ChatGPT Intermediate (4-Hour)

Live Online (VILT) & Classroom Corporate Training Course

Two-hour beginner workshop chatgpt

This intermediate workshop is designed to take your understanding of the subject matter to the next level. Through a series of modules, you will delve into advanced concepts, gain hands-on experience, and collaborate with fellow participants on practical projects.

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ChatGPT Intermediate (4-Hour)

Overview

This 4-hour intermediate workshop aims to provide participants with advanced skills and knowledge in a specific topic.

Objectives

This 4-hour intermediate workshop aims to deepen participants’ expertise in the subject matter and promote collaboration among attendees, ultimately enhancing their practical skills and knowledge.

  • Enhance Knowledge

  • Skill Advancement

  • Foster Collaboration

  • Advanced Knowledge

  • Promote Collaboration

Prerequisites

  • Intermediate Knowledge: Participants should have a foundational understanding of the subject matter, typically gained through prior coursework, training, or professional experience.
  • Basic Skills: Proficiency in fundamental skills or concepts related to the workshop’s focus area, ensuring that participants can engage effectively with advanced content.
  • Laptop or Device: Access to a laptop or device with internet connectivity to participate in interactive exercises and activities.
  • Open Mindset: An open and eager mindset to learn, collaborate, and actively engage in the workshop’s activities and discussions.

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)
2023-09-30T01:01:38+05:30

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