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This video on Artificial Intelligence and Deep Learning full course will help us understand the basics of artificial intelligence and Deep Learning and the different algorithms used to build AI models.

Basics of AI
Future of AI
AI of Detail
What is Deep Learning
Neural Networks
Tensorflow Object Detection
Recurrent Neural Network
What are GANs
Keras Tutorial
OpenCV
Deep learning Interview Questions

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What is Artificial Intelligence?
Artificial Intelligence is the process of building intelligent machines from vast volumes of data. Systems learn from past learning and experiences and perform human-like tasks. It enhances the speed, precision, and effectiveness of human efforts. AI uses complex algorithms and methods to build machines that can make decisions on their own. Machine Learning and Deep learning forms the core of Artificial Intelligence.

What is Deep Learning?
Deep learning can be considered as a subset of machine learning. It is a field that is based on learning and improving on its own by examining computer algorithms. While machine learning uses simpler concepts, deep learning works with artificial neural networks, which are designed to imitate how humans think and learn. Until recently, neural networks were limited by computing power and thus were limited in complexity. However, advancements in Big Data analytics have permitted larger, sophisticated neural networks, allowing computers to observe, learn, and react to complex situations faster than humans. Deep learning has aided image classification, language translation, speech recognition. It can be used to solve any pattern recognition problem and without human intervention.

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Post Graduate Program in AI and Machine Learning:
Ranked #1 AI and Machine Learning course by TechGig
Fast track your career with our comprehensive Post Graduate Program in AI and Machine Learning, in partnership with Purdue University and in collaboration with IBM. This AI and machine learning certification program will prepare you for one of the world’s most exciting technology frontiers. This Post Graduate Program in AI and Machine Learning covers statistics, Python, machine learning, deep learning networks, NLP, and reinforcement learning. You will build and deploy deep learning models on the cloud using AWS SageMaker, work on voice assistance devices, build Alexa skills, and gain access to GPU-enabled labs.

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In this video, we are going to cover *TensorFlow In 5 Minutes*. This video explains what is TensorFlow, why is it so popular, and why yiu and where we need TensorFlow.This video also covers applications of TensorFlow.

✅ 00:00 - TensorFlow In 5 Minutes
This phase of the video covers an introduction to TensorFlow.

✅ 00:50 - TensorFlow and Machine Learning
This part of the video covers the relationship between TensorFlow and Machine Learning.

✅ 01:24 - TensorFlow Environment
This phase of the video contains a detailed structure of which platforms are supported by TensorFlow.

✅ 02:05 - Rules for TensorFlow
This part of the video contains rules to be followed in TensorFlow.

✅03:25 - Applications of TensorFlow
This phase of the video contains applications of TensorFlow

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TensorFlow can be defined as the library developed by Google researchers to resolve problems regarding machine learning, artificial intelligence, and deep learning.
TensorFlow is used to develop machine learning models. Particularly the TensorFlow API used for this purpose. Machine Learning researchers use TensorFlow to create machine learning algorithms.TensorFlow is used to develop mobile applications, it is used in Google’s search engine to analyze vast amounts of data.
Twitter updated its platform to display tweets in the order of this ranking after implementing TensorFlow to rate tweets by importance for a particular user.

✅ What is Deep Learning?

Deep learning can be defined as a subset of machine learning concerned with neural networks designed to imitate the human brain. Deep Learning Engineers are offered a great salary. The average salary of a Deep Learning Engineer in the United States is $140,000 per year.Most Deep Learning Projects involve tools like TensorFlow, Keras, Pytorch, and many more.

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✅ About Deep Learning Course

This Deep Learning course with TensorFlow certification training is developed by industry leaders and aligned with the latest best practices. You’ll master deep learning concepts and models using Keras and TensorFlow frameworks through this TensorFlow course. Learn to implement deep learning algorithms with our TensorFlow training and prepare for a career as a Deep Learning Engineer. Achieve our deep learning certification and gain a competitive edge over your peers in your next interview.

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This Azure tutorial video will help you understand need of cloud computing, what is cloud computing, what is Azure, Azure services and more.
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Cloud infrastructure is set to dominate the IT space. Microsoft Azure is growing faster than any other cloud services provider with an incredible 154% YOY growth rate. The data is impressive and quite convincing as to why you could consider learning cloud technologies like MS Azure. The opportunities for Microsoft Azure certified aspirants have drastically multiplied in recent years. Cloud technologies like Azure are evolving at a rapid clip, outpacing the average rate of growth in the IT sector as a whole. Now, let us get started and understand what is Azure and how does it work along with the various Azure services.

Below topics are explained in this Azure tutorial for beginners:
1. Why cloud computing? ( 00:28 )
2. What is cloud computing? ( 01:39 )
3. What is Azure? ( 03:58 )
4. Azure services ( 05:41 )
5. Uses of Azure ( 09:16 )
6. Key takeaways ( 09:58 )

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You will find in-depth content on Azure. Browse further to discover similar resources on related topics, made available to you as a learning path. Enjoy top-quality learning for FREE.

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➡️ Post Graduate Program In Cloud Computing
This Post Graduate Program in Cloud Computing helps you become an expert in designing, planning, and scaling cloud implementations. Our Cloud Computing course helps you master the core skill sets required to design and deploy dynamically scalable and reliable applications on three popular cloud platform providers: Microsoft Azure, AWS, and GCP.

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✅ Key Features
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✅ Skills Covered
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This video on the "BlockChain and Cryptocurrency Full Course for 2022" video will help you understand blockchain and its fundamentals clearly and elaborately. Also, this tutorial helps you to understand what cryptocurrency is, how paper money came into existence, the future of cryptocurrency, the features of cryptocurrency, how cryptocurrency works, what makes cryptocurrencies special, and what is 'crypto' in cryptocurrency. You will also see a comparison between bitcoin, ether, and Dogecoin. So, let's deep dive into this Cryptocurrency for beginners video to understand how cryptocurrency actually works.

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About Simplilearn Blockchain Certification Training:
Simplilearn’s Blockchain Certification Training has been designed for developers who want to decipher the global craze surrounding Blockchain, Bitcoin and cryptocurrencies. You’ll learn the core structure and technical mechanisms of Bitcoin, Ethereum, Hyperledger and Multichain Blockchain platforms, use the latest tools to build Blockchain applications, set up your own private Blockchain, deploy smart contracts on Ethereum and gain practical experience with real-world projects.

Why learn Blockchain?
Blockchain technology is Satoshi Nakamoto's brainchild, enabling digital information to be distributed. A network of computing nodes makes up the Blockchain. Durability, robustness, success rate, transparency, and incorruptibility are some of the enticing characteristics of Blockchain. By design, Blockchain is a decentralized technology which is used by a global network of the computer to manage Bitcoin transactions easily. Many new business applications will result in the usage of Blockchain such as Crowdfunding, smart contracts, supply chain auditing, Internet of Things(IoT), etc.

After completing this course, you will be able to:
1. Apply Bitcoin and Blockchain concepts in business situations
2. Build compelling Blockchain applications using the Ethereum Blockchain
3. Design, test and deploy secure Smart Contracts
4. Use the latest version of Ethereum development tools (Web3 v1.0)
5. Develop Hyperledger Blockchain applications using Composer Framework
6. Model the Blockchain applications using Composer modelling language
7. Develop front-end (client) applications using Composer API
8. Leverage Composer REST Server to design a web-based Blockchain solution
9. Design Hyperledger Fabric Composer Business Network 10.
10. Understand the true purpose and capabilities of Ethereum and Solidity
11. See practical examples of Blockchain and mining
12. Describe the various components of Hyperledger Fabric Technology (Peers, Orderer, MSP, CA)

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This Selenium full course will help you understand what is Selenium and how it works, Selenium suite of tools, manual testing, Selenium IDE, Selenium RC, Selenium installation, APIs in Selenium, Selenium web driver, along with most important Selenium interview questions.

This Selenium Tutorial video has brushed upon the topics in brief and explains the following concepts:
00:01:28 What is Selenium
00:3:15 Challenges of Manual Testing
00:07:57 Advent of Selenium
00:10:44 Selenium Tool Suite
00:30:50 Selenium Versions
00:31:26 Advantages of Selenium Testing
00:34:30 Selenium Installation on Windows
00:52:57 Selenium Installation on Mac
01:13:47 Selenium Automation Framework
01:21:04 Selenium IDE Tutorial
02:58:01 Selenium Webdriver Tutorial
04:02:04 XPath in Selenium WebDriver
04:12:43 Selenium Chrome Driver Tutorial
04:30:39 TestNG Annotations
04:40:49 Page Object Design Pattern
04:52:46 Selenium vs. QTP
04:58:41 Selenium Jobs and Salary
05:00:58 Selenium Interview Questions

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Selenium training has been designed to help developers and manual testers learn how to automate web applications with a robust framework, and integrate it within the DevOps processes of an organization. The course contains a lot of real-life examples and situations to demonstrate how to use Selenium WebDriver effectively. The training starts with a refresher course on core Java concepts and covers the basics of Test Automation and its importance in the industry. The course includes basic as well as advanced concepts of WebDriver and other tools/frameworks like TestNG, Maven, AutoIT, Sikuli, log4j. Special focus is given on building a robust framework with Page Object Design Pattern, Data-Driven Approach, and creating reusable components to improve productivity.

What are the objectives of this Selenium training course?
This course will enable you to:
1. Revise the core Java concepts which are essential for learning Selenium WebDriver
2. Understand the scope of Test Automation in DevOps and fundamentals of Test Automation
3. Create Test Cases using Selenium IDE – Record and Playback tool
4. Understand Selenium WebDriver architecture and various layers of interaction
5. Set up WebDriver project in Eclipse and write test cases using TestNG
6. Locate elements using various locating techniques
7. Work with various WebDriver commands to drive web browser and various WebElement commands to deal with various web components
8. Learn to deal with various possible scenarios in terms of pop-ups, multiple Windows, frames, taking screenshots
9. Implement Page Object Design Pattern and Data-Driven Testing
10. Understand how to use Maven, ANT, AutoIT, Sikuli, log4j, and listeners

Who should take this Selenium training course?
The course is ideal for :
1. Test Managers
2. Test Engineers
3. Test Lead
4. Test Analyst
5. QA Engineers
6. Software Developers
7. Engineers who want to learn Automation testing

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➡️ This video on MongoDB Full Course by simplilearn is based on the most widely used NoSQL Database and its fundamentals from scratch.MongoDB is a popular open-source NoSQL database that provides high scalability, performance, and flexibility. Unlike traditional relational databases that use tables and rows to store data, MongoDB uses a document-oriented data model, which allows it to store data in a more natural way, as BSON (Binary JSON) documents.ThisTutorial For Beginners will also include the most Basic concepts like Data modeling, operators, projection to the advanced level topics like replication, sharding, map reduce, etc. By end of the Session You will be able to master mongodb and implement the concepts on your own. We will also talk about the Required skills of a MongoDB developer after that we have lined up an interview question and Answer series. So lets get started

▶️ Following are the topics covered in this Tutorial:
0:00:00 Introduction to MongoDB Full Course 2023
0:02:38 What is MongoDB?| Introduction to Mongodb
0:21:30 What is NoSQL Databases?
0:37:44 How to install MongoDB on Windows
0:40:15 Data Modelling in MongoDB| What is Data Modelling?
0:53:32 Operators in MongoDB
01:14:48 Regex in MongoDB| What are Regular Expressions in MongoDB?
01:30:26 What is Projection in MongoDB| MonnogDB Projection Explained
01:46:40 MongoDB Sorting and Limiting Tutorial
02:06:54 What is Indexing in MongoDB? | MonogDB Indexing Tutorial
02:36:06 MongoDB Aggregation Tutorial | What is Aggregation in MongoDB?
02:52:28 Replication in MongoDB Explained | What is MongoDB Replication?
03:04:02 MongoDB Sharding Explained| What is Sharding in MongoDB?
03:16:50 Relationships in MongoDB
03:25:47 What is GridFS in MongoDB| GridFS in mongoDB Explained
03:46:16 MapReduce Explained in MongoDB
04:02:54 What is Database Reference in MongoDB?
04:11:17 Covered and Analyazing Queries in MongoDB Explained
04:28:20 How to perform Atomic Operations in MongoDB?
04:46:40 Capped collections in MongoDB Explained
05:03:30 MongoDB Authentication Commands
05:17:20 User Management Commands in MongoDB
05:31:54 Session Commands explained in MongoDB
05:45:36 Backup and Restore in MongoDB
06:03:36 MongoDB PHP
06:31:!5 MongoDB Java
06:54:36 SQL vs MongoDB
07:08:33 MongoDB Interview Questions and Answers

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🔥 Full Stack Developer - MEAN Stack:

This program will advance your career as a MEAN stack developer. You’ll learn top skills such as MongoDB, Express.js, Angular, and Node.js (“MEAN”), plus GIT, HTML, CSS, and JavaScript to build and deploy interactive applications and services throughout this Full Stack MEAN Developer program.

Key Features:
✅ Comprehensive Blended Learning program
✅ 8X higher interaction in live online classes conducted by industry experts
✅ 150 hours of instructor-led training
✅ 120 hours of self-paced learning
✅ 20+ in-demand tools and skills
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Skills Covered:
✅ Agile
✅ HTML
✅ CSS
✅ HTTP
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✅ API Testing with Postman

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In today's video, "Matlab tutorial for beginners," will cover Matlab from basic to scratch. In this video, we will learn the fundamentals of Matlab, Matlab Graphical User Interface, Matlab Variables, Data types in Matlab, Operators in Matlab, and much more. By the end of this video, you will understand Matlab and be able to write and run basic Matlab programs.

In this video, we will cover,
00:00 Introduction to MatLab
01:34 What is Matlab?
01:51 Matlab GUI
03:34 Understanding MATLAB Variables
14:03 Types of Variables
18:22 Matlab Data Types
20:30 MATLAB Operators
34:14 Creating Scripts
38:34 Basic Math Operations
46:48 MATLAB Functions
50:37 Defining Functions.
54:03 Basic Programs

What is Matlab?
MATLAB is a versatile computer program that performs mathematical calculations, visualization, and programming at high speed.
👉GUI of Matlab
The GUI of Matlab is very user-friendly and interactive.
👉Matlab Variables
Generally, a variable is used to store data. And can store any kind of data like a scalar, vector, and matrices.
👉Matlab operator
An operator is a symbol that tells the compiler to perform various numerical or logical operations.

👉Matlab Functions
Functions are tasks or a set of tasks that are performed on a given set of input that converts the input into a preferred output.


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✅ About Data Analyst Master's Program

This Data Analytics course in collaboration with IBM makes you a Data Analytics expert. Our Data Analyst course helps you learn analytics tools and techniques, how to work with SQL databases, R and Python, how to create data visualizations, and apply statistics and predictive analytics in a business environment. This Data Analytics certification also features Masterclasses from IBM experts.

✅ What are the Data Analyst course learning objectives?

Simplilearn’s Data Analyst course delivered in collaboration with IBM will provide you with extensive expertise in the booming field of data analytics. This Data Analytics training will teach you how to master descriptive and inferential statistics, hypothesis testing, regression analysis, data blending, data extraction, and forecasting. Through this Data Analyst course, you will also gain expertise in data visualization techniques using Tableau and Power BI, and learn how to organize data and design dashboards.

This Data Analyst course is designed to help those currently employed in the non-technical workforce learn work-ready data analytics skills easily. Those with a basic understanding of mathematical concepts and with the intent to learn programming and other required skills will be able to complete the Data Analytics certification course and be on their way to becoming Data Analyst.

✅ Tools Covered

- Microsoft Excel
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- SciPy
- Python
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In this YouTube Ads Tutorial 2023, we'll walk you through everything you need to know to create effective ads on YouTube. From targeting options and ad formats to bidding strategies and campaign optimization, we'll cover it all in this Complete YouTube Ads Course in 1 Hour. We'll start by explaining the Benefits of using Youtube Ads and the different types of ads, including in-stream ads, discovery ads, bumper ads, and more. You'll learn which ad formats work best for different goals, and how to create compelling ad content that resonates with your target audience. Next, we'll dive into targeting options, including demographic targeting, interest targeting, and remarketing. We'll show you how to use these targeting options to reach the right people at the right time, and maximize your ad spend.
We'll also cover bidding strategies, including cost-per-view and cost-per-impression, and provide tips on how to set your bids to achieve your desired results. Finally, we'll discuss how to measure and optimize your YouTube Ads campaigns, using metrics like view-through rate, click-through rate, and conversion rate.
By the end of this YouTube Ads Tutorial 2023, you'll have a solid understanding of how to create and optimize effective ads on YouTube and be well on your way to achieving your marketing goals.

YouTube Ads Tutorial 2023 Content:
00:00 YouTube Ads Tutorial 2023 - Introduction
05:22 What is YouTube Ads?
15:58 What are the Benefits of using YouTube Ads?
24:40 Types of YouTube Ads
33:13 YouTube Ads Targeting
34:37 How to create YouTube Ads?
43:24 Tips & Tricks of YouTube Ads

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What are YouTube Ads?
YouTube Ads are online advertisements that allow businesses and content creators to promote their products, services, or content on the YouTube platform. They come in various ad formats and target specific audiences based on demographics, interests, and behaviors. Advertisers set their budget and bidding strategy and track ad performance through metrics like views, clicks, and conversions. YouTube Ads help businesses and content creators reach a large audience, increase brand awareness, and generate sales or leads.

Types of Youtube Ads
- In-stream Ads
- Discovery Ads
- Bumper Ads
- Non-Skippable In-stream Ads
- OutStream Ads
- Masthead Ads
- Overlay Ads

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✅ About Professional Certificate Program In Digital Marketing:
Fast-track your career with Professional Digital Marketing Course in collaboration with Purdue University and Meta Blueprint. Learn top digital marketing tools with this online marketing course featuring Masterclasses from Meta and Purdue and Harvard Business Publishing case studies.

✅ Key Features
- Certificate from Simplilearn in collaboration with Purdue University
- Masterclasses delivered by Purdue faculty
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✅ Skills Covered
- Search Engine Optimization
- Content Marketing
- Web Analytics
- Keyword Management and Research
- Keyword Research
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- Ad Testing and Extensions
- More

✅ Tools Covered
- SE Ranking
- Hootsuite
- Google Ads
- Google Tag Manager
- Google Keyword Planner
- Google Data Studio
- Youtube Analytics
- Facebook, Instagram, Youtube, LinkedIn, Twitter
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This MongoDB Tutorial or MongoDB full course will help you understand the working of MongoDB. MongoDB is a NoSQL, document-based database management system. It is widely used for full-stack development. This video introduces you to MongoDB, helps you install the same on your system and demonstrates various database operations. This full course video also covers how to connect MongoDB with Python and draws a comparison between MySQL and MongoDB. Here's the list of contents -

00:00:00 MongoDB Tutorial
00:01:37 What is MongoDB?
00:06:30 MongoDB Installation on Windows
00:09:47 MongoDB Tutorial for beginners
01:44:02 Python MongoDB
02:11:23 MongoDB vs MySql

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➡️ Post Graduate Program In Full Stack Web Development
This program will give you the foundation for building full stack web apps using the Java programming language. You'll begin with the basics of JavaScript, and then venture into some of the more advanced concepts like Angular, Spring Boot, Hibernate, JSPs, and MVC. Now is a perfect time to get started on your career as a full stack web developer!

✅ Key Features
Caltech CTME Post Graduate Certificate
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Receive upto 25 CEUs from Caltech CTME
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8X higher interaction in live online classes conducted by industry experts
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20 lesson-end and 5 phase-end projects
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Build your own portfolio on GitHub

✅ Skills Covered
- Agile
- JAVA
- Hibernate and JPA
- Spring Core 50
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- HTML5 and CSS3
- AWS
- JavaScript
- ES6Servlets
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- JSP

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This video explains the roadmap of data structures that could help you prepare for competitive programming. This tutorial aims to prepare a roadmap to learn data structures and algorithms.This video will cover the following concepts:

00:00 Introduction Roadmap For Data Structures
01:36 Programming language in Roadmap For Data Structures
03:42 Prerequisites for Roadmap For Data Structures
05:09 Data Structures (Roadmap For Data Structures)
08:25 Algorithm (Roadmap For Data Structures)
11:11 Online coding challenges in Roadmap For Data Structures
13:14 Some Tips/advise for Roadmap For Data Structures

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What Is a Data Structure?
The short answer is: a data structure is a specific means of organizing data in a system to access and use. The long answer is a data structure is a blend of data organization, management, retrieval, and storage, brought together into one format that allows efficient access and modification. It’s collecting data values, the relationships they share, and the applicable functions or operations.

Why Is Data Structure Important?
The digital world processes an increasing amount of data every year. According to Forbes, there are 2.5 quintillion bytes of data generated daily. The world created over 90 percent of the existing data in 2018 in the previous two years! The Internet of Things (IoT) is responsible for a significant part of this data explosion. Data structures are necessary to manage the massive amounts of generated data and a critical factor in boosting algorithm efficiency. Finally, since nearly all software applications use data structures and algorithms, your education path needs to include learning data structure and algorithms if you want a career as a data scientist or programmer. Interviewers want qualified candidates who understand how to use data structures and algorithms, so the more you know about the concepts, the more comfortably and confidently you will answer data structure interview questions.

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The Google Cloud Platform Tutorial video will cover all the important concepts of Google Cloud Platform. Google Cloud Platform is a set of cloud computing services provided by Google that runs on the same infrastructure that Google uses for its end-user products like, YouTube, Gmail and more. In this video, we will be looking into what is GCP? GCP tutorial, AWS vs GCP, GCP web hosting, Google cloud ML, GCP fundamentals, Google Cloud Platform Fundamentals (CP100A) Certification Training.

What is GCP?
GCP Tutorial
AWS vs GCP
GCP Web Hosting
Google Cloud ML
Google Cloud Platform Certificate Training

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Simplilearn's Google Cloud Platform (GCP) Architect certification program will empower you with the skills needed to advance your career in cloud architecture and become a certified Google Professional Cloud Architect. The course covers IAM, Networking, cloud storage, and much more. Simplilearn’s online Google Cloud Platform (GCP) Architect certification course introduces you to the flexible infrastructure and platform services provided by Google Cloud Platform. In this course, you will learn how to analyze and deploy infrastructure components such as networks, storage systems, and application services.

Key Features:
1. 100% Money Back Guarantee
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3. 20 demos included
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Eligibility: This Google Cloud Platform Architect course is well-suited for: Software developers, Cloud solutions architects, Systems operators, DevOps engineers

Pre-requisites:
1. Knowledge of Google Cloud Platform fundamentals or any cloud platform is beneficial.
2. Basic knowledge of command-line tools and Linux operating system environments.
3. Prior operations experience in deploying and managing applications, either on-premises or in a public cloud environment.

👉Learn more at: https://www.simplilearn.com/google-cloud-architect-certification-training-course?utm_campaign=GCPFSFeb19&utm_medium=Description&utm_source=youtubeL

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This video by simplilearn is based on Google Cloud In-depth tutorial for 2022. This google cloud in-depth tutorial will help you learn the critical fundamentals of the cloud according to the current IT Standards. Also, the tutorial will guide you with critical skills, tips and tricks required to become a cloud expert. In this video, we will be looking into what is GCP? GCP tutorial, AWS vs GCP, GCP web hosting, Google cloud ML, GCP fundamentals, Google Cloud Platform Fundamentals (CP100A) Certification Training.

What is GCP?
GCP Tutorial
AWS vs GCP
GCP Web Hosting
Google Cloud ML
Google Cloud Platform Certificate Training

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Simplilearn's Google Cloud Platform (GCP) Architect certification program will empower you with the skills needed to advance your career in cloud architecture and become a certified Google Professional Cloud Architect. The course covers IAM, Networking, cloud storage, and much more. Simplilearn’s online Google Cloud Platform (GCP) Architect certification course introduces you to the flexible infrastructure and platform services provided by Google Cloud Platform. In this course, you will learn how to analyze and deploy infrastructure components such as networks, storage systems, and application services.

Key Features:
1. 100% Money Back Guarantee
2. 20 hours of online self-paced learning
3. 20 demos included
4. Industry-recognized course completion certificate
5. Lifetime access to online self-paced learning

Eligibility: This Google Cloud Platform Architect course is well-suited for: Software developers, Cloud solutions architects, Systems operators, DevOps engineers

Pre-requisites:
1. Knowledge of Google Cloud Platform fundamentals or any cloud platform is beneficial.
2. Basic knowledge of command-line tools and Linux operating system environments.
3. Prior operations experience in deploying and managing applications, either on-premises or in a public cloud environment.

👉Learn more at: https://www.simplilearn.com/google-cloud-architect-certification-training-course?utm_campaign=GCPFS12Feb23&utm_medium=Description&utm_source=youtubeL

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This video on *Top 5 Technologies to Learn in 2023* brings you the trending technologies in 2023 that you should watch out for. With time, new technologies are evolving, technologies that help address global challenges and those that will make life simpler in the coming years.

Here is the list of *Top 5 Technologies To Learn In 2023*

01:09 *Robotics And Automation*
Robotics is a significant industry that is gaining momentum with time. The robotics market is estimated to reach $70.84 million by the end of 2023, with a CAGR of 10.5%.
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01:50 *IoT*
IoT devices are increasing by almost 31 percent yearly, and according to reports, there will be 30 billion IoT devices by 2022. It is estimated that the market value will reach or even exceed $1.6 trillion by the end of 2023 and so it's in the 4th position in the list of top 5 technologies 2023
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02:55 *Quantum Computing*
Quantum Computing uses the properties of quantum physics to perform calculations and simulations that would not be possible on a traditional machine. The Quantum computing market is estimated to reach US$411.4 Million by 2026 with a CAGR of 24.2%.
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03:45 *Web 3.0*
Decentralized cryptocurrency networks must ensure that transactions are carried out safely and securely without the involvement of a centralized organization like Visa or PayPal. It is estimated that the market value will reach $69 billion by the end of 2030.
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05:04 *AI and AI as a Service*
AI or Artificial Intelligence is the top most trending technology these days. It enables machines to think and act like humans. It is projected to reach USD 42.4 billion with a CAGR of 29.75%.
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⏩Top 10 Certifications for 2023: https://youtu.be/S6yadRofCsM
⏩Top 10 Highest Paying Jobs in 2023: https://youtu.be/9tL1m9MXaXQ
⏩Top 10 Dying Programming Languages: https://youtu.be/51mUwZ6J2D4

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✳️ About Simplilearn:

Simplilearn is the world’s #1 online bootcamp focused on helping people acquire the skills they need to thrive in the digital economy. Through individual courses, comprehensive certification programs, and partnerships with world-renowned universities, we provide millions of professionals and thousands of corporate training organizations with the work-ready skills they need to excel in their careers and businesses. With over 1,000 live classes each month, real-world projects, and more, professionals learn by doing at Simplilearn.

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In this Scrum Master full course, we will explain the most important concepts of the Scrum Methodology. We'll tell you about what is scrum, the components of the scrum process, the role of a scrum master, the scrum methodology, how scrum meetings work, how scrum and kanban are different from one another, interview questions, and much more!

Below are the topics we will cover in this video:
00:00:00 What is Scrum
00:34:39 Agile Scrum Master Training
01:58:26 Scrum Master Role and methodology
02:20:40 Scrum Meeting
02:30:09 Scrum Vs. kanban
02:41:50 Scrum Interview Questions

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➡️ Certified ScrumMaster® (CSM) Certification Training Course
This CSM certification course is focused on providing an improved understanding of Scrum methodologies and their implementation. It helps you become a Certified ScrumMaster®, a designation offered by Scrum Alliance to practitioners who have successfully completed a CSM certification course & demonstrate their understanding by passing the exam.

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✅ Skills Covered
- Scrum and Agile methodologies
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This video on Software Testing for beginners is designed, developed, and curated in collaboration with real-time industry experts. The course comprises fundamentals of software testing and also covers critical tools like selenium, JMeter, and Jenkins for helping learners to have a familiar understanding of the top devops tools in the current IT industry. This Software testing tutorial covers the basics of software testing and the automation tools used for software testing. We'll look at the test-driven development approaches with JUnit5, and understand the behavior-driven development approach with Cucumber.

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Simplilearn's DevOps Certification Training Course will prepare you for a career in DevOps, the fast-growing field that bridges the gap between software developers and operations. You’ll become an expert in the principles of continuous development and deployment, automation of configuration management, inter-team collaboration, and IT service agility, using modern DevOps tools such as Git, Docker, Jenkins, Puppet, and Nagios. DevOps jobs are highly paid and in great demand, so start on your path today.

Why learn DevOps?
Simplilearn’s DevOps training course is designed to help you become a DevOps practitioner and apply the latest in DevOps methodology to automate your software development lifecycle right out of the class. You will master configuration management; continuous integration deployment, delivery, and monitoring using DevOps tools such as Git, Docker, Jenkins, Puppet, and Nagios in a practical, hands-on, and interactive approach. The Devops training course focuses heavily on the use of Docker containers, a technology that is revolutionizing the way apps are deployed in the cloud today and is a critical skill set to master in the cloud age.

After completing the DevOps training course you will achieve hands-on expertise in various aspects of the DevOps delivery model. The practical learning outcomes of this Devops training course are:
An understanding of DevOps and the modern DevOps toolsets
The ability to automate all aspects of a modern code delivery and deployment pipeline using:
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4. Containerization through Docker
5. Configuration management tools
6. Monitoring tools

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DevOps career opportunities are thriving worldwide. DevOps was featured as one of the 11 best jobs in America for 2017, according to CBS News, and data from Payscale.com shows that DevOps Managers earn as much as $122,234 per year, with DevOps engineers making as much as $151,461. DevOps jobs are the third-highest tech role ranked by employer demand on Indeed.com but have the second-highest talent deficit.
1. This DevOps training course will be of benefit to the following professional roles:
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This tutorial will provide you an introduction to data structures. This Simplilearn tutorial will teach novices what data structure is and how to use it. We will discover real-world examples of data structures, as well as the types of data structures and their uses, in this data structures tutorial.

The following are some of the themes covered in this video:
00:00:00 Introduction What Is Data Structure?
00:01:21 What Is Data Structure?
00:02:07 What Is Data Structure? and Why do we need Data Structures?
00:04:17 What Is Data Structure? and it's Types
00:06:52 Importance of Data Structures

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Introduction to Data Structures?
A data structure is a collection of data pieces that provides an efficient method for storing and organizing data in a computer so that it may be used effectively. Arrays, Linked Lists, Stacks, Queues, and other Data Structures are examples. Data Structures are employed in practically every element of computer science, including operating systems, compiler design, artificial intelligence, graphics, and many more applications.

What Is a Data Structure?
The short answer is: a data structure is a specific means of organizing data in a system to access and use. The long answer is a data structure is a blend of data organization, management, retrieval, and storage, brought together into one format that allows efficient access and modification. It’s collecting data values, the relationships they share, and the applicable functions or operations.

Why Is Data Structure Important?
The digital world processes an increasing amount of data every year. According to Forbes, there are 2.5 quintillion bytes of data generated daily. The world created over 90 percent of the existing data in 2018 in the previous two years! The Internet of Things (IoT) is responsible for a significant part of this data explosion. Data structures are necessary to manage the massive amounts of generated data and a critical factor in boosting algorithm efficiency. Finally, since nearly all software applications use data structures and algorithms, your education path needs to include learning data structure and algorithms if you want a career as a data scientist or programmer. Interviewers want qualified candidates who understand how to use data structures and algorithms, so the more you know about the concepts, the more comfortably and confidently you will answer data structure interview questions.

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