
Pearson - Omar Santos - Build Your Own AI Lab
Published: 3/2024
Duration: 3h 18m | Video: .MP4, 1280x720 | Size: 666 MB
Set up your own AI lab and infrastructure at home.
Hands-on guide to home and cloud-based AI labs and infrastructure Related learning Sign up for Build Your Own AI Lab by Omar Santos Omar Santos is a Distinguished Engineer at Cisco focusing on artificial intelligence (AI) security, research, incident response, and vulnerability disclosure. He is the co-chair of the Coalition for Secure AI (CoSAI), a board member of the OASIS Open standards organization, and the founder of OpenEoX. Omar's collaborative efforts extend to numerous organizations, including the Forum of Incident Response and Security Teams (FIRST) where he co-chairs of the PSIRT Special Interest Group (SIG). Omar is the lead of the DEF CON Red Team Village and the chair of the Common Security Advisory Framework (CSAF) technical committee. Omar is the author of more than 20 books, numerous video courses, and more than 50 academic research papers. Omar is a renowned expert in ethical hacking, vulnerability research, incident response, and AI security. His dedication to cybersecurity has made a significant impact on technology standards, businesses, academic institutions, government agencies, and other entities striving to improve their cybersecurity programs.
Learn to set up and optimize labs to research and experiment in a secure environment
Focused training on open-source large language models (LLMs) and generative AI
Build Your Own AI Lab covers how to create powerful and secure AI research environments. The course covers both home-based and cloud-based AI labs, offering comprehensive guidance on hardware and software setup, security best practices, cost management, and scalability. Key topics covered are how to run open-source models that can be accessed at Hugging Face, such as Llama 3, Phi 3, Mistral, Gemma, and other models; how to integrate and leverage the strengths of both environments, ensuring they have the flexibility to meet diverse research needs; and how to use Ollama to run these models easily in your home. It is an all-rounded resource with overview on Amazon Bedrock, Amazon SageMaker, Google Vertex AI, Microsoft Azure Cognitive Services, and high-performance computing and edge AI.
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