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IBM: Developing Generative AI Applications with Python

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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.

Developing Generative AI Applications with Python
6 weeks
1–2 hours per week
Self-paced
Progress at your own speed
Free
Optional upgrade available

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Starts Oct 4
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Developing Generative AI Applications with Python

About this course

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Generative AI modeling is an in-demand skill for AI model development. Employers now expect generative AI skills to be on an AI engineer’s resume. This hands-on course, which is also part of the IBM AI Applied Professional Certificate, will help you build the generative AI skills you need to stand out as an AI developer.

Throughout the course, you’ll get valuable practical experience working on guided projects that provide step-by-step instructions for building generative AI-powered applications. As part of this, you’ll work with Python and related libraries like Flask and Gradio, plus you’ll use frameworks such as Langchain. The course includes learning elements such as videos and readings to help you understand the models, frameworks, and technologies used in the projects.

You’ll also dive into building intelligent chatbots and apps using popular large language models (LLMs) such as GPT3 and Llama 2 hosted on platforms like IBM watsonx and Hugging Face. You'll explore retrieval-augmented generation (RAG) technology to enhance LLMs by incorporating external information beyond their training data. You’ll be able to build voice-enabled chatbots and apps using IBM Watson ® Speech Libraries for Embed.

To get the most out of this course, it is essential that you have a basic understanding of the Python programming language. It is also of benefit if you are familiar with HTML, CSS, and JavaScript, though this is not a requirement. This course is ideal for tech professionals who have some experience with Python and are ready to build the highly sought-after generative AI skills required to be an AI engineer or AI developer. If that’s you… enroll today and build job-ready gen AI skills in 6 weeks.

At a glance

What you'll learn

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  • Job-ready generative AI app development skills in 6 weeks, supported by practical experience and an industry-recognized credential.
  • How to integrate and enhance large language models (LLMs) using RAG technology to build intelligent apps and chatbots.
  • How to use Python libraries like Flask and Gradio to create web applications that interact with generative AI models.
  • How to use different frameworks and AI technologies to build AI-powered applications.
  • How to build generative AI-powered applications and chatbots using generative AI models, Python, and related frameworks.

Syllabus

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Module 1: Image Captioning with Generative AI

• Video: Course Introduction

• Reading: Course Overview

• Reading: Helpful Tips for Course Completion

• Video: Generative AI Models

• Video: Foundation Models

• 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

• Lab: Deploy Your App with Code Engine

• Module Summary: Image Captioning with Generative AI

• Graded Quiz: Image Captioning with Generative AI

Module 2: Create Your Own ChatGPT-Like Website

• 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

• Graded Quiz: Create Your Own ChatGPT-Like Website

Module 3: Module: Create a Voice Assistant

• 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

• Graded Quiz: Create a Voice Assistant

Module 4: Generative AI-Powered Meeting Assistant

• Video: Project Overview: Generative AI-Powered Meeting Assistant

• Video: IBM watsonx.ai

• Reading: Introduction to Meta Llama 2

• Reading: Module Summary

• Reading: Introduction to OpenAI Whisper

• Lab: Business AI Meeting Companion

• Module Summary: Generative AI-Powered Meeting Assistant

• Graded Quiz: Generative AI-Powered Meeting Assistant

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

• Project Overview: Summarize Your Private Data with Generative AI

• 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

• Graded Quiz: Summarize Your Private Data with Generative AI

Module 6: Babel Fish with LLM and STT TTS

• Project Overview: Babel Fish with LLM and STT TTS

• Lab: Babel Fish with LLM STT TTS

• Module Summary: Babel Fish with LLM and STT TTS

• Graded Quiz: Babel Fish with LLM and STT TTS

Who can take this course?

Unfortunately, learners residing in one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. edX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.

This course is part of IBM Applied AI Developer Professional Certificate Program

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Expert instruction
7 skill-building courses
Self-paced
Progress at your own speed
6 months
2 - 4 hours per week

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Price

$99 USD

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Limited

Expires on Nov 15

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Shareable certificate upon completion

Graded assignments and exams

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