Build a Large Language Model

Elevate your AI strategy with state-of-the-art LLM Training designed for superior performance and scalability. Our end-to-end training pipeline leverages massive, curated datasets and advanced deep learning techniques to develop LLMs. Whether you are building an innovative customer-facing application or optimizing internal knowledge retrieval, our expert-led training ensures your model delivers unmatched fluency, reduces "hallucinations," and provides the robust foundation required for long-term AI innovation and deployment.

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.

Target Audience:-
- 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

Learning Outcomes:-
-Design and implement large-scale data sourcing pipelines, applying advanced filtering techniques
-Successfully configure and execute a resource-intensive, distributed pre-training run using major frameworks
-Demonstrate a deep understanding of the Transformer architecture
-Apply Supervised Fine-Tuning (SFT) techniques to adapt a general-purpose model to specific organizational tasks
-Implement Parameter-Efficient Fine-Tuning (PEFT) methods
-Design and implement a Retrieval-Augmented Generation (RAG) system
-Execute the Reinforcement Learning from Human Feedback (RLHF) or Direct Preference Optimization (DPO) pipeline
-Design and execute a comprehensive LLM evaluation plan, including using external benchmarks

Course Format:-
✔ The course shall be delivered through a combination of lectures, interactive discussions & case studies
✔ Participants are exposed to practical exercises and new-age projects, where they learn by doing
✔ Participants shall have access to online resources, including reading materials, videos & business simulations
✔ Students shall receive all the study material
✔ Guest speakers from the industry may be invited to share insights and experiences
✔ Regular assessments and quizzes will be conducted to reinforce learning
✔ This is a Classroom only training
✔ Corporates: We understand your specific needs and goals. Contact us for customizations to this training

Trainers:-
✔ Equipped with multidisciplinary backgrounds
✔ Experts from the field of Maths, Financial Markets, AIML, Data Science & Management
✔ Each with over 25+ years of International experience working in EU / US / Australia
✔ All our trainers are Highly Qualified and Certified, in their respective subject areas