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RegRun Reanimator 14.20.2022.928


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File Size : 34.2 Mb​

RegRun Reanimator is a handy tool designed to help you remove remote malicious programs from your computer.You basically use this application to scan your PC, then send the generated log to another person who has the skills to identify the malicious components and remove them. RegRun Reanimator is an application designed to add an extra layer of security to your computer, providing advanced tools to remove multiple malware files.

You may find the interface of the so-called RegRun Assistant a bit overwhelming at the first run, but it's only a matter of time until you get used to it. All features are nicely organized in tabs listed at the bottom of the main window, while the center of the screen provides access to the scanning features. Every single button has detailed explanations, so you will know for sure what you're about to do even before clicking on it.
The virus scan tool does exactly what its name suggests, searching the computer for malicious files and removing them either on the spot or after a computer reboot.
You also have the option to scan another target, such as a network computer, by providing the path to the Windows operating system.
In case you're not an experienced user and you don't know how to deal with a suspicious file, just go over to the Send Report tab. This way, you can send a detailed system report to the support center and thus ask a specialist to lend you a hand.
Fortunately, there's also a so-called "Clean after Virus" feature that allows you to fix some of the damage caused by viruses, including the highly popular Task Manager or Registry Editor lock. In addition, there's an option to repair the 'access denied' error on some of the files that got in touch with the virus.
RegRun Reanimator works quickly and easily without hampering computer performance, and a scan took less than a minute during our computer, while the cleanup process depends on the user and how much one needs to analyze the suspicious files.
Overall, RegRun Reanimator is an excellent tool to get rid of a bunch of viruses. It's really worth the time if you got into trouble, so give it a try to see what it's up to.

Homepage:
Код:
http://www.greatissoftware.com

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Screen Timelapse 1.3 macOS


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File size: 11.08 MB

Screen Timelapse saves screenshots of what you're working on and makes them searchable.​

Use it to
• Share screenshots and timelapses with your co-workers.
• Keep a permanent record of what you're working on.

Supported Operation System
• macOS 12.1 or later
• Apple Silicon or Intel Core processor

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Sonalksis All Plugs Bundle 3.2.0


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File size: 37 MB​

Sonalksis Plug-ins are one of the industry's 'best kept secrets'. Music producers and engineers the world over use Sonalksis plug-ins in all stages of the production chain, from tracking and mixing, through to mastering. Mastering facilities push numerous hits through the Sonalksis Mastering plug-ins, and post houses use our tools on box-office movies. Our plug-ins can even be seen (and heard) live on stages around the globe, and on live broadcasts over the airwaves from various broadcasters.

Essentials Plug-ins
- SV-315Mk2 Compressor
- SV-517Mk2 Equaliser
- SV-719 Analogue Gate
Multi-band Dynamics Plug-ins
- CQ1 Multiband Compander
- DQ1 Dynamic Equaliser
Creative Elements Plug-ins
- Creative Filter
- Digital Grimebox
- Über Compressor
Mastering Suite
- MultiLimit
- MaxLimit
- StereoTools
- Ultimate-D
Whats New
Updates: official site does not provide any info about changes in this version.

Homepage:
Код:
https://www.sonalksis.com/plug-ins.html

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SwordSoft Screenink 1.2.3.570


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File Size: 8.3 MB​

SwordSoft Screenink allows you to easily capture and annotate anything on the screen including full-screen, rectangle and freeform shape. It features a powerful capture tool, whiteboard, screen color picker, screen magnifier and etc. You can use all these tools freely. SwordSoft Screenink save files in BMP, JPG, JPEG and PNG formats.

Features
» Annotate anything on the screen.
» Annotate anything overlap the screen (live desktop).
» Support undo-redo.
» Mutli-pages support.
» Import image files then annotate.
» Save files in BMP, JPG, JPEG and PNG formats.
» More tools: screen cature (rectangle), screen cature (freeform shape), screen color picker, screen cature (rectangle).etc.
What's New
official site does not provide any info about changes in this version.

Homepage:
Код:
http://www.swordsoft.idv.tw/screenink/index.htm

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VNC Connect Enterprise 6.11.0.47988


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File Size: 20.5 MB​

VNC Connect, the industry's most flexible and secure remote access software.VNC Connect is the latest version (6+) of our cross-platform remote access software for personal and commercial use. It utilizes VNC technology to connect you to a remote computer anywhere in the world, watch its screen in real-time, and take control. Our founders are the original inventors of VNC, and twenty five years' experience has gone into our award-winning software.

Depending upon the subscription you choose, you can add device access, instant support, or both. These capabilities represent different ways of connecting to remote computers, to meet different needs, though once connected you get the same intuitive and responsive screen sharing experience.
VNC Connect is designed to replace multiple products or modules from other providers with one solution that's easy to integrate, license, manage and secure. This means it's simpler to roll out to your entire organization, extending the benefits of remote access beyond the IT team.
Saving you time, money and much more
Reduce cost
Decrease support call repeat rates, call handling time and on-site travel costs
Save time
Reduce the need for specialized training and documentation for remote support
Improve quality
Provide engaging, real-time service that improves employee and customer satisfaction
Mitigate risk
Anticipate and prevent system failures and the risk associated with on-site service
Increase uptime
Avoid downtime with faster problem identification and resolution
Meet goals
Support business and compliance objectives with audit and security functionality

Homepage:
Код:
https://www.realvnc.com

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Waldorf PPG Wave 3 v1.3.1


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File size: 52 MB​

The PPG Wave 3.V is the reincarnation of the legendary PPG Wave, one of the most popular high end synthesizers of the 80s, originally developed by Wolfgang Palm.

While back then it was your choice to spent your money either for a vehicle or the PPG, -- now everyone can enjoy its breathtaking sonic character in their VST or AudioUnit host. During the development of the PPG Wave 3.V we received extensive consultation by Wolfgang Palm to ensure that the PPG Wave 3.V becomes a worthy successor of this adorable jewel of the art of German engineering.
Unleash the massive sound potential with the charm of the "good old digital days" with this unique instrument, and bring back the pure joy and individuality of 80s synthesis with the PPG Wave 3.V!!
Features
General
Up to 256 voices per instance (depending on available CPU power)
8 part Multimode
8 Stereo Outputs
Host automation of most parameters
MIDI Controller automation of most parameters
More than 100 new Wavetables created by Wolfgang Palm
Original Waveterm B Factory Sample Library
Original PPG Wave Factory Sounds
Per Voice
2 Wavetable Oscillators
Sample Playback with 8 bit, 12 bit or up to 32 bit
Authentic Aliasing Emulation of the PPG Wave 2.2/2.3/2.V or no aliasing
12dB / 24 dB Low Pass Filter
Authentic Filter Emulation of the PPG Wave 2.2/2.3
Overdrive behind Filter
1 LFO
3 Envelopes
Authentic Emulation of the modulation graininess (switchable with True PPG)
Per Part (up to 8 parts available)
Poly, Dual, Quad and Mono (8 voices) mode with 8 different semitone offsets to create chords or melodic lines
Arpeggiator with Up, Down, Alternate and Cascade (PPG special) mode
True PPG Mode switchable between PPG Wave 2.2, Wave 2.3 and Wave 2.V
4-Band EQ
Overdrive with various types
Phaser with up to 12 stages
Chorus with up to 6 stages
Flanger
Stereo Delay
Reverb
Other Features
Sample loading via drag&drop or load file dialog
Multisample playback by using the 8 part Multimode
8 adjustable Cutoff / Resonance deviations to simulate analog inexactness
Finer adjustments of several values in Fine Modulatione mode
Everything runs properly as AudioUnit on Mac, PC, and also on Intel based Mac.
This offer is a download item. The boxed version can be purchased from your local dealer.
Whats New
Updates: official site does not provide any info about changes in this version.

Homepage:
Код:
https://waldorfmusic.com/en/ppg-wave-software/product/7-waldorf-ppg-wave-3-v

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[2022] The Complete Guide To A World Class Resume


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Last updated 9/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 878.51 MB | Duration: 0h 48m

Step By Step Guide To Create a World Class Resume​

What you'll learn
Knowing The Importance Of Selling Your Brand Through Your Resume
How to Create a Compelling Personal Mission Statement
Choosing a Quote that is Special to You
Selecting the Right Accomplishments to Showcase
Choosing The Right Mix of Strengths
How to List your technical ability
Sharing a Day in Your Life
Understanding The Importance of Experience and Qualifications
Requirements
Anyone Interested in Creating a World class Resume
Description
Do You want to create a world class resume that will help you stand out?Want something special to land your dream job?Getting ready for a role move and need to freshen up your resume?The this is the ideal course for you.With a step by step guide and three outstanding resume templates included you will be spoiled for choice and prepared to land your dream job.Each Section of the Resume design, creation, refinement, and presentation is covered in detail, which included:Professional Headshot Selection for your resumeWhat to do, what to watch out for and common mistakes to avoid selling the wrong brandContact Details and Personal Biography for your resumeHow your biography should sell your personal mission statement and give the reader a sense of who you are, what you do and the Why that spurs you onLife Philosophy for your resumeWhat once code sums you up succinctly?Showcasing your Achievements on your resumeChoosing the right level and mix of details here to support the creation of your personal brand and help you stand out from all the competition.Core Strengths for your resumeChoosing the right mix to ensure you pass all robotic and human screeningTechnical Ability for your resumeBeing Open and Honest and rating yourself against your core technical skillsA Day in the Life for your resumeAllow the reviewer to make a personal connection with you and see what walking a mile in your shoes looks likePersonal and Professional Experience for your resumeThe order to list and the right level of detail to cover, met the needs without the waffleEducation and Professional Certificates for your resumeMake sure you pass the screen, get those required qualification in
Overview
Section 1: Get to Know Your Instructor
Lecture 1 Get to Know a Little About Me and my Experience
Section 2: Welcome to the Course
Lecture 2 Welcome
Lecture 3 A Word of Warning
Lecture 4 Templates Available as Part of the Course
Section 3: Graphical Resume Overview
Lecture 5 Graphical Resume Overview
Section 4: Choosing an Professional Headshot
Lecture 6 Choosing a Professional Headshot
Section 5: Contact Details and Bio
Lecture 7 Contact Details and Bio
Section 6: Life Philosophy Selection
Lecture 8 Life Philosophy Selection
Section 7: Selecting Your Achievements
Lecture 9 Selecting Your Achievements
Section 8: Selecting Your Key Strengths
Lecture 10 Selecting Your Key Strengths
Section 9: Presenting A Day in Your Life
Lecture 11 Presenting A Day in Your Life
Section 10: Populating Your Experience
Lecture 12 Populating Your Experience
Section 11: Adding Your Education
Lecture 13 Adding Your Education
Section 12: Bonus Lecture
Lecture 14 Bonus Lecture
Section 13: Now its Time for Your Assignment
Those looking to create a world class resume and land their dream job

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Act Math Review With Jillian Smart


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Published 9/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.00 GB | Duration: 2h 1m

ACT Math strategies to help you pass and teach the test​

What you'll learn
Strategies to master five types of Algebra items on the ACT math test
Strategies to master five types of Functions items on the ACT math test
Strategies to master five types of Geometry items on the ACT math test
Strategies to master five types of Number and Quantity items on the ACT math test
Strategies to master five types of Statistics and Probability items on the ACT math test
Requirements
Learners are encouraged to minimize distractions during course activities to maximize learning.
Learners are encouraged to ask questions of one another and communicate with the course instructor to maximize learning.
Learners are encouraged to engage with the materials and resources as they are shared by the course instructor; cramming is not advised.
Description
During this course, learners explore strategies to master ACT Math. Often, test takers struggle on the math test because they lack strategy or vocabulary. Without a test accommodation, test takers do not have unlimited time to demonstrate mastery. Having teacher-tested and student-approved ACT math strategies help test takers make the most of the time provided. Plus, vocabulary familiarity improves understanding of item structure.During ACT Math Review, students attempt authentic ACT Math items, then compare their problem-solving approach with that of ACT Certified Educator, Jillian Smart. Learners are encouraged to minimize distractions during course activities to maximize learning. Learners are encouraged to ask questions of one another and communicate with the course instructor to maximize learning. And, learners are encouraged to engage with the materials and resources as outlined; cramming is not advised.This course is designed to delve deeper into five different types of ACT Math items in each of the following subcategories:Number and QuantityAlgebraFunctionsGeometryStatistics and ProbabilityWith guidance and quality tools, you'll learn how to confidently approach and teach select ACT Math items. To support this process, you'll watch ACT Math video tutorials, complete self-assessment practice items, complete a timed summative practice test, and have access to your course instructor as questions arise. Register now to smash ACT Math.
Overview
Section 1: ACT Math Review - Overview
Lecture 1 Course Overview
Section 2: ACT Math Review - Number and Quantity
Lecture 2 Walkthrough - Acceleration
Lecture 3 Walkthrough - Exponent Rules
Lecture 4 Walkthrough - Imaginary and Complex Numbers
Lecture 5 Walkthrough - Scalar Multiplication
Lecture 6 Walkthrough - Fractions with Radical Numbers
Section 3: ACT Math Review - Algebra
Lecture 7 Walkthrough - Linear Relationships
Lecture 8 Walkthrough - Systems of Equations
Lecture 9 Walkthrough - Scientific Notation
Lecture 10 Walkthrough - Simplifying Expressions
Lecture 11 Walkthrough - Quadratic Relationships
Section 4: ACT Math Review - Functions
Lecture 12 Walkthrough - Function Notation and Substitution
Lecture 13 Walkthrough - Geometric Sequences
Lecture 14 Walkthrough - Quadratic Equations
Lecture 15 Walkthrough - Function Notation and Graphs
Lecture 16 Walkthrough - Slope Formula
Section 5: ACT Math Review - Geometry
Lecture 17 Walkthrough - Unknown Angles
Lecture 18 Walkthrough - Parallel Lines and Transversals
Lecture 19 Walkthrough - Special Right Triangles
Lecture 20 Walkthrough - Trigonometry Functions
Lecture 21 Walkthrough - Reflection Transformation
Section 6: ACT Math Review - Statistics and Probability
Lecture 22 Walkthrough - And/Or Probability Statements
Lecture 23 Walkthrough - Percentages
Lecture 24 Walkthrough - Probability
Lecture 25 Walkthrough - Central Tendency
Lecture 26 Walkthrough - Analyze Data Collection Method
Section 7: ACT Math Review Summative
Lecture 27 Course Reflection and Next Steps
This course is for students planning to take the GED to demonstrate college readiness.,This course is for students with a desire to earn college grants and scholarships which require minimum ACT scores.,This course is for educators and parents charged with teaching ACT preparation courses to learners of all ages.

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Adobe Lightroom Classic Cc Master The Library Module


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Published 9/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.02 GB | Duration: 3h 12m

Import, Sort, and Organize Collections of Images using Collections, Keywords, Color Labels, Flags, Metadata, + More​

What you'll learn
Navigate the Lightroom CC Classic Library Module
Filter Images by Filename
Paint Keywords, and Sort Images using Keyword Sets, Lists and Suggestions
Work with the Library Grid and Loupe View
Learn to Populate Collections and Apply Ratings and Flags
Learn to work with Smart Collections, and the Quick Develop Panel
Requirements
Basic Computer Skills.
No prior experience needed. You will learn everything you need to know.
Description
This course offers an in-depth overview of the foundations of one of the most powerful image editing software applications available: Adobe Lightroom Classic CC. We start right from the ground up, where students will learn to navigate the Lightroom interface, create image catalogs and import hundreds of images for the purpose of sorting and organizing photo collections. Here we will explore important concepts such as catalog settings, import file handling, auto renaming, metadata presets, and import preferences. Once students are familiar with the basics, we take a theoretical dive into a number of concepts and key terms that are essential in the photography and digital image editing arena. Here we will explore various file formats, color spaces, image resolution, pixel density, and much more. From there, we transition back to completing application setup by exploring file handling options, interface preferences, identity plate setup, and watermarking with both text and graphics.Once we've covered the foundations, students will take a deep dive into the Lightroom Library Module. The library module is an integral part of the Lightroom application, which is used for a number of important functions. This includes populating, sorting, and organizing image collection sets. This section starts from the basics, where we explore the Library interface. From there, students learn to filter files, paint keywords, and generate keyword sets. We'll also demonstrate how to use various library views for image comparison, and advanced sorting. Once students have a handle of the foundations, we cover more intermediate sorting techniques using star ratings, pick and reject flags, color labels, and smart collections. We then transition to working with the library attribute filter, adding folders, building smart previews, and an overview of the quick develop panel for basic image enhancements.As you can see this course covers a number of topics that are essential to anyone starting off in the digital image enhancement arena. It's also a great resource for both professional and aspiring photographers that are looking to take their existing shots to the next level. If you're as exciting as we are about this course, hit the enroll button and let's get started.
Overview
Section 1: Lightroom Fundamentals
Lecture 1 Folder Setup
Lecture 2 Creating a Catalog
Lecture 3 Catalog Settings
Lecture 4 Intro to Preferences and Import Dialog
Lecture 5 Import Dialog Continued
Lecture 6 Import File Handling
Lecture 7 Import File Renaming
Lecture 8 Metadata Presets and File Destination
Lecture 9 Import Dialogue Consolidated View
Lecture 10 Preferences Import Options
Section 2: File Formats and Color Space
Lecture 11 Editing in External Applications
Lecture 12 Intro to File Formats
Lecture 13 Color Bit Depth
Lecture 14 Camera to RAW File
Lecture 15 RAW vs JPEG
Lecture 16 RAW vs. DNG vs. TIFF
Lecture 17 Color Spaces
Lecture 18 Color Space Comparison
Lecture 19 External Editing Continued
Section 3: Basic Configuration
Lecture 20 File Handling Options
Lecture 21 Interface Preferences
Lecture 22 Identity Plate Setup
Lecture 23 Watermarking with Text
Lecture 24 Watermarking with Graphics
Section 4: The Library Module
Lecture 25 Intro to the Library Module
Lecture 26 Snapshot of Collections
Lecture 27 Importing to Library
Lecture 28 Filtering by Filename
Lecture 29 Painting Keywords
Lecture 30 Painting Keywords Continued
Lecture 31 Painting Keywords Continued
Lecture 32 Keyword Lists and Suggestions
Lecture 33 Keyword Sets
Lecture 34 Library Module Interface
Lecture 35 Intro to Library Views
Lecture 36 Library Grid and Loupe View
Lecture 37 Compare View
Lecture 38 Survey View
Lecture 39 Quick Collections
Lecture 40 Introduction to Collections
Lecture 41 Populating Collections
Lecture 42 Populating Collections Continued
Lecture 43 Populating Collections Continued
Lecture 44 Exporting and Administering Collections
Lecture 45 Applying Star Ratings
Lecture 46 Pick and Reject Flags
Lecture 47 Color Labels
Lecture 48 Sorting Previews
Lecture 49 Intro to Smart Collections
Lecture 50 Custom Rules for Smart Collections
Lecture 51 Practice with Smart Collections
Lecture 52 Library Attribute Filter
Lecture 53 Library Metadata Filter
Lecture 54 Adding Folders
Lecture 55 Auto Import with Watch Folder
Lecture 56 Building Smart Previews
Lecture 57 Advantages of Smart Previews
Lecture 58 Smart Collections with Smart Previews
Lecture 59 Intro to Quick Develop Panel
Lecture 60 Quick Develop White Balance and Tint
Lecture 61 Quick Develop Exposure Correction
Lecture 62 Quick Develop Clarity and Vibrance
Lecture 63 Metadata Panel
Students interested in the Foundations of Lightroom CC Classic,Students interested specifically in mastering the Lightroom CC Clasic Library Module,Students interested in learning to sort and organize image collections in Lightroom CC Classic,Students interested in learning to work with various views in Lightroom CC Classic

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Break Out Of Excel And Into Tableau In 90 Minutes


e0c3b8fa6a5df2b202a43a721e7957c4.jpeg



Last updated 6/2020
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 581.86 MB | Duration: 1h 14m

Unleash the Power of Data Visualization to Grow Your Career​

What you'll learn
Tableau
Data Visualization
Data Analysis
Advanced Excel
Reporting Infrastructure
Connect to Data in Tableau
Build Visualizations
Build Interactive Dashboard
The difference between Excel and Tableau
Bar Charts
Line Graphs
KPI Charts
Join Data
Requirements
A computer able to download Tableau
Description
Are you looking to break out of Excel and grow your career?Demand for Tableau Skills is Up 1,581%... it's time you learn this skill as an analyst!In this course you will learn:The difference between Excel and TableauHow to transition from an Excel based Analyst into a Tableau DeveloperHow to connect Tableau to ExcelHow to join, union and blend data sourcesHow to build visualizationsHow to build interactive dashboardsHow to build a reporting infrastructureBuild a Reporting InfrastructureIn this course you will learn how to build infrastructure around reporting. This approach to analysis will help you scale your ability to communicate to your clients, boss or business owner. Instead of creating manual ad hoc reports like most Excel users, you will learn how to create interactive dashboards that will empower your end user to quickly see the analysis they need. Content and OverviewThis course is designed for those analysts who are fairly experienced with Excel and will provide a path forward towards more potent analysis through Data Visualization. We will walk through 2 case studies together. The first case study is designed to get your comfortable with Tableau then, in the second case study, we will move on to a real world use case where you will get to see the potency of Tableau.
Overview
Section 1: Introduction
Lecture 1 My Excel to Tableau Story
Lecture 2 The difference between Excel and Tableau
Lecture 3 Quick Case Study: What age group should I target?
Section 2: Preparing Data in Excel
Lecture 4 Data Source Introduction
Lecture 5 Udemy Review Updates
Lecture 6 Download the Data Here
Lecture 7 Created a Calculated Column
Lecture 8 Combining Data with VLOOKUP
Section 3: Working with Tableau
Lecture 9 Data Connection Screen
Lecture 10 Creating Calculated Columns within Tableau
Lecture 11 Recreating VLOOKUP in Tableau
Lecture 12 Building Visualizations
Lecture 13 KPI Indicator & Geo-Map
Lecture 14 Building the Dashboard
Section 4: Creating a Reporting Infrastructure
Lecture 15 Section Introduction
Lecture 16 KPI Data Source
Lecture 17 KPI Chart
Lecture 18 Time Series Data Download
Lecture 19 Time Series Analysis
Lecture 20 KPI Dashboard
Lecture 21 Updated Data Sources Download
Lecture 22 Updating the Data Sources
Section 5: Conclusion
Lecture 23 Check Out My YouTube Channel for Free Tableau Content
Beginner Tableau Users,Advanced Excel Users,Business Analysts,Data Analysts

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Character Modelling in Maya


a27a720c8cf9dc5aa6da7a7dde492c89.jpeg



MP4 | Video: h264, yuv420p, 1920x1080 | Audio: aac, 44100 Hz | Duration: 5h 19m | 2.91 GB
Genre: eLearning | Language: English​

Fernando Aguilera, illustrator and 3D artist never tires of exploring new tools and ways of giving life to his characters. Both for your professional assignments and your personal projects, always try to optimize resources to obtain impeccable results.

In this course you will discover what is your process of conceptualization and modeling of characters, learning several tricks to reduce render times and modeling, using the new tools of Maya 2017, beyond the conventional scheme of the work process.
You will begin knowing the project that you will develop throughout the course. In addition, Fernando will detail the details of your work process and will guide you when familiarizing yourself with Maya's basic interface.
You will learn topology principles, key concepts to develop and start modeling the main parts of your 3D illustration. And you will discover the different tools, conventional and recent, to model in Maya.
Once the main forms are created, you will learn to work with MASH to create complex patterns that you can apply to various elements of your digital illustration.
You will also create a rig, which will help you pose different elements and the character in a natural way.
Then, you will see the bases of the render with Arnold and you will learn to take advantage of its different tools to illuminate a scene and apply all kinds of textures in your 3D illustration.
Finally, Fernando will show you how to make the last adjustments in Photoshop.

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Class101 - Monika - Learn Animal Anatomy to Draw Realistic Animals from Imagination


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Video: MPEG4 Video (H264) 1920x1080 29.97fps 3426kbps | Audio: AAC 48000Hz stereo 125kbps
Genre: eLearning | Duration: 24 Weeks, 36 Recorded | Language: English | File size: 2.7 GB​

This course is for anyone who loves animals and wants to draw them realistically from imagination, without having to search for reference photos before every drawing session. If you're interested in creature design, this course will allow you to make your creatures more realistic. If you've studied the subject of animal anatomy earlier, this course will also help you organize your knowledge.

Screenshots

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Complete Deep Learning In R With Keras & Others


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Last updated 12/2019
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.73 GB | Duration: 7h 55m

Deep Learning: Master Powerful Deep Learning Tools in R Like Keras, Mxnet, H2O and Others​

What you'll learn
Be Able To Harness The Power Of R For Practical Data Science
Master The Theory Of Artificial Neural Networks (ANN) and Deep Neural Networks (DNN)
Implement ANN For Classification & Regression Problems In R
Learn The Implementation Of Both ANN & DNN Using The H2o Package Of R Programming Language
Learn The Implementation Of Both ANN & DNN Using The MxNet Package Of R Programming Language
Introduction to Convolutional Neural Networks (CNN) For Imagery Classification
Implement CNNs Using Keras
Requirements
Be Able To Operate & Install Software On A Computer
Prior Exposure To Common Machine Learning Terms Such As Unsupervised & Supervised Learning
Prior Exposure To What Neural Networks Are & What They Can Be Used For
Description
YOUR COMPLETE GUIDE TO ARTIFICIAL NEURAL NETWORKS & DEEP LEARNING IN R:*This course covers*the main aspects*of neural networks and deep learning. If you take this course, you can do away with taking other courses or buying books on R based data science.*In this age of big data, companies across the globe use R to sift through the avalanche of information at their disposal. By becoming proficient in neural networks and deep learning in*R, you can give your company a competitive edge and boost your career to the next level!LEARN FROM AN EXPERT DATA SCIENTIST:My name is Minerva Singh*and I*am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a*PhD at Cambridge University. I have +5 years*of*experience in analyzing real life data from different sources using data science related techniques and producing publications for international peer reviewed journals.Over the course of my research I realized almost all the R data science courses and books out there*do not account for the multidimensional nature of the topic . This course will give you a robust grounding in the main*aspects of practical neural networks and deep learning.*Unlike other R instructors, I dig deep into the data science*features of R and give you a one-of-a-kind grounding in*data science... You will go all the way from carrying out data reading & cleaning to to finally implementing powerful neural networks and deep learning algorithms and evaluating their performance*using R.Among other things:You will be introduced to powerful R-based deep learning packages such as h2o and MXNET. You will be introduced to deep neural networks (DNN), convolution neural networks (CNN) and unsupervised methods. You will learn how to implement convolutional neural networks (CNN)s on imagery data using the Keras frameworkYou will learn to apply these frameworks to real life data including credit card fraud data, tumor data, images among others for classification and regression applications.*With this course, you'll have the keys to the entire R Neural Networks and Deep Learning*Kingdom!NO PRIOR R OR STATISTICS/MACHINE LEARNING KNOWLEDGE IS REQUIRED:You'll start by absorbing the most valuable R Data Science basics and techniques. I use*easy-to-understand, hands-on methods to simplify and address even the most difficult concepts in R. My course will*help you*implement the methods using real data*obtained from different sources. Many courses use made-up data that does not empower students to implement R based data science in real-life.After taking this course, you'll easily use data science*packages like caret, h2o, mxnet, keras*to implement novel deep learning techniques in R. You will get your hands dirty with real life data, including real-life imagery data which you will learn to pre-process and model You'll even understand the underlying concepts to understand what algorithms and methods are best suited for your data. We will also work with real data and you will have access to all the code and data used in the course. JOIN MY COURSE NOW!
Overview
Section 1: INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools
Lecture 1 Introduction to the Course
Lecture 2 Data and Code
Lecture 3 Install R and RStudio
Lecture 4 Install MXnet in R and RStudio
Lecture 5 Install Mxnet in R- Written Instructions
Lecture 6 Install H2o
Lecture 7 What is Keras?
Lecture 8 Install Keras in R
Lecture 9 What Are the Most Common Data Types We Will Encounter?
Section 2: Basic Data Access & Pre-Processing in R
Lecture 10 Read in Data From CSV and Excel Files
Lecture 11 Read in Data from Online HTML Tables-Part 1
Lecture 12 Read in Data from Online HTML Tables-Part 2
Lecture 13 Working with External Data in H2o
Lecture 14 Remove NAs
Lecture 15 More Data Cleaning
Lecture 16 Introduction to dplyr for Data Summarizing-Part 1
Lecture 17 Introduction to dplyr for Data Summarizing-Part 2
Lecture 18 Exploratory Data Analysis(EDA): Basic Visualizations with R
Section 3: Some Theoretical Foundations
Lecture 19 Difference Between Supervised & Unsupervised Learning
Lecture 20 Theory Behind ANN (Artificial Neural Network) and DNN (Deep Neural Networks)
Lecture 21 What Are Activation Functions?
Section 4: Build Artificial Neural Networks (ANN) in R
Lecture 22 Neural Network for Binary Classifications
Lecture 23 Evaluate Accuracy
Lecture 24 Implement a Multi-Layer Perceptron (MLP) For Supervised Classification
Lecture 25 Neural Network for Multiclass Classifications
Lecture 26 Neural Network for Image Type Data
Lecture 27 Multi-class Classification Using Neural Networks with caret
Lecture 28 Implement an ANN with H2o For Multi-Class Supervised Classification
Lecture 29 Implement an ANN Based Classification Using MXNet
Lecture 30 Implement MLP With Keras
Lecture 31 Keras MLP On Real Data
Lecture 32 Keras MLP For Regression
Lecture 33 Neural Network for Regression
Lecture 34 More on Artificial Neural Networks(ANN) - with neuralnet
Lecture 35 Implement an ANN Based Regression Using MXNet
Lecture 36 Identify Variable Importance in Neural Networks
Section 5: Build Deep Neural Networks (DNN) in R
Lecture 37 Implement a Simple DNN With "neuralnet" for Binary Classifications
Lecture 38 Implement a Simple DNN With "deepnet" for Regression
Lecture 39 Implement a DNN with H2o For Multi-Class Supervised Classification
Lecture 40 Implement a (Less Intensive) DNN with H2o For Supervised Classification
Lecture 41 Implement a DNN With Keras
Lecture 42 Identify Variable Importance
Lecture 43 Implement MXNET via "caret"
Lecture 44 Implement a DNN with H2o For Regression
Lecture 45 Implement a DNN with Keras For Regression
Lecture 46 Implement DNN Regression With Keras (Real Data)
Section 6: Unsupervised Classification with Deep Learning
Lecture 47 Theory Behind Unsupervised Classification
Lecture 48 Autoencoders for Unsupervised Learning
Lecture 49 Autoencoders for Credit Card Fraud Detection
Lecture 50 Use the Autoencoder Model for Anomaly Detection
Lecture 51 Autoencoders for Unsupervised Classification
Lecture 52 Autoencoders With Keras
Lecture 53 Keras Autoencoders on Real Data
Lecture 54 Stacked Autoencoder With Keras
Lecture 55 Keras For Outlier Detection
Lecture 56 Find the Outlier
Lecture 57 Outlier Detection For Cancer (With Keras)
Section 7: Convolutional Neural Networks (CNN)
Lecture 58 What is a CNN?
Lecture 59 Implement a CNN for Multi-Class Supervised Classification
Lecture 60 More About Our CNN Model Accuracy
Lecture 61 Set Up CNN With Keras
Lecture 62 More About CNN With Keras
Lecture 63 Implement Keras CNN On Real Images
Lecture 64 Some More Explanations
Lecture 65 Improve CNN Performance
Lecture 66 CNN For Multiclass Classification
Section 8: Working With Textual Data
Lecture 67 Basic Pre-Processing of Text Data
Lecture 68 Detect Frauds Using Keras Autoencoders on Text Data
Lecture 69 Word Embeddings For Classifying Fraud
Lecture 70 Word Embeddings For Classifying Fraud-GloVe
Section 9: Recurrent Neural Networks (RNN)
Lecture 71 Some theoretical foundations
Lecture 72 Use RNNs for Text Classification
Lecture 73 Use RNNs for Temporal Data
People Wanting To Master The R & R Studio Environment For Data Science,Anyone With Prior Exposure To Common Machine Learning Concepts Such As Supervised Learning,Students Wishing To Learn The Implementation Of Neural Networks On Real Data In R,Students Wishing To Learn The Implementation Of Basic Deep Learning Concepts In R

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Content Marketing Master™ With Certification From Iidm


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Last updated 9/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.99 GB | Duration: 2h 5m

Content Marketing and Strategy Foundations with certification from International Institute of Digital Marketing™​

What you'll learn
Content Marketing
Canva
Heropost
Graphic Design
Digital Marketing
Branding
Brand Marketing
Brand Loyalty
Blogging
Podcast
Blog
Video
Video Marketing
Content Writing
Wordpress
Copy Writing
SEO
Social Media Marketing
Social Media
Editing
Social Media Branding
Requirements
Be able to read and understand English
Computer/Laptop necessary
Creativity
Description
Content Marketing Master™Marketing in the current world requires content creation. Whether it's videos, blogs, social media posts, articles, pictures, or anything else, to catch consumer's attention, you need to have content that sets you apart, things they can share and look at. This course teaches you what you need to know for creating content, how to utilize it in marketing, how it helps, and more.This is a hybrid course, which means it is a more hands-on experience than you would find in most online courses. Each lecture will include downloadable lecture notes, activities, and resources that will serve as your guideline on how to successfully complete the lecture.This course consists of;15 Lecture Videos2 Downloadable ResourcesLecture DescriptionsIIDM™ Profile BannerA total of 17 Lectures10 Assignments to be submitted to IIDM™3 Quizzes34 External ResourcesCreate and schedule 3 Social Media graphics per week using Canva Pro and Heropost.Create a Blog and Upload to IIDM™ Blog site using WordPressCreate a Podcast that will be uploaded to Youtube, Spotify, and Google PodcastDURATION: Please note, this course is designed as a one-month course, but students may choose to complete it in a shorter time frame. All students must complete all assignments, quizzes, and lectures.Learning GoalsLearn the basics of content marketing through real-world examples and practice with multiple different content types.How to utilize email for marketing and how to create powerful, engaging, and aesthetically pleasing email content.What content is and understanding its use cases in different contexts.IMPORTANT!Kindly contact us via email before you start your learning journey. We will provide you with Google Drive access for your learning materials and evaluation for the certification upon completion.Contact us here:
Overview
Section 1: WEEK 0 -INTRODUCTION
Lecture 1 Welcome to the International Institute of Digital Marketing™
Lecture 2 Training Overview
Lecture 3 Register your profile on IIDM™ Website.
Lecture 4 Become an Affiliate with IIDM™.
Lecture 5 Outline and Objectives
Lecture 6 Introduction to Digital Marketing
Section 2: WEEK 1 - CONTENT MARKETING MASTER™
Lecture 7 Research Activity
Lecture 8 Setting Goals and Choosing Channels
Lecture 9 Social Media Channels
Lecture 10 Introduction to Social Media Marketing
Lecture 11 Automation tools for Social Media Marketing: Heropost
Lecture 12 Create Social Media Graphics on CANVA
Section 3: WEEK 2 -CONTENT MARKETING MASTER™
Lecture 13 Branding in Social Media. Why Branding is important?
Lecture 14 Social Media Posting Strategies and Automation
Section 4: WEEK 3 CONTENT MARKETING MASTER™
Lecture 15 How to create a blog
Lecture 16 SEO for Blogs
Section 5: WEEK 4 - CONTENT MARKETING MASTER™
Lecture 17 Creative content for Social Media: Podcasts
Lecture 18 Digital Certification Badge
Section 6: More courses in the Licensed Digital Marketing Master™ track.
Lecture 19 International Institute Of Digital Marketing™
Beginner Digital Marketing,Beginner in Content Marketing,Beginner in Social Media Marketing,Graphic Artists,Content Writers,Creative Students,Marketing Students

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Data Analysis With Polars


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Published 9/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 347.75 MB | Duration: 0h 52m

Transform your data analysis with Polars - the powerful new dataframe library​

What you'll learn
Explain why Polars is a better tool for data science than Pandas
Be able to efficiently read data from a file or database with Polars
Transform data with Polars including string, time series and categorical data
Do basic descriptive statistics along with groupby aggregations and group operations
Combine data from different datasets using joins and concatenations
Understand lazy evaluation and query optimization
Visualise data with Polars
Prepare data for machine learning pipelines with Polars
Requirements
A basic familiarity with Pandas for data science. You need to be a Pandas user, not an Pandas expert!
Description
This course shows you how to take advantage of Polars - the fast-growing new open source dataframe library that is becoming the go-to dataframe library for data scientists in python. The course is for data scientists who have some familiarity of an existing dataframe library like Pandas or Dask but who want to move to a library that is easier to write and faster to run. The course consists of video lectures, Jupyter notebooks and interactive quizzes. Each notebook comes with a set of exercises to help you develop your understanding of the core concepts. The course introduces the syntax of Polars that many have found to be easier to read and write than existing tools such as Pandas or SQL. In addition, the course shows you how to take advantage of the powerful features built into Polars such as the query optimizer and automatic parallelization.By the end of the course you will have optimized ways to:load and transform your data from CSV, Excel, Parquet, IPC or a database connection carry out aggregations on your datacombine your datasetsvisualise your outputs andprepare your data for machine learning pipelinesThe examples will cover a range of domains from tabular data to time series and NLP.
Overview
Section 1: Introduction - up and running with Polars
Lecture 1 Course introduction
Lecture 2 Why use Polars instead of Pandas?
Lecture 3 Course materials
Lecture 4 Installing the software on MacOS
Lecture 5 Installing the software on Windows
Lecture 6 How to use the materials on this course
Lecture 7 Polars - up and running
Lecture 8 Introducing lazy evaluation and query optimization
Lecture 9 Introduction to Data types
Lecture 10 Introduction to Series and DataFrame
Lecture 11 Converting to and from Pandas & Numpy
Section 2: Selecting data and introduction to expressions
Lecture 12 Filtering rows I: Filtering rows with square brackets
Lecture 13 Filtering rows II: Using `filter` and the Expression API
Lecture 14 Filtering rows III: using `filter` in lazy mode
Lecture 15 Selecting columns I: square brackets and .select
Lecture 16 Selecting columns II: choosing multiple columns
Lecture 17 Selecting columns III: transforming and adding columns
Lecture 18 Selecting columns IV: Transforming and adding multiple columns
Lecture 19 Adding a conditional column
Data scientists who want to process data with a library that offers higher performance,Data scientists who want to process data with a library that requires fewer user optimizations

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Data Lake, Firehose, Glue, Athena, S3 And Aws Sdk For .Net


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Last updated 3/2020
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 746.03 MB | Duration: 1h 55m

Leverage AWS Kinesis Data Firehose, AWS Glue, S3, Athena and the AWS SDK to build a Data Lake.​

What you'll learn
How to build a Data Lake using Firehose API for .NET, S3, AWS Glue and Athena
Requirements
You must have an active AWS Account to utilized the included code.
Prior knowledge of AWS Web Services would be helpful, but not needed.
Description
The purpose of this class is to demonstrate a proof of concept using a series of lab exercise's (in the AWS Console using AWS Kinesis Data Firehose, AWS Glue, S3, Athena and the AWS SDK, with C# code using the AWS SDK) of building a Data Lake in the AWS ecosystem.In this class, we will be sending data from a local SQL Server database to AWS RDS securely, and automatically.I am utilizing the .NET SDK for AWS, however, this could easily be migrated to your language of choice once you understand the concepts that I*am teaching. I will be providing the full working source code of this proof of concept.I will also provide a working example of creating Parquet files and sending to S3 (without using Firehose).
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Overview of AWS Web Services in a Data Lake
Lecture 2 AWS Serverless pieces to our Data Lake jigsaw puzzle
Section 3: AWS RDS and S3
Lecture 3 S3 Bucket creation
Lecture 4 RDS creation
Section 4: AWS Kinesis Firehose, C# and the AWS SDK
Lecture 5 Creating Kinesis Data Firehose delivery streams
Lecture 6 Console .NET core C# entity-framework project
Lecture 7 Kinesis Firehose C# API class
Lecture 8 Kinesis Firehose C# API send data example
Section 5: AWS Glue, Athena, ETL jobs, Triggers, and using Hangfire
Lecture 9 Creating Glue Crawlers
Lecture 10 Query Data in Athena using SQL
Lecture 11 Creating AWS ETL jobs
Lecture 12 Hangfire - Automation
Section 6: AWS Lake Formation, Cognito and Parquet .NET
Lecture 13 AWS Lake Formation
Lecture 14 AWS Cognito
Lecture 15 Parquet .NET - Alternative to using Firehose
Section 7: Final thoughts and advice
Lecture 16 Conclusion
AWS developers interested in learning about building a data lake using AWS services and the AWS SDK.

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Domestika - Introduction to Hard Surface Modeling


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MP4 | Video: h264, yuv420p, 1920x1080 | Audio: aac, 44100 Hz | Duration: 7h 12m | 3.44 GB
Genre: eLearning | Language: English​

Creating robots and science fiction characters with stories that go beyond the present is what Victoria Passariello - 3D video game and visual effects artist - loves. Specializing in modeling hard surface , a method with which he works rigid surfaces achieving the smoothness, details and textures of the material, he has created characters and models of mechanical appearance for games like BattleTech or The Mandate, trailers like Outriders and Destiny Warmind, and Netflix series.

In this introductory course on modeling hard surface learn the techniques and tools that Victoria uses to model a simple robot with Autodesk 3ds Max - software that the teacher will use - or another polygonal design program of your choice. You will learn how to render different images with KeyShot and make a good postproduction in Adobe Photoshop.
The first thing you will do will be to meet Victoria, who will tell you about her career, her studies in industrial design, how she finally decided to learn - in a self-taught way - 3D modeling to dedicate herself professionally to it in the videogame industry.
You will see its main influences, from science fiction films such as Terminator, Star Wars, Alien, District 9 and Ex Machina, among many others that feed their passion for robots and artificial intelligence.
To create your robot or science fiction character, you will first think about its history and, based on that, you will look for references until you put together a collage to visualize it during the evolution of your creation.
You will know the programs that Victoria will use to create realistic scenes through 3D models - Autodesk 3ds Max, KeyShot and Adobe Photoshop - and other alternative programs with which you can also make your robot like Autodesk Maya. Then, you will see all the tools that you usually use when creating a model through examples and shortcuts .
You will get down to work and start building the robot's base mesh following the proportions of the concept and using the basic tools previously explained.
Once the base mesh is finished, you will develop each of the pieces in their final design, you will add final details - such as lines, screws, among others - and the support edges to your design. Next, you will learn to mount a simple scene (lighting, HDRI and materials) in KeyShot and you will finish your robot by performing postproduction in Adobe Photoshop.

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Earn Crypto By Posting & Blogging On Social Media


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Last updated 9/2021
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 469.57 MB | Duration: 1h 7m

Discover The Hot, New Site That Pays You To Post!​

What you'll learn
Discover the new social media site that pays you in cryptocurrency.
Learn how to post on this social media site to earn crypto rewards with each post.
Learn how to maximize your earnings.
Discover how to earn crypto rewards for likes, comments and curating.
Requirements
No requirements, other than your internet-connected device.
Description
Ever wish that Facebook, Twitter, Instagram and Tik Tok would pay you to post?Well, those sites don't do this, but there is a hot, new site that DOES pay you to post!And, not only that, you ALSO get paid to like, comment and share!This hot, new site pays you in cryptocurrency, which is easily exchanged for cash and you're about to learn about it, in this course.In this course, you'll discover:The hot new site that pays you to postHow it worksWhere the posting rewards come fromHow you can get paid to make short, simple postsHow to maximize your rewardsThe types of posts that do really wellThe 4 ways you can earn crypto rewards How to get paid to like, comment and shareAnd much more!Bottom line, you will discover a whole new exciting world where you can finally get paid for your posts, comments, likes and shares!Imagine getting PAID to post the way you usually do on social media?Imagine turning your love of writing, photography, or social media into a part-time or full-time income?Imagine being able to work from home, doing what you enjoy?This is all possible now with this hot, new social media site that pays you to post!Enroll today with NO*RISK!Your enrollment is backed by our 30-day, no-questions-asked, money-back guarantee, so you have nothing to lose and a whole new world of crypto rewards to gain!
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 The New Social Media Site That Pays You To Post
Lecture 3 How Does It Work?
Lecture 4 Where Do The Posting Rewards Come From?
Lecture 5 Quick Walkthrough Of The Site
Lecture 6 SUPER SIMPLE Posts That Still Make You Money
Lecture 7 4 Easy Ways To Earn Crypto Rewards
Lecture 8 How To Set Up Your Account
Lecture 9 How To Make A Post That Pays You Crypto Rewards
Lecture 10 Benefits Of Posting On This New Social Site
Lecture 11 How To Convert Your Crypto Earnings Into Cash
Lecture 12 How To Maximize Your Crypto Rewards And Earnings On Each Post
Lecture 13 EXTRA - Who Are The Top Contributors - And How To Use This Information
Lecture 14 Conclusion
Anyone who wants to make money / earn crypto rewards by posting on social media.

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Google Kubernetes Engine (Gke) - A Beginner'S Guide


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Last updated 9/2021
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1014.13 MB | Duration: 2h 57m

Every expert was once a beginner​

What you'll learn
A very high level overview of Docker
Different aspects of Google Kubernetes Engine (GKE)
Different services of Google Cloud Platform that might be used together with Google Kubernetes Engine
How to deploy a micro service based application in Kubernetes Engine
Different approaches of deploying applications in Kubernetes Engine
How to monitor an application deployed in Kubernetes cluster using Google's monitoring tool
How Kubernetes & Google Kubernetes Engine works in real life projects
How to Deploy a Stateful Application within the Kubernetes Cluster using GKE
How to Deploy a Slack Chat Bot Application within the Kubernetes Cluster using GKE
Requirements
Basic understating of Linux command will help
This course is not about Kubernetes itself. Therefore, I expect you to have some basic understanding of various Kubernetes objects such as pods, deployments, services and so on.
As this course is mostly about Google Kubernetes Engine, you must need an active account on Google Cloud Platform so that you can do enough practices while going through this course
Description
Hello Everyone, welcome to the course of "Google Kubenetes Engine for Absolute Beginner".Throughout the course I will try my level best to illustrate various aspects of Google Cloud Platform and Google Kubernetes Engine (GKE) in an easy way with lots of examples and assignments that will not only help you to understand the underlying concepts but also make you confident to apply the knowledge that you will gain in this course.The course is divided into two main sections. The first section is all about highlighting some core features of Google Cloud Platform (GCP) where as the another section will mainly focus on one of the core services of GCP which is Google Kubernetes Engine(GKE).In the first section, you will start the course with an introductory overview of GCP console that can be used to navigate various services of GCP. Then, you will go through the usages of GCP's command line interface known as Google Cloud shell. you will get to know how to use this Google cloud shell to interact with various GCP services. Then you will see how to create virtual machines using both GCP console and Google Cloud Shell. You will also see in the first section, how to distribute traffic across a number of servers using load balancers.In the following section, where you get to know various features of Google Kubernetes Engine, will focus on deploying microservices in a Kubernetes cluster on Google infrastructure. You will also get to know various ways of deployment in Kubernetes cluster. you will also see the usage of various docker commands from a very high level. You will also see in this section the process of setting up and implementing continuous delivery pipeline with Jenkins in Google Kubernetes engine.
Overview
Section 1: Introduction
Lecture 1 Course Overview
Lecture 2 Features of Google Kubernetes Engine (GKE)
Section 2: Google Cloud Platform (GCP)
Lecture 3 Introducing Google Cloud Platform (GCP)
Lecture 4 Introducing Google Cloud Shell
Lecture 5 Creating Virtual Machine in GCP
Lecture 6 Load Balancing in GCP
Section 3: Deploying Application with Google Kubernetes Engine
Lecture 7 Docker in a Nutshell
Lecture 8 Introducing Google Kubernetes Engine (GKE)
Lecture 9 Deploying a Microservice Application on Google Kubernetes Engine
Lecture 10 Rolling Update Vs Blue Green Deployment Vs Canary Deployment
Lecture 11 Implementing Continuous Delivery Pipeline on GKE with Jenkins-X
Section 4: Assessments: Deploying a Multi-Tier Web Application
Lecture 12 Tasks
Lecture 13 Assignment One: Building a Docker Image
Lecture 14 Assignment Two: Deploying the Application
Lecture 15 Solution: Deploying the Application
Section 5: Cluster Administration
Lecture 16 Section Overview
Lecture 17 Managing GKE Cluster
Lecture 18 Configuring GKE Cluster
Lecture 19 Resizing GKE Cluster
Lecture 20 Managing Node Pools
Lecture 21 Cluster Upgradation
Lecture 22 Cluster Autoscaling
Lecture 23 Deleting GKE Cluster
Section 6: Bonus Lectures
Lecture 24 Monitoring the Cluster with Kubernetes Dashboard
Section 7: Bonus Project - 1 : Deploying Wordpress Application into GKE
Lecture 25 Project Overview
Lecture 26 Provisioning Kubernetes Cluster
Lecture 27 Persistent Volume (PV) & Persistent Volume Claim (PVC)
Lecture 28 Google Cloud SQL
Lecture 29 Deploying WordPress Application
Section 8: Bonus Project - 2 : Deploying a Slack Chat Bot into GKE
Lecture 30 Project Overview
Lecture 31 Slack Workspace
Lecture 32 Chat Bot Application
Lecture 33 Building Docker Image
Lecture 34 Deploying the Chat Bot into GKE
Section 9: Conclusion
Lecture 35 Learning Resources
Lecture 36 Thank You
Developers who want to deploy their applications in to Google Kubernetes Engine (GKE),DepOps engineers who want to move into Kubernetes from their traditional infrastructure,Anyone who want to explore various features of Google Kubernetes Engine

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Green Mafia The Laziest Business Model To Make Money Online


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Published 9/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 715.89 MB | Duration: 0h 46m

World #1 Buy Low & Sell High Arbitrage Formula​

What you'll learn
You Will Learn How to Buy "Cheap" Products from this Secret Marketplace and Sell with High Profit Margin to Other Giant MarketPlace
You Will Learn This Easy and Smart "Arbitrage" System
Action Takers Will Succeed
Video Modules On Setting Up The Entire Green Mafia Simple Yet Powerful System
No Need to Waste Time on Lengthy Methods
High Quality Step By Step Training
Requirements
If You Can Browse Internet You Can do this "No Skill Required" 100% Newbie Friendly
Description
The Laziest Business Model the World Has Ever ProducedUnleash The Secret Marketing Place to Get More SalesAnd Customers That You Can Possibly HandleLaziest System EverBuilt For NewbiesSet Up Time 23 Minutes​No Need to Waste Time on Lengthy Methods​High-Quality Step By Step Training​This is What You Need to Kick Start New Year​No Experience Needed​No Skill NeededFrom the Desk of Shan DinRe: Laziest System Ever...This Product is Going to Give You the Power to Leverage the Secret MarketPlace that only a handful of Marketers dare to go All-in With an Open Chest and Willingness to Steal All the Secrets From the Well Protected Walls of Mafia's KingdomI Will Quietly Open The Door For This UntappedGreen Mafia's MarketPlace For You..And Guess WhatI'll Even Show You How You Can Buy Gigs For a Single Dollar!And you can sell them for whatever you like.Even as much as $50!Isn't it about time you picked up a sweet little training course that DIDN'T promise you'd make hundreds (if not thousands) of dollars in the next 15 minutes..but actually, showed you an honest and genuine system that Get REAL results?This Method Works For ANYONE..Newbie or experienced..A TRUE Business in a box~ Zero experience or tech skills neededOutsource EVERYTHING~ UNLIMITED income streams..so many different opportunities!If you want to put an end to the struggling.I Highly Recommend You Pick this up NowThis is a Real Business in a box.No Bank is Going to Give me the Return on Investment Compare to What Green Mafia Market Place is Offering Every Single Day...Imagine what it would be like to..have people waiting in line for your services,that you provide.without even doing the work!.know exactly what to offer them, and where to get it donefor a fraction of the price they're willing to payI Can Set Up These Mini ATM Machine'sin As Little As in 30 MinutesFAQDo I Need the Experience To Make This Work?A. Absolutely not, this is a completely newbie-friendly System and has fully comprehensive training, and nothing is left out!Are There Any hidden or Monthly Fees?A. No way, we never hide any of the costs and you will always only pay 1 time - never re-billed again. As stated above this is a one-time payment only.Will I be Overwhelmed with the System?Absolutely not I Kept Video's length very short and sweet so you can easily consume the content in a very short period of time and start taking action right away and see the results...Do I Need any AnySoftware To Make Money?A. The answer is No. We are showing you inside how you can profit with Green Mafia Market Place uses our methods only.There is no paid software involved in this.Who Should Try Green Mafia?A. This system is for everyone tired of spinning their wheels and testing different methods. Green Mafia works. Period.How Fast This Training Can Make Me Money?A. We can not guarantee when can you make a profit using Green Mafia System. However, if you follow our system exactly as it's laid out, we can certainly say that you will see success.
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Buckle Up "Get Ready to Blown Away With Simple Business Model
Lecture 3 My Secret Weapon
Lecture 4 Complete Setup Of The System
Lecture 5 Gig Package & Video
Lecture 6 My Recommendation & Conclusion
Laziest System Ever,Built For Newbies,Set Up Time 33 Minutes,No Experience Needed,No Skill Needed

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