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    Results for "infrastructure architecture"

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Data Modeling in Power BI

      Skills you'll gain: Data Analysis Expressions (DAX), Data Modeling, Star Schema, Power BI, Database Design, Data Analysis, Data Transformation, Time Series Analysis and Forecasting, Performance Tuning, Data Visualization

      4.3
      Rating, 4.3 out of 5 stars
      ·
      746 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Data Science Model Deployments and Cloud Computing on GCP

      Skills you'll gain: Docker (Software), CI/CD, Cloud Computing Architecture, Application Performance Management, Apache Spark, Google App Engine

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      P

      Princeton University

      Computer Science: Algorithms, Theory, and Machines

      Skills you'll gain: Theoretical Computer Science, Data Structures, Computer Science, Computer Architecture, Algorithms, Programming Principles, Computational Logic, Computational Thinking, Java Programming, Computer Hardware

      4.7
      Rating, 4.7 out of 5 stars
      ·
      722 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Custom and Distributed Training with TensorFlow

      Skills you'll gain: Tensorflow, Deep Learning, Keras (Neural Network Library), Distributed Computing, Performance Tuning, NumPy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      434 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Excel

      Skills you'll gain: Excel Macros, Prompt Engineering, Microsoft Excel, Data Cleansing, Excel Formulas, Pivot Tables And Charts, Microsoft Copilot, Dashboard, Forecasting, Data Presentation, Data Storytelling, Data Processing, Data Visualization Software, Data Manipulation, Data Visualization, Predictive Modeling, Workflow Management, Data Wrangling, Data Quality, Statistical Analysis

      4.3
      Rating, 4.3 out of 5 stars
      ·
      211 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      P

      Politecnico di Milano

      Artificial Intelligence: an Overview

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning, Intellectual Property, Responsible AI, Legal Risk, Reinforcement Learning, Artificial Intelligence, General Data Protection Regulation (GDPR), Dimensionality Reduction, Cloud Platforms, Deep Learning, Hardware Architecture, Law, Regulation, and Compliance, Regulation and Legal Compliance, Information Privacy, Information Technology, Social Studies, Artificial Neural Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      682 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      Agentic AI with LangGraph, CrewAI, AutoGen and BeeAI

      Skills you'll gain: Agentic systems, Generative AI Agents, LLM Application, Application Design, Tool Calling, Large Language Modeling, Software Design Patterns, Data Validation

      5
      Rating, 5 out of 5 stars
      ·
      22 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      B

      Board Infinity

      Lifecycle, Monitoring & Troubleshooting in vSphere 8.x

      Skills you'll gain: Performance Tuning, Disaster Recovery, VMware ESX Servers, System Monitoring, Virtual Machines, Virtualization, Capacity Management, Patch Management, Debugging, Event Monitoring, Data Migration, System Configuration

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Fundamentals of Reinforcement Learning

      Skills you'll gain: Reinforcement Learning, Machine Learning, Artificial Intelligence, Markov Model, Algorithms, Linear Algebra, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Data Engineering, Big Data and ML on Google Cloud 日本語版

      Skills you'll gain: Dataflow, Data Pipelines, Google Cloud Platform, Unstructured Data, Data Lakes, Real Time Data, MLOps (Machine Learning Operations), Cloud Engineering, Big Data, Data Warehousing, Data Infrastructure, Cloud Infrastructure, Cloud Storage, Tensorflow, Data Visualization, Applied Machine Learning, Extract, Transform, Load, Dashboard, Data Presentation, Data Architecture

      4.4
      Rating, 4.4 out of 5 stars
      ·
      289 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      G

      Google Cloud

      프로덕션 머신러닝 시스템

      Skills you'll gain: MLOps (Machine Learning Operations), Performance Tuning, Tensorflow, Applied Machine Learning, Systems Design, Google Cloud Platform, Data Validation, Machine Learning, Distributed Computing, Scalability, Mobile Development Tools, Data Pipelines, Debugging

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Introduction to Applied Cryptography

      Skills you'll gain: Data Encryption Standard, Public Key Infrastructure, Cryptography, Cybersecurity, Public Key Cryptography Standards (PKCS), Key Management, Advanced Encryption Standard (AES), Encryption, Authentications, Arithmetic, Algorithms, Applied Mathematics, Data Integrity, Probability, Computer Science

      4.6
      Rating, 4.6 out of 5 stars
      ·
      998 reviews

      Beginner · Specialization · 3 - 6 Months

    1…757677…310

    In summary, here are 10 of our most popular infrastructure architecture courses

    • Data Modeling in Power BI: Microsoft
    • Data Science Model Deployments and Cloud Computing on GCP: Packt
    • Computer Science: Algorithms, Theory, and Machines: Princeton University
    • Custom and Distributed Training with TensorFlow: DeepLearning.AI
    • Microsoft Excel: Microsoft
    • Artificial Intelligence: an Overview: Politecnico di Milano
    • Agentic AI with LangGraph, CrewAI, AutoGen and BeeAI: IBM
    • Lifecycle, Monitoring & Troubleshooting in vSphere 8.x: Board Infinity
    • Fundamentals of Reinforcement Learning: University of Alberta
    • Data Engineering, Big Data and ML on Google Cloud 日本語版: Google Cloud

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