OpenAI ChatGPT Certification Bootcamp

Duration: 2 Day
Hours: 8 Hours
Training Level: All Level
Batch Ten
Monday, May 20, 2024
11:00 AM - 03:00 PM (Eastern Time)
Batch Eleven
Monday, June 24, 2024
11:00 AM - 03:00 PM (Eastern Time)
Batch Twelve
Monday, July 29, 2024
11:00 AM - 03:00 PM (Eastern Time)
Live Session
Single Attendee
$249.00 $416.00
Live Session
Recorded
Single Attendee
$299.00 $499.00
6 month Access for Recorded
Live+Recorded
Single Attendee
$349.00 $583.00
6 month Access for Recorded

About the Course
ChatGPT course provides the ultimate in-depth knowledge of ChatGPT OpenAI and builds intelligent chatbots that can understand and respond to natural language. This ChatGPT complete course is designed to help you master the powerful innovative language processing and AI skills.

Boost your ChatGPT OpenAI skills and become an expert with SimplivLearning ChatGPT OpenAI Complete Training Bootcamp. Our complete course covers everything from scratch to the advance of chatbot development and techniques for creating powerful and engaging chatbot experiences. With step- by- step guides and more examples, you will be able to fast and easily make your own effective chatbot start engaging with clients on time. Whether you ’re a beginner or an experienced chatbot developer, this course will teach you to become a chatbot master.

What is ChatGPT?

ChatGPT is an artificial intelligence chatbot that uses natural language processing (NLP) technology developed by OpenAI. It allows people to have human conversations and many more with the chatbot. This technology can answer the questions and help you with tasks like writing emails, essays, and code.

Why to Use ChatGPT in business functions?

ChatGPT helps businesses to automate tasks performed regularly and at an exact time. This gives employee sales, content, and marketing operations automated tasks, so employees can focus on other important tasks and can prevent customers from waiting to receive responses.   

By the end of this course, participants will be equipped with the skills and knowledge necessary to create intelligent chatbot applications using ChatGPT, regardless of their domain expertise. They will gain the confidence to build sophisticated and user-friendly conversational interfaces, while also exploring the exciting possibilities brought by GPT-4 and its advancements in the field of chatbot development.

Course Objective

Learn Fundamentals of ChatGPT and OpenAI.

Understanding that how Natural Language Processing (NLP) models work.

How to integrate Google sheets and documents with OpenAI API

How to integrate Microsoft Excel 365 with OpenAI API 

Master how to set up chatbots for different applications by applying ChatGPT.

Explore the limitations and capabilities.

Experimenting with different paths to fine- tuning and customizing ChatGPT.

Master that how to be integrating and installing ChatGPT.

Learn how to apply GPT- 3.5 and GPT 4 model.

Master that how effectively integrate ChatGPT into your existing web applications.

Learn to develop the skills that which are important to create, manage and analyses ChatGPT in Business Applications.

Who is the Target Audience?

Entrepreneurs – Who wants to produce content.

AI professional – Who wants to become a master of ChatGPT.

Application Developers – Who wants to incorporate ChatGPT into their projects.

CEO’s, VPs, and Directors – Who wants to use ChatGPT to lead efficient teams

Creators, writers, marketers, and artists – who want to advance their skills with ChatGPT.

Anyone and any background - who wants to be able to take advantage of ChatGPT.

Basic Knowledge
Basic knowledge of Python

Throughout the course curriculum, you will get practical skills with real- world examples, so you can apply and what you learn and implement on your own projects. Also, you will learn how to teach, install, and monitor chatbots. Accordingly, you can make and install intelligent chatbots.

Curriculum
Total Duration: 8 Hours
Introduction to ChatGPT and OpenAI
-OpenAI - an Introduction  
-Background of OpenAI and Large Language models  
-Chatbots and types of chatbots  
-Generative AI  
-Evolution of GPT models  
-Application of ChatGPT  
-Different types of models trained by OpenAI  
-Introduction to Prompt engineering  
-Integration of OpenAI API with Google sheets, documents and Microsoft Excel 365  
Understand Chat GPT APIs
-Learn about Chat GPT APIs and their crucial role in enabling chatbot functionality.  
-Gain proficiency in using Chat GPT APIs with Python for seamless integration into applications.  
Craft Effective Prompts
-Refine prompts to elicit powerful and contextually relevant responses from ChatGPT.  
-Harness the transformative potential of ChatGPT to shape and enhance text outputs.  
-Expand responses beyond limits to provide comprehensive and detailed information to users.  
Explore the Building Blocks of a ChatBot
-Dive into intelligent input analysis techniques for understanding user intent.  
-Ensure safe and positive user experiences through moderation techniques.  
-Learn how to implement intelligent input analysis in chatbot applications.  
Master the Processing of Inputs
-Maintain conversation flow by applying techniques for guiding model responses.  
-Learn effective methods to process and handle user inputs for improved chatbot interactions.  
Evaluate and Refine ChatGPT's Responses
-Unveil the quality of generated responses through effective evaluation strategies.  
-Refine and improve chatbot outputs to enhance user satisfaction and interaction.  
Explore GPT-4
-Introduction to GPT-4: Understand the latest advancements and features of GPT-4.  
-Harnessing Enhanced Capabilities: Discover how GPT-4 can further enhance chatbot applications.  
-Future Possibilities: Explore the potential impact and future trends of GPT-4 in the field of chatbot development.  
Build an End-to-End Real-World Application
-Apply the techniques and concepts learned throughout the course to   
   -Develop a comprehensive chatbot application using Streamlit.
-Incorporate intelligent input analysis
   -Effective prompt engineering, input processing, and response evaluation into the practical application.