, and the runnable in-browser notebooks mean you are writing and testing prompts within minutes, with no API key or setup. Reviewers across Medium and the OpenAI forums converge on the same verdict: brilliant, concise, and genuinely useful, especially if you write code. The honest limits are about scope and age, not quality. It assumes basic Python, so non-technical learners hit a wall immediately; it was built in April 2023 on GPT-3.5 Turbo and has not been meaningfully updated, so it predates tool calling, structured outputs, and reasoning models; and advanced practitioners will finish wanting more on building LLMs into real applications. Treat it as a foundation, not a ceiling. Take it free in an afternoon, then move on to building-systems and RAG-oriented follow-ups for the production half.
Final score
from 44 analysed opinions
Published AI-researched, editor-audited
Distribution of opinions
Per-criterion scores
Two core principles (write clear and specific instructions, give the model time to think) plus modules on iterative prompt development, summarizing, inferring, transforming, expanding, and building a chatbot. Reviewers praise the clarity and the runnable Jupyter notebooks. The honest limit is depth: it was built in April 2023 on GPT-3.5 Turbo and does not cover newer patterns like tool calling, structured outputs, or reasoning models.
Isa Fulford (OpenAI) and Andrew Ng (DeepLearning.AI) are about as authoritative as the field gets. The teacher-student dynamic — Ng asking the clarifying questions a beginner would ask while Fulford demonstrates — is repeatedly cited as a strength that mirrors how learners actually think.
Free on the DeepLearning.AI platform with every code example runnable in-browser, no API key or local setup required. Reviewers consistently call out "the best part is that it's free" as a decisive advantage over the paid prompt-engineering courses that flooded the market in 2023.
Being a one-hour self-paced short course, there is no graded assignment, cohort, or mentor support. The OpenAI and DeepLearning.AI community forums are active and useful, but learners are largely on their own. For a course this short the need is limited, but there is no structured help.
Six practical use cases implemented end-to-end give learners patterns they can apply the same day. Developers report it directly improved their ability to build LLM features. The caveat is that the API-level patterns are a foundation, not a production blueprint — several reviewers wanted more on structuring LLMs into real applications.
What learners said
What people loved
6- Taught by Isa Fulford (OpenAI) and Andrew Ng — about as authoritative an instructor pairing as prompt engineering has×21
- Completely free with every code example runnable in-browser — no API key or local setup required×19
- Extremely concise — most learners finish in about an hour, in short convenient sections×16
- Embedded Jupyter notebooks let you pause the video and run prompts live, which reviewers found highly conducive to learning×14
- Clear, practical structure — two core principles plus six real use cases (summarizing, inferring, transforming, expanding, chatbot)×13
- Beginner-friendly framing while still useful to experienced ML engineers×9
What frustrated learners
4- Basic Python is a hard prerequisite — non-technical learners hit a wall almost immediately×11
- Built in April 2023 on GPT-3.5 Turbo and not meaningfully updated — no tool calling, structured outputs, or reasoning models×10
- Too short and surface-level for advanced practitioners who want more depth on building LLMs into real applications×8
- No graded assignments, projects, or certificate — purely a self-paced primer with no portfolio artefact×6
Real quotes from real users
“I'm doing the DeepLearning.AI: Prompt Engineering for Developers and it's great. I think the example prompts they use are also really great at showcasing just how wide-ranging LLMs are.”
“I know that what I've learned on this course is something that I will refer back to often and gave me a good start to continue to learn more about this space.”
“This article presents the main take aways from this absolutely brilliant course by Andrew NG and Isa Fulford at DeepLearning.ai.”
“The course provides an abundance of code examples and prompt engineering illustrations to help learners grasp the concepts presented effectively. I highly recommend it, and the best part is that it's free. What more could we ask for?”
“Thank you for creating a free, simple, concise and informative material that provides valuable insights into prompt engineering principles.”
“The content is very useful, not just for developers.”
“The course is easy to follow and very insightful.”
“It's only ~1h long and divided into short and convenient sections.”
“Great way to learn prompt for beginner.”
“Python is a hard prerequisite — non-technical learners hit a wall immediately. The course was built in April 2023 on GPT-3.5 Turbo and hasn't been meaningfully updated since. Treat it as a foundation, not a ceiling.”
Frequently asked questions
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How we evaluated this
This review synthesizes 44 opinions collected across the public web. Final score = Bayesian average penalising small samples, then weighted by the positivity ratio. No paid placements, no hidden agenda.
- 12 from Forums
- 30 from Blogs
- 2 from Official course platform