Tools in Programming Courses Online

Live Instructor Led Online Training Tools in Programming courses is delivered using an interactive remote desktop! .

During the course each participant will be able to perform Tools in Programming exercises on their remote desktop provided by Qwikcourse.


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Select among the courses listed in the category that really interests you.

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Tools in Programming Training


Fundamentals of R Training Program

About

R Training Using Company Data

This training on R uses company data to better learn how R can be used at the company.

I. Content

There are 7 lessons in this training, and 3 problem sets to be completed after the training.

A. Lessons

During lessions, notes are reviewed and the remaining time is used to work on 3 exercises. Solutions to the exercises are handed out at the end of the session. Below times are for groups with no prior R/programming experience. (Times for groups with prior R/programming experience will be about 45 min to an hour less.)

  1. Intro to R (2 hours)
  2. Base R (2 hours) -- includes data extraction (Vertica and flat files) and combining dataframes
  3. dplyr (3 hours) -- data manipulation with dplyr
  4. ggplot2 (3 hours) -- data visualization with ggplot2
  5. Other Packages for Data Processing (3 hours) -- brief introductions to data.table, reshape2, and stringr
  6. R Markdown (2 hours) -- reproducible, formatted analysis
  7. Company R Package (2 hours) -- using the company R package to query databases, format graphs, generate PowerPoints and send emails

    B. Problem Sets (not included here)


7 hours

¥287,598

Know Watson Mini Hack Training

About

Watson Mini Hack Training

This project is used to support Watson training sessions at various clients conducted by IBM Developer Advocates. Because this is a public repo, it contains no client specific information. Note however that the content may be updated over time to support different training sessions. It is therefore recommended that you clone the project at the time of your training session so the material will match the agenda of your session.

Watson Services Guide for Developers

The Watson Services Guide for Developers is a summary of the information presented at the training session. It contains links to relevant information and resources and has a one page summary of each Watson API.

Labs

These are the instructions and all supporting files for the hands-on-lab exercises. The hands on lab exercises are:

Lab 1 - Watson Assistant (formerly Watson Conversation)

In this lab, you will familiarize yourself with the Watson Assistant service tooling by developing a chatbot from scratch and then extending an existing chatbot. Follow the instructions at the link below to complete the lab.

Lab 2 - Watson Visual Recognition


7 hours

¥287,598

Know Antinex Datasets

About

Datasets for Training Defensive Neural Networks

These are the Anti-Nex datasets for training deep neural networks to defend against network exploits (only web applications added so far). Under the hood these models are trained and tuned using Keras and Tensorflow. These datasets were created by merging datasets recorded from OWASP ZAP attack simulations and multi-user non-attack simulations with Django. Each model has an associated guide for preparing datasets and training models: This is a 75 MB gif I recorded while capturing the non-attack training data by running the multi-user simulation with the capture tools all active inside a single vm (note: from inside imgur, right click on the gif and select Open in video in new tab to make it larger to read the text):


7 hours

¥287,598

Learn NumberCrunch

About

Number Crunch

Number Crunch is a mental math training program. The program displays three digits with two blanks in between the digits, signifying the missing operators. To the right side of the equals sign is the result. The goal is to type in the first operator followed immediately by the second operator to satisfy the equation.


7 hours

¥287,598

Discover Pixy

About

Pixy is a lightweight application for generating image datasets intended for downstream machine vision applications. With a few image labeling functions, pixy is able to achieve near human accuracy for image turking. 

Requirements

Pixy depends on DeepBox, pycaffe, caffe, snorkel, and vlfeat. Instructions to install each of these libraries can be found online. It is highly recommended to install these libraries on Ubuntu.

TODO:

Automate installation requirements and make a user-abstracted interface


7 hours

¥287,598

Know Simon Sings

About

SIMON SINGS Simon Sings is a fun music and memory training game for the iPhone. Learn to sing, improve your hearing, and train your memory... at the same time! Simon plays a sequence of musical notes that you have to memorize and then repeat by singing, humming or whistling into the iPhone's microphone. With each new round the sequence becomes longer and harder to remember. Start in Beginner mode with only 3 possible notes, move up to Intermediate with 6 notes, and finally become a Maestro by mastering all 12 notes of the musical alphabet.


7 hours

¥287,598

AdventOfCode2018

About

AdventOfCode2018

Advent of Code is an Advent calendar of small programming puzzles for a variety of skill sets and skill levels that can be solved in any programming language you like. People use them as a speed contest, interview prep, company training, university coursework, practice problems, or to challenge each other. These are my Python code examples solving the daily challenges.


7 hours

¥287,598

Learn TorchRecord

About

TorchRecord

TorchRecord can merge the small files including images and labels into one or multiple big record file to improve the copying and reading performance. TorchRecord use LMDB as the storage database. A specific writer and loader can be used to write and read the record.

Reading Performance Benchmark

Dataset: CUB200 datasets(11788 jpg images)

Load Image and transform them to tensor (batch_size: 32)

Env: Intel(R) Xeon(R) CPU E5-2603 0 @ 1.80GHz 4core with 32 GB Mem Conventional: 100%|| 369/369 [00:42


7 hours

¥287,598

Basics of SGD Neural Network

About

Title

Implementation of a fully connected feed-forward neural network using the back propagation algorithm for stochastic batch gradient descent computations. Network size is adoptive and supports MLP.

Features

Activations: softmax, sigmoid
Loss functions: log-likelihood, mean-square, cross-entropy(binary equivalent of log-likelihood) Regularization: L2 Validation - Takes labels and data as input Hyper-parameters: learning-rate(eta), regularization-parameter(lambda), epochs


7 hours

¥287,598

Discover Captcha22

About

About

CAPTCHA22 is a toolset for building, and training, CAPTCHA cracking models using neural networks. These models can then be used to crack CAPTCHAs with a high degree of accuracy. When used in conjunction with other scripts, CAPTCHA22 gives rise to attack automation; subverting the very control that aims to stop it.

Contents

  • Installation

    • Prerequisites

  • Usage: How to crack CAPTCHAs

    • Step 1: Creating training sample data (labelling CAPTCHAs)

    • Step 2: Training a CAPTCHA model

    • Step 3: CAPTCHA Cracking

  • Troubleshooting

  • Contributing

  • License


7 hours

¥287,598

Discover Msgraph Training Dataconnect

About

Microsoft Graph training module - Microsoft Graph data connect

This module introduces you to Microsoft Graph data connect.

Lab - Using Microsoft Graph data connect to analyze to find subject matter experts

In this lab you will use Microsoft Graph data connect to analyze emails from an organization in Office 365 to find subject matter experts on specific topics.


7 hours

¥287,598

Basics of Vs Intellicode

About

Automate code completions tailored to your codebase with IntelliCode Team completions

With this GitHub Action, you can keep your Team completion suggestions up-to-date with your repositorys latest commit by automating the Team completions model training.

Requirements

  • The build agent (MSBUILD, CMAKE) has the minimum required Visual Studio version installed: For C# repositories: Visual Studio 2017 or higher For C++ repositories: Visual Studio 2019 Update 4 or higher.


7 hours

¥287,598

Learn Simulator

About

Simulator

A distributed systems and infrastructure simulator for attacking and debugging Kubernetes: simulator creates a Kubernetes cluster for you in your AWS account; runs scenarios which misconfigure it and/or leave it vulnerable to compromise and trains you in mitigating against these vulnerabilities. For details on why we created this project and our ultimate goals take a look at the vision statement.


7 hours

¥287,598

Explore NSFW Data Scraper

About

This is a set of scripts that allows for an automatic collection of tens of thousands of images for the following (loosely defined) categories to be later used for training an image classifier: Here is what each script (located under scripts directory) does. It is  already ran this script for you, and its outputs are located in raw_data directory. No need to rerun unless you edit files under scripts/source_urls.


7 hours

¥287,598

Fundamentals of Training Noodles

About

Training Noodles

A simple and powerful tool to help training multiple programs on multiple servers with only one human.

Features

  • Automatically deploys experiments to available servers

  • No need to change any existing code

  • Considers CPU usage, GPU usage, memory usage, disk usage, and more

  • Uses only SSH protocol

  • Relies on minimal dependencies

  • Allows fast prototyping


7 hours

¥287,598

Learn ModelZoo.pytorch

About

ModelZoo for Pytorch - this is a model zoo project under Pytorch. In this course, we will implement some of basic classification models which have good performance on ImageNet. Then I will train them in most fair way as possible and try my best to get SOTA model on ImageNet. 

Content

  • Introduction
  • Usage
  • Requirement
  • LMDB Dataset
  • Baseline Models
  • Ablation study on tricks
  • Citation

7 hours

¥287,598

Discover URI

About

URI Online Judge Solutions

Problems solved in the URI Online Judge platform for training in programming contests.

About

These are my solutions to URI Online Judge problems. Whenever possible I will try to add more solutions to this repository. Most problems are solved in C++, but it is also possible to find solutions in Python and Haskell. The URI Online Judge is a project that is being developed by the Computer Science Department of URI University. The main goal of the project is to provide programming practice and knowledge sharing. It contains more than 1,000 problems divided in 8 big categories. This division help the users to focus on specific programming topics. All problems are available in Portuguese and English. The URI Online Judge website also has public contests on a regular basis.


7 hours

¥287,598

Know Constellation Training

About

Constellation Training

graph-focused data visualisation and interactive analysis application enabling data access, federation and manipulation capabilities across large and complex data sets.

Analyst Training

The Analyst Training folder contains a series of self paced exercises you can follow to become fluent with using Constellation starting with the basics of "why graphs?" in exercise 1 and move up all the way up to doing network analysis with Constellation and Python in exercise 10. Answers to exercises are also provided to verify your learning.

  • Exercise 1 - Why Graphs

  • Exercise 2 - Introduction to Constellation

  • Exercise 3 - Histogram View

  • Exercise 4 - Selecting in Constellation

  • Exercise 5 - Putting it Together - Checkpoint

  • Exercise 6 - Map View and Location Data

  • Exercise 7 - Conversation View and Content Data

  • Exercise 8 - Analytic View and Social Network Analysis

  • Exercise 9 - Clustering and Similarity

  • Exercise 10 - Network Analysis With Python If you have any feedback or have questions then feel free to submit an issue to to you. We also welcome any contribution to exercises.

    Developer Training

    Constellation provides significant capability out of the box, it has been designed with extensibility and modularity in mind. There are two prominent ways of extending Constellation, namely through its views or by creating plugins. Views appear as windows in the application and provide visualisation of and interaction with the graph. Plugins perform operations on the graph. In addition, there are several other ways that Constellation can be customised, including defining new attributes or even your own custom graph. This guide will introduce you to the most common ways to customise Constellation in order to solve domain-specific problems. Each chapter will introduce a new concept interspersed with a series of practical exercises. These exercises will


7 hours

¥287,598

Learn Sagemaker Experiments

About

Experiment tracking in SageMaker Training Jobs, Processing Jobs, and Notebooks. Overview SageMaker Experiments is an AWS service for tracking machine learning Experiments. The SageMaker Experiments Python SDK is a high-level interface to this service that helps you track Experiment information using Python. Experiment tracking powers the machine learning integrated development environment Amazon SageMaker Studio. For detailed API reference please go to: Read the Docs Concepts For more information see Amazon SageMaker Experiments - Organize, Track, and Compare Your Machine Learning Trainings_


7 hours

¥287,598

Explore SwiftNNTrainer

About

SwiftNNTrainier is a program for training neural networks using Apples' Metal Performance Shader library. The program allows you to define a data source, create a network topology, and test and/or train the network using that data.

Latest Added Features

  • Importing and exporting some models to/from MLModel files. You can now use SwiftNNTrainer to create mlmodel files for use in other applications.
  • Scaling of 3D View X axis
  • Model parameter counting
  • Labels are now stored as part of the document. This allows labels to be loaded/saved from/to MLModel files
  • Document file version is now 2 - so document files written by this version will not be able to be read by older versions.

7 hours

¥287,598

Basics of Mainframer

About

A tool that executes a command on a remote machine while syncing files back and forth. The process is known as remote execution (in general) and remote build (in particular cases). Mainframer helps to move heavy operations (like compiling the source code) from a personal computer to a dedicated machine. This way you, as a developer, can use your machine for changing the source code or browsing the documentation without constant freezes and hearing jet engine-like sounds caused by the build process. The execution itself is not limited and can be applied to actions like encoding audio and video, batch processing and more. It works via pushing files to the remote machine, executing the command there and pulling results to the local machine. $ mainframer ./gradlew build Sync local remote machine... :build


7 hours

¥287,598

Learn Ml Workspace

About

All-in-one web-based development environment for machine learning

Getting Started Features & Screenshots Support Report a Bug FAQ Known Issues Contribution

The ML workspace is an all-in-one web-based IDE specialized for machine learning and data science. It is simple to deploy and gets you started within minutes to productively built ML solutions on your own machines. This workspace is the ultimate tool for developers preloaded with a variety of popular data science libraries (e.g., Tensorflow, PyTorch, Keras, Sklearn) and dev tools (e.g., Jupyter, VS Code, Tensorboard) perfectly configured, optimized, and integrated.

Highlights


7 hours

¥287,598

Explore Amidst

About

Amidst is a tool to display an overview of a Minecraft world, without actually creating it. Amidst can:

  • render an overview of a world from a given seed and Minecraft version
  • save an image of the map
  • use a save game
  • display biome information
  • display slime chunks
  • display end islands
  • display the following structures
    • world spawn
    • strongholds
    • villages
    • witch huts
    • pillager outposts
    • jungle temples
    • desert temples
    • igloos
    • abandoned mine shafts
    • ocean monuments
    • ocean ruins
    • shipwrecks
    • buried treasures
    • nether fortresses
    • end cities Amidst cannot:
  • display changes that were applied to a save game like
    • changes made by world editors like MCEdit
    • changes made while loading the world in Minecraft
  • find individual blocks or mobs like
    • diamond ore
    • cows

      Amidst has found a new home

      Amidst was moved to a new location, since Skidoodle aka skiphs is too busy to maintain it. It has also found some new developers. One of them is DrFrankenstone, a.k.a. Treer, who is the developer of AmidstExporter. Skidoodle is still an owner of Amidst and agreed to move the project.


7 hours

¥287,598

Learn Free Auto Typer

About

Free auto typer available for download. Very simple to use tool.

The Autosofted Auto Typer is a fully hotkey compatible tool, just like every other Autosofted tool. This is a FREE auto typing program and is probably our simplest program yet. All you have to do type in the message that you want repeated and then set a hotkey to start/stop the message playing.


7 hours

¥287,598

Work around with Free Auto Mouse Clicker

About

Download the free auto mouse clicker program.

The Autosofted Mouse Clicker and Recorder is a FREE auto clicker mouse program which enables you to control where your mouse moves, when to click on something and how often to repeat the whole process. This program can be used to automate all mouse clicks.


7 hours

¥287,598

Explore Pentaho from Hitachi Vantara

About

End to end data integration and analytics platform

Pentaho tightly couples data integration with business analytics in a modern platform that brings together IT and business users to easily access, visualize and explore all data that impacts business results. Use it as a full suit or as individual components that are accessible on-premise in the cloud or on-the-go (mobile). Pentaho Kettle enables IT and developers to access and integrate data from any source, and deliver it to your business applications, all from within an intuitive and easy-to-use graphical tool.


7 hours

¥287,598

Basics of Windows X App Remover

About

Remove Modern UI Apps from Windows Installations or Images

Remove Modern UI (Metro) Apps from Windows. With the Windows X App Remover, you can easily read out which Apps are installed and remove the ones you do not want anymore. -News, 14th December 2015- Version 1.02 is out. Some Apps can't be removed, because Microsoft does not allow them ("System Apps"). This is now correctly handled by the program. 


7 hours

¥287,598


Is learning Tools in Programming hard?


In the field of Tools in Programming learning from a live instructor-led and hand-on training courses would make a big difference as compared with watching a video learning materials. Participants must maintain focus and interact with the trainer for questions and concerns. In Qwikcourse, trainers and participants uses DaDesktop , a cloud desktop environment designed for instructors and students who wish to carry out interactive, hands-on training from distant physical locations.


Is Tools in Programming a good field?


For now, there are tremendous work opportunities for various IT fields. Most of the courses in Tools in Programming is a great source of IT learning with hands-on training and experience which could be a great contribution to your portfolio.



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