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Generative Ai Application Design And Development
Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.35 GB | Duration: 18h 2m​

Generative AI Made Simple: Build Intelligent, Innovative Applications-No AI/ML Experience Needed

What you'll learn
Learners will master the core concepts and principles behind Generative AI, how LLMs work, and how they can be applied in real-world use cases.
Develop practical skills to design, architect, and implement smart applications leveraging a wide range of LLMs from both open and closed sources.
Learn how to effectively use popular tools including LangChain, HuggingFace, StreamLit, Ollama, and more
Understand and implement best practices when it comes to efficiency, scalability, and responsible use of generative AI in production environments.
Identify and navigate challenges specific to generative AI applications.
Prepare for intermediate-level technical interviews for roles in Generative AI.

Requirements
Basic knowledge of Python programming
Familiarity with Jupyter Notebooks is a plus
A personal machine (Windows, Linux, or Mac)
A stable internet connection

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[KatzSec DevOps]

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