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.
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.
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
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...
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9 Lessons
$100.00
In this module, you will explore key concepts of the transformer architecture, embeddings, attention mechanisms, and tokenization. You’ll gain a deeper understanding of semantic similarity and how it is calculated...
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5 Lessons
$100.00
In this module, we will explore the fundamentals of prompt engineering, including key concepts like in-context learning, designing effective prompts, and using various prompting techniques. We will learn how to...
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15 Lessons
$100.00
In this module, you’ll uncover how vector databases power modern applications, focusing on their mechanics and practical uses. You’ll explore types of searches, understand Approximate Nearest Neighbor (ANN) algorithms like...
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13 Lessons
$100.00
Unlock the power of LangChain and take your LLM application development skills to the next level. In this module, you’ll discover how to harness LangChain’s core features, including prompts, retrieval,...
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11 Lessons
$100.00
In this module, you will explore the practical aspects of building enterprise-level LLM applications and Retrieval-Augmented Generation (RAG) systems. You’ll gain insights into advanced techniques for building RAG architecture and...
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4 Lessons
$100.00
In this module, you will explore techniques for monitoring and managing LLMs, focusing on observability, performance metrics, and implementing guardrails for safe and ethical AI. Using the Phoenix framework in...
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6 Lessons
$100.00
In this module, you’ll learn about the core principles of Large Language Models (LLMs), with a focus on fine-tuning and transfer learning. You’ll explore methods like prompt tuning, prefix tuning,...
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11 Lessons
$100.00
In this module, you will learn how to evaluate LLMs by exploring benchmark datasets like MMLU and HELM, which evaluate LLMs across various tasks. You will then explore how to...
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7 Lessons
$100.00
In this module, you’ll create a functional LLM application by choosing one of three exciting projects. You can build a Basic Chatbot that answers general queries, develop a Chatbot Agent...
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10 Lessons
$100.00