From Pilot to Production: Turning AI Integration Into Operational Impact
Large Language Models Demystified
Gain a clear, practical understanding of how LLMs are built and learn how modern models are developed, optimized, and deployed for real‑world applications.
- 0.5 CEU / 5 PDH credits
- Launched 2026
- 5 courses
- 5 hours
Course Description
This course program introduces learners to the intricacies of building large language models (LLMs). It aims to teach learners the process of building models from scratch to help understand the black-box that is LLMs. The course series breaks down the components of transformers, their attention mechanisms, and how they have revolutionized natural language processing (NLP) tasks. The courses focuses on a state-of-the-art LLM architecture and the processing and training involved to deploy the model. By the end of this series, learners will have a comprehensive understanding of LLM construction and the principles behind transformers, empowering them to apply these models in real-world applications.
Course Objectives
- Practical applications and impact of LLMs in real-world scenarios
- The transformer model and attention mechanisms
- Coding transformer layers and attention mechanisms from scratch
- Best practices for dataset selection and preprocessing in LLM training
- Pre-training and fine-tuning paradigms in LLM development
- Evaluating model performance, including common debugging techniques
- Hands-on exercises for e2e model development, training, and deployment
Authors and Instructors
