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In this specialization, you'll learn to use GPT models and the OpenAI API to build AI-powered applications. Starting with prompt engineering in Python, you'll design effective prompts, mitigate hallucinations, and structure outputs with JSON mode. You'll explore GPT versions like GPT-3.5 and GPT-4, and apply advanced techniques such as emotion-driven prompts and exponential backoff strategies.
As the specialization progresses, you'll integrate ChatGPT and OpenAI APIs into real-world Python applications. You'll learn to automate tasks, generate creative content, and build interactive tools. Topics include neural networks, tokenization, and applying AI in diverse use cases.
In the final section, you’ll learn how to create serverless functions to manage ChatGPT prompts and responses. You’ll integrate these into platforms and develop deployable applications like CoverLetterCreator, StockPhotoPPT, and TravelPlan. By the end of the specialization, you’ll have the skills to build, test, and deploy AI-driven applications using the OpenAI API.
This intermediate-level specialization is perfect for developers looking to apply AI in practical scenarios. While some knowledge of Python is recommended, no prior AI experience is needed.
Applied Learning Project
Learners will design and deploy AI-powered applications such as CoverLetterCreator, StockPhotoPPT, and TravelPlan. These projects provide real-world practice in integrating ChatGPT and OpenAI APIs with Python to deliver functional, serverless solutions.
