Free Courses To Build Real AI Products With OpenAI
Unlock free, expert-led courses designed to help you build production-ready AI applications using OpenAI’s powerful tools. These courses are officially provided by OpenAI and DeepLearning.AI, delivering structured, high-impact content for developers, entrepreneurs, and product teams.
Build Applications with OpenAI APIs
Course Link: https://www.deeplearning.ai/short-courses/building-applications-with-openai-api/
Duration: 1 hour
Level: Beginner to Intermediate
This fast-paced course teaches you to build practical, real-world AI products using OpenAI’s large language models (LLMs) via the API. You’ll learn how to prompt LLMs effectively, handle user input, and generate reliable output for specific use cases.
Key topics include:
- Understanding the capabilities and limitations of GPT models
- Implementing prompt engineering best practices
- Applying chain-of-thought reasoning
- Using function calling for structured tasks
ChatGPT Prompt Engineering for Developers
Course Link: https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/
Duration: 1 hour
Level: Beginner
Led by OpenAI’s Isa Fulford and machine learning legend Andrew Ng, this course provides practical skills for prompt engineering with ChatGPT. It focuses on how to guide the behavior of ChatGPT using instructions, few-shot prompting, and user intent framing.
You’ll learn how to:
- Build chat-based interfaces
- Use system messages effectively
- Handle multi-turn conversations
- Optimize outputs with prompt tuning strategies
Finetuning Large Language Models
Course Link: https://www.deeplearning.ai/short-courses/fine-tuning-large-language-models/
Duration: 1 hour
Level: Intermediate
This course explains how to customize LLMs like GPT-3.5 using fine-tuning techniques. You’ll discover when and why to use fine-tuning instead of prompting, and how to prepare datasets and train models using OpenAI tools.
Covers key concepts such as:
- Supervised fine-tuning
- Preparing training data in JSONL format
- Managing token efficiency
- Deploying custom models via OpenAI API
Building Systems with the ChatGPT API
Course Link: https://learn.deeplearning.ai/chatgpt-system-building
Duration: 1 hour
Level: Intermediate
This course teaches how to architect multi-component applications using the ChatGPT API. Instead of focusing only on prompts, it dives into system-level design, modular thinking, and integration strategies.
You’ll explore:
- Creating multi-step agents
- Orchestrating tool use with function calls
- Managing user memory and context
- Structuring APIs for scalability
Generative AI for Everyone
Course Link: https://www.deeplearning.ai/short-courses/generative-ai-for-everyone/
Duration: 2 hours
Level: Beginner (Non-technical)
A non-technical introduction to how generative AI is transforming industries and workflows. This course is ideal for product managers, startup founders, and decision-makers seeking to use AI in their organizations.
Key lessons include:
- Understanding generative AI use cases
- Exploring business integration examples
- Identifying limitations and risks
- Leveraging no-code tools for deployment
ChatGPT for Beginners (Codecademy)
Course Link: https://www.codecademy.com/learn/learn-chatgpt
Duration: 1 hour
Level: Beginner
This beginner-friendly course introduces how to use ChatGPT effectively for everyday tasks, learning, and productivity.
Learn to:
- Generate creative content
- Summarize and rewrite text
- Brainstorm ideas and solve problems
- Use prompt styles for different needs
OpenAI Cookbook (Self-Guided Tutorials)
Link: https://github.com/openai/openai-cookbook
Level: All
An official, constantly updated resource by OpenAI with hands-on code examples for using their APIs effectively. Includes tutorials on:
- Text and chat completions
- Embeddings and semantic search
- Function calling
- Vision and file uploads
- Rate limits and performance optimization
These courses together form a powerful learning path to master AI product development—from no-code beginners to advanced developers aiming to ship AI-first applications.
ENJOY & HAPPY LEARNING! 
