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Results for "GPU Inference Serving"

  • Johns Hopkins University

    Skills you'll gain: Artificial Neural Networks, Image Analysis, Event-Driven Programming, Program Development, Scalability, Applied Machine Learning, Deep Learning, C and C++, Memory Management, Performance Tuning, Software Development, C++ (Programming Language), Digital Signal Processing, Linear Algebra, Distributed Computing, Hardware Architecture, Mathematical Software, Programming Principles, System Programming, Machine Learning

  • Skills you'll gain: Descriptive Statistics, A/B Testing, Classification And Regression Tree (CART), Dashboard, Dashboard Creation, Model Evaluation, Model Deployment, Data-Driven Decision-Making, Risk Analysis, Histogram, Statistical Inference, Descriptive Analytics, Simulations, Predictive Modeling, Regression Analysis, Data Visualization, MLOps (Machine Learning Operations), Decision Making, Decision Tree Learning, Keras (Neural Network Library)

  • Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Cloud Deployment, Data Infrastructure, Infrastructure As A Service (IaaS), Kubernetes, Cloud Storage, Model Deployment, Hardware Architecture, Data Storage, Model Optimization, Cloud Engineering, Infrastructure Architecture, AI Workflows, Model Training, Computer Hardware, Network Architecture, Network Performance Management, Data Processing, Data Import/Export

  • Skills you'll gain: Root Cause Analysis, Data Ethics, Responsible AI, Law, Regulation, and Compliance, Retrieval-Augmented Generation, LLM Application, Operations Research, Regulatory Compliance, Strategic Decision-Making, Apache Kafka, Pareto Chart, Operational Analysis, Decision Intelligence, Stakeholder Communications, Revenue Management, Large Language Modeling, Real Time Data, Statistical Inference, General Data Protection Regulation (GDPR), Reinforcement Learning

  • Skills you'll gain: Model Deployment, Containerization, Application Deployment, MLOps (Machine Learning Operations), AI Orchestration, Docker (Software), Cloud Deployment, Kubernetes, AI Workflows, Model Training, Distributed Computing, Cloud Computing, Scalability, Cloud Infrastructure

  • Skills you'll gain: Computational Thinking, Logical Reasoning, Critical Thinking, Data Analysis, Deductive Reasoning, Mathematical Modeling, Analytical Skills, Analysis, Experimentation, Mathematics and Mathematical Modeling, Critical Thinking and Problem Solving, Data Literacy, Systems Thinking, Statistical Methods, Simulations, Predictive Modeling, Programming Principles, Decision Making, Statistical Inference, Prompt Engineering

What brings you to Coursera today?

  • Skills you'll gain: LLM Application, Hugging Face, Large Language Modeling, Model Deployment, Token Optimization, AI Workflows, OpenShift, AI Enablement, Model Training, Model Optimization, Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Cloud Deployment, Enterprise Architecture, Devops Tools, Model Evaluation, Performance Tuning, Virtualization, Data Science

  • Skills you'll gain: Computer Graphics, Software Architecture, Development Environment, Software Design, Maintainability, Software Visualization, Systems Architecture, Software Design Patterns, Code Reusability, Graphics Software, Systems Design, Cross Platform Development, Computer Graphic Techniques, Image Quality, System Design and Implementation, Video Game Development, Computer Programming Tools, Dataflow, Performance Tuning, Scalability

  • Skills you'll gain: Model Deployment, Kubernetes, Generative AI, Infrastructure as Code (IaC), MLOps (Machine Learning Operations), Application Deployment, Cloud-Native Computing, Containerization, Site Reliability Engineering, AI Orchestration, Cloud Deployment, Performance Tuning, Docker (Software), Application Performance Management, Distributed Computing, Capacity Management, Cloud Computing, Software Development, Information Technology, Computer Science

  • Skills you'll gain: Qualitative Research, Scientific Methods, Statistical Analysis, Statistical Hypothesis Testing, Research, Science and Research, Research Design, Sampling (Statistics), Research Reports, Interviewing Skills, Data Analysis, Data Collection, Research Methodologies, Probability & Statistics, Social Sciences, Statistical Methods, Regression Analysis, Statistical Inference, Statistics, R Programming

  • Skills you'll gain: Data Preprocessing, Unsupervised Learning, Model Evaluation, Time Series Analysis and Forecasting, Supervised Learning, Machine Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning Algorithms, Data Processing, Model Training, Feature Engineering, Artificial Intelligence, Deep Learning, Classification Algorithms, Model Optimization, Regression Analysis

  • Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Regression Testing, Kubernetes, Docker (Software), Feature Engineering, Containerization, Software Documentation, Data Pipelines, Git (Version Control System), Apache Airflow, Technical Documentation, Microservices, CI/CD, Unit Testing, API Design, Decision Intelligence, Performance Metric, Python Programming, Version Control