• Regeln für den Video-Bereich:

    In den Börsenbereich gehören nur Angebote die bereits den Allgemeinen Regeln entsprechen.

    Einteilung

    - Folgende Formate gehören in die angegeben Bereiche:
    - Filme: Encodierte Filme von BluRay, DVD, R5, TV, Screener sowie Telesyncs im Format DivX, XviD und x264.
    - DVD: Filme im Format DVD5, DVD9 und HD2DVD.
    - HD: Encodierte Filme mit der Auflösung 720p oder darüber von BluRay, DVD, R5, TV, Screener sowie Telesyncs im Format x264.
    - 3D: Encodierte Filme von BluRay, die in einem 3D Format vorliegen. Dies gilt auch für Dokus, Animation usw.
    - Serien: Cartoon/Zeichentrick, Anime, Tutorials, Dokumentationen, Konzerte/Musik, Sonstiges sind demnach in die entsprechenden Bereiche einzuordnen, auch wenn sie beispielsweise im High Definition-Format oder als DVD5/DVD9/HD2DVD vorliegen. Ausnahme 3D.
    - Bereich Englisch: Englische Releases gehören immer in diesen Bereich.
    - Bereich Talk: Der Bereich, in dem über die Releases diskutiert werden kann, darf, soll und erwünscht ist.


    Angebot/Beitrag erstellen

    - Ein Beitrag darf erst dann erstellt werden, wenn der Upload bei mindestens einem OCH komplett ist. Platzhalter sind untersagt.
    - Bei einem Scenerelease hat der Threadtitel ausschließlich aus dem originalen, unveränderten Releasenamen zu bestehen. Es dürfen keine Veränderungen wie z.B. Sterne, kleine Buchstaben o.ä. vorgenommen werden. Ausnahme Serienbörse:
    - Bei einem Sammelthread für eine Staffel entfällt aus dem Releasename natürlich der Name der Folge. Beispiel: Die Simpsons S21 German DVDRip XviD - ITG
    - Dementsprechend sind also u.a. verboten: Erweiterungen wie "Tipp", "empfehlenswert", "only", "reup", usw. / jegliche andere Zusatzinformation oder Ergänzung, welche nicht in obiger Beschreibung zu finden ist.

    Aufbau des Angebots und Threadtitel

    Der Titel nach folgendem Muster erstellt zu werden. <Name> [3D] [Staffel] [German] <Jahr> <Tonspur> [DL] [Auflösung] <Quelle> <Codec> - <Group>
    Beispiel: The Dark Knight German 2008 AC3 DVDRip XviD - iND
    Beispiel: The Dark Knight 2008 DTS DL BDRip x264 - iND
    Beispiel: The Dark Knight 2008 AC3 DL BDRip XviD - iND
    Beispiel: The Dark Knight German 2008 AC3 720p BluRay x264 iND
    Beispiel: The Dark Knight 2008 DTS DL 1080p BluRay x264 iND
    Beispiel: Die Simpsons S01 German AC3 DVDRip XviD iND
    Beispiel: Die Simpsons S20 German AC3 720p BluRay x264 iND
    Beispiel: Sword Art Online II Ger Sub 2014 AAC 1080p WEBRip x264 - peppermint
    Entsprechend sind also u.a. verboten: Sonderzeichen wie Klammern, Sterne, Ausrufezeichen, Unterstriche, Anführungszeichen / Erweiterungen wie "Tipp", "empfehlenswert", "only", "reup", usw. / jegliche andere Zusatzinformation oder Ergänzung, welche nicht in obiger Beschreibung zu finden ist
    Ausnahmen hiervon können in den Bereichen geregelt sein.

    Die Beiträge sollen wie folgt aufgebaut werden:
    Überschrift entspricht dem Threadtitel
    Cover
    kurze Inhaltsbeschreibung
    Format, Größe, Dauer sind gut lesbar für Downloader außerhalb des Spoilers zu vermerken
    Nfo sind immer Anzugeben und selbige immer im Spoiler in Textform.
    Sind keine Nfo vorhanden z.B. Eigenpublikationen, sind im Spoiler folgende Dateiinformationen zusätzlich anzugeben :
    Quelle
    Video (Auflösung und Bitrate)
    Ton (Sprache, Format und Bitrate der einzelnen Spuren)
    Untertitel (sofern vorhanden)
    Hosterangabe in Textform außerhalb eines Spoiler mit allen enthaltenen Hostern.
    Bei SD kann auf diese zusätzlichen Dateiinformationen verzichtet werden.

    Alle benötigten Passwörter sind, sofern vorhanden, in Textform im Angebot anzugeben.
    Spoiler im Spoiler mit Kommentaren :"Schon Bedankt?" sind unerwünscht.


    Releases

    - Sind Retail-Release verfügbar, sind alle anderen Variationen untersagt. Ausnahmen: Alle deutschen Retail-Release sind CUT, in diesem Fall sind dubbed UNCUT-Release zulässig.
    - Im Serien-Bereich gilt speziell: Wenn ein Retail vor Abschluss einer laufenden Staffel erscheint, darf diese Staffel noch zu Ende gebracht werden.62
    - Gleiche Releases sind unbedingt zusammenzufassen. Das bedeutet, es ist zwingend erforderlich, vor dem Erstellen eines Themas per Suchfunktion zu überprüfen, ob bereits ein Beitrag mit demselben Release besteht. Ist dies der Fall, ist der bereits vorhandene Beitrag zu verwenden.
    - P2P und Scene Releases dürfen nicht verändert oder gar unter einem iND Tag eingestellt werden.


    Support, Diskussionen und Suche

    - Supportanfragen sind entweder per PN oder im Bereich Talk zu stellen.
    - Diskussionen und Bewertungen sind im Talk Bereich zu führen. Fragen an die Uploader haben ausschließlich via PN zu erfolgen, und sind in den Angeboten untersagt.
    - Anfragen zu Upload-Wünschen sind nur im Bereich Suche Video erlaubt. Antworten dürfen nur auf Angebote von MyBoerse.bz verlinkt werden.


    Verbote

    - Untersagt sind mehrere Formate in einem einzigen Angebotsthread, wie beispielsweise das gleichzeitige Anbieten von DivX/XviD, 720p und 1080p in einem Thread. Pro Format, Release und Auflösung ist ein eigener Thread zu eröffnen.
    - Grundsätzlich ebenso verboten sind Dupes. Uploader haben sich an geeigneter Stelle darüber zu informieren, ob es sich bei einem Release um ein Dupe handelt.
    - Gefakte, nur teilweise lauffähige oder unvollständige Angebote sind untersagt. Dies gilt auch für eigene Publikationen, die augenscheinlich nicht selbst von z.B. einer DVD gerippt wurden. Laufende Serien, bei denen noch nicht alle Folgen verfügbar sind, dürfen erstellt und regelmäßig geupdatet werden.
    - Untersagt sind Angebote, welche nur und ausschließlich in einer anderen Sprache als deutsch oder englisch vorliegen. Ausnahmen sind VORHER mit den Moderatoren zu klären.


    Verstoß gegen die Regeln

    - Angebote oder Beiträge, die gegen die Forenregeln verstoßen, sind über den "Melden"-Button im Beitrag zu melden.
  • Bitte registriere dich zunächst um Beiträge zu verfassen und externe Links aufzurufen.


Englische Tutorials

The Unreal Arsenal: Learn C++ and Unreal Engine

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The Unreal Arsenal: Learn C++ and Unreal Engine
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 23.8 GB | Duration: 44h 59m

Learn Programming and Game Development Fundamentals with C++ and Unreal Engine in this course for complete beginners


What you'll learn
Learn C++ programming fundamentals through simple examples and illustrations
Debugging and problem solving skills
Learn how C++ is used in real-world projects, with examples from the Unreal Engine codebase
Understand how intermediate C++ features, such as object oriented programming, inheritance and templates can be used in combination
Apply your newly acquired C++ skills to game development fundamentals in Unreal Engine


Description
If you're looking for a curriculum to prepare you for a job as a C++ developer, or maybe your ambition is to develop your own indie games - the typical introductory C++ curriculum will not prepare you adequately for industry.

Learning C++ concepts in isolation by writing simple console applications is not enough - you must learn to use intermediate features in combination.

Intermediate topics such as object oriented programming, pointers, inheritance and templates can be intimidating to students, but I use simple examples, summaries and step by step illustrations throughout.

Through Unreal Engine examples, I explain where specific language features are useful in a real world project. This will give you a much deeper understanding of those language features and not just how to use them, but why they are important to learn and remember and where they will be useful.

Following the foundational modules, C++101 and C++102, you will learn to use intermediate C++ features in combination by programming game logic in Unreal Engine.

Whether you have no programming experience, or are already familiar with a programming language and want to learn how to code game logic in Unreal Engine with C++, this course is for you!

Unreal Engine 5 is slated to be released in 2022. Don't wait, start learning C++ and Unreal Engine now. This course will be updated with Unreal Engine 5 content following the first stable release.


Who this course is for:
Complete beginners.
Aspiring C++ Programmers
Aspiring independent game developers.
Developers/Programmers who want to re-skill to game development.
C# or Unity developers who want to broaden their skill set to boost job prospects.

Homepage


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SOLIDWORKS: General Dynamics F-16C Fighting Falcon

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SOLIDWORKS: General Dynamics F-16C Fighting Falcon
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 83 lectures (8h) | Size: 5.55 GB

SOLIDWORKS: Learn to master surface modelling of F-16C

What you'll learn:
You will learn how surface modelling works. A lot of details has been put into the course to make sure the F-16C model meet its expectation.

Requirements
Basic knowledge of Solidworks is required such as knowledge of Planes, extrusions, loft/boundary, mirror, spline, split line etc.
You must have a Solidworks Software to proceed. I'd say 2014 or newer will work.


Description
Offer valid for a limited period. GET IT NOW!

Use coupon code 16-CFALCON to avail a discount

This course offers one of the most easiest approach in designing an F-16C.This course is put very well and made sure it matches the actual F-16C design. Lectures are explained with an easy approach to make sure no one gets confused in its process of making.

A detailed course with step by step following. Each section is recorded in parts so its easy to understand. Take your time and don't rush.

Learning surface modelling can be challenging but I made sure all the steps involved in making are slow and steady. So you can grasp knowledge of what is being done.

Major and minor details have been put so you understand how 3D modeling works. This course is advance version so make sure you know how solid modelling is done. Use of split lines have been used to make the model accurate.

This course is not just for those who are into aerospace field but also for anyone interested in knowing the design process of a F-16C. The course will put an impact on your future career as majority of the engineering firms require 3D modeling skills to be a part of your portfolio.

The course is recorded on a Solidworks 2020. Any questions on this course will be answered so you don't get stuck in between the lectures.

Who this course is for
It can be anyone who wants to know how Surface Modelling is achieved
Someone who knows about Solid Modeling and are looking to invest time learning about Surface modelling which will make them gain knowledge and experience what it takes to design a F-16C using surface modelling
Students who get assigned by universities to design F-16C model but don't have any clue on how its done.

Homepage


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R for Data Science: Your First Step as a Data Scientist

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R for Data Science: Your First Step as a Data Scientist
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 5.38 GB | Duration: 10h 1m

Learn Data Science and Machine Learning (ML) with R Studio and submit your first Kaggle Project


What you'll learn
Developing Linear Regression in R
Developing Logistic Regression in R
Learning how to Evaluate Data Science Models
Learning how to manipulate data with Dplyr
Building a Data Science Project end-to-end
Submit your own predictions into Kaggle


Description
So, you've learned a bit of R Basics and are looking to understand how R can be used for Data Science? And are looking for a course that explains all the theory behind algorithms with coding?

R is on of the de facto languages for a lot of Data Science projects today - either for enterprise-level projects or research, R is a modern and flexible language with a smooth learning curve that enables most professionals to build predictive models in quick fashion.

This course was designed to be your next step into the R programming world! We will delve deeper into the concepts of Linear and Logistic Regression, understand how Tree Based models work, learn how to evaluate predictive models and more. This course contains lectures around the following groups:

Code along lectures where you will see how we can implement the stuff we will learn!

Test your knowledge with questions and practical exercises with different levels of difficulty!

This course was designed to be focused on the practical side of coding in R - other than studying the functions that let us build algorithms automatically we will investigate deeply how models are trained and how they get to the optimum solution to solve our data science projects.

At the end of the course you should be able to use R in a data science context - understanding the choices you have to make when it comes to algorithms and learn how to evaluate those choises. Along the way you will also learn how to manipulate data with Dplyr because most of the times, in a Data Science project, more than half of time is spent on data preparation!

Here are some examples of things you will be able to do after finishing the course:

Solving Regression problems using Linear Regression or Regression Trees.

Solving Classification problems using Logistic Regression or Classification Trees.

Learn how to evaluate algorithms using different metrics.

Understanding the concept of bias and variance.

Using Random Forests and understanding the reasoning behind them.

Manipulating data using Dplyr.

Build your own Kaggle Data Science project!

Join thousands of professionals and students in this R journey and discover the amazing power of this statistical open-source language.

Homepage


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Master Data Mining in Data Science & Machine Learning

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Master Data Mining in Data Science & Machine Learning
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 5.02 GB | Duration: 5h 16m

Learn about Data Mining Standard Processes, Survival Analysis, Clustering Analysis, Various algorithms and much more.


What you'll learn
Get started with Data Mining.
Learn about different Data Mining Standard Processes.
Learn the concept of Survival Analysis.
Learn about the concept of Cox Hazards Regression.
Learn about Clustering Analysis.
Learn about the Dimensionality reduction.
Learn about the concept of Association Rule Learning.
Learn about the Predictive Modelling.


Description
If you are looking to build strong foundations and understand advanced Data Mining techniques using Industry-standard Machine Learning models and algorithms then this is the perfect course is for you. We have covered everything you need about Data Mining and its processes, Machine Learning Models, and how to implement them in the real world.

Data mining means mining the data. It is defined as finding hidden insights(information) from the database and extract patterns from the data.

Data mining is an automated process that consists of searching large datasets for patterns humans might not spot.

In this course, you will get advanced knowledge on Data Mining.

This course begins by providing you the complete knowledge about the introduction of Data Mining.

This course is a complete package for everyone wanting to pursue a career in data mining.

In this course, you will cover the following topics:-

Data Mining Standard Processes.

KDD- Knowledge Discovery in Databases.

Introduction to SEMMA.

Introduction to CRISP- DM.

Introduction to TDSP- Team Data Science Process.

Survival Analysis.

Introduction to Survival Analysis.

Kaplan Meyer Estimator introduction.

Log Rank Test introduction.

Cox Hazards Regression.

Clustering Analysis.

KMeans clustering.

Gaussian Mixture Model.

Dimensionality reduction.

Introduction to Data Reduction.

PCA - Principal Component Analysis.

T-SNE.

LDA - Linear Discriminant Analysis.

Association Rule Learning.

Transaction List.

Encoding Transactions.

Aprior Algorithm and Visualization.

Tree based models.

Decision Trees.

Attribute selection method- Gini Index and Entropy.

Concept of Bagging.

Random Forest.

Boosting Algorithm.

Introduction to Adaboost and Gradient Boosting.

Introduction to XGBoost.

Model Explanationability.

Introduction to SHAP.

Local and Global Interpretability.

Introduction to LIME.

This course is a complete package.

Lots and lots of quizzes and exercises are waiting for you.

You will also have access to all the resources used in this course.

Enroll now and become an expert in Data Mining.


Who this course is for:
People who are quite beginners.
Anyone who is curious to learn Data Mining.
Anyone who is interested in learning Data Mining algorithms.
Data Scientists.
Machine learning experts.

Homepage


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Job ready Flutter complete course with Firebase and Dart (Updated 08/2021)

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Job ready Flutter complete course with Firebase and Dart (Updated 08/2021)
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 84 lectures (16h 14m) | Size: 7.5 GB

Master the art of building cross platform application using Flutter and Firebase | Android & IOS & Web

What you'll learn:
Flutter
Firebase
Dart
Mobile App Development
Handling Rest API
Firebase Authentication
Cloud Firestore
Firebase Storage

Requirements
Eagerness to learn
Patience to practice


Description
If you follow the tech world then you might have heard about Flutter and its growing popularity day by day. There are lot of jobs around this new framework but the supply of skilled developers are less. So its high time that we upgrade our skill and grab those opportunities as soon as possible. You will learn the basics till advance concepts in this course which is enough to get you started applying for your dream job.

Flutter is free, and open-source Software Development Kit used to develop high performing cross platform applications with a single code base. The real perk of choosing Flutter with Firebase as backend is that it offers you a complete package of application management. Right from cloud storage to real-time database, hosting to authentication services, Firebase will provide everything at one place and seamlessly meet the needs of the startups.

What you will learn in this Course ?

Introduction to Dart language

· Variables and data types

· Conditional Statements

· Understanding Loops

· Declaring functions

· Exception Handling

· Classes and objects

· Null Safety

Flutter In dept Concepts

· What are widgets

· Stateless vs Stateful Widgets

· Exploring various Widgets

· What is a State

· How to manage State

· Navigation Concepts

· Handling User Input

· Asynchronous Programming

· Handling REST API

· Types of HTTP Requests

· What are Models

Firebase Integration

· Setup Firebase Project

· Authenticate using Email Password

· Google Sign In

· Firestore Database

· CRUD operations

· Firebase Storage

· Compress Image

Who this course is for
Absolute Beginner
Flutter Enthusiast
Student
Working Professional

Homepage


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Introduction to Animation in Maya 2022

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Introduction to Animation in Maya 2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 8.39 GB | Duration: 10h 9m

Are you a beginner who wants to learn the tools and techniques for animation inside of Maya? Would you like to learn animation with easy to follow exercises and projects? If that is the case then I welcome you to Introduction to Animation in Maya 2022 class.

Class Goal: At the end of this class you will be able to animate scenes using universal techniques and concepts. You will understand how to apply the different principles of animation and how to utilize the tools inside of Maya to create great scenes.

What I Will Learn: In this class we will be covering:

Animation tools in Maya
Principles of Animation
IK and FK systems
Body Mechanics
MASH
Rendering
I will start the class by teaching you the basics of animation in Maya, we will explore some of the most classical exercises like the bouncing Ball and the Pendulum Swing to understand some core concepts. We will then jump into more advancer animations like a Walk Cycle, Body Mechanics and even a combat animation. I have designer this class for students who wants to learn the basics of the animation world inside of Maya.

Basic knowledge of the Maya interface is recommended. We will be using Maya 2022 and Arnold so make sure to have both elements installed.

Join me and you will be animating inside of Maya in no time.

Homepage


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Half Guard Passing and Dynamic Pins: BJJ Fundamentals - Go Further Faster

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Half Guard Passing and Dynamic Pins: BJJ Fundamentals - Go Further Faster
John Danaher | Duration: 13h 46m | Video: H264 1280x720 | Audio: AAC 44,1 kHz 2ch | 14,4 GB | Language: English

Pass the half guard with John Danaher's focused "463 Method" of attack (including his favorite techniques and positions to pass with)

• Hold the tightest possible control and transition from pin to pin with maximum efficiency, using these techniques and concepts
• John Danaher is the Brazilian Jiu-Jitsu coach of champion athletes like Gordon Ryan, Garry Tonon, and Georges St. Pierre
• Study the newest installment of John Danaher's Go Further, Faster series, made to help Brazilian Jiu-Jitsu students of all ages and skill levels improve faster than ever
• Know more. Win more.

Homepage


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30 Days Bootcamp: 30 Data Science &Machine Learning Projects

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30 Days Bootcamp: 30 Data Science &Machine Learning Projects
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 175 lectures (21h 12m) | Size: 9.84 GB

Learn To Build & Deploy Machine Learning,Data Science,DL,NLP Web Application Projects (Python,Flask,Django Heruko Cloud)

What you'll learn:
Students Will Understand What Is Machine Learning
Why They Need To Learn Machine Learning
Deployment Of Data Science Applications
Build Data Science Models

Requirements
Knowledge Of Data Science


Description
Data science is the field of applying advanced analytics techniques and scientific principles to extract valuable information from data for business decision-making, strategic planning and other uses. It's increasingly critical to businesses: The insights that data science generates help organizations increase operational efficiency, identify new business opportunities and improve marketing and sales programs, among other benefits. Ultimately, they can lead to competitive advantages over business rivals.

Data science incorporates various disciplines -- for example, data engineering, data preparation, data mining, predictive analytics, machine learning and data visualization, as well as statistics, mathematics and software programming. It's primarily done by skilled data scientists, although lower-level data analysts may also be involved. In addition, many organizations now rely partly on citizen data scientists, a group that can include business intelligence (BI) professionals, business analysts, data-savvy business users, data engineers and other workers who don't have a formal data science background.

This comprehensive guide to data science further explains what it is, why it's important to organizations, how it works, the business benefits it provides and the challenges it poses. You'll also find an overview of data science applications, tools and techniques, plus information on what data scientists do and the skills they need. Throughout the guide, there are hyperlinks to related Tech Target articles that delve more deeply into the topics covered here and offer insight and expert advice on data science initiatives.

Why is data science important?

Data science plays an important role in virtually all aspects of business operations and strategies. For example, it provides information about customers that helps companies create stronger marketing campaigns and targeted advertising to increase product sales. It aids in managing financial risks, detecting fraudulent transactions and preventing equipment breakdowns in manufacturing plants and other industrial settings. It helps block cyber attacks and other security threats in IT systems.

From an operational standpoint, data science initiatives can optimize management of supply chains, product inventories, distribution networks and customer service. On a more fundamental level, they point the way to increased efficiency and reduced costs. Data science also enables companies to create business plans and strategies that are based on informed analysis of customer behavior, market trends and competition. Without it, businesses may miss opportunities and make flawed decisions.

Data science is also vital in areas beyond regular business operations. In healthcare, its uses include diagnosis of medical conditions, image analysis, treatment planning and medical research. Academic institutions use data science to monitor student performance and improve their marketing to prospective students. Sports teams analyze player performance and plan game strategies via data science. Government agencies and public policy organizations are also big users.

Who this course is for
Beginners In Data Science

Homepage


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Main Online Course - FestX

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FestX - Main Online Course | 4.2 GB​
A Forex Course from the Founder himself, Clint Fester. FestX is a Forex Educational Platform for learning how to trade in the Forex Market, which was put together by myself after gaining extensive knowledge doing a local and two major International courses that completely changed my Trading Career.

This is the course that you will start off with if you have ZERO forex knowledge or you are an experienced trader looking to enhance your skills.

Homepage:

Screenshots
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Link Download
​
Extract files with WinRar 5 or Latest !
 
Linkedin Learning VMware NSX-T 3 0 Essential Training 06 Security-XQZT

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Linkedin Learning VMware NSX-T 3 0 Essential Training 06 Security-XQZT | MKV | 248.63 MiB

450 kb/s 1280x720 | AAC 160 kb/s 2 CH eng



NFO:
File List:

File: 01.01-security_in_a_vsphere_environment.mkv
Size: 5016419 bytes (4.78 MiB), duration: 00:01:29, avg.bitrate: 451 kb/s
Audio: aac, 48000 Hz, stereo (eng)
Video: h264, yuv420p, 1280x720, 30.00 fps(r) (eng)
Subtitles: eng






Download ( Size: 248.63 MiB ):
Filehosts: Nitroflare, Rapidgator



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Linkedin Learning Exam Prep Microsoft Identity and Access Administrator SC-300-XQZT

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Linkedin Learning Exam Prep Microsoft Identity and Access Administrator SC-300-XQZT | MKV | 272.87 MiB

741 kb/s 1280x720 | AAC 160 kb/s 2 CH eng



NFO:
File List:

File: 01.01-about_the_sc-300_exam.mkv
Size: 4655843 bytes (4.44 MiB), duration: 00:00:50, avg.bitrate: 745 kb/s
Audio: aac, 48000 Hz, stereo (eng)
Video: h264, yuv420p, 1280x720, 30.00 fps(r) (eng)
Subtitles: eng






Download ( Size: 272.87 MiB ):
Filehosts: Nitroflare, Rapidgator



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MERN Stack Bootcamp - Zero to Hero in One Course

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MERN Stack Bootcamp - Zero to Hero in One Course
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 11.7 GB | Duration: 24h 29m

Master JavaScript React Node MongoDB NextJs SocketIo and Become a Professional MERN Stack Developer from Scratch


What you'll learn
Understand MERN (MongoDB Express React Node) Stack
Become a Professional Full Stack / MERN Stack Web Developer
Understand Core JavaScript React and Node
Understand Modern JavaScript from Scratch
Learn Node JS API Development from Scratch
Learn Frontend Web Development with React
Understand JavaScript in the Browser Environment
Understand JavaScript in the Node JS Environment
Learn Socket io to add realtime features
How Node JS Event Loop works
Synchronous vs Asynchronous programming
Using Core Node JS Modules
Using your own Modules
Using NPM Modules
Learn Mongo DB
Learn to implement CRUD (create, read, update, delete) on users/posts
Implement Authentication using JWT
Implement Social Login
Password Forgot Workflow
Admin Role and Access
User Profile
Image Upload
User Follow Unfollow
Post Like Unlike
Comments
Deploy MERN Stack App to Digital Ocean Cloud Server
Pagination
Search
Realtime


Description
Do you want to become a MERN stack developer? MERN stack stands for MongoDB Express React and Node.

These are the most in demand and most used tools in the current market to build any type of web apps. As a MERN stack developer, you will learn everything about backend frontend designing developing planning choosing the right infrastructure deploying and maintaining the project even after it's deployed to the real world by keep updating and adding more features... even improving the search engine optimization to build a successful project for the real world. I forgot to mention realtime.. yes you will learnt to use socket-io to implement realtime features too.

To be honest.. you will gain all the knowledge to become a Tech lead, not just a good developer, who can manage a team of developers and give them different tasks to complete the project.

The reason I am saying this is because you will understand the project from the ground up. You will plan the project, code from scratch, face the challenges and make necessary changes along the way so that it is performing great, scaling indefinitely and easy to maintain and grow in the long run.

Really, this bootcamp is all you need to become the very best in web development using MERN stack. This can truly become a career changing course that can take your skill sets to a whole new level.

It took me many years to gain all this knowledge from hundreds of books, videos and thousands of hours coding and thinking and exploring the best ways to build the best MERN stack apps.

Now here I am, putting all that knowledge in one big course so that you don't have to spend years trying to learn the very best of web development. It's all here, packed in one course for you.

Ready to embark on this exceptional journey of becoming a professional MERN stack developer all the way from scratch? Click that Enroll button and join me in this bootcamp. See you inside the course.

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