Course at a Glance
Learn the science and art of prompt engineering directly from OpenAI and DeepLearning.AI. Build real applications using the OpenAI API with Python in this hands-on course.
4.8/5
Rating
1 hour
Duration
Intermediate
Level
Free
Price
Isa Fulford & Andrew Ng
DeepLearning.AI
Our Verdict
Prompt Engineering for Developers is the best free resource for developers who want to build AI applications. The combination of OpenAI's insider knowledge and Andrew Ng's teaching expertise makes this an incredibly valuable hour of learning. The hands-on Jupyter notebook exercises are immediately applicable. If you're a developer working with AI APIs, this is required reading.
Score Breakdown
Prompt Engineering for Developers is a free, 1-hour course from DeepLearning.AI and OpenAI that teaches developers how to use the OpenAI API effectively. Despite its short length, it's packed with practical techniques that can immediately improve your AI applications. We completed the course and tested every technique to give you an honest assessment.
Pros & Cons
Pros
- 100% free
- From OpenAI & DeepLearning.AI
- Hands-on coding
- Immediately applicable
- Short and focused
Cons
- Requires Python knowledge
- Very short course
- Limited depth
Enroll in Prompt Engineering for Developers
Free · 1 hour · Intermediate
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What You'll Learn
- Two types of LLMs: Base LLMs vs. Instruction-tuned LLMs
- Prompting principles: Write clear instructions, give the model time to think
- Iterative prompt development: How to refine prompts systematically
- Summarizing: Summarize text with a focus on specific topics
- Inferring: Infer sentiment and topics from product reviews
- Transforming: Translation, spelling/grammar correction, tone adjustment
- Expanding: Generate customer service emails from short reviews
- Building a chatbot: Create a custom OrderBot for a pizza restaurant
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Course Format & Requirements
| Feature | Details |
|---|---|
| Duration | ~1 hour |
| Format | Video lectures + Jupyter notebooks |
| Price | Free |
| Prerequisites | Basic Python knowledge |
| API Required | OpenAI API key (free tier available) |
| Certificate | Completion certificate |
| Platform | DeepLearning.AI website |
Note
Note: You'll need an OpenAI API key to run the Jupyter notebook exercises. The free tier provides $5 in credits, which is more than enough to complete the course.
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28,000+ developers enrolled. From OpenAI & DeepLearning.AI.
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Course Curriculum
1Lesson 1: Introduction3 lessons
- Course overview
- Base LLMs vs. Instruction-tuned LLMs
- Setup and API access
2Lesson 2: Prompting Principles3 lessons
- Principle 1: Write clear and specific instructions
- Principle 2: Give the model time to think
- Hands-on exercises
3Lesson 3: Iterative Prompt Development3 lessons
- The iterative prompting process
- Case study: Marketing copy from product fact sheet
- Refining prompts systematically
4Lessons 4-8: Core Capabilities5 lessons
- Summarizing product reviews
- Inferring sentiment and topics
- Transforming text (translation, tone)
- Expanding text (email generation)
- Building a chatbot with conversation history
Who Is This Course Best For?
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Free · 28,934+ students enrolled
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