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  • DevOps Specialization

    Course
    7,762 Learners

    Learn DevOps Tools - Linux, Git, Docker, Kubernetes, Ansible, Terraform, Jenkins, and Graffana. Training will cover all the stages of the software development lifecycle.

  • Data Science Specialization

    Course
    13,500 Learners

    Learn Python, NumPy, Pandas, Scikit-learn, HDFS, ZooKeeper, Hive, HBase, NoSQL, Oozie, Flume, Sqoop, Spark, Spark RDD, Spark Streaming, Kafka, SparkR, SparkSQL, MLlib, Regression, Clustering, Classification, SVM, Random Forests, Decision Trees, Dimensionality Reduction, TensorFlow 2, Keras, Convolutional & Recurrent Neural Networks, Autoencoders, and Reinforcement Learning

  • Learn HDFS, ZooKeeper, Hive, HBase, NoSQL, Oozie, Flume, Sqoop, Spark, Spark RDD, Spark Streaming, Kafka, SparkR, SparkSQL, MLlib, and GraphX.

  • Learn Python, NumPy, Pandas, scikit-learn, Regression, Clustering, Classification, SVM, Random Forests, Decision Trees, Dimensionality Reduction, TensorFlow 2, Keras, Convolutional & Recurrent Neural Networks, Autoencoders, and Reinforcement Learning

  • Big Data with Hadoop

    Course
    9,025 Learners

    Learn HDFS, ZooKeeper, Hive, HBase, NoSQL, Oozie, Flume and Sqoop

  • Big Data with Spark

    Course
    9,025 Learners

    Learn Spark, Spark RDD, Spark Streaming, Kafka, SparkR, SparkSQL, MLlib, and GraphX

  • NLP Specialization

    Course
    6,500 Learners

    Learn Python, Artificial Neural Networks, TensorFlow 2, Convolutional & Recurrent Neural Networks, and Natural Language Processing

  • Computer Vision

    Course
    8,500 Learners

    Learn Open CV, Python, Artificial Neural Networks, TensorFlow 2, Convolutional & Recurrent Neural Networks, Autoencoders and Reinforcement Learning

  • Machine Learning

    Course
    17,000 Learners

    Learn Python, NumPy, Scipy, Pandas, Jupyter, Scikit-learn, Regression, Clustering, Classification, Support Vector Machines, Random Forests, Decision Trees and Dimensionality Reduction

  • AI for Everyone

    Course
    1,831 Learners

    Learn what Artificial Intelligence (AI) is by understanding its key concepts, applications, and process.Without prior Programming Experience

  • AI for Managers

    Course
    1,885 Learners

    This "AI for Managers" course is designed exclusively for managers (project managers, CXO's, directors, VP's, senior managers, team leads, etc.) with our unique cloud lab access.

  • Deep Learning

    Course
    11,051 Learners

    Learn Deep Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Autoencoders, and Reinforcement Learning

  • Python for Machine Learning

    Course
    6,532 Learners

    Learn Python, Jupyter, Linux, NumPy, SciPy, Scikit-learn, Pandas, Linear algebra, From Industry Experts. A foundation course for Machine Learning & Data Science

  • Python for Beginners

    Course
    3,532 Learners

    Learn Python foundations, Conditional Execution, Loops, Strings, Files, Lists, Tuples, Dictionaries, Jupyter and Linux from Industry Experts.

  • Linux Basics

    Topic
    27 Concepts | 33 Questions | 25 Assessments | 18,307 Learners

    Welcome to the tutorial on Linux Basics.

    As part of this Linux tutorial, you will learn how to work in Linux Console. Most of the command and concepts are same in other Unix based systems.

    Whether you are building a server-side application, creating an API, working data science, Linux is a very important skill. With Linux, you can almost automate anything.

    This tutorial is very hands-on, it would make you do things in real-time in CloudxLab.

    Happy Learning!

    Instructor: Sandeep Giri