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In this course, we will learn how to design and build LLM-powered applications tailored for product builders. We will explore key concepts like embeddings, vector databases, prompt engineering, and Retrieval-Augmented...
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23 Lessons
$200.00
In this module, we’ll 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 hands-on...
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6 Lessons
$100.00
In this module, we will explore how to build efficient data pipelines for integrating, transforming, and managing data from various sources. We will cover the fundamentals of RESTful APIs, HTTP...
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9 Lessons
$100.00
In this module, we will cover the essentials of machine learning using Python. We will explore key concepts like supervised and unsupervised learning, model selection, and training, along with popular...
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10 Lessons
$100.00
This module helps you build the programming foundation needed to follow along with the training. It introduces key Python concepts and tools, making it easier to understand the topics covered...
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4 Lessons
$100.00
Prompt Engineering for Everyone is designed to provide you with a comprehensive understanding of how to effectively interact with large language models (LLMs) by crafting well-structured prompts. Through an exploration...
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80 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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9 Lessons
$100.00
In this module, you’ll delve into 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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5 Lessons
$100.00