Udemy – GenAI: Function Calling, Whisper, LangChain (UPDATED 2024) 2023-10

Udemy – GenAI: Function Calling, Whisper, LangChain (UPDATED 2024) 2023-10 Downloadly IRSpace

Aug 16, 2025 - 07:02 Updated: Aug 17, 2025 - 19:37

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Udemy – GenAI: Function Calling, Whisper, LangChain (UPDATED 2024) 2023-10

GenAI Course: Function Calling, Whisper, LangChain (UPDATED 2024). This course teaches you how to use OpenAI APIs, including GPT models, Function Calling, the Whisper Audio API, and the LangChain framework to develop advanced AI applications. In the first part, you will learn the basic concepts of generative AI and how to use the OpenAI API for content generation, summarization, and sentiment analysis. Then, you will create a simple application based on Large Language Models (LLMs). The second part explores chat models like GPT and builds an AI agent with the Chat Completion API. In the third part, you will use the Whisper API to convert speech to text and implement it on audio files. The fourth part introduces Function Calling, which allows models to call external APIs and provide dynamic responses. Finally, the fifth part covers working with LangChain, a powerful framework for building applications based on generative models. This course includes hands-on projects, training labs, and real-world examples to master the concepts.

What you will learn:

OpenAI API: Learn to interact with language models and integrate AI into web projects (Javascript and Python).
By the end of the course, students will be able to integrate GPT models into various applications, including chatbots and content generators.
Chat Completions API: Learn how to set up and integrate the Chat Completions API into existing projects.
Function Calling: Extending the capabilities of Large Language Models (LLMs) with the ability to call external APIs.
Speech-to-Text (Whisper Audio): Set up a simple use case in Python to convert audio files to text.
Langchain: To simplify the creation of applications using large language models (LLMs).
[PROJECT] (Python): Quick example for integrating a smart layer into a web project.
[PROJECT] (Nodejs): Create a custom chatbot with Chat language models.
[PROJECT] (Python): Convert podcast audio samples to text with the Whisper Audio API.
[PROJECT] (LangChain Javascript): Building a transcriber and summarizer app with OpenAI LLMs, Whisper Audio API, and Summarization Chain.

Who is this course suitable for?

Javascript developers.
Front-end and back-end developers.
Web development and software engineering students.
Anyone interested in building applications with the OpenAI API and generative AI models.