- Prompt Engineering
- OpenAI
- Natural Language Processing
- Flask (Web Framework)
- Generative AI
- LangChain
- LLM Application
- Front-End Web Development
- Web Applications
- Image Analysis
- Large Language Modeling
- Python Programming
Building Generative AI-Powered Applications with Python
Completed by Haoming Zhang
September 29, 2024
14 hours (approximately)
Haoming Zhang's account is verified. Coursera certifies their successful completion of Building Generative AI-Powered Applications with Python
What you will learn
Explain the core concepts of generative AI, including large language models, speech technologies, and platforms such as IBM watsonX, and Hugging Face
Build generative AI-powered applications and chatbots using LLMs, retrieval-augmented generation(RAG), and foundational Python frameworks
Integrate speech-to-text (STT) and text-to-speech (TTS) technologies to enable voice interfaces in generative AI applications
Develop web-based AI applications using Python libraries, such as Flask and Gradio, along with basic front-end tools like HTML, CSS, and JavaScript
Skills you will gain
