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    Large Language Models Bootcamp

    Pre-trained large language models like ChatGPT offer impressive capabilities but they cannot be used in scenarios where the underlying data is proprietary and requires industry-specific knowledge. Businesses are rushing to build custom LLM applications that offer enhanced performance, control, customization and most importantly, competitive advantage.

    This bootcamp offers a comprehensive introduction to get started with building a ChatGPT on your own data. By the end of the bootcamp, you will be capable of building LLM-powered applications on any dataset of your choice.

    10 Modules

    Master the full LLM application stack.

    5 Days

    8 hours daily, 40 hours total.

    UNM Accredited

    Earn 5 CEUs with a UNM certificate.

    Recommended Experience

    Familiarity with basic Python skills.

    What You'll Learn

    • Understand core principles of generative AI and LLMs, including their application architectures and design tradeoffs
    • Develop expertise in vector databases and embeddings while working with effective data processing systems
    • Master the art of writing effective prompts and fine-tuning LLMs for specific tasks and custom applications
    • Utilize and implement orchestration frameworks like LangChain and Llama Index for structured application development
    • Deploy and manage LLM applications on platforms like Azure and Hugging Face with proper monitoring techniques
    • Build comprehensive end-to-end LLM applications with multi-agent implementations for enhanced interaction and task automation

    Technologies and Tools

    Large Language Models

    Getting Ready for the Bootcamp
    Getting Ready for the LLM Bootcamp
    This module will equip you with the foundational programming knowledge and theory needed to excel in the bootcamp. By covering essential Python concepts and tools, we aim to ensure a...
    • 13 Lessons
    Free
    Start Learning

    Large Language Models

    Introduction to Large Language Models
    Introduction to Large Language Models
    In this module, we will explore the world of large language models (LLMs), including their components, how they process information, and the challenges of adopting them in enterprise settings. We...
    • 17 Lessons
    $100.00
    Start Learning

    Large Language Models

    Transformers and Attention Mechanisms
    Transformers and Attention Mechanism
    Explore transformer architecture, embeddings, and attention mechanisms with hands-on exercises.
    • 9 Lessons
    $100.00
    Start Learning

    Large Language Models

    Fundamentals of Prompt Engineering
    Fundamentals of Prompt Engineering
    Learn prompt engineering, in-context learning, and effective prompt design for real-world applications.
    • 17 Lessons
    $100.00
    Start Learning

    Large Language Models

    LLM (2)
    Build With LangChain
    Master LangChain features to build scalable, efficient AI solutions with hands-on exercises.
    • 46 Lessons
    $100.00
    Start Learning

    Large Language Models

    A Practical Introduction to Vector Databases
    A Practical Introduction to Vector Databases
    Learn about vector databases, ANN algorithms, and chatbot setup with Weaviate and Verba.
    • 19 Lessons
    $100.00
    Start Learning

    Large Language Models

    Challenges in Building RAG Applications
    Challenges in Building RAG Applications
    Build enterprise-level LLM applications and RAG systems with advanced techniques for scalability.
    • 19 Lessons
    $100.00
    Start Learning

    Large Language Models

    Fine-Tuning Large Language Models
    Fine-Tuning Large Language Models
    Learn fine-tuning, transfer learning, and model optimization with Llama2 for real-world applications.
    • 26 Lessons
    $100.00
    Start Learning

    Large Language Models

    Evaluating Large Language Models
    Evaluating Large Language Models
    Evaluate LLMs using benchmark datasets and metrics like BLEU, ROUGE, and RAGAs.
    • 14 Lessons
    $100.00
    Start Learning

    Large Language Models

    Final Project_ Build A Multi-Agent LLM Application
    Final Project: Build A Multi-Agent LLM Application
    Build and deploy a functional LLM application with CI/CD pipelines on a cloud platform.
    • 10 Lessons
    $100.00
    Start Learning

    Large Language Models

    LLM (4)
    LLM Bootcamp – Session Recordings (June-2025)
    Access full 5-day LLM Bootcamp recordings to review key concepts anytime.
    • 26 Lessons
    $100.00
    Start Learning