At a Glance

Name: Developing Generative AI Applications using Python
Price: Free CAD
Rating: 4.7 (6 reviews)

Build in-demand skills in generative AI application development and get hands-on experience creating intelligent chatbots and apps using popular LLMs, RAG technology, and IBM watsonx.

Ready for an interactive learning experience to develop applications and chatbots for diverse use cases using generative AI?

What you will learn:

Explain the core concepts of generative AI models, AI technologies, and AI platforms such as IBM watsonx and Hugging Face.
Integrate and enhance large language models (LLMs) using RAG technology to infuse intelligence into apps and chatbots.
Utilize Python libraries like Flask and Gradio to create web applications that interact with generative AI models.
Build generative AI-powered applications and chatbots using generative AI models, Python, and related frameworks.

Course Overview

This course provides an opportunity to work on guided projects that provide step-by-step instructions to build generative AI-powered applications. You'll utilize Python, along with related libraries like Flask and Gradio, and frameworks such as Langchain.

In the course, you will work on hands-on projects to build chatbots and apps by utilizing popular large language models (LLMs) such as GPT-3 and Llama 2, hosted on platforms such as IBM watsonx and Hugging Face. Additiolly, you'll explore retrieval-augmented generation (RAG) technology, enhancing LLMs by incorporating exterl information beyond their training data. This course also equips you to build voice-ebled chatbots and apps using IBM Watson® Speech Libraries for Embed.

To develop these projects, you'll be using Python, making it essential to have a basic understanding of the language. While knowing some HTML, CSS, and JavaScript can be beneficial, it's not a requirement. The course includes supporting videos and readings to build a foundatiol understanding of models, frameworks, and technologies used in the projects.