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Businesses worldwide are using artificial intelligence to solve their greatest challenges. Healthcare professionals use AI to enable more accurate, faster diagnoses in patients. Retail businesses use it to offer personalized customer shopping experiences. Automakers...

Artificial Intelligence is transforming how organizations operate, but it also introduces new security challenges that require specialized expertise. The AAISM Certification Prep Course helps professionals build the advanced knowledge needed to manage AI security pro...

Data science is about using scientific methods, processes, algorithms, and systems to analyze and extract insights from data. It empowers organizations to turn data into a valuable resource, leading to smarter decision-making, improved operations, and enhanced custom...

Gain a baseline understanding of the core concepts, tools, and roles in Data Science.

Learn about machine learning algorithms leveraging Python.

The AI Security Deep Dive is a comprehensive three-day intensive course designed for programmers, security analysts, and cybersecurity professionals who need to understand and defend against the unique security challenges posed by artificial intelligence and machine...

Agents powered by large language models (LLMs) are quickly gaining popularity as people are finding new capabilities and opportunities to greatly improve their productivity. An especially powerful recent development has been the popularization of retrieval-based LLM...

Very large deep neural networks (DNNs), whether applied to natural language processing (e.g., GPT-3), computer vision (e.g., huge Vision Transformers), or speech AI (e.g., Wave2Vec 2) have certain properties that set them apart from their smaller counterparts. As DNN...

Very large deep neural networks (DNNs), whether applied to natural language processing (e.g., GPT-3), computer vision (e.g., huge Vision Transformers), or speech AI (e.g., Wave2Vec 2) have certain properties that set them apart from their smaller counterparts. As DNN...

Natural language processing (NLP) solutions use language models to interpret the semantic meaning of written or spoken language. You can use the Language Understanding service to build language models for your applications.