Edureka! Masterclass

Webinars to broaden your tech horizon. Introducing Edureka Masterclass, a webinar series created to help you understand and immerse yourself in the latest trending technologies.

990+ Webinars
138900+ Learners

Upcoming Webinars

Reinforcement Tutorial For Beginners

31st May 02:30 PM (IST)
234 Registered

Exploratory Data Analysis Using Python in 90 Minutes

31st May 08:00 PM (IST)
422 Registered

Azure DevOps Explained in 90 Minutes

1st June 02:30 PM (IST)
148 Registered

Introduction to Continuous Integration in 90 Minutes

1st June 08:00 PM (IST)
60 Registered

Tableau Online Tutorial for Beginners

2nd June 02:30 PM (IST)
64 Registered

Apache Hive Tutorial in 90 Minutes

2nd June 08:00 PM (IST)
79 Registered

Python Flask Tutorial For Beginners

3rd June 02:30 PM (IST)
107 Registered

AWS Data Pipeline Explained in 90 Minutes

3rd June 08:00 PM (IST)
19 Registered

Mathematics for Machine Learning

4th June 02:30 PM (IST)
175 Registered

DevOps

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Description

DevOps is a software development strategy which bridges the gap between Dev and Ops teams. DevOps Engineer ranks #2 on Glassdoor’s 50 Best Jobs in America rankings. “the role of DevOps Engineer has seen a 225% jump in postings on Indeed,” according to an SD Times report.

Agenda

  • What is Azure?
  • What is DevOps?
  • DevOps Azure Components
  • Hands-On
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Description

DevOps is a software development strategy which bridges the gap between Dev and Ops teams. DevOps Engineer ranks #2 on Glassdoor’s 50 Best Jobs in America rankings. “the role of DevOps Engineer has seen a 225% jump in postings on Indeed,” according to an SD Times report.

Agenda

  • Traditional Integration and its Problems
  • What is Continuous Integration?
  • Benefits of Continuous Integration
  • Jenkins – The Ultimate CI Tool
  • Jenkins Plugins
  • Hands-On
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Description

DevOps is a software development strategy which bridges the gap between Dev and Ops teams. DevOps Engineer ranks #2 on Glassdoor’s 50 Best Jobs in America rankings. “the role of DevOps Engineer has seen a 225% jump in postings on Indeed,” according to an SD Times report.

Agenda

  • What is Kubernetes?
  • Kubernetes Cluster
  • Kubernetes Networking
  • Network Plugins
  • Hands-On
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Description

DevOps is a software development strategy which bridges the gap between Dev and Ops teams. DevOps Engineer ranks #2 on Glassdoor’s 50 Best Jobs in America rankings. “the role of DevOps Engineer has seen a 225% jump in postings on Indeed,” according to an SD Times report.

Agenda

  • What is a Web Server?
  • What is NGNIX?
  • NGNIX architecture
  • Installation of NGNIX
  • Hands-On
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Description

DevOps is a software development strategy which bridges the gap between Dev and Ops teams. DevOps Engineer ranks #2 on Glassdoor’s 50 Best Jobs in America rankings. “the role of DevOps Engineer has seen a 225% jump in postings on Indeed,” according to an SD Times report.

Agenda

  • What is Kubernetes?
  • What is a Pod?
  • Replication Controller
  • Replica Set
  • Deployment Controller
  • Hands-On
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Data Science

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Description

Data Science is a blend of various tools, algorithms, and machine learning principles with the goal to discover hidden patterns from the raw data. Data Scientist is considered as the sexiest job of 21st century.

Agenda

  • Why mathematics in Machine Learning?
  • Linear Algebra
  • Multivariate Calculus
  • Probability
  • Statistics
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Description

Data Science is a blend of various tools, algorithms, and machine learning principles with the goal to discover hidden patterns from the raw data. Data Scientist is considered as the sexiest job of 21st century.

Agenda

  • Need of Data Science
  • What Is Data Science?
  • How Python Is Used For Data Science?
  • Data Manipulation In Python
  • Implement Machine Learning Using Python
  • Hands-On
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Description

Data Science is a blend of various tools, algorithms, and machine learning principles with the goal to discover hidden patterns from the raw data. Data Scientist is considered as the sexiest job of 21st century.

Agenda

  • Introduction To Data Science
  • Types Of Clustering
  • What Is K-Means Clustering?
  • How Does a K-Means Algorithm Work?
  • Hands-On
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Description

Data Science is a blend of various tools, algorithms, and machine learning principles with the goal to discover hidden patterns from the raw data. Data Scientist is considered as the sexiest job of 21st century.

Agenda

  • Introduction to Data Science
  • Introduction to Tableau
  • Why use Tableau for Data Science?
  • Hands-On
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Description

Data Science is a blend of various tools, algorithms, and machine learning principles with the goal to discover hidden patterns from the raw data. Data Scientist is considered as the sexiest job of 21st century.

Agenda

  • Introduction to Data Science
  • Why is SQL needed for Data Science?
  • What is SQL?
  • Basics of SQL
  • Hands-On
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Big Data & Hadoop

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Description

Big Data refers to the large amounts of data that is pouring in from various data sources and has different formats. Traditional relational database systems are incapable of handling this Data. Big Data is much more than a collection of datasets with different formats, it is an important asset that can be used to obtain enumerable benefits.

Agenda

  • What is Apache Hive?
  • Hive Features
  • Hive Architecture
  • Hive Data Types
  • Hive Models
  • Hands-On
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Description

Big Data refers to the large amounts of data that is pouring in from various data sources and has different formats. Traditional relational database systems are incapable of handling this Data. Big Data is much more than a collection of datasets with different formats, it is an important asset that can be used to obtain enumerable benefits.

Agenda

  • Introduction to Big Data
  • What is Hadoop?
  • Introduction to the Hadoop Ecosystem
  • Hadoop Ecosystem Components
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Description

Big Data refers to the large amounts of data that is pouring in from various data sources and has different formats. Traditional relational database systems are incapable of handling this Data. Big Data is much more than a collection of datasets with different formats, it is an important asset that can be used to obtain enumerable benefits.

Agenda

  • Introduction to Talend
  • Talend Components
  • File Components
  • Processing Components
  • Database Components
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Description

Big Data refers to the large amounts of data that is pouring in from various data sources and has different formats. Traditional relational database systems are incapable of handling this Data. Big Data is much more than a collection of datasets with different formats, it is an important asset that can be used to obtain enumerable benefits.

Agenda

  • What is Hadoop MapReduce?
  • MapReduce in nutshell
  • Advantages of MapReduce
  • Hadoop MapReduce Approach with an Example
  • Hadoop MapReduce/YARN Components
  • YARN With MapReduce
  • YARN Application Workflow
  • MapReduce Program with Hands On
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Description

Big Data refers to the large amounts of data that is pouring in from various data sources and has different formats. Traditional relational database systems are incapable of handling this Data. Big Data is much more than a collection of datasets with different formats, it is an important asset that can be used to obtain enumerable benefits.

Agenda

  • Why we need HBase?
  • What is HBase?
  • Difference between HDFS and HBase
  • Features of HBase
  • HBase Architecture
  • Hands-On
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Machine Learning

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Description

Machine Learning is a concept which allows the machine to learn from examples and experience, and that too without being explicitly programmed. 47% of organizations participating in a recent survey say they have either scaled up and industrialized machine learning or are moving projects into production

Agenda

  • Why mathematics in Machine Learning?
  • Linear Algebra
  • Multivariate Calculus
  • Probability
  • Statistics
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Python

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Description

Python is a widely-used general-purpose, high-level programming language. Its design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer lines of code.

Agenda

  • What is Exploratory Data Analysis?
  • What is the objective of EDA?
  • Steps involved in Exploratory Data Analysis
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Description

Python is a widely-used general-purpose, high-level programming language. Its design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer lines of code.

Agenda

  • Introduction to Flask
  • Installing and working with Flask
  • Flask Application
  • Flask Routing
  • Flas Templates
  • Flask Extensions
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Description

Python is a widely-used general-purpose, high-level programming language. Its design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer lines of code.

Agenda

  • Need of Data Science
  • What Is Data Science?
  • How Python Is Used For Data Science?
  • Data Manipulation In Python
  • Implement Machine Learning Using Python
  • Hands-On
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Description

Python is a widely-used general-purpose, high-level programming language. Its design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer lines of code.

Agenda

  • Introduction to Python
  • Python Features
  • What is Artificial Intelligence?
  • Applications of AI
  • Machine learning and its Limitations
  • How Deep Learning works?
  • Deep Learning Applications
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Description

Python is a widely-used general-purpose, high-level programming language. Its design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer lines of code.

Agenda

  • What is Web Framework?
  • Why Python Django?
  • What is Django?
  • Django MVC - MVT Pattern
  • Hands-On
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Business Intelligence (BI)

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Description

Business intelligence (BI) is a technology-driven process for analyzing data and presenting actionable information to help executives, managers, and other corporate end-users make informed business decisions.

Agenda

  • What is Tableau?
  • Need for Tableau Online
  • What is Tableau Online?
  • Setting up your First Site
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Description

Business intelligence (BI) is a technology-driven process for analyzing data and presenting actionable information to help executives, managers, and other corporate end-users make informed business decisions.

Agenda

  • What is Excel?
  • Excel Screen Options
  • Backstage View
  • Workbooks and Worksheets
  • Formatting MS Excel Worksheets
  • Excel Formulas
  • Functions
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Description

Business intelligence (BI) is a technology-driven process for analyzing data and presenting actionable information to help executives, managers, and other corporate end-users make informed business decisions.

Agenda

  • Introduction to Python
  • Prerequisites
  • Using Python script to import data
  • using Python script to create visualizations
  • Drawbacks
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Description

Business intelligence (BI) is a technology-driven process for analyzing data and presenting actionable information to help executives, managers, and other corporate end-users make informed business decisions.

Agenda

  • Introdcution to Excel
  • Security
  • Themes
  • Graphics
  • Pivot Tables and Pivot Charts
  • Filtering Data
  • Language Translation
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Description

Business intelligence (BI) is a technology-driven process for analyzing data and presenting actionable information to help executives, managers, and other corporate end-users make informed business decisions.

Agenda

  • Introduction to Data Science
  • Introduction to Tableau
  • Why use Tableau for Data Science?
  • Hands-On
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Robotic Process Automation (RPA)

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Description

Robotic process automation (RPA) is an emerging form of business process automation technology based on the notion of metaphorical software robots or artificial intelligence workers. RPA is the process of automating workflows with the help of robots/ software to reduce the involvement of humans.

Agenda

  • What is RPA?
  • RPA Tools
  • Introduction to UiPath
  • UiPath Installation
  • UiPath Studio Components
  • Hands-On
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Description

Robotic process automation (RPA) is an emerging form of business process automation technology based on the notion of metaphorical software robots or artificial intelligence workers. RPA is the process of automating workflows with the help of robots/ software to reduce the involvement of humans.

Agenda

  • Introduction to Automation Anywhere
  • Automation Anywhere Components
  • Automation Anywhere Examples: Beginner and Advanced
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Description

Robotic process automation (RPA) is an emerging form of business process automation technology based on the notion of metaphorical software robots or artificial intelligence workers. RPA is the process of automating workflows with the help of robots/ software to reduce the involvement of humans.

Agenda

  • Introduction to UiPath
  • UiPath Components
  • UiPath Examples: Beginner and Advanced
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Mobile Development

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Description

Mobile application development is an action of procedures and processes involved in the development of small software and wireless computing devices. Like Web application development, mobile application development has its underlying foundations in progressively conventional programming advancement.

Agenda

  • Introduction to Kotlin
  • Why Kotlin?
  • Kotlin Fundamentals
  • Null Safety
  • Exceptions
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Description

Mobile application development is an action of procedures and processes involved in the development of small software and wireless computing devices. Like Web application development, mobile application development has its underlying foundations in progressively conventional programming advancement.

Agenda

  • Introduction to Kotlin
  • Kotlin Features
  • Class and Objects
  • Data Types
  • Kotlin vs Java
  • Advantages and Disadvantages of Kotlin
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Digital Marketing

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Description

With an estimate of $46 billion reach, Digital Marketing is sliding towards programmatic advertising and more than 85% of ads would be automated. The digital marketing industry is growing with 40% higher opportunities and the national average salary is quoted as $77,015 in the United States.

Agenda

  • Introduction to Digital Marketing
  • Channels of Digital Marketing
  • Google Analytics
  • Conversion Rate Optimization
  • How to become a Digital Marketer?
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Description

With an estimate of $46 billion reach, Digital Marketing is sliding towards programmatic advertising and more than 85% of ads would be automated. The digital marketing industry is growing with 40% higher opportunities and the national average salary is quoted as $77,015 in the United States.

Agenda

  • Strategies to create own tribe on social media
  • Content Creation tactics to resonate with followers
  • Ways to create virality in the content created
  • Integrating various digital platforms to create mass appeal
  • Tricks to gain new followers and engage with existing ones
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Deep Learning Using TensorFlow

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Description

Deep learning” refers to these artificial neural networks that are composed of many layers. It is the fastest-growing field in Machine Learning. It uses many-layered Deep Neural Networks (DNNs) to learn levels of representation and abstraction that make sense of data such as images, sound, and text.

Agenda

  • Introduction to ML
  • What is reinforcement learning?
  • Reinforcement learning process
  • Reinforcement learning concepts
  • Markov's decision principle
  • Hands-On
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Description

Deep learning” refers to these artificial neural networks that are composed of many layers. It is the fastest-growing field in Machine Learning. It uses many-layered Deep Neural Networks (DNNs) to learn levels of representation and abstraction that make sense of data such as images, sound, and text.

Agenda

  • Why mathematics in Machine Learning?
  • Linear Algebra
  • Multivariate Calculus
  • Probability
  • Statistics
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Description

Deep learning” refers to these artificial neural networks that are composed of many layers. It is the fastest-growing field in Machine Learning. It uses many-layered Deep Neural Networks (DNNs) to learn levels of representation and abstraction that make sense of data such as images, sound, and text.

Agenda

  • Introduction to Python
  • Python Features
  • What is Artificial Intelligence?
  • Applications of AI
  • Machine learning and its Limitations
  • How Deep Learning works?
  • Deep Learning Applications
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  • Get updated about latest technology webinars i.e AI , DevOps, Cloud, Blockchain etc.
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Description

Deep learning” refers to these artificial neural networks that are composed of many layers. It is the fastest-growing field in Machine Learning. It uses many-layered Deep Neural Networks (DNNs) to learn levels of representation and abstraction that make sense of data such as images, sound, and text.

Agenda

  • What is Keras?
  • Contributors of Keras
  • Kera models
  • Implementing Neural Network
  • Use case
Webinar Facts
Form Header Image RESERVE YOUR SPOT NOW
Please enter a correct Email ID
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Thank you for your Registration ! Add to Calender
How to join a webinar
Join our Meetup community
  • Get updated about latest technology webinars i.e AI , DevOps, Cloud, Blockchain etc.
  • Exclusive access to curated and personalized content from edureka
  • Win huge and exclusive discounts on all Edureka! courses
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