Description
Build Your Own AI Lab. This comprehensive and practical course teaches you how to create and manage a robust and secure AI lab infrastructure in both on-premise and cloud environments. This course provides step-by-step guidance to help you create a functioning lab by selecting and optimally configuring the necessary hardware and software. Important topics such as implementing security best practices, managing costs, and designing for scalability are covered in detail. Course content includes exploring and working with industry-leading platforms such as Amazon SageMaker, Amazon Bedrock, Google Vertex AI, and Microsoft Azure Cognitive Services. Advanced concepts such as high-performance computing and implementing AI at the edge are also covered. The course focuses on open-source large-language models and generative AI, making it a practical and essential guide for anyone looking to set up and develop their own AI lab and infrastructure.
What you will learn
- A practical guide to home and cloud-based AI labs and infrastructures.
- How to set up and optimize laboratories for research and testing in a safe environment.
- Training focused on open source large language models (LLMs) and generative artificial intelligence.
- How to set up open source models available in Hugging Face, such as Llama 3, Phi 3, Mistral, Gemma, and others.
- How to integrate and leverage the strengths of both environments (on-premises and cloud) to provide the flexibility needed to meet diverse research needs.
- How to use Ollama to easily implement these models at home.
- Understand the fundamentals of hardware and software to create an efficient AI lab.
- Learn about security and cost management best practices in AI labs.
- An overview of Cloud services such as Amazon Bedrock, Amazon SageMaker, Google Vertex AI, and Microsoft Azure Cognitive Services.
This course is suitable for people who:
- They are looking to set up their own AI infrastructure and lab at home or in the cloud.
- They are interested in researching and experimenting with large open source language models and generative artificial intelligence.
- Looking for a practical guide to setting up AI lab hardware, software, and security?
- They want to learn how to use tools like Ollama and Hugging Face to run AI models.
- Seeking to gain knowledge about Edge AI and High-Performance Computing in the field of AI.
- Interested in understanding the differences and how to integrate home-based and cloud-based AI environments for maximum flexibility.
Build Your Own AI Lab Course Details
- Publisher: Oreilly
- Instructor: Omar Santos
- Education level: Intermediate
- Training duration: 3 hours and 18 minutes
Course topics
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 720p
Download link
Downloadly
Rapidgator link
File(s) password: www.downloadly.ir
File size
511 MB
