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IT Courses Courses

course
Cloud Computing for Beginners: Infrastructure as a Service
  • 28 Classes

Learn the Technology, Concept and Market Use Cases of Infrastructure as a Service Model in Public Cloud Computing

  • 3000
    25000
What you will learn
  • Fundamental understanding of Cloud Computing
  • Private, Public, Hybrid and Multi Clouds
  • The Four Service Models - SaaS, PaaS, IaaS and FaaS
  • Virtualization Technologies - Virtual Machines and Containers
  • Microservice and Cloud-native Apps
  • Compute, Storage, Networking
  • IaaS - Pricing Models
  • IaaS - Market Use Cases
course
Network Security Fundamentals
  • 12 Classes

A network, in computing, is a group of two or more devices that can communicate. In practice, a network is comprised of a number of different computer systems connected by physical and/..

  • 3000
    15000
What you will learn
  • Networking Fundamentals
  • Types of Network Security
  • Types of Network Security Attacks
  • Security Policy & Architecture
  • Hardware and Software Security
  • Database & Information Security
  • Web and Wireless Security
  • Network Management and more.
course
Web Analytics Fundamentals
  • 13 Classes

Web analytics is the measurement, collection, analysis, and reporting of web data to understand and optimize web usage. Web analytics is not just a process for measuring web traffic but..

  • 3000
    15000
What you will learn
  • What Web Analytics is
  • Google Analytics and Web Analytics
  • Optimizely and KISS Metrics
  • Key Metrics in Web Analytics
  • Data Source in Web Analytics
  • Process of Segmentation
  • Web Analytics and Dashboard
  • Web Analytics Tools and more.
course
Artificial Intelligence & Machine Learning: Level-1
  • 28 Classes

Learn the Fundamental Concepts of Artificial Intelligence and Machine Learning as the Next Game-Changing Technology

  • 3000
    20000
What you will learn
  • Artificial Intelligence, Machine Learning and Deep Learning
  • Applied vs. Generalized AI
  • Features, Labels, Examples
  • The Process of Training a Model
  • Under-fitting and Over-fitting
  • Supervised/Unsupervised Learning
  • Classification and Regression
  • Clustering and Dimension Reduction
  • Reinforcement Learning
course
Artificial Intelligence & Machine Learning: Level-2
  • 41 Classes

Learn the Python Fundamentals and Pandas Library for Data Science Projects

  • 3000
    20000
What you will learn
  • Python for Data Science and Machine Learning Projects
  • Learn to use the Pandas Data Science Library
  • JupyterLab Development tool
  • Develop Jupyter Notebooks
  • Loading and Analysing Tabular Datasets
  • Selecting, Filtering, and Cleaning Data
  • Grouping, Sorting, and Exporting Data
course
Artificial Intelligence & Machine Learning: Level-3
  • 39 Classes

Learn to Master Data Visualization and perform Exploratory Data Analysis (EDA) using Python, Matplotlib and Seaborn

  • 3000
    25000
What you will learn
  • Perform Exploratory Data Analysis (EDA) for any Dateset
  • Visualise Data using a Variety of Charts Types
  • Learn Matplotlib and Seaborn Fundamentals
  • Creating Bar, Grouped Bar, Stacked Bar, Lollipop charts
  • Creating Pie, Tree-map charts
  • Creating Line, Area, Stacked Area charts
  • Creating Histogram, Density, Box-and-Whisker, Swarm charts
  • Creating Scatter, Correlogram, Heat-Map, Hexbin-Map charts
course
Cloud Computing for Beginners: Database Technologies
  • 30 Classes

Learn the Technology, Concept and Market Use Cases of Database Technologies and Database as a Service (DBaaS)

  • 3000
    20000
What you will learn
  • DB, DBMS, Schema, ETL/ELT
  • Operational and Analytics Data
  • OLTP and OLAP
  • Data Warehouse\Lake
  • Batch and Stream Processing
  • SQL, NoSQL, NewSQL Technologies
  • In-memory and Time-series Technologies
  • NoSQL - Key-Value, Document, Wide column, Graph
  • Database as a Service (DBaaS)
  • DBaaS Portfolio Overview - Azure, AWS, GCP