Unlock the Power of ChatGPT for Your Business with End User Training

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ChatGPT End User Training Course Overview

ChatGPT is an advanced language model developed by OpenAI that uses deep learning techniques to generate human-like text. It can be used for a variety of applications, including natural language processing, chatbots, and automated language translation.
End-users can interact with ChatGPT through a user-friendly interface, such as a website or mobile app, to generate text in response to prompts or questions. The model has been trained on a large dataset of text, allowing it to understand and respond to a wide range of topics and conversational styles.

The process of ChatGPT training generally involves the following steps:


  • Data collection: The first step is to collect a dataset of input-output pairs of conversational data thats specific to the use case.
  • Data preprocessing: Once the dataset is collected, it needs to preprocessed to get it ready for fine-tuning. This includes tasks such as cleaning, tokenization, stemming, and so on.
  • Fine-tuning: The pre-trained ChatGPT model is fine-tuned on the task-specific dataset, to adapt it to the specific needs and requirements of the end user. This is done by adjusting the model's parameters to optimize for the task at hand.
  • Evaluation: After the model has been fine-tuned, it is evaluated on a held-out test set to measure the accuracy and relevance of the responses.
  • Deployment: Once the model has been fine-tuned and evaluated, it can be deployed in a production environment, where it can respond to real users' queries.


End-user training is an iterative process, with the model being fine-tuned and evaluated multiple times until it meets the desired level of performance. Once the model is fine-tuned and evaluated, it can be deployed in a production environment, where it can respond to real users' queries.


Target Audience :

  • Developers
  • Data Scientists
  • Professionals who are working on building conversational systems.
  • Businesses or Organizations who are trying to implement chatbot or virtual assistant.

Learning Objectives:

The learning objectives of ChatGPT end-user training will vary depending on the specific use case and task that the model is being fine-tuned for. However, generally, the goal of the end user training is to fine-tune a pre-trained ChatGPT model to a specific task or use case, to adapt the model to the specific needs and requirements of the end user. Some of the key objectives of ChatGPT end-user training are:


  1. To learn how to collect and preprocess a dataset of conversational data that is specific to the use case.
  2. To learn how to fine-tune the pre-trained ChatGPT model on a task-specific dataset to optimize its performance for the specific use case.
  3. To learn how to evaluate the model's performance on a held-out test set to measure the accuracy and relevance of the responses.
  4. To learn how to deploy the fine-tuned model in a production environment, where it can respond to real users' queries.
  5. To learn how to improve model performance by iteratively fine-tuning and evaluating the model, and addressing any issues that arise during the training process.
  6. To understand the details of GPT architecture and fine-tuning process for specific use cases.
  7. To learn how to handle real-world data and use cases effectively.
  8. To build a customized model which will improve user experience and give more accurate results.



The 1-on-1 Advantage


Flexible Dates

  • • Choose Start Date
  • • Reschedule After Booking
  • • Weekend / Evening Option

4-Hour Sessions

Live Online Training (Duration : 8 Hours)
We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.

650 + If you accept merging of other students.
4 Hours
8 Hours
Week Days

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Group Training
550 Per Participant
03 Apr
09:00 AM - 05:00 PM CST
(8 Hours/Day)
01 May
09:00 AM - 05:00 PM CST
(8 Hours/Day)
Course Prerequisites
  1. Understanding of machine learning concepts: having a basic understanding of machine learning concepts such as supervised learning, deep learning, and neural networks are helpful.
  2. Familiarity with Python programming: Most of the courses, tutorials, or training on ChatGPT are done in python. Having a basic understanding of Python programming will help me understand the code and follow the instructions.
  3. Understanding of natural language processing (NLP): Familiarity with NLP concepts such as tokenization, stemming, and named entity recognition is helpful, as these concepts will be used during the fine-tuning process.
  4. Experience with TensorFlow or PyTorch: ChatGPT is built on top of Tensorflow and Pytorch, so having some experience with these libraries will be helpful.
  5. Knowledge of the specific use case or task: Knowing the specific use-case or task that the model will be fine-tuned for can be helpful, as it will help you understand how the model should be fine-tuned and how it will be used in production.

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The Fee includes:
  • Courseware
Schedule for Group Training is decided by Koenig. Schedule for 1-on-1 is decided by you.
In 1-on-1 you can select your own schedule, other students can be merged but you select the schedule. Choose 1-on-1 if published schedule do not meet your requirement. If you also want a private session, opt for 1-on-1 Public.
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In both, you choose the schedule. In public, other participants can join, Private other participants want to join.
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