Build Application with ChatGPT

Next Class : Tuesdays and Thursdays for 10 days from May 23rd

Duration : 6:30 PM to 8:30 PM

Location : Online using Google Meet

Cost : USD 499.00

Overview of the course

Join us for an exciting and comprehensive course on harnessing the incredible potential of ChatGPT using OpenAI’s API and Python! Whether you’re an AI enthusiast, a software engineer, or a data scientist, our 10-session course is designed to equip you with the skills to construct robust applications with one of the world’s most advanced language models. Our expert-led course offers step-by-step instructions on how to interact with the OpenAI API, integrate it with Python, and create practical, innovative applications using ChatGPT. From understanding the basics of ChatGPT and the OpenAI API to designing conversational agents for customer service or content generation, we’ve got you covered! By the end of this course, you’ll be confidently building, testing, and deploying AI applications using ChatGPT and Python. Embark on this transformative learning journey and discover how to revolutionize your projects with the power of Conversational AI!

Introduction to ChatGPT and ChatGPT-API with Python

###

Module 1: Introduction to ChatGPT

What is ChatGPT and how does it work?
Basic use cases for ChatGPT
Setting up a ChatGPT API account
Running your first ChatGPT API request
Example code for interacting with the ChatGPT API

Module 2: ChatGPT for Question Answering

What is question-answering and how does ChatGPT enable it?
Preprocessing data for question-answering tasks
Fine-tuning ChatGPT for question answering
Evaluating ChatGPT’s performance on question-answering tasks
Example code for building a question-answering model with ChatGPT

Module 3: Prompt Engineering with ChatGPT

What is prompt engineering and how can it improve ChatGPT performance?
Strategies for designing effective prompts
Incorporating domain knowledge into “Prompt” design
Fine-tuning ChatGPT with custom prompts
Example code for prompt engineering with ChatGPT-

Module 4: Building a Simple Chatbot with ChatGPT

How to design a simple chatbot using ChatGPT
Identifying user intent and mapping to ChatGPT responses
Training ChatGPT on custom datasets
Incorporating context and memory in chatbot interactions
Example code for building a simple ChatGPT-powered chatbot

Module 5: ChatGPT for Sentiment Analysis

What is sentiment analysis and how does ChatGPT enable it?
Collecting and preprocessing data for sentiment analysis
Building a sentiment analysis pipeline with ChatGPT
Evaluating ChatGPT’s performance on sentiment analysis tasks
Example code for building a sentiment analysis model with ChatGPT

Module 6: ChatGPT for Text Generation

What is text generation and how does ChatGPT enable it?
Preprocessing data for text generation tasks
Fine-tuning ChatGPT for text generation
Evaluating ChatGPT’s performance on text generation tasks
Example code for generating text with ChatGPT

Module 7: ChatGPT for Text Summarization

What is text summarization and how does ChatGPT enable it?
Preprocessing data for text summarization tasks
Fine-tuning ChatGPT for text summarization
Evaluating ChatGPT’s performance on text summarization tasks
Example code for building a text summarization model with ChatGPT

Module 8: ChatGPT for Language Translation

What is language translation and how does ChatGPT enable it?
Preprocessing data for language translation tasks
Fine-tuning ChatGPT for language translation
Evaluating ChatGPT’s performance on language translation tasks
Example code for building a language translation model with ChatGPT

Module 9: Image Generation with ChatGPT

How can ChatGPT be used for image-generation tasks?
Preprocessing image data for use with ChatGPT
Building an image generation pipeline with ChatGPT
Evaluating ChatGPT’s performance on image generation tasks
Example code for generating images with ChatGPT

Module 10: Using the Whisper Model with ChatGPT

What is the Whisper Model and how does it improve ChatGPT performance?
Incorporating the Whisper Model into ChatGPT architectures
Fine-tuning ChatGPT with the Whisper Model
Evaluating ChatGPT’s performance with and without the Whisper Model
Example code for using the Whisper Model with ChatGPT