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Top Artificial Intelligence AI Courses from Google

Marktechpost

Google plays a crucial role in advancing AI by developing cutting-edge technologies and tools like TensorFlow, Vertex AI, and BERT. Its AI courses provide valuable knowledge and hands-on experience, helping learners build and optimize AI models, understand advanced AI concepts, and apply AI solutions to real-world problems.

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Evaluation of generative AI techniques for clinical report summarization

AWS Machine Learning Blog

Amazon Bedrock also comes with a broad set of capabilities required to build generative AI applications with security, privacy, and responsible AI. You can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with.

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Announcing the First Sessions for ODSC East 2024

ODSC - Open Data Science

Participants will walk away with a solid grasp of feature stores, equipped with the knowledge to drive meaningful insights and enhancements in their real-world ML platforms and projects. You will explore one possible application through a case study of the impact on a logistics & supply chain machine learning problem.

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Establishing an AI/ML center of excellence

AWS Machine Learning Blog

Governance Establish governance that enables the organization to scale value delivery from AI/ML initiatives while managing risk, compliance, and security. Additionally, pay special attention to the changing nature of the risk and cost that is associated with the development as well as the scaling of AI.

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning Blog

Being aware of risks fosters transparency and trust in generative AI applications, encourages increased observability, helps to meet compliance requirements, and facilitates informed decision-making by leaders. Learn more about our commitment to Responsible AI and additional responsible AI resources to help our customers.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

W&B (Weights & Biases) W&B is a machine learning platform for your data science teams to track experiments, version and iterate on datasets, evaluate model performance, reproduce models, visualize results, spot regressions, and share findings with colleagues.