Online/ e-LMS
Self Paced
Beginners
8 Weeks
About
OpenAI’s Generative Pre-trained Transformer (GPT) models have revolutionized the field of natural language processing with their ability to generate human-like text and understand context. This one-month program delves into the core concepts of GPT models, exploring their underlying architecture, training methodologies, and diverse applications. Participants will gain hands-on experience in implementing and fine-tuning GPT models for various use cases such as text generation, sentiment analysis, and language translation.
Throughout the program, learners will engage in practical projects and case studies to apply theoretical knowledge to real-world scenarios. The course also covers the ethical considerations and best practices for using AI models responsibly. By the end of the program, participants will be well-versed in GPT technologies and prepared to develop innovative AI applications across various industries.
Aim
The aim of the “Open AI GPT Models” program is to provide participants with a comprehensive understanding of OpenAI’s GPT models, including their architecture, functionalities, and applications. This program will equip learners with the skills to leverage GPT models for various natural language processing tasks and innovative AI solutions.
Program Objectives
- Understand the architecture and functionalities of OpenAI’s GPT models.
- Gain proficiency in implementing and fine-tuning GPT models for various applications.
- Explore the ethical considerations and best practices in AI development.
- Apply GPT models to real-world natural language processing tasks.
- Develop problem-solving skills and innovative thinking in AI applications.
Program Structure
Module 1: Artificial Intelligence Discriminative vs Generative models
- Language Model
- Transformer model
- Pretrained model
- GPT Production and Application Demos-1
Module 2: GPT Production Demos
- GPT Production and Application Demos -2
- Python code Demo
- GPT scenario
Participant’s Eligibility
- Undergraduate degree in Computer Science, Data Science, AI, or related fields.
- Professionals in the technology, software development, or data analysis industries.
- Researchers and scientists with a keen interest in natural language processing and AI.
Program Outcomes
- Mastery of OpenAI’s GPT model architecture and functionalities.
- Ability to implement and fine-tune GPT models for various NLP tasks.
- In-depth understanding of ethical considerations in AI.
- Proficiency in developing AI-driven applications.
- Preparedness for careers in AI development and research.
Fee Structure
Standard Fee: INR 10,998 USD 198
Discounted Fee: INR 5499 USD 99
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of CurrenciesBatches
Live
Certificate
Program Assessment
Certification to this program will be based on the evaluation of following assignment (s)/ examinations:
| Exam | Weightage |
|---|---|
| Mid Term Assignments | 50 % |
| Project Report Submission (Includes Mandatory Paper Publication) | 50 % |
To study the printed/online course material, submit and clear, the mid term assignments, project work/research study (in completion of project work/research study, a final report must be submitted) and the online examination, you are allotted a 1-month period. You will be awarded a certificate, only after successful completion/ and clearance of all the aforesaid assignment(s) and examinations.
Program Deliverables
- Access to e-LMS
- Real Time Project for Dissertation
- Project Guidance
- Paper Publication Opportunity
- Self Assessment
- Final Examination
- e-Certification
- e-Marksheet
Future Career Prospects
- AI Developer
- Machine Learning Engineer
- Data Scientist
- NLP Specialist
- AI Research Scientist
- AI Product Manager
Country
Profession
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Recent Feedbacks In Other Workshops
good presentation, more time is needed to elaborate on some issues
The course was well communicated and interactive
lecture delivered well but the title of workshop was a little misleading
