Course Overview:
This course is designed to introduce the ChatGPT language model and its capabilities. The course will cover the basics of natural language processing (NLP), as well as the theoretical and practical aspects of working with ChatGPT. Students will learn how to fine-tune the model for various applications, including chatbots, question answering systems, and text generation.
Course Objectives :
» Understand the basics of natural language processing and its applications.
» Familiarize with the architecture and functionalities of ChatGPT.
» Learn how to fine-tune ChatGPT for specific use cases.
» Develop practical skills in using ChatGPT for chatbots, question answering systems, and text generation.
Explore the latest research on language modelling and its potential applications. Having said this, course curriculum can help with a variety of tasks, including answering questions, providing information, generating text, and engaging in conversations on various topics.
Various Job Roles
» ChatGPT Developer-Multiple Domain
» Natural Language Processing Engineer
» Machine Learning Engineer
» Data Research Analyst
Course on CHAT GPT - 44 Hours |
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Day wise Syllabus |
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S.No |
Day wise Curriculum |
Duration |
1 |
Artificial Intelligence and Python
|
3 |
2 |
Python Programming
|
3 |
3 |
Eyes of Artificial Intelligence Machines
|
4 |
4 |
Eyes of AI Machines integrating ChatGPT
|
4 |
5 |
ChatGPT Initials
|
2 |
6 |
ChatGPT Initials
|
4 |
7 |
Data management and analytics
|
2 |
8 |
ChatGPT features
|
2 |
9 |
ChatGPT and Programming
|
2 |
10 |
Fine-tuning ChatGPT for programmer support
|
2 |
11 |
ChatGPT support to designers
|
2 |
12 |
Chatbot using ChatGPT
|
3 |
13 |
ChatGPT for innovation
|
2 |
14 |
ChatGPT for communication purpose
|
2 |
15 |
Fine-tuning ChatGPT for Text Generation
|
3 |
16 |
ChatGPT for career advancement |
2 |
17 |
Biographical and Geographical ChatGPT
|
2 |