All mitsumi'1s Applications !! (updated daily) - Страница 4182

mitsumi1 · 16.06.2021, 09:36

The Certified in Risk and Information Control (CRISC) certification is an established, well-recognized credential from ISACA, the organization that has issued over 200,000 certifications to cybersecurity professionals in 188 countries. A CRISC certification shows employers that you understand how to identify and manage IT risk in an enterprise and that you're capable of implementing and maintaining the controls necessary to address risks. This series of courses provides you with insights and content around the four IT risk management domains. In this first course of the series, instructor Jerod Brennen focuses on the first CRISC domain: IT Risk Identification. Jerod goes over some basic definitions and information for IT risks, then covers several threats and vulnerabilities and how you can protect your organization's people, processes, and technology. He addresses enterprise risk context and shows you techniques to engage your stakeholders and improve your risk posture.

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/5ca5f10ad0ff36b2b67eb7f39390a7df/x4x2n.CRISC.Cert.Prep.1.IT.Risk.Identification.rar.html

uploadgig_com:
https://uploadgig.com/file/download/0A979999b869a87c/x4x2n.CRISC.Cert.Prep.1.IT.Risk.Identification.rar

nitroflare_com:
https://nitroflare.com/view/DCACC57852C0030/x4x2n.CRISC.Cert.Prep.1.IT.Risk.Identification.rar

Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 16.06.2021, 09:37

MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz
Language: English | Size: 1.18 GB | Duration: 3h 16m

What you'll learn
Deep Learning for Natural Language Processing
Multi-Layered Perceptrons (MLPs)
Word embeddings
Recurrent Models: RNNs, LSTMs, GRUs and variants
DL for NLP
Requirements
Basics of machine learning
Description
This course is a part of "Deep Learning for NLP" Series. In this course, I will introduce basic deep learning concepts like multi-layered perceptrons, word embeddings and recurrent neural networks. These concepts form the base for good understanding of advanced deep learning models for Natural Language Processing.

The course consists of three sections.

In the first section, I will talk about Basic concepts in artificial neural networks like activation functions (like ramp, step, sigmoid, tanh, relu, leaky relu), integration functions, perceptron and back-propagation algorithms. I also talk about what is deep learning, how is it related to machine learning and artificial intelligence? Finally, I will talk about how to handle overfittting in neural network training using methods like regularization, early stopping and dropouts.

In the second section, I will talk about various kinds of word embedding methods. I will start with basic methods like Onehot encoding and Singular Value Decomposition (SVD). Next I will talk about the popular word2vec model including both the CBOW and Skipgram methods. Further, I will talk about multiple methods to make the softmax computation efficient. This will be followed by discussion on GloVe. As special word embedding topics I will cover Cross-lingual embeddings. Finally, I will also talk about sub-word embeddings like BPE (Byte Pair Encoding), wordPiece, SentencePiece which are popularly used for Transformer based models.

In the third session, I will start with general discussion on ngram models. Next I will briefly introduce the neural network language model (NNLM). Then we will spend quite some time understanding how RNNs work. We will also talk about RNN variants like BiRNNs, Deep BiRNNs. Then I will discuss the vanishing and exploding gradients problem. This will be followed by details of the LSTMs and GRUs architectures.

Who this course is for:
Beginners in deep learning
Python developers interested in data science concepts

Screenshots

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/095060ba78d881bd02b2d2dd2cc34ad1/lgaz0.Deep.Learning.for.Natural.Language.Processing.DL.for.NLP.1.part1.rar.html
https://rapidgator.net/file/88969b23b0cb6302923d4f40990b70ba/lgaz0.Deep.Learning.for.Natural.Language.Processing.DL.for.NLP.1.part2.rar.html

uploadgig_com:
https://uploadgig.com/file/download/672c0c1284D602ee/lgaz0.Deep.Learning.for.Natural.Language.Processing.DL.for.NLP.1.part1.rar
https://uploadgig.com/file/download/2B492224e7e71e3f/lgaz0.Deep.Learning.for.Natural.Language.Processing.DL.for.NLP.1.part2.rar

nitroflare_com:
https://nitroflare.com/view/0EF7726A2BEE59D/lgaz0.Deep.Learning.for.Natural.Language.Processing.DL.for.NLP.1.part1.rar
https://nitroflare.com/view/A5AD568C26896E1/lgaz0.Deep.Learning.for.Natural.Language.Processing.DL.for.NLP.1.part2.rar

Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 16.06.2021, 09:39

MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz
Language: English | Size: 1.16 GB | Duration: 2h 53m

What you'll learn
Deep Learning for Natural Language Processing
Encoder-decoder models, Attention models, ELMo
GLUE, Transformers, GPT, BERT
DL for NLP
Requirements
Basics of machine learning
Recurrent Models: RNNs, LSTMs, GRUs and variants
Multi-Layered Perceptrons (MLPs)
Description
This course is a part of "Deep Learning for NLP" Series. In this course, I will introduce concepts like Encoder-decoder attention models, ELMo, GLUE, Transformers, GPT and BERT. These concepts form the base for good understanding of advanced deep learning models for modern Natural Language Processing.

The course consists of two main sections as follows.

In the first section, I will talk about Encoder-decoder models in the context of machine translation and how beam search decoder works. Next, I will talk about the concept of encoder-decoder attention. Further, I will elaborate on different types of attention like Global attention, local attention, hierarchical attention, and attention for sentence pairs using CNNs as well as LSTMs. We will also talk about attention visualization. Finally, we will discuss ELMo which is a way of using recurrent models to compute context sensitive word embeddings.

In the second section, I will talk about details about the various tasks which are a part of the GLUE benchmark and details about other benchmark NLP datasets across tasks. Then we will start our modern NLP journey with understanding different parts of an encoder-decoder Transformer model. We will delve into details of Transformers in terms of concepts like self attention, multi-head attention, positional embeddings, residual connections, and masked attention. After that I will talk about two most popular Transformer models: GPT and BERT. In the GPT part, we will discuss how is GPT trained and what are differences in variants like GPT2 and GPT3. In the BERT part, we will discuss how BERT is different from GPT, how it is pretrained using the masked language modeling and next sentence prediction tasks. We will also quickly talk about finetuning for BERT and multilingual BERT.

Who this course is for:
Beginners in deep learning
Python developers interested in data science concepts

Screenshots

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/5f9a9ea9ad629abffb3c9016de22656d/kkv48.Deep.Learning.for.Natural.Language.Processing.DL.for.NLP.2.part1.rar.html
https://rapidgator.net/file/0d885e928f5db632f565eb7f02033ca7/kkv48.Deep.Learning.for.Natural.Language.Processing.DL.for.NLP.2.part2.rar.html

uploadgig_com:
https://uploadgig.com/file/download/3a9d0A783f1e62fe/kkv48.Deep.Learning.for.Natural.Language.Processing.DL.for.NLP.2.part1.rar
https://uploadgig.com/file/download/0448C302d142bfF4/kkv48.Deep.Learning.for.Natural.Language.Processing.DL.for.NLP.2.part2.rar

nitroflare_com:
https://nitroflare.com/view/36FEE6B700497F4/kkv48.Deep.Learning.for.Natural.Language.Processing.DL.for.NLP.2.part1.rar
https://nitroflare.com/view/5CC7417B77F28FB/kkv48.Deep.Learning.for.Natural.Language.Processing.DL.for.NLP.2.part2.rar

Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 16.06.2021, 09:41

MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz
Language: English | Size: 1.57 GB | Duration: 3h 27m

What you'll learn
Deep Learning for Natural Language Processing
Sentence Embeddings: Bag of words, Doc2Vec, SkipThought, InferSent, DSSM, USE, MTDNN, SentenceBERT
Generative Transformer Models: UniLM, Transformer-XL and XLNet, MASS, BART, CTRL, T5, ProphetNet
DL for NLP
Requirements
Basics of machine learning
Recurrent Models: RNNs, LSTMs, GRUs and variants
Basic understanding of Transformer based models and word embeddings
Description
This course is a part of "Deep Learning for NLP" Series. In this course, I will introduce concepts like Sentence embeddings and Generative Transformer Models. These concepts form the base for good understanding of advanced deep learning models for modern Natural Language Generation.

The course consists of two main sections as follows.

In the first section, I will talk about sentence embeddings. We will start with basic bag of words methods where sentence embedddings are obtained using an aggregation over word embeddings of constituent words. We will talk about averaged bag of words, word mover's distance, SIF and Power means method. Then we will discuss two unsupervised methods: Doc2Vec and SkipThought. Further, we will discuss about supervised sentence embedding methods like recursive neural networks, deep averaging networks and InferSent. CNNs can also be used for computing semantic similarity between two text strings; we will talk about DSSMs for the same. We will also discuss 3 multi-task learning methods including Universal Sentence Encodings and MT-DNN. Lastly, I will talk about SentenceBERT.

In the second section, I will talk about multiple Generative Transformer Models. We will start with UniLM. Then we will talk about segment recurrence and relative position embeddings in Transformer-XL. Then get to XLNets which use Transformer-XL along with permutation language modeling. Next we will understand span masking in MASS and also discuss various noising methods on BART. We will then discuss about controlled natural language generation using CTRL. We will discuss how T5 models every learning task as a text-to-text task. Finally, we will discuss how ProphetNet extends 2-stream attention modeling from XLNet to n-stream attention modeling, thereby enabling n-gram predictions.

Who this course is for:
Beginners in deep learning
Python developers interested in data science concepts
Masters of PhD students who wish to learn deep learning concepts quickly

Screenshots

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/7f8f27ae8a4ea9ff4ba9fbb4cc973aa3/xbdf1.Deep.Learning.for.Natural.Language.Processing.DL.for.NLP.3.part1.rar.html
https://rapidgator.net/file/a5a269a2f44e393da597ff52896be255/xbdf1.Deep.Learning.for.Natural.Language.Processing.DL.for.NLP.3.part2.rar.html

uploadgig_com:
https://uploadgig.com/file/download/035de83cCb8281a7/xbdf1.Deep.Learning.for.Natural.Language.Processing.DL.for.NLP.3.part1.rar
https://uploadgig.com/file/download/8feCb96a1FA6970c/xbdf1.Deep.Learning.for.Natural.Language.Processing.DL.for.NLP.3.part2.rar

nitroflare_com:
https://nitroflare.com/view/BDD26C8DC07E054/xbdf1.Deep.Learning.for.Natural.Language.Processing.DL.for.NLP.3.part1.rar
https://nitroflare.com/view/5B62D34E644A8D3/xbdf1.Deep.Learning.for.Natural.Language.Processing.DL.for.NLP.3.part2.rar

Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 16.06.2021, 09:43

What you'll learn:
How to derive the discrete energy spectrum of a hydrogen-like atom from the Schrodinger equation
How to use the method of separation of variables to solve the Schrodinger equation

Requirements
Calculus, Multivariable Calculus (especially: derivatives, the Laplacian, spherical coordinates)
Concept of potential energy, Coulomb interaction
Some familiarity with the Schrodinger equation (not how to solve it, but what it is, what the wave function and Hamiltonian are)
complex exponentials
Some familiarity with ordinary differential equations

Description
In this course the discrete energy spectrum of hydrogen-like atoms is derived from the Schrodinger equation. In the following, the history of this important discovery is contextualized.

In the early 20th century, Ernest Rutherford performed some experiments that established that atoms consisted of negatively charged electrons surrounding a small, dense, positively charged nucleus. From the experimental data, Rutherford was led to consider a planetary model of the atom, the Rutherford model of 1911. This had electrons orbiting a nucleus, but involved a technical difficulty: the laws of classical mechanics predict that the electron will release electromagnetic radiation while orbiting a nucleus. Because the electron would lose energy, it would rapidly collapse into the nucleus in a very minuscule amount of time (of the order of picoseconds). This model of the atom is disastrous because it predicts that all atoms are unstable. However, late 19th-century experiments had shown that atoms will only emit light (that is, electromagnetic radiation) at certain discrete frequencies.

To overcome the problems of Rutherford's atom, in 1913 Niels Bohr put forth a new model which would correctly describe the energy levels of hydrogen-like atoms.

In 1925, a new kind of mechanics was proposed, quantum mechanics, in which Bohr's model of electrons traveling in quantized orbits was extended into a more accurate model of electron motion. The new theory was proposed by Werner Heisenberg. Another form of the same theory, wave mechanics, was discovered by the famous Austrian physicist Erwin Schrödinger independently, and by different reasoning. Schrödinger employed de Broglie's matter waves, but sought wave solutions of a three-dimensional wave equation describing electrons that were constrained to move about the nucleus of a hydrogen-like atom, by being trapped by the potential of the positive nuclear charge.

Who this course is for
Students who want to understand the mathematics behind the energy spectrum of the hydrogen atom

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/ebe83303a163ffa358a56fa87cead358/12zeq.Derivation.of.the.energy.spectrum.of.the.hydrogen.atom.part1.rar.html
https://rapidgator.net/file/5e15ae7b01f47b0d9d8d137a0264fbdc/12zeq.Derivation.of.the.energy.spectrum.of.the.hydrogen.atom.part2.rar.html

uploadgig_com:
https://uploadgig.com/file/download/b9764774da0afca0/12zeq.Derivation.of.the.energy.spectrum.of.the.hydrogen.atom.part1.rar
https://uploadgig.com/file/download/f3d5166b83f09A38/12zeq.Derivation.of.the.energy.spectrum.of.the.hydrogen.atom.part2.rar

nitroflare_com:
https://nitroflare.com/view/D2146D8C3AE7269/12zeq.Derivation.of.the.energy.spectrum.of.the.hydrogen.atom.part1.rar
https://nitroflare.com/view/652839F0B5F7C56/12zeq.Derivation.of.the.energy.spectrum.of.the.hydrogen.atom.part2.rar

Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 16.06.2021, 09:44

Design patterns have evolved from years of experience in resolving frequently encountered problems when writing object-oriented software. These patterns are templates that provide developers with a blueprint on how to create flexible, easily maintainable applications. Like a building, design patterns can differ in style and form but not in purpose. Their purpose remains the same; to provide a solid structural framework for an application.

Each of the courses included in path will focus on a specific design pattern. By the end of each course, you will understand how the different components of the design pattern work together and how to use them in your own applications by demonstrating real-world practical step-by-step examples written in C#.

BEHAVIORAL
Design Patterns Overview
C# Design Patterns: Strategy
C# Design Patterns: Singleton
C# Design Patterns: Command
C# Design Patterns: Bridge
C# Design Patterns: Null Object
Specification Pattern in C#
C# Design Patterns: State
C# Design Patterns: Data Access Patterns
C# Design Patterns: Mediator
C# Design Patterns: Chain of Responsibility
C# Design Patterns: Template Method
C# Design Patterns: Visitor
C# Design Patterns: Memento
C# Design Patterns: Rules Engine Pattern

CREATIONAL
C# Design Patterns: Builder
C# Design Patterns: Prototype
C# Design Patterns: Factory and Abstract Factory

STRUCTURAL
C# Design Patterns: Facade
C# Design Patterns: Decorator
C# Design Patterns: Composite
C# Design Patterns: Adapter
C# Design Patterns: Flyweight
C# Design Patterns: Proxy

Screenshots

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/9e2f0b631cbe6a6b00b091193cf51463/9qtsn.Design.Patterns.in.C.path.part1.rar.html
https://rapidgator.net/file/8332149b1409ad49c789ecfde8d3a1ff/9qtsn.Design.Patterns.in.C.path.part2.rar.html
https://rapidgator.net/file/162b88b8a59b2e211b4b7bff0a83feaf/9qtsn.Design.Patterns.in.C.path.part3.rar.html

uploadgig_com:
https://uploadgig.com/file/download/48c8E1Eeab8b7647/9qtsn.Design.Patterns.in.C.path.part1.rar
https://uploadgig.com/file/download/1e2076849c50b7Aa/9qtsn.Design.Patterns.in.C.path.part2.rar
https://uploadgig.com/file/download/0E3c50c9D11e6e34/9qtsn.Design.Patterns.in.C.path.part3.rar

nitroflare_com:
https://nitroflare.com/view/E9247710D378C2A/9qtsn.Design.Patterns.in.C.path.part1.rar
https://nitroflare.com/view/2DC86197E6BB982/9qtsn.Design.Patterns.in.C.path.part2.rar
https://nitroflare.com/view/A0E5410CE03C608/9qtsn.Design.Patterns.in.C.path.part3.rar

Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 16.06.2021, 09:46

Instant And Exclusive Access To Some Of The Worlds Best Forex Education That Has Already Helped 1,000's Of Traders Of All Levels (beginner to advanced) From All Parts Of The World Turn Trading Into A Full Time Career.

Complete lessons on everything you will need to know in order to master a great foundation for Forex trading and for the rest of the course material.

Brand new to trading? The Basics Course will give you everything that you need in order to create success in financial markets.

The result? After taking the basics course, you will be able to identify and understand candlesticks and formations that give you an edge over the market. You will be able to spot trends and read market structure levels like a pro.

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/bfb0aa6c881a9c88bfbf3041b242c759/3xtwi.EAP.Training.Program.part1.rar.html
https://rapidgator.net/file/8f18322c254dd156d3563c5a9a2f6c3f/3xtwi.EAP.Training.Program.part2.rar.html

uploadgig_com:
https://uploadgig.com/file/download/aa2294310Dbb0d08/3xtwi.EAP.Training.Program.part1.rar
https://uploadgig.com/file/download/d0F271fb70959bc5/3xtwi.EAP.Training.Program.part2.rar

nitroflare_com:
https://nitroflare.com/view/EF35D4567055777/3xtwi.EAP.Training.Program.part1.rar
https://nitroflare.com/view/E6BFB8D96E2042A/3xtwi.EAP.Training.Program.part2.rar

Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 16.06.2021, 09:48

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 41 lectures (5h 12m) | Size: 2.73 GB

Arm® Cortex M4, Sensors, Actuators, LEDs, Switches, GPIOs, PWM, ADC, LCD, Mbed™ C, STM32401RE Nucleo Board, Embedded

What you'll learn:
Learn Mbed™ C with STM32F401RE Nucleo Board
Develop Embedded Systems with "ARM Cortex M4" powered "STM32" Microcontroller
Interface Sensors and Actuators with GPIOs
Demystify Interrupts
Generate Pulse Width Modulation (PWM)
Analog to Digital Conversion (ADC)
Liquid Crystal Display (LCDs)

Requirements
Able to use PC
STM32 Development Board, Preferably STM32F401RE Nucleo Board

Description
Learn Embedded C with Arm® Cortex M4 Microcontrollers!!

5 Hours of Video Content.

15 Hands-on Practicals

All Codes are available in the resources

Lecture Material (PDF / PPTs) are available in the resources

Description

This course Demystifies the development of Embedded Systems. You will learn Mbed™ C programming to use inbuilt peripherals on the microcontroller to interface sensors, actuators, and Liquid Crystal Displays (LCD). You will learn to generate Pulse Width Modulation (PWM) Waveforms with variable duty cycle and frequency. Learn to use analog to digital converter (ADC) to gather data from analog sensors and display it to LCDs.

All the codes (C Programs) are available in resources along with the lecture material.

Major Topics Covered

GPIOs: Learn to manipulate (Set/Reset) a particular bit of STM32 Microcontroller and also use it as an input pin.

Pull-up Register: Learn the importance of pull-up resistors, enabling and disabling them, also learn to use them in interfacing digital sensors.

Interrupts: Learn, how interrupts are handled in CPU? Also learn to write ISR and call them in an event of an interruption.

Pulse Width Modulation: Learn to generate PWM waves with variable duty cycles and variable frequencies.

Project 1: Learn to interface DC Motor using L293D Motor drive IC and control the speed and direction.

Liquid Crystal Display: Learn to interface LCDs with MCU using GPIOs.

Analog to Digital Converter: Learn to interface analog sensors such as a potentiometer and LM35 Temperature sensor.

Temperature Monitoring System: Learn to interface LM35 temperature sensor IC to read ambient temperature and display the same on LCD.

Who this course is for
Beginners curious to develop Embedded Systems around Microcontroller
Beginners curious to write and test Embedded (Mbed™) C Programs for Hardware

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/2aa8f71b8d8b22f1b0cc08aa2f864405/rfitn.Embedded.Systems.with.Mbed.C.on.STM32.Arm.Cortex.M4.part1.rar.html
https://rapidgator.net/file/ee1b5a65f236f88c30407f1529a18a10/rfitn.Embedded.Systems.with.Mbed.C.on.STM32.Arm.Cortex.M4.part2.rar.html
https://rapidgator.net/file/f0463bfa587ae8cca77976835bc962ab/rfitn.Embedded.Systems.with.Mbed.C.on.STM32.Arm.Cortex.M4.part3.rar.html

uploadgig_com:
https://uploadgig.com/file/download/2a555C7b74e43911/rfitn.Embedded.Systems.with.Mbed.C.on.STM32.Arm.Cortex.M4.part1.rar
https://uploadgig.com/file/download/9d2c9953fBEbe807/rfitn.Embedded.Systems.with.Mbed.C.on.STM32.Arm.Cortex.M4.part2.rar
https://uploadgig.com/file/download/58916b5242Bc55B5/rfitn.Embedded.Systems.with.Mbed.C.on.STM32.Arm.Cortex.M4.part3.rar

nitroflare_com:
https://nitroflare.com/view/4C11C3DFF6864F6/rfitn.Embedded.Systems.with.Mbed.C.on.STM32.Arm.Cortex.M4.part1.rar
https://nitroflare.com/view/BAFB24F0ACBD259/rfitn.Embedded.Systems.with.Mbed.C.on.STM32.Arm.Cortex.M4.part2.rar
https://nitroflare.com/view/FCAD3851E8A5F31/rfitn.Embedded.Systems.with.Mbed.C.on.STM32.Arm.Cortex.M4.part3.rar

Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 16.06.2021, 09:50

Streamline your UX design process. Learn how to use Figma to organize your teams, build your designs, and distribute them for review by nontechnical stakeholders. In this course instructor Tom Green shows how Figma features can help you create a central hub for your entire team to collaborate and conceptualize designs. He starts with an overview of the UX design process and shows how to create and manage teams in Figma. Next, learn how to conduct and report on your user research in Figma, including personas, journey maps, touchpoints, and user flows. Then find out how to conceptualize your design using tools like FigJam, the Figma whiteboard app; wireframes; and even paper sketches. Tom then shows how to turn your wireframe into a functional mockup and add interactivity. In the final chapters, he shows how to conduct user testing to validate your design and share and hand off your project.

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/f3aa556112e7c816a08e3036c5769331/oveln.Figma.Teams.Stakeholders.and.Design.Reviews.rar.html

uploadgig_com:
https://uploadgig.com/file/download/787d37b8999d8f99/oveln.Figma.Teams.Stakeholders.and.Design.Reviews.rar

nitroflare_com:
https://nitroflare.com/view/5CBF607576E275D/oveln.Figma.Teams.Stakeholders.and.Design.Reviews.rar

Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 16.06.2021, 09:52

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 41 lectures (1h 7m) | Size: 220.1 MB

Everything of fire alarm system from fire alarm panels, detectors, modules, battery requirement with NFPA guidelines

What you'll learn:
Everything of fire alarm systems like basics of fire alarm system, fire alarm panel, repeater panels, detectors, modules and lot more with NFPA guideliness

Requirements
Willing to learn and presence of mind

Description
Hi there! My name is Nilesh & I'm a professional fire alarm engineer active since last 11 years in fire alarm industry. I'm here to help you learn fire alarm system efficiently and comprehensively

After completing this course, students will have a solid knowledge of the fundamentals of fire alarm system and how it functions

The purpose of this course is to learn and know about the fire alarm system which covers basics to in depth knowledge of the fire alarm system.

Below major topics are covered in this course:

What is fire alarm system and how it works ?

Types of fire alarm systems ?

Basic fire alarm terminologies and definitions

Types of fire alarm circuits and pathways

Fire alarm panel and components

Fire alarm detectors and modules

How to choose location to install detectors ?

What is notification appliance and their applications ?

What is ceiling void detector ?

What is beam detector and it types ?

What is interface unit module ?

What is manual pull station / manual call points ?

What is SLC loop card ?

Repeater panels or Remote annuciators

Types of repeater panels or remote annuciators

Types of fire alarm cables

Elevator interface with building fire alarm system

Stairwell pressurization interface with building fire alarm system

Access control system interface with building fire alarm system

And many more...........

At the end of the course, students will be confident about their knowledge in fire alarm systems and professionals will be refreshes their fire alarm knowledge.

Who this course is for
Anyone who wants to learn about fire alarm system

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/582940cc8ac72a90584822a417bd4a65/yrvel.Fire.alarm.system.with.NFPA.codes.rar.html

uploadgig_com:
https://uploadgig.com/file/download/46d149e1b0a459c3/yrvel.Fire.alarm.system.with.NFPA.codes.rar

nitroflare_com:
https://nitroflare.com/view/E9F23561E2DA9B8/yrvel.Fire.alarm.system.with.NFPA.codes.rar

Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 16.06.2021, 09:53

Video: .MP4, 1280x720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Duration: 4h 8m
Genre: eLearning | Language: English | Size: 580 MB

Front-end developers have significantly more power and autonomy to create full-featured apps as the back-end is being moved more and more into services. In this course, you'll learn how the different parts of the JAMstack fit together, from building apps out of only static assets to handling asynchronous interactions with serverless functions. You'll also set up advanced features like authentication and store and retrieve information from databases, then ship your new site to production!

Many thanks to AlbinoIvan

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/550b23357a20376ac5e9d0fd168b7e2d/l17vf.Frontend.Masters..Introduction.to.the.JAMStack.rar.html

uploadgig_com:
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Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 16.06.2021, 10:16

MP4 | Video: h264, 1280x720 | Audio: AAC, 48000 Hz
Language: English | Size: 941 MB | Duration: 42m

What you'll learn
How to shoot with natural light at home
Setting up your phone hands-free
Getting the right height & tilt to look your best and be influential
Ring light best practice
Multi light set up (basic v pro)
Entry level camera equipment
Microphone comparisons
Quality control tips before shooting
FBI profiling techniques that will help you be influential
Body posture that shows confidence
How your voice can be the biggest gift to your audience
The art of micro expressions
Body language behind the most viral TED talks
Breathing techniques to come across calm, confident and in control
Requirements
Access to a recording device (phone, camera, webcam etc.)
Description
Are you:

Creating your own online course?

Preparing for an online job interview?

Wanting to be more engaging on zoom calls?

Looking to press publish on social media (Tiktok, Instagram, Youtube...)

& want people to actually listen to what you have to say?

I'm sure your message is valuable, however, our primal brands concentrate on body language before words.

A Stanford study even suggested that words only accounted for 7% of our trust evaluation - the other 93%? Body language and vocal delivery.

My name is Jason and I am an international model and actor.

While I thoroughly enjoy being in front of the camera now, it wasn't always the case.

My first casting I had an anxiety attack (& it wasn't the last).

I often struggled as a kid to be heard & when I did it always felt like no one would give me the time to finish my story.

This is the toolkit I have developed that has enabled me not to only reach international success in tv and cinema, but also transferred it into my private life - the rewards of charisma and influence.

In this course I show you how to firstly look your best on camera with a step by step home studio set-up:

Working with natural light

Setting up your background

Some tricks if you don't have a tripod

Best practices for using a ring light

Options if you have a couple of lights at home (e.g. a lamp)

A 3 point + light set up if you are interesting in extra equipment

Microphone examples

Entry-level camera example

Pre-performance quality control suggestions

In section 2, I'll show you step by step the body language techniques you can use to persuade your audience that not only are you confident but that your message is valuable, including:

FBI lie detection techniques you can use in your favour

Facial cues that provide confidence

Being aware of inferior body movements

What body language most correlated with TED talk views

Harnessing micro-expressions to tell macro stories

Recognising that pace and tonality is your gift to your audience

This is what turned my life experience around, I am sure it will help you too.

Jas

Who this course is for:
Professionals working from home
Instructors building an online course
Content creators on social media
Job seeking interviewing remote

Screenshots

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/c725d5414c98485e1baa5f3e24975c6a/krm99.How.to.SelfTape.a.Video.at.Home.Charisma..Influence.rar.html

uploadgig_com:
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nitroflare_com:
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Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 16.06.2021, 10:17

MP4 | Video: h264, 1280x720 | Audio: AAC, 48000 Hz
Language: English | Size: 1.04 GB | Duration: 1h 39m

What you'll learn
In this course you will learn about the sectors like Time Management, communication, work ethic, leadership, personal responsibility, and listening.
We will make sure to make you more likely to be attentive
It enables you to fit in/at a workplace.
We help you improvise your personality, attitude, flexibility, motivation, and manners.
Soft skills are so important that they are often the reason employers decide whether to keep or promote an employee.
But if you are one of the members who takes up our course then you need not worry about it that all!
Requirements
This course is made to improve you in every sector, so need not look about the perquisites but make sure you take this course for your best.
Description
Our course looks after the sectors like communication, work ethic, leadership, personal responsibility, and listening.

We will make sure to make you more likely to be attentive.

Adding these elements into your lessons can change your personality which every job employee would find for.

This course enables students to adjust to the frustrations and challenges they will encounter in their adult life, as well as the demands of work.

Mastering soft skills help students learn, live, and work better.

You will also likely need to be a good listener. Employers want employees who can not only communicate their own ideas but who also listen empathetically to others. So our course helps you in improving your communication skills.

No matter what the job, employers want candidates who can analyze situations and make informed decisions. Whether you are working with data, teaching students, or fixing a home heating system, you need to be able to understand problems, think critically, and devise solutions. This is looked after by us in our course.

Most employers will want to know that you have the ability to make decisions when push comes to shove and can manage situations and people. This leadership quality will be incorporated into our course.

Employers are always seeking people who will bring a positive attitude to the office. They want employees who will be friendly to others, eager to work, and generally a pleasure to be around. This positive attitude will be taught to you by the course.

Who this course is for:
This course focuses on the students who want to become a better version of themselves by looking at their soft skills
This course is for the students who wants to get better jobs by improving their overall personality.
The students who want to fit in jobs and have better job opportunity for themselves.
The students who want to be perfect in decision making
The students who want to adjust to the frustrations and challenges they will encounter in their adult life, as well as the demands of work.

Screenshots

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/e1ee840caebe8dec0724445f278ac349/80bqm.Improve.Presentation.SkillsTeam.ManagementTime.management.part1.rar.html
https://rapidgator.net/file/68dea8a6e1e2ffed14f212fca847e425/80bqm.Improve.Presentation.SkillsTeam.ManagementTime.management.part2.rar.html

uploadgig_com:
https://uploadgig.com/file/download/b4Cf18732b34ec1e/80bqm.Improve.Presentation.SkillsTeam.ManagementTime.management.part1.rar
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nitroflare_com:
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Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 16.06.2021, 10:18

MP4 | Video: h264, 1280x720 | Audio: AAC, 48000 Hz
Language: English | Size: 218 MB | Duration: 23m

In this class we will breakdown:

How a blockchain works
Explain the concepts using a supply chain chain example
Walk through code at a high level (code file is attached for you to follow along)
In the end you will have a good understanding of how block chain works and build your very own blockchain in python
Note: A basic understanding of python is required.

Screenshots

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/af0d03371baae5da59e663cf812d6240/uo8f4.Introduction.to.Block.Chain.with.Python.rar.html

uploadgig_com:
https://uploadgig.com/file/download/9752a1faD5c1c2eE/uo8f4.Introduction.to.Block.Chain.with.Python.rar

nitroflare_com:
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Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 16.06.2021, 10:19

Video: .MP4, 1280x720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Duration: 3h 56m
Genre: eLearning | Language: English | Size: 615 MB

Next.js is a complete full-stack framework built on top of React.js. You can use Next.js to create static sites like blogs and documentation websites to even full-blown, full-stack applications, and APIs. In this course, you'll learn server-side rendering, static site generation, data fetching, build API endpoints, creating pages with the file system, add CSS modules inside of Next.js, and much more!

Many thanks to AlbinoIvan

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/c054313fee46719307986257b42396e6/tysf9.Introduction.to.Next.js.rar.html

uploadgig_com:
https://uploadgig.com/file/download/ff9d3e3e1890Cecd/tysf9.Introduction.to.Next.js.rar

nitroflare_com:
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Links are Interchangeable - No Password - Single Extraction