Linkedin - OpenAI API for Python Developers

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Free Download Linkedin - OpenAI API for Python Developers
Released: 02/2025
Duration: 2h 18m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 422 MB
Level: Intermediate | Genre: eLearning | Language: English
Ever since the launch of ChatGPT and the release of new modeling languages by OpenAI in 2022, there has been a growing interest within the wider tech community to explore the potential of multiple applications of generative AI in software and web development. In this course, join instructor Sandy Ludosky to get up to speed quickly with the latest tools and technologies, with hands-on training and exercise challenges along the way.

Learn how to use generative AI to create next-generation Python applications, including the OpenAI API, which allows you to build and customize your own AI assistant chatbot directly within an application. Sandy shows you how to start experimenting with other generative models such as DALL-E and the Whisper Audio API as well as how to extend LLM capabilities with function calling and build a custom-knowledge chatbot using LangChain, embeddings, and ChromaDB.
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OpenAI API for Python Developers
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 2h 18m | 422 MB
Instructor: Sandy Ludosky​

Ever since the launch of ChatGPT and the release of new modeling languages by OpenAI in 2022, there has been a growing interest within the wider tech community to explore the potential of multiple applications of generative AI in software and web development. In this course, join instructor Sandy Ludosky to get up to speed quickly with the latest tools and technologies, with hands-on training and exercise challenges along the way.

Learn how to use generative AI to create next-generation Python applications, including the OpenAI API, which allows you to build and customize your own AI assistant chatbot directly within an application. Sandy shows you how to start experimenting with other generative models such as DALL-E and the Whisper Audio API as well as how to extend LLM capabilities with function calling and build a custom-knowledge chatbot using LangChain, embeddings, and ChromaDB.

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