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Igor Ledochowski - Mind Bending Language Mentoring
WEBRip | English | MP4 | 640 x 360 | AVC ~923 kbps | 23.976 fps
AAC 112 Kbps 44.1 KHz | 2 channels | 27:55:20 | 12.59 GB
Genre: eLearning Video / Self Improvement, Hypnosis
This change of paradigm allows the subject's unconscious mind the "space" and processing time to find its own resolutions. And, like I said before, it takes a HUGE amount of pressure off you the hypnotist. Anyway: all of the above can be seen on the videos of the $5,000 per-head Dominican Republic MIND BENDING LANGUAGE MENTORING PROGRAM.​

There are 22 Modules in the program and the titles of the videos are as follows:
Module​ 1: Mind Bending Language & Hypnotherapy
Module​ 2: Turning Unconscious Moments Into 'MBL' Magic Moments Demonstration
Module​ 3: Finding The Real Problem Using MBL Questions Demonstration
Module​ 4: Probing Questions Demo, Demo Mentoring Debrief & How To Have Mind Bending Language Flow Naturally
Module​ 5: Concrete Vs Abstract Thoughts & MBL Questions Demo
Module​ 6: How To Elicit Similes & Metaphors Demo, Using Symbolic Language For Change Demo & Demo Mentoring Debrief
Module​ 7: Dealing With "Problem Clients" Demo & How To Positively Hijack Their Resistance
Module​ 8: Basic Pain Control Demo, Advanced Pain Control Demo & Demo Mentoring Debrief
Module​ 9: The Story Of Ambrosia & How To Use MBL Intelligently
Module​ 10: Pre-framing, Reframing and Out-framing Using MBL & Personal Trance Themes
Module​ 11: Negative, Neutral And Positive Unconscious Moments & Accessing Resources To Create Transformations
Module​ 12: Student Freestyle Sessions & "Increasing Your Discipline" Demo
Module​ 13: Unconscious Moments Demo Mentoring Debrief & In-depth MBL Questions and Answers
Module​ 14: Student Demo - "Not Socially Fitting In" With Real-Time Coaching From Igor
Module​ 15: Demo Mentoring Debrief & Troubleshooting Problems
Module​ 16: Using Hypnosis & MBL For Medical and Health Issues
Module​ 17: "No Holds Barred Hypnotherapy" & Student Demo "Fear Of Starting A Hypnosis Practice" With Mentoring Debrief
Module​ 18: How To Extend Unconscious Moments, Hypnotic Therapy Loops & Student Demo: "Accessing The Unconscious" With Mentoring Debrief
Module​ 19: Student Demo On A Real Client With Igor Real-Time Coaching & Mentoring Debrief
Module​ 20: Using The Power Of The Present Moment & How To Do Hypnotherapy Over The Telephone
Module​ 21: Student Demo With A 2nd Real Client
Module​ 22: Demo Mentoring Debrief, Generative Vs Remedial Change & Hypnotic Benediction

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2D Animation: Tips and Tricks pdated 10/30/2018
.MP4, AVC, 1000 kbps, 1280x720 | English, AAC, 128 kbps, 2 Ch | 9h 24m | 1.65 GB
Instructor: Dermot O' Connor​

One way to learn animation is an all-in-one course, the kind you can find here in our library. The other path is on-the-job training, and involves picking up an arsenal of tips and tricks as you work. Both methods have their benefits, though most students get an all-in-one style education. This course will give you that "on the job" experience in weekly doses. Every Tuesday, author Dermot O' Connor reveals a tip or trick that animation professionals use to save time and create more compelling characters. Learn to use delays, overshoots, and leading gestures to create looser, more realistic movement; draw different mouth shapes for male and female characters; create different styles of walks such as staggers; and more. Put this course in your playlist and each week a new video will appear in your queue.

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Premiere Pro CC 2019 Essential Training: The Basics
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 7.5 Hours | 3.58 GB
Genre: eLearning | Language: English​

Get up and running with Adobe Premiere Pro CC 2019. This course helps beginners unlock the potential of this powerful video-editing program. Instructor and filmmaker Ashley Kennedy steps through all the fundamentals: editing video and audio, correcting color, adding titles and effects, and more. Her project-based approach lends context to each of the tools, allowing you to experience both the technical and creative sides of the editing process. She begins with a tour of the Premiere Pro interface, and then goes through the entire post-production workflow-including media import and organization, editing and trimming, audio adjustment, applying and modifying effects, color correction, titles, and output. By the end of the course, you should be able to hit the ground running and create your own professional video projects with Premiere Pro.

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C# Programming Exercises for Beginners
.MP4 | Video: 1280x720, 30 fps(r) | Audio: AAC, 48000 Hz, 2ch | 2.27 GB
Duration: 12.5 hours | Genre: eLearning | Language: English​

Learn C# by doing programming projects for beginners

What you'll learn

Practice and understand loops, arrays, structures, OOP and more
Code beginner and intermediate projects using C#
Become an intermediate programmer by understanding the how and why of each line in your program
Think like a programmer
Uderstand project requirements and choose the right approach to each solution

Requirements

Students should have installed Visual Studio in order to follow along.
Students should be actively learning C#
Students should be familiar with the programming concepts presented in the exercises

Description

C# is an excellent programming language. It's the main language in the .Net family of languages, and as such, it allows you to program some truly amazing solutions. So, congratulations on choosing to learn this amazing language.

As it is common among beginner programmers, the enthusiasm to learn often is not enough to make the leap from beginner to intermediate.

The bad news is: code fear is real, and it hinders, or even stops your progress. The good news is: you can learn to eliminate it! And all it takes is a little practice and determination. And that's where this course will help you greatly!

The course goes over variety of C# programming exercises and projects. I show you how to put the theory you learned into practice by showing you how to solve each exercise and walking you through all the Why's and How's.

You and I will go on a journey to program simple solutions using basic programming techniques, all the way to more complex ones, such as multi-dimensional arrays, structure of arrays, and OOP solutions.

In the process, you will learn a lot about C# language. You will learn how to translate the project requirements into a working code. You will learn to use many different programming concepts, such as Conditional Statements, Loops, Arrays, Multi-dimensional arrays, OOP... and pick the right one for your solution. But above all, you will learn to think like a programmer!

This course is all about practice. Therefore, to benefit from this course, you need to be an active student. It doesn't matter if you are self-taught or attend a programming course. What matters is the time and effort you are willing to put into learning and practicing your skills.

There are no lectures in this course. However, I do my best to explain what I am trying to accomplish with each line of code, and touch on common pitfalls, too.

This is a course for beginner C# .net programmers who need to put the concepts and theory they learned into practice and for people who prefer to learn by doing.

If that's you, then let's start coding!

Who is the target audience?

The course is best suited for students taking C# classes, or self-taught students.
Beginners who are currently learning how to program in C# and need a guided practice exercises.
Students who need to put the concepts and theory they learned into practice.
Beginner C# .Net programmers seeking to cement the knowledge by doing short programming projects that are challenging, yet not out of his/her skill set exercises.
Students who take C# classes and struggle with their homework, or students who need a little help or a reference will love this course.

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Building Natural Language Applications with TensorFlow
.MP4, AVC, 280 kbps, 1920x1080 | English, AAC, 160 kbps, 2 Ch | 2h 3m | 502 MB
Instructor: Kaiser Hamid Rabbi​

Build and interact with your intelligent chatbot with NLP!

Do you want your machine to analyze, understand, and generate human speech? Do you want to build chatbots? NLP is the next step in bridging many concerns that users, businesses, and developers experience with customer service.

Chatbots are making it easier and replacing humans everywhere in social media, websites, stores, and even business-to-business conversations. With a less talk and more action approach, this course will lead you through various implementations of NLP techniques by implementing end-to-end deep learning models and creating an intelligent chatbot on our own.

Get your hands on this course to learn the most fascinating technology in the field of AI and leverage the power of TensorFlow right away!

The codes of this course can be found on GitHub:

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Style and Approach

This hands-on course covers all the important aspects of Natural Language Processing and Deep Learning models with TensorFlow. Throughout the course, you'll build an intelligent chatbot with step-by-step instructions to implement them following the intuition topics.

What You Will Learn

Get grips on various NLP techniques while building an intelligent Chatbot using TensorFlow to help you transform online businesses
A solid understanding of natural language processing intuitions and its functioning
Optimize performance and efficiency by implementing end to end deep learning models
Working on sequence-to-sequence models (used in translation) that reads one sequence and produces another
Using bag-of-words model as a way of representing textual data
Build a recurrent neural network for language modeling

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Architecting Big Data Solutions Using Google Dataproc
.MP4, AVC, 240 kbps, 1280x720 | English, AAC, 64 kbps, 2 Ch | 2h 17m | 276 MB
Instructor: Janani Ravi​

Dataproc is Google's managed Hadoop offering on the cloud. This course teaches you how the separation of storage and compute allows you to utilize clusters more efficiently purely for processing data and not for storage.

When organizations plan their move to the Google Cloud Platform, Dataproc offers the same features but with additional powerful paradigms such as separation of compute and storage. Dataproc allows you to lift-and-shift your Hadoop processing jobs to the cloud and store your data separately on Cloud Storage buckets, thus effectively eliminating the requirement to keep your clusters always running. In this course, Architecting Big Data Solutions Using Google Dataproc, you'll learn to work with managed Hadoop on the Google Cloud and the best practices to follow for migrating your on-premise jobs to Dataproc clusters. First, you'll delve into creating a Dataproc cluster and configuring firewall rules to enable you to access the cluster manager UI from your local machine. Next, you'll discover how to use the Spark distributed analytics engine on your Dataproc cluster. Then, you'll explore how to write code in order to integrate your Spark jobs with BigQuery and Cloud Storage buckets using connectors. Finally, you'll learn how to use your Dataproc cluster to perform extract, transform, and load operations using Pig as a scripting language and work with Hive tables. By the end of this course, you'll have the necessary knowledge to work with Google's managed Hadoop offering and have a sound idea of how to migrate jobs and data on your on-premise Hadoop cluster to the Google Cloud.

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Learn SQL using PostgreSQL Server - Beginner to Expert
.MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .VTT | Duration: 9.5 hours | Size: 3.2 GB
Practical Hands-on Real World SQL Skills​

What you'll learn

Create Database
Create Tables
Extract Data from databases
Update existing data in database
Remove duplicate data
Extract data using sub queries
Create stored procedures
Group data
Sort data
Summarize data with aggregate functions
Analyse data with Analytic functions
Filter data from query
Query data using various operators
Create Triggers
Create views

Requirements

Basic working knowledge of Computer
Basic internet navigation skills
Basic database concepts will be useful but not mandatory

Description

SQL -Structured Query Language is an internationally recognised language used to communicate and manipulate various database systems.

Data is everywhere and growing at a rapid rate. Most Software application we interact with daily deals with stored data . From our interaction with our banks to social media applications like Facebook and Instagram..

Due to the relevance and dependency on data , professionals that are skilled in SQL are always in high demand to help interact with various databases to help business intelligence and other sectors that relies on data.

This course will teach you from absolute beginner to expert so you can be confident with enough skills to build simple to complex queries to communicate and interact with databases.

We will be using PostgreSQL Server to host our database.

PostgreSQL Server is a relational database management system -RDBMS used by lots of companies all over the world

What You Will Learn include:

How to extract data from multiple Database Tables using Joins

How to insert new data into database with SQL

How to update existing data inside a database

How to delete data from a database

How to filter data

How to sort data

How to create and query views

How to build a stored procedure

How to use Aggregate functions to summarize returned data

How to group data

Creating views

Creating Triggers

Creating sub-queries

Data Analysis with Analytic functions

SQL can be used for Data Analysis to transform data already present in the database to valuable useful information that help companies and organisations make key business and management decisions.

Everywhere data is being collected, every transaction, every web page visit,every payment-all these and much, much more are filling relational databases with raw data that can be analysed to provide useful information.

There is a demand for people who can use data to perform reporting and analysis thus helping businesses and organizations make important and critical decisions.

Who is the target audience?

Beginners SQL Developer
Beginners to SQL
Beginners to PostgreSQL
Beginner Database Administrators -DBA

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Hands-On TensorFlow for Smart Application Development
.MP4, AVC, 440 kbps, 1920x1080 | English, AAC, 106 kbps, 2 Ch | 1h 17m | 246 MB
Instructor: Saikat Basak​

Use TensorFlow to build mobile apps and add features to make your apps smarter

TensorFlow is one of the most popular deep learning frameworks available and can be used for solving real-world applications such as analyzing images, generating data, natural language processing, intelligent chatbots, robotics, and more. This course will allow you to add such features without going deeply into machine learning or deep learning.

This course will show you how to develop smart applications the easy way using the power of TensorFlow and to add intelligent features to make your applications smarter without delving into deep learning. You will begin by setting up the environment required to get started quickly followed by building and deploying your first machine model. Next, you will use TensorFlow Lite, which is well optimized for on-device machine learning. As we proceed further, you'll get hands-on practice in building applications on different platforms such as iOS and Android. Lastly, you will get some crucial tips on how to make your existing applications smarter.

By the end of the course, you'll not only be comfortable with using TensorFlow for building applications but will also be able to integrate the power of artificial intelligence in your mobile apps.

Style and Approach

Full of hands-on instructions, interesting and illustrative examples, and clear explanations. Easy to understand with practical examples and minimal theory.

What You Will Learn

Easily use machine learning in your applications
Learn the art of building models using pre-built models and scripts
Deploy machine learning models to any general application
Use artificial intelligence in your models
Build your first smart iOS/Android application
Add intelligent features in your existing applications

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Drawing Vector Graphics Laboratory pdated 10/31/2018
.MP4, AVC, 1000 kbps, 1280x720 | English, AAC, 128 kbps, 2 Ch | 33h 28m | 14.11 GB
Instructor: Von Glitschka​

Sometimes you need to experiment to grow as an artist. What better place to try out new design ideas than the Drawing Vector Graphics Laboratory? Every Wednesday, Von Glitschka introduces a new method, tool, or resource to stretch your creative muscle and explore a new artistic style. Each lesson pulls back the curtain on Von's design process-the good, the bad, and the ugly-to give beginners the self-confidence they need to start drawing and provide experts an inside look at a fellow professional's workflow.

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Angular Crash Course
.MP4, AVC, 370 kbps, 1280x720 | English, AAC, 96 kbps, 2 Ch | 58 mins | 152 MB
Instructor: Joe Eames​

Angular is an amazing and fully-featured framework, but it has so many features. In this course we cut right to the core pieces. In less than an hour, you'll learn everything you need to build your own Angular applications.

Angular is one of the most popular front end frameworks out there. Learning to use it is great for your career, but you may not need an in-depth approach. In this course, Angular Crash Course, in less than 60 minutes, you will learn all of the foundational pieces of Angular. First, you will learn the basic building blocks: components, modules, and services. Then, you will see how to handle forms, routing, and templates. Finally, you will learn how to build your application to put it into production. When you are finished with this course, you will feel confident in your ability to develop applications in Angular.

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Hands-On Big Data Processing with Hadoop 3
.MP4, AVC, 200 kbps, 1920x1080 | English, AAC, 160 kbps, 2 Ch | 4h 36m | 966 MB
Instructor: Sudhanshu Saxen​

Perform real-time data analytics, stream and batch processing on your application using Hadoop

Hadoop which is one of the best open-source software frameworks for distributed computing. It provides you with means to ramp up your career and skills. You will start out by learning the basics of Hadoop, including its file system HDFS, and its cluster management resource YARN and its many libraries and programming tools. This course will get you started with the Hadoop major components which Industry demands. You will be able to see how the structure, unstructured and semi structured data can be processed with Hadoop.

This course will majorly focus on the problem faced in Big Data and the solution offered by respective Hadoop component. You will learn to use different components and tools such as Mapreduce to process raw data and will learn how tools such as Hive and Pig aids in this process. You will then move on to Data Analysis techniques with Hadoop using tools such as Hive and will learn to apply them in a real world Big Data Application. This course will teach you to perform real-time data analytics, stream and batch processing on your application. Finally, this course will also teach you how to extend your analytics solutions to the cloud.

Style and Approach

This hands-on course covers all the important aspects of Big Data Processing with Hadoop 3. With a great balance between theoretical and practical aspects of the course, you will get a complete understanding of the subject

What You Will Learn

The introduction to practical of Hadoop ecosystem and how to understand each component
Understanding of the Data storage and Data processing in Hadoop by UNix commands
Manage the HDFS storage and move the data
Import the data and deal with Structured data and query it through Hive
import the data from non RDBMs source and store in HDFS
Deal with semi structured data and Unstructured data through PIG

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Agile Software Development: Pair and Mob Programming
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1.5 Hours | 423 MB
Genre: eLearning | Language: English​

When it comes to unraveling a particularly tricky coding problem, sometimes two (or more) minds are better than one. In this course, learn all about the mechanics, details, and value of collaborative coding approaches-namely, pair programming and mob programming-that can help you solve problems at a faster clip. Learn practical techniques that can set you up for success when you try out pair or mob programming with your own teams. Plus, learn about variations to these approaches, including remote pair programming and working with nonprogrammers. Throughout the course, instructors Lynn Langit and Chiu-Ki Chan share scenarios that showcase how these collaborative techniques work in real-world situations.

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