Building Generative AI-Powered Applications with Python
This course is part of multiple programs. Learn more
Instructors: IBM Skills Network Team +1 more
Instructor ratings
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
What you'll learn
Skills you'll gain
There are 7 modules in this course
In this hands-on course, you’ll develop a series of guided projects using Python, Flask, Gradio, and LangChain to create AI-powered applications for practical scenarios, including a voice assistant, a meeting summarizer, a language translator, and a personalized career coach. You’ll work with popular large language models (LLMs) such as GPT-3, Llama 2, and Flan-UL2, hosted on platforms like IBM watsonx and Hugging Face. You’ll also explore advanced concepts, such as retrieval-augmented generation (RAG), to enhance LLM responses with external knowledge, and integrate speech-to-text (STT) and text-to-speech (TTS) using IBM Watson® Speech Libraries and OpenAI Whisper to enable voice interactions. While a basic understanding of Python is essential, knowledge of HTML, CSS, or JavaScript is helpful but not required. The course includes supporting readings and videos to build foundational knowledge of the models and frameworks used. In addition, a comprehensive course glossary will help reinforce your learning.
Create Your Own ChatGPT-Like Website
Create a Voice Assistant
Generative AI-Powered Meeting Assistant
Summarize Your Private Data with Generative AI and RAG
Babel Fish (Universal Language Translator) with LLM and STT TTS
[Bonus] Module 7: Build an AI Career Coach
Explore more from Machine Learning
©2025 ementorhub.com. All rights reserved