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. Additionally, you'll explore retrieval-augmented generation (RAG) technology, enhancing LLMs by incorporating external information beyond their training data. This course also equips you to build voice-enabled 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 foundational understanding of models, frameworks, and technologies used in the projects.

Course Syllabus

Welcome

Video: Course Introduction
Reading: General Information
Learning Objectives & SyllabusReading: Helpful Tips for Course Completion
Video: Generative AI Models
Video: Foundation Models
Grading Scheme

Module Introduction and Learning Objectives

Video: Project Overview: Image Captioning with Generative AI
Video: Hugging Face
Reading: BLIP from Hugging Face Transformers
Reading: Introduction to Gradio
Lab: Give Meaningful Names to Your Photos with IMG Captioning AI
[Optional] Lab: Deploy your App with Code Engine
Module Summary: Image Captioning with Generative AI
Module 1 Graded Quiz: Image Captioning with Generative AI

Module 2: Create Your Own ChatGPT-Like Website

Module Introduction and Learning Objectives
Video: Project Overview: Create Your Own ChatGPT-like Website
Reading: Flask – A Gateway to Web Development in Python
Lab: Create Simple Chatbot with Open Source LLMs using Python and Hugging Face
Lab: Integrating Your Chatbot into a Web Application
Module Summary: Create Your Own ChatGPT-Like Website
Module 2 Graded Quiz: Create Your Own ChatGPT-like Website

Module 3: Create a Voice Assistant

Module Introduction and Learning Objectives
Video: Project Overview: Create a Voice Assistant
Video: Introduction to Docker
Reading: IBM Watson Speech-to-Text and Text-to-Speech
Lab: Create a Voice Assistant with OpenAI's GPT-3 and IBM Watson
Module Summary: Create a Voice Assistant
Module 3 Graded Quiz: Create a Voice Assistant

Module 4: Generative AI-Powered Meeting Assistant

Module Introduction and Learning Objectives
Video: Project Overview: Generative AI-Powered Meeting Assistant
Video: IBM watsonx.ai
Reading: Introduction to Meta Llama 2
Reading: Introduction to OpenAI Whisper
Lab: Business AI Meeting Companion
Module Summary: Generative AI-Powered Meeting Assistant
Module 4 Graded Quiz: Generative AI-Powered Meeting Assistant

Module 5: Summarize Your Private Data with Generative AI and RAG

Module Introduction and Learning Objectives
Video: Project Overview: Summarize Your Private Data with Generative AI & RAG
Reading: Introduction to LangChain
Video: Enhancing LLM Accuracy with RAG
Reading: Introduction to Llama 2 and RAG
Lab: Build a Chatbot for Your Data
Module Summary: Summarize Your Private Data with Generative AI
Module 5 Graded Quiz: Summarize Your Private Data with Generative AI

Module 6: Babel Fish Universal Language Translator) with LLM and STT TTS

Module Introduction and Learning Objectives
Video: Introduction to Project: Babel Fish with LLM and STT TTS
Lab: Babel Fish Language Translator) with LLM, STT, & TTS
Module Summary: Babel Fish with LLM and STT TTS
Module 6 Graded Quiz: Babel Fish with LLM and STT TTS
Glossary: Building GenAI- Powered Apps with Python

Prerequisites

This course is suitable for individuals with basic knowledge of Python and Generative AI and an interest in developing AI-powered apps and chatbots.

Developing Generative AI Applications using Python

Language

Topic

Skills You Will Learn

Offered By

Estimated Effort

Platform

Last Update