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Master the use of Chat-GPT for natural language processing and chatbot development. Understand Chat-GPT architecture, fine-tuning techniques, and stay updated with the latest advancements in the field.

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The “Chat-GPT” course is designed to provide an understanding of the Chat-GPT model, a state-of-the-art language model developed by OpenAI. Participants will learn how Chat-GPT works, its capabilities, and how to effectively utilize it for various natural language processing tasks, including chatbot development, content generation, and more.


At the end of Applying Professional Scrum Training for Software Developers course, participants will be able to

  • Gain a comprehensive understanding of the Chat-GPT model and its underlying architecture.

  • Learn how to use Chat-GPT for natural language processing tasks.

  • Develop chatbot applications using Chat-GPT.

  • Explore techniques to fine-tune and customize Chat-GPT for specific use cases.

  • Stay updated with the latest advancements and best practices in Chat-GPT applications.


  • Basic knowledge of natural language processing (NLP) concepts.
  • Familiarity with programming languages such as Python.
  • Understanding of machine learning principles and neural networks.
  • Prior experience with NLP frameworks and libraries is beneficial but not mandatory.

Course Outline

Module 1: Introduction to Artificial Intelligence & Machine Learning2023-06-22T14:48:56+05:30
  • Introduction to Machine Learning
  • Machine Learning tools and Techniques
Module 2: What is OpenAI?2023-06-22T14:48:20+05:30
  • Introduction
  • Quick Start Code Example
  • Text Completion High Level Overview
  • What are Tokens?
  • How does GPT work?
  • How does DALLE work?
  • Open AI Account Set-up
  • AI Safety and Alignment
  • Open AI Pricing
Module 3: Prompt Engineering2023-06-22T16:57:40+05:30
  • Introduction to GPT Prompt Engineering
  • Improving GPT Prompts to get Better Responses
  • GPT Templating
  • GPT Template Examples
  • Including Context or Knowledge in GPT Prompts
  • Writing Code
  • Getting Started
  • The Anatomy of a Request and Response
  • Testing in the Playground
  • Code Examples in a Range of Programming Languages
Module 4: Tweaking Prompt Parameters2023-06-22T16:48:43+05:30
  • Introduction to Completion Parameters
  • Quick Revision of a Code Example to call the API
Module 5: Understand how to apply Open AI’s GPT models2023-06-22T17:15:16+05:30
  • Natural Language
  • NLP to SQL – Project Overview
  • Tabular Data Set-up
  • Natural Language Request
  • Text Completion API – Parameter Overview
  • Open AI API Call and Request Handling
Module 6: GPT Sentiment Analysis2023-06-22T17:15:00+05:30
  • Introduction to Reddit Sentiment Analysis
  • Reddit API Set-up
  • Reddit Comments and Titles
  • Perform Sentiment Analysis via Open AI
  • Advantages of Programming Overview of Python Organizations using Python
Module 7: Learn to create content and images automatically for users2023-06-22T17:30:23+05:30
  • Learn how to use Text Embedding with Open AI
  • Discover how to use DALLE-2 API to generate images
  • Automatic Recipe and Dish Image
  • Introduction to Recipe Project
  • Generating Dish Image via Image API (DALLE)
  • Full Python Script Walkthrough
Module 8: Use of Chat-GPT in day-to-work2023-06-22T17:41:32+05:30
  • Brand Reputation Management
  • Tools to work with using ChatGPT
Module 9: Use cases2023-06-22T17:46:37+05:30
  • AI use cases in retail Industry
  • AI use cases in Automobile
  • AI use cases in Healthcare
  • AI use cases in Finance
Module 10: Couse conclusion2023-06-22T18:07:41+05:30
  • Reference books, videos and blogs
  • Next steps
  • Final Q&A
  • Final assessment (optional)

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