Course at a Glance
Master the art of prompt engineering with OpenAI's API. Build powerful applications using GPT-4, learn best practices, and create custom chatbots.
4.9/5
Rating
1.5 hours
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 and a half 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
We completed ChatGPT Prompt Engineering for Developers and built 5 real applications using the techniques taught in this course. Created by Isa Fulford from OpenAI and Andrew Ng from DeepLearning.AI, this free 1.5-hour course is the single best resource for developers who want to build applications with large language models.
Pros & Cons
Pros
- Taught by Isa Fulford & Andrew Ng on DeepLearning.AI
- 890K students enrolled
- 4.9/5 star rating from 19K reviews
- 1.5 hours of content with 9 lessons
- Certificate of completion included
- Learn Prompt Engineering
- Learn OpenAI API
Cons
- Some prior knowledge recommended
- No formal certificate without payment
- Content may become outdated as AI evolves rapidly
- Self-paced format requires discipline
Start ChatGPT Prompt Engineering for Developers — Free
Free · 1.5 hours · Intermediate · 9 lessons
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What Is Prompt Engineering for Developers?
This free course teaches developers how to use large language models (LLMs) via API calls. Unlike using ChatGPT through the web interface, this course focuses on programmatic access — building applications that use AI as a backend service. You'll learn the principles of effective prompting, iterative development, and how to build real applications.
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 chatbot with conversation history
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Course Format & Requirements
| Feature | Details |
|---|---|
| Duration | ~1.5 hours |
| 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.
Real Projects You Can Build After This Course
We built 5 applications using the techniques from this course. Here are the most profitable ones you can create:
- AI Customer Support Bot: Automate 80% of support tickets for any business
- Content Summarizer: Create a tool that summarizes articles, reports, and meetings
- Email Generator: Build a service that drafts professional emails from bullet points
- Review Analyzer: Extract sentiment and key topics from product reviews at scale
- Translation Service: Create a multilingual content tool for businesses
Start Prompt Engineering for Developers — Free
890K+ developers enrolled. From OpenAI & DeepLearning.AI.
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See What You'll Learn
This free 1.5-hour course from OpenAI teaches you to build real AI applications. Watch the intro to see if it's right for you.
ChatGPT Prompt Engineering for Developers — Official Preview
Watch Isa Fulford and Andrew Ng introduce this free course from OpenAI and DeepLearning.AI. Learn what prompt engineering is and why it's the most valuable skill for developers building with LLMs.
Course Curriculum
1Lesson 1: Introduction3 lessons
- Course overview and objectives
- Base LLMs vs. Instruction-tuned LLMs
- Setting up your OpenAI API key
2Lesson 2: Prompting Principles3 lessons
- Principle 1: Write clear and specific instructions
- Principle 2: Give the model time to think
- Hands-on prompting 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
Skills You'll Learn
Who Is This Course Best For?
Start Learning ChatGPT Prompt Engineering for Developers — Free
Free · 890K students enrolled · 1.5 hours
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