Build a Large Language Model
Learn to build LLMs from scratch
Classes : 72 Days : 1 year Duration : Weekdays / Weekends
LLMs represent a major advancement in NLP, transforming how machines process and understand language. LLMs ability to perform a broad range of tasks with minimal task-specific training makes them highly versatile. The course is structured to guide learners from foundational knowledge about natural language processing (NLP) to advanced concepts such as pre-training, fine-tuning, and deploying LLMs.
Our LLM course is the ultimate gateway to leveraging the capabilities of NLP & AI to revolutionize how we interact with languages. Students will gain profound insights into LLM components, mastering algorithms that enable machines to create content, simulate human behavior, and generate descriptive solutions.
This course is intended to prepare you for performing cutting-edge research in natural language processing, especially topics related to pre-trained language models. During this training, you shall be able to build, train and deploy Large Language Models at scale.
Course Format:
The course will be delivered through a combination of lectures, interactive discussions, case studies, and practical exercises.
-Participants will have access to online resources, including reading materials, videos, and trading simulations.
-Guest speakers from the industry may be invited to share insights and experiences.
-Regular assessments and quizzes will be conducted to reinforce learning.
Trainers:
Equipped with a multidisciplinary background, Experts from the field of Maths, Financial Markets, Data Science and Management, each with over 25 years of International experience working in EU/US/Australia
Who this training is for:
- Engineers and Managers
- Under-Graduate Engineers
- Post-Graduate Engineers
- Govt officers and Executives working on LLM projects
- Domain experts who want to develop an overall understanding of LLMs
- Anyone who wants to understand the fundamentals of LLMs
- Students who want to add LLM Engineer / LLM Scientist capabilities to their curricular
-Familiarity with mathematical concepts of probability, linear algebra, and calculus
-Fundamentals of Deep Learning, Neural Networks and NLP
-You have a genuine interest in LLMs
- Introduction to NLP and Machine Learning
- The Transformer Architecture
- Understanding Large Language Models (LLMs)
- Data Preparation and Preprocessing for LLM
- LLM Architecture and Training Process
- Pre-trained Models :- GPT-3 via OpenAI API, BERT via Hugging Face
- LLM Applications and Use Cases
- Ethical Considerations and Bias Mitigation
- Deployment and Scaling of LLM
- Fine-tuning and evaluating LLMs
- Advanced Topics in LLMs
- Hands-on Projects
- Developing a custom LLM from scratch
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Student Reviews
Bhawana
Fabulous NLP + ML course
I have eleven plus years of experience taking training courses. I do not usually complete surveys.
Your instructor was excellent, the best I've experienced on a software subject, and I couldn't imagine him doing a better job of seamlessly walking students through a breadth of information for such complex subject like AI and ML. he did a fabulous job pacing everything and addressing student questions. I am very impressed.
Harish
Excellent ML course!
The course was well structured and easy to understand. Good pace of learning.
The institute believes to provide knowledge as well as guidance in detail to each & every student.
I completed my ML course from the institute. Their international exp does help a lot !
Thanks for the training sir.