Building Custom LLMs Online Course

Building Custom LLMs Online Course

Building Custom LLMs Online Course has been designed to equip you with the expertise to create enterprise-grade large language models (LLMs) tailored to your unique requirements. Guided by industry leaders Maxime Labonne, Dennis Rothman, and Abi Aryan, this course takes you through the complete lifecycle of LLM development—from architecture design and data preparation to fine-tuning, deployment, and maintenance.

Knowledge Acquired

• Explore essential concepts such as selecting optimal LLM architectures, configuring hyperparameters, and curating high-quality training datasets. Master advanced techniques for pre-training, iterative fine-tuning, and performance evaluation.
• The course also delves into the critical process of productionizing LLMs, with best practices for monitoring and maintaining their performance post-deployment.
• With a structured curriculum and hands-on projects, this course empowers you to confidently design, build, and deploy LLMs that drive impactful results in real-world scenarios.
• This course provides the tools and insights you need to succeed.

Who should take this course?

This course is ideal for:

• Data Scientists, AI Engineers, and Machine Learning Practitioners seeking to gain comprehensive knowledge of LLM development.
• Tech Professionals and Enthusiasts aiming to build enterprise-ready LLMs for diverse applications such as text generation, sentiment analysis, and code interpretation.
• Anyone interested in mastering the skills needed to create, deploy, and maintain large language models with practical, business-focused outcomes.

What you will Learn?

• How to design LLM architectures for specific applications.
• Techniques for sourcing, cleaning, and preparing high-quality training data.
• Advanced pre-training and hyperparameter optimization methods.
• Fine-tuning LLMs to enhance accuracy and adapt to unique use cases.
• Effective evaluation strategies to ensure robust model performance.
• Best practices for deploying and maintaining LLMs in production environments.

Skills  Gained

• In-depth understanding of LLM architecture and functionality.
• Proficiency in data engineering for LLM training.
• Expertise in iterative fine-tuning and pre-training workflows.
• Ability to evaluate, deploy, and maintain LLMs effectively.

Course Outline

The Building Custom LLMs Online Course covers the following topics - 

LLM Architecture Design

• Selecting and customizing architectures for diverse tasks.
• Building scalable, high-performance LLM systems.

Data Preparation and Engineering

• Handling data preprocessing and quality curation.
• Sourcing training data for optimal results.

Advanced Training Techniques

• Optimizing hyperparameters for improved efficiency.
• Applying iterative fine-tuning for targeted applications.

Model Evaluation and Troubleshooting

• Validating models using advanced performance metrics.
• Identifying and addressing potential issues in LLM workflows.

Production and Maintenance

• Seamlessly deploying LLMs in live environments.
• Monitoring and updating models for consistent performance.

Course Highlights

• Led by Industry Experts: Learn from experienced professionals with hands-on expertise.
• Comprehensive Curriculum: Covers every stage of LLM development.
• Hands-On Learning: Gain practical experience through real-world projects.
• Business-Centric Approach: Tailored for professionals seeking tangible results.