Os cursos de treinamento de programação de computadores ao vivo, local e instruídos, demonstram, através da prática interativa, os fundamentos e os tópicos avançados da programação O treinamento de programação está disponível como "treinamento ao vivo no local" ou "treinamento remoto ao vivo" Treinamento ao vivo no local pode ser realizado localmente nas instalações do cliente em Brasil ou nos centros de treinamento corporativo da NobleProg em Brasil O treinamento ao vivo remoto é realizado por meio de uma área de trabalho remota e interativa NobleProg seu provedor de treinamento local.
Machine Translated
Declaração de Clientes
Gostei da maneira de realizar aulas e exercícios realizados. A divisão ideal da teoria e da prática. Uma grande vantagem foi a tradução factual da ambiguidade e respondendo a cada pergunta
Izabela Blezień
Curso: Building Web Apps using the MEAN stack
Machine Translated
A interação e entusiasmo que ele tinha sobre o treinamento.
Richard Burgos
Curso: Design Patterns in PHP
Machine Translated
O novo conteúdo que aprendi.
Victor Cayetano
Curso: Design Patterns in PHP
Machine Translated
Eu principalmente me beneficiei com o exercício.
Jason Wu
Curso: Design Patterns in PHP
Machine Translated
Eu gosto do apoio do treinador e dos tópicos. Eu cheguei com uma mentalidade pensando que isso não seria nada novo que eu não fiz. Mas fiquei surpreso com tudo o que aprendi ao longo deste curso. Obrigado.
Jorgen Ordonez
Curso: Design Patterns in PHP
Machine Translated
É bom ter exercícios práticos após as palestras.
bonnie lee
Curso: AngularJS Good Practices
Machine Translated
Gostei dos exemplos de código e da elaboração.
Antony Ho
Curso: AngularJS Good Practices
Machine Translated
tudo
Rafał Dąbrowski
Curso: Javascript And Ajax
Machine Translated
O instrutor se concentrou nos requisitos de cada pessoa para o curso e ajustou o material para atender às nossas metas.
Daniel Watkins
Curso: Visual Studio with VB.Net
Machine Translated
Eu gostei principalmente de todos os exemplos de código.
Curso: Node.js for JavaScript Developers
Machine Translated
Os exercícios de código foram bons e envolventes.
Curso: Node.js for JavaScript Developers
Machine Translated
Eu estava beneficiado com o hands-on. Muita ajuda. Muito espaço para fazer perguntas e obter respostas.
Abdul Zaheer
Curso: Node.js for JavaScript Developers
Machine Translated
Eu realmente gostei de criar o meio do Connect.
Curso: Node.js for JavaScript Developers
Machine Translated
Exemplos foram relacionáveis.
Yongching Tee
Curso: Node.js for JavaScript Developers
Machine Translated
Eu senti que era a mistura certa de palestra e aplicação prática.
David Jaggie
Curso: Node.js for JavaScript Developers
Machine Translated
Eu preferi o exercício e aprender sobre os cantos e recantos de Python
Connor Brierley-Green
Curso: Python Programming
Machine Translated
Joey tem um entusiasmo contagiante sobre programação. E ele foi muito bom em se adaptar às nossas necessidades e interesses na hora.
Randy Enkin
Curso: Python Programming
Machine Translated
Muitos exemplos me facilitaram a entender.
Lingmin Cao
Curso: Python Programming
Machine Translated
Exemplos e exercícios intercalados com a teoria, todos bem distribuídos
Paweł Wiśniewski
Curso: Perl Programming
Machine Translated
Abordagem individual para participantes treinadores
Łukasz Kamiński
Curso: Perl Programming
Machine Translated
Eu gosto do conceito de Doutrina no Symfony dado pelo treinador. O treinador é mais enérgico e torna as sessões mais interativas. Eu acho que é uma grande capacidade do treinador
Kumaran Chandran
Curso: Web Development with Symfony3
Machine Translated
Gostei da comunicação e conhecimento do treinador no Symfony 3 e tecnologias associadas. Ele havia se esforçado o suficiente para ensinar e demonstrar com alguns exemplos nos respectivos tópicos. Posso dizer que meu conhecimento e nível de confiança do symfony aumentaram após esse treinamento.
Hari Kumar
Curso: Web Development with Symfony3
Machine Translated
Abhinav fez um excelente trabalho! Em quatro dias, ele abordou todos os conceitos importantes que são usados no desenvolvimento de software REAL. Eu sou tão grata por tê-lo como nosso treinador!
Vijay Joseph
Curso: Web Development with Symfony3
Machine Translated
Manejo e conhecimento do professor.
Małgorzata Kręglewska-Stolarska
Curso: Programowanie w ASP.NET MVC 5
Machine Translated
O conhecimento abrangente do guia para todas as nossas perguntas deu respostas esmagadoras minhas expectativas ... O palestrante conduz grandes discussões ... Ele não falta paciência ...
Łukasz Matulewicz
Curso: Programowanie w języku Python
Machine Translated
Grande conhecimento do palestrante, uma variedade de ferramentas e uma abordagem prática do tema
Magdalena Stupak
Curso: Programowanie w języku Python
Machine Translated
grande conhecimento do treinador, como traduzir
Renata Cylejowska
Curso: Programowanie w języku Python
Machine Translated
maneira de conduzir
HSBC Service Delivery (Polska) Sp. z o.o.
Curso: Programowanie w języku C++
Machine Translated
C++ problemas de C++ foram imediatamente implementados em computadores pelos participantes do treinamento.
Paweł Musiał
Curso: Programowanie w języku C++
Machine Translated
Organização de conhecimento sobre angulares
Kacper Pawłowski
Curso: Angular JavaScript
Machine Translated
conduzir aulas
Iwona Opałka
Curso: Angular JavaScript
Machine Translated
Abordagem ao participante
Alan Łukowski
Curso: Angular JavaScript
Machine Translated
Abertura do conferencista, conhecimento
Krzysztof Dałek
Curso: Angular JavaScript
Machine Translated
muito exercício
Małgorzata Jasniecka
Curso: Visual Basic for Applications (VBA) w Excel dla analityków
Machine Translated
Possibilidades de praticar todo o conhecimento adquirido durante o treinamento em tarefas adicionais.
Wioleta Kubczak
Curso: Visual Basic for Applications (VBA) w Excel dla analityków
Machine Translated
Interagir com o anfitrião, a oportunidade de fazer perguntas quentes
Grzegorz Ziegert
Curso: Administration with Powershell
Machine Translated
Fato que personalização foi levada a sério.
jurgen linsen
Curso: Python Programming
Machine Translated
prática e instalação e uso de componentes derivados necessários para treinamento (mysql, tomcat etc.)
Grzegorz Winiarski
Curso: Programowanie w języku Java
Machine Translated
forma comunicativa de condução, linguagem simples e compreensível, tradução para efeito A
Agata Wodecka-Barejko
Curso: Programowanie w języku Java
Machine Translated
Como eu era o único participante, o treinamento poderia ser adaptado às minhas necessidades.
Kevin THIERRY
Curso: Web Development with Web2Py
Machine Translated
Comunicação com a vontade do treinador de responder a perguntas.
Michał Rajkowski
Curso: Administracja serwerem GlassFish
Machine Translated
Seu muito bom conhecimento e experiência.
Jérémy Coppe
Curso: Java Programming
Machine Translated
exercícios
Piotr Paprzycki
Curso: Programowanie w języku Java
Machine Translated
Uma abordagem individual para o ouvinte pelo host. Paciência e amplo conhecimento do hospedeiro.
Damian Karbowski
Curso: Programowanie w języku Java
Machine Translated
O treinamento continha muitos exemplos interessantes e bem escolhidos para uso prático.
Piotr Walewski
Curso: Microsoft Office Excel i Visual Basic for Applications (VBA) dla kontrolerów finansowych i audytorów
Machine Translated
a capacidade de resolver seus próprios problemas, dicas de solução
Anna Klonowska
Curso: Programowanie w języku Java
Machine Translated
Sessões ao vivo e ajuste o programa às expectativas
Marek Rodkiewicz
Curso: Java Advanced
Machine Translated
Benchmarking GC
Marek Mrowca
Curso: Java Performance Tuning
Machine Translated
Conhecimento do professor e comparação
Katarzyna Kępka
Curso: Java Performance Tuning
Machine Translated
Ele é um treinador experiente com uma experiência de vida real no tópico que ele estava ensinando. Isso levou o curso a cobrir os tópicos mais importantes que interessam a qualquer desenvolvedor que trabalha no campo, e pequenos detalhes seriam facilmente supervisionados se ele não estivesse trabalhando nessa plataforma. Além disso, ele estava dando o curso usando as versões mais recentes do iOS e do Swift (10 \ 3) e isso é uma grande vantagem em adaptar essa nova tecnologia em pouco tempo.
Abdullah Alaradi - Thiqah Business Services
Curso: iPhone and iPad Development in Swift for iOS 8 and Xcode 6
Machine Translated
Eu gostei principalmente de todos os exemplos de código.
Curso: Node.js for JavaScript Developers
Machine Translated
Os exercícios de código foram bons e envolventes.
Curso: Node.js for JavaScript Developers
Machine Translated
Eu realmente gostei de criar o meio do Connect.
Curso: Node.js for JavaScript Developers
Machine Translated
Nossos Clientes
.png "iberoamericana de hidrocarburos (ihsa)")
.jpg "european southern observatory (eso)")
_ireland.gif "environmental protection agency (epa) ireland")
Programas do curso Programação
Nome do Curso
Duração
Visão geral
Nome do Curso
Duração
Visão geral
21 horas
visão global
Node.js é uma plataforma para criar facilmente aplicativos de rede rápidos e escalonáveis. Aprenda como usar o modelo de E / S sem bloqueio orientado a eventos para criar aplicativos em tempo real que usam muitos dados e que são executados em dispositivos distribuídos. Exploraremos as opções de design que tornam o Node.js exclusivo, como isso altera a forma como os aplicativos são criados e como os sistemas de aplicativos funcionam mais efetivamente nesse modelo. Aprenda a criar códigos modulares robustos, expressivos e claros. Entenda quando usar retornos de chamada, emissores de eventos e fluxos. Use fluxos para manipular facilmente dados que seriam impossíveis de ajustar na memória do aplicativo. Obtenha confiança para lidar com erros de maneira eficaz para garantir a confiabilidade do tempo de execução. O curso tem extensos exercícios de laboratório para reforçar os conceitos e técnicas abordados.
Objetivos
Ao concluir este curso, os alunos serão capazes de:
- Entenda claramente as opções de design de plataforma que levaram o Node.js escolher um loop de eventos e o que isso significa para os aplicativos criados nessa base.
- Entenda os trade-offs únicos presentes na programação orientada a eventos.
- Crie módulos Node.js e expresse modularidade de código em um aplicativo.
- Entenda os principais padrões de controle de fluxo no Node.js e saiba quando é apropriado usar retornos de chamada, emissores de eventos ou fluxos.
- Crie e manipule buffers de forma eficiente.
- Entenda como gerenciar o estado de erro e saiba quando um processo deve sair devido a um erro.
- Crie aplicativos de rede com o Node.js
Node.js é uma plataforma para criar facilmente aplicativos de rede rápidos e escalonáveis. Aprenda como usar o modelo de E / S sem bloqueio orientado a eventos para criar aplicativos em tempo real que usam muitos dados e que são executados em dispositivos distribuídos. Exploraremos as opções de design que tornam o Node.js exclusivo, como isso altera a forma como os aplicativos são criados e como os sistemas de aplicativos funcionam mais efetivamente nesse modelo. Aprenda a criar códigos modulares robustos, expressivos e claros. Entenda quando usar retornos de chamada, emissores de eventos e fluxos. Use fluxos para manipular facilmente dados que seriam impossíveis de ajustar na memória do aplicativo. Obtenha confiança para lidar com erros de maneira eficaz para garantir a confiabilidade do tempo de execução. O curso tem extensos exercícios de laboratório para reforçar os conceitos e técnicas abordados.
Objetivos
Ao concluir este curso, os alunos serão capazes de:
- Entenda claramente as opções de design de plataforma que levaram o Node.js escolher um loop de eventos e o que isso significa para os aplicativos criados nessa base.
- Entenda os trade-offs únicos presentes na programação orientada a eventos.
- Crie módulos Node.js e expresse modularidade de código em um aplicativo.
- Entenda os principais padrões de controle de fluxo no Node.js e saiba quando é apropriado usar retornos de chamada, emissores de eventos ou fluxos.
- Crie e manipule buffers de forma eficiente.
- Entenda como gerenciar o estado de erro e saiba quando um processo deve sair devido a um erro.
- Crie aplicativos de rede com o Node.js
28 horas
Este curso foi concebido para aqueles que desejam aprender a linguagem de programação Python. A ênfase está na linguagem Python, nas bibliotecas principais, bem como na seleção das melhores e mais úteis bibliotecas desenvolvidas pela comunidade Python. Python dirige negócios e é usado por cientistas em todo o mundo - é uma das linguagens de programação mais populares.
O curso pode ser entregue usando Python 2.7.x ou 3.x, com exercícios práticos fazendo uso do poder total de ambas as versões do idioma. Este curso pode ser entregue em qualquer sistema operacional (todos os sabores do UNIX, incluindo Linux e Mac OS X, bem como o Microsoft Windows).
Os exercícios práticos constituem cerca de 70% do tempo do curso e cerca de 30% são demonstrações e apresentações. Podem ser feitas discussões e perguntas ao longo do curso.
Nota: o treinamento pode ser adaptado a necessidades específicas mediante solicitação prévia antes da data do curso proposto.
O curso pode ser entregue usando Python 2.7.x ou 3.x, com exercícios práticos fazendo uso do poder total de ambas as versões do idioma. Este curso pode ser entregue em qualquer sistema operacional (todos os sabores do UNIX, incluindo Linux e Mac OS X, bem como o Microsoft Windows).
Os exercícios práticos constituem cerca de 70% do tempo do curso e cerca de 30% são demonstrações e apresentações. Podem ser feitas discussões e perguntas ao longo do curso.
Nota: o treinamento pode ser adaptado a necessidades específicas mediante solicitação prévia antes da data do curso proposto.
14 horas
JavaScript is a programming language designed for manipulating a web page.
28 horas
In this instructor-led, live training in Brasil, participants will learn advanced Python programming techniques, including how to apply this versatile language to solve problems in areas such as distributed applications, data analysis and visualization, UI programming and maintenance scripting.
21 horas
In this instructor-led, live training in Brasil, participants will learn how to use Python and Spark together to analyze big data as they work on hands-on exercises.
By the end of this training, participants will be able to:
- Learn how to use Spark with Python to analyze Big Data.
- Work on exercises that mimic real world cases.
- Use different tools and techniques for big data analysis using PySpark.
By the end of this training, participants will be able to:
- Learn how to use Spark with Python to analyze Big Data.
- Work on exercises that mimic real world cases.
- Use different tools and techniques for big data analysis using PySpark.
14 horas
This course is designed for those wishing to learn the Python programming language. The emphasis is on the Python language, the core libraries, as well as on the selection of the best and most useful libraries developed by the Python community. Python drives businesses and is used by scientists all over the world – it is one of the most popular programming languages.
35 horas
The training course will help the participants prepare for Web Application Development using Python Programming with Data Analytics. Such data visualization is a great tool for Top Management in decision making.
14 horas
The aim of this course is to provide a basic proficiency in applying Machine Learning methods in practice. Through the use of the Python programming language and its various libraries, and based on a multitude of practical examples this course teaches how to use the most important building blocks of Machine Learning, how to make data modeling decisions, interpret the outputs of the algorithms and validate the results.
Our goal is to give you the skills to understand and use the most fundamental tools from the Machine Learning toolbox confidently and avoid the common pitfalls of Data Sciences applications.
Our goal is to give you the skills to understand and use the most fundamental tools from the Machine Learning toolbox confidently and avoid the common pitfalls of Data Sciences applications.
14 horas
This instructor-led, live training in Brasil is based on the popular book, "Automate the Boring Stuff with Python", by Al Sweigart. It is aimed at beginners and covers essential Python programming concepts through practical, hands-on exercises and discussions. The focus is on learning to write code to dramatically increase office productivity.
By the end of this training, participants will know how to program in Python and apply this new skill for:
- Automating tasks by writing simple Python programs.
- Writing programs that can do text pattern recognition with "regular expressions".
- Programmatically generating and updating Excel spreadsheets.
- Parsing PDFs and Word documents.
- Crawling web sites and pulling information from online sources.
- Writing programs that send out email notifications.
- Use Python's debugging tools to quickly resolve bugs.
- Programmatically controlling the mouse and keyboard to click and type for you.
By the end of this training, participants will know how to program in Python and apply this new skill for:
- Automating tasks by writing simple Python programs.
- Writing programs that can do text pattern recognition with "regular expressions".
- Programmatically generating and updating Excel spreadsheets.
- Parsing PDFs and Word documents.
- Crawling web sites and pulling information from online sources.
- Writing programs that send out email notifications.
- Use Python's debugging tools to quickly resolve bugs.
- Programmatically controlling the mouse and keyboard to click and type for you.
21 horas
In this instructor-led, live training in Brasil, participants will learn the most relevant and cutting-edge machine learning techniques in Python as they build a series of demo applications involving image, music, text, and financial data.
By the end of this training, participants will be able to:
- Implement machine learning algorithms and techniques for solving complex problems.
- Apply deep learning and semi-supervised learning to applications involving image, music, text, and financial data.
- Push Python algorithms to their maximum potential.
- Use libraries and packages such as NumPy and Theano.
By the end of this training, participants will be able to:
- Implement machine learning algorithms and techniques for solving complex problems.
- Apply deep learning and semi-supervised learning to applications involving image, music, text, and financial data.
- Push Python algorithms to their maximum potential.
- Use libraries and packages such as NumPy and Theano.
14 horas
Pandas é um pacote Python que fornece estruturas de dados para trabalhar com dados estruturados (tabulares, multidimensionais, potencialmente heterogêneos) e séries temporais.
21 horas
In this instructor-led, live training in Brasil, participants will learn how to use PyTest to write short, maintainable tests that are elegant, expressive and readable.
By the end of this training, participants will be able to:
- Write readable and maintainable tests without the need for boilerplate code.
- Use the fixture model to write small tests.
- Scale tests up to complex functional testing for applications, packages, and libraries.
- Understand and apply PyTest features such as hooks, assert rewriting and plug-ins.
- Reduce test times by running tests in parallel and across multiple processors.
- Run tests in a continuous integration environment, together with other utilities such as tox, mock, coverage, unittest, doctest and Selenium.
- Use Python to test non-Python applications.
By the end of this training, participants will be able to:
- Write readable and maintainable tests without the need for boilerplate code.
- Use the fixture model to write small tests.
- Scale tests up to complex functional testing for applications, packages, and libraries.
- Understand and apply PyTest features such as hooks, assert rewriting and plug-ins.
- Reduce test times by running tests in parallel and across multiple processors.
- Run tests in a continuous integration environment, together with other utilities such as tox, mock, coverage, unittest, doctest and Selenium.
- Use Python to test non-Python applications.
14 horas
This instructor-led, live training in Brasil (online or onsite) is aimed at data analysts who wish to build analytic applications using Python with Plotly and Dash.
By the end of this training, participants will be able to:
- Set up a real-time interactive dashboard for streaming live updating data.
- Build interactive dashboards using Python for data science solutions.
- Secure interactive dashboards with advanced authentication methods.
By the end of this training, participants will be able to:
- Set up a real-time interactive dashboard for streaming live updating data.
- Build interactive dashboards using Python for data science solutions.
- Secure interactive dashboards with advanced authentication methods.
28 horas
The aim of this course is to provide general proficiency in applying Machine Learning methods in practice. Through the use of the Python programming language and its various libraries, and based on a multitude of practical examples this course teaches how to use the most important building blocks of Machine Learning, how to make data modeling decisions, interpret the outputs of the algorithms and validate the results.
Our goal is to give you the skills to understand and use the most fundamental tools from the Machine Learning toolbox confidently and avoid the common pitfalls of Data Sciences applications.
Our goal is to give you the skills to understand and use the most fundamental tools from the Machine Learning toolbox confidently and avoid the common pitfalls of Data Sciences applications.
28 horas
This instructor-led, live training in Brasil (online or onsite) is aimed at developers who wish to containerize their Java EE 8 applications and run them as microservices in the cloud.
By the end of this training, participants will be able to:
- Build and deploy Java microservices in Docker containers.
- Manage Docker containers using Kubernetes.
- Integrate microservices with an existing monolithic system.
- Monitor, test, and secure microservices.
- Troubleshoot containers and orchestration environments.
By the end of this training, participants will be able to:
- Build and deploy Java microservices in Docker containers.
- Manage Docker containers using Kubernetes.
- Integrate microservices with an existing monolithic system.
- Monitor, test, and secure microservices.
- Troubleshoot containers and orchestration environments.
28 horas
This course introduces linguists or programmers to NLP in Python. During this course we will mostly use nltk.org (Natural Language Tool Kit), but also we will use other libraries relevant and useful for NLP. At the moment we can conduct this course in Python 2.x or Python 3.x. Examples are in English or Mandarin (普通话). Other languages can be also made available if agreed before booking.
35 horas
Python is a programming language that has gained huge popularity in the financial industry. Adopted by the largest investment banks and hedge funds, it is being used to build a wide range of financial applications ranging from core trading programs to risk management systems.
In this instructor-led, live training, participants will learn how to use Python to develop practical applications for solving a number of specific finance related problems.
By the end of this training, participants will be able to:
- Understand the fundamentals of the Python programming language
- Download, install and maintain the best development tools for creating financial applications in Python
- Select and utilize the most suitable Python packages and programming techniques to organize, visualize, and analyze financial data from various sources (CSV, Excel, databases, web, etc.)
- Build applications that solve problems related to asset allocation, risk analysis, investment performance and more
- Troubleshoot, integrate, deploy, and optimize a Python application
Audience
- Developers
- Analysts
- Quants
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- This training aims to provide solutions for some of the principle problems faced by finance professionals. However, if you have a particular topic, tool or technique that you wish to append or elaborate further on, please please contact us to arrange.
In this instructor-led, live training, participants will learn how to use Python to develop practical applications for solving a number of specific finance related problems.
By the end of this training, participants will be able to:
- Understand the fundamentals of the Python programming language
- Download, install and maintain the best development tools for creating financial applications in Python
- Select and utilize the most suitable Python packages and programming techniques to organize, visualize, and analyze financial data from various sources (CSV, Excel, databases, web, etc.)
- Build applications that solve problems related to asset allocation, risk analysis, investment performance and more
- Troubleshoot, integrate, deploy, and optimize a Python application
Audience
- Developers
- Analysts
- Quants
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- This training aims to provide solutions for some of the principle problems faced by finance professionals. However, if you have a particular topic, tool or technique that you wish to append or elaborate further on, please please contact us to arrange.
21 horas
A geographic information system (GIS) is a system designed to capture, store, manipulate, analyze, manage, and present spatial or geographic data. The acronym GIS is sometimes used for geographic information science (GIScience) to refer to the academic discipline that studies geographic information systems and is a large domain within the broader academic discipline of geoinformatics.
The use of Python with GIS has substantially increased over the last two decades, particularly with the introduction of Python 2.0 series in 2000, which included many new programming features that made the language much easier to deploy. Since that time, Python has not only been utilized within commercial GIS such as products by Esri but also open source platforms, including as part of QGIS and GRASS. In fact, Python today is by far the most widely used language by GIS users and programmers.
This program covers the usage of Python and its advance libraries like geopandas, pysal, bokeh and osmnx to implement your own GIS features. The program also covers introductory modules around ArcGIS API, and QGIS toolboox.
The use of Python with GIS has substantially increased over the last two decades, particularly with the introduction of Python 2.0 series in 2000, which included many new programming features that made the language much easier to deploy. Since that time, Python has not only been utilized within commercial GIS such as products by Esri but also open source platforms, including as part of QGIS and GRASS. In fact, Python today is by far the most widely used language by GIS users and programmers.
This program covers the usage of Python and its advance libraries like geopandas, pysal, bokeh and osmnx to implement your own GIS features. The program also covers introductory modules around ArcGIS API, and QGIS toolboox.
35 horas
This is a 5 day introduction to Data Science and Artificial Intelligence (AI).
The course is delivered with examples and exercises using Python
The course is delivered with examples and exercises using Python
28 horas
This is a 4 day course introducing AI and it's application using the Python programming language. There is an option to have an additional day to undertake an AI project on completion of this course.
21 horas
Deep Reinforcement Learning refers to the ability of an "artificial agent" to learn by trial-and-error and rewards-and-punishments. An artificial agent aims to emulate a human's ability to obtain and construct knowledge on its own, directly from raw inputs such as vision. To realize reinforcement learning, deep learning and neural networks are used. Reinforcement learning is different from machine learning and does not rely on supervised and unsupervised learning approaches.
In this instructor-led, live training, participants will learn the fundamentals of Deep Reinforcement Learning as they step through the creation of a Deep Learning Agent.
By the end of this training, participants will be able to:
- Understand the key concepts behind Deep Reinforcement Learning and be able to distinguish it from Machine Learning
- Apply advanced Reinforcement Learning algorithms to solve real-world problems
- Build a Deep Learning Agent
Audience
- Developers
- Data Scientists
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
In this instructor-led, live training, participants will learn the fundamentals of Deep Reinforcement Learning as they step through the creation of a Deep Learning Agent.
By the end of this training, participants will be able to:
- Understand the key concepts behind Deep Reinforcement Learning and be able to distinguish it from Machine Learning
- Apply advanced Reinforcement Learning algorithms to solve real-world problems
- Build a Deep Learning Agent
Audience
- Developers
- Data Scientists
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
14 horas
In this instructor-led, live training in Brasil participants combine the power of Python with Selenium to automate the testing of a sample web application. By combining theory with practice in a live lab environment, participants will gain the knowledge and practice needed to automate their own web testing projects using Python and Selenium.
14 horas
In this instructor-led, live training in Brasil (onsite or remote), participants will learn how to combine the capabilities of Python and Excel.
By the end of this training, participants will be able to:
- Install and configure packages for integrating Python and Excel.
- Read, write, and manipulate Excel files using Python.
- Call Python functions from Excel.
By the end of this training, participants will be able to:
- Install and configure packages for integrating Python and Excel.
- Read, write, and manipulate Excel files using Python.
- Call Python functions from Excel.
14 horas
In this instructor-led, live training in Brasil, participants will learn three different approaches for accessing, analyzing and visualizing data. We start with an introduction to RDMS databases; the focus will be on accessing and querying an Oracle database using the SQL language. Then we look at strategies for accessing an RDMS database programmatically using the Python language. Finally, we look at how to visualize and present data graphically using TIBCO Spotfire.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
7 horas
This instructor-led, live training in Brasil begins with a discussion of BDD and how the Behave framework can be used to carry out BDD testing for web applications. Participants are given ample opportunity to interact with the instructor and peers while implementing the concepts and tactics learned in this hands-on, practice-based lab environment.
By the end of this training, participants will have a firm understanding of BDD and Behave, as well as the necessary practice to implement these techniques and tools in real-world test scenarios.
By the end of this training, participants will have a firm understanding of BDD and Behave, as well as the necessary practice to implement these techniques and tools in real-world test scenarios.
21 horas
This instructor-led, live training in Brasil (online or onsite) is aimed at persons who wish to program a visually attractive software application using Python and the Qt UI framework.
By the end of this training, participants will be able to:
- Set up a development environment that includes all needed libraries, packages and frameworks.
- Create a desktop or server application whose user interface functions smoothly and is visually appealing.
- Implement various UI elements and effects, including widgets, charts, layers, etc. to achieve maximum effect in usability.
- Implement good UI design and code organization during the design and development phase.
- Test and debug the application.
By the end of this training, participants will be able to:
- Set up a development environment that includes all needed libraries, packages and frameworks.
- Create a desktop or server application whose user interface functions smoothly and is visually appealing.
- Implement various UI elements and effects, including widgets, charts, layers, etc. to achieve maximum effect in usability.
- Implement good UI design and code organization during the design and development phase.
- Test and debug the application.
14 horas
This instructor-led, live training in Brasil (online or onsite) is aimed at Matlab users who wish to explore and or transition to Python for data analytics and visualization.
By the end of this training, participants will be able to:
- Install and configure a Python development environment.
- Understand the differences and similarities between Matlab and Python syntax.
- Use Python to obtain insights from various datasets.
- Convert existing Matlab applications to Python.
- Integrate Matlab and Python applications.
By the end of this training, participants will be able to:
- Install and configure a Python development environment.
- Understand the differences and similarities between Matlab and Python syntax.
- Use Python to obtain insights from various datasets.
- Convert existing Matlab applications to Python.
- Integrate Matlab and Python applications.
14 horas
Object-Oriented Programming (OOP) is a programming paradigm based around the concept of objects. OOP is more data-focused rather than logic-focused. Python is a high-level programming language famous for its clear syntax and code readibility.
In this instructor-led, live training, participants will learn how to get started with Object-Oriented Programming using Python.
By the end of this training, participants will be able to:
- Understand the fundamental concepts of Object-Oriented Programming
- Understand the OOP syntax in Python
- Write their own object-oriented program in Python
Audience
- Beginners who would like to learn about Object-Oriented Programming
- Developers interested in learning OOP in Python
- Python programmers interested in learning OOP
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
In this instructor-led, live training, participants will learn how to get started with Object-Oriented Programming using Python.
By the end of this training, participants will be able to:
- Understand the fundamental concepts of Object-Oriented Programming
- Understand the OOP syntax in Python
- Write their own object-oriented program in Python
Audience
- Beginners who would like to learn about Object-Oriented Programming
- Developers interested in learning OOP in Python
- Python programmers interested in learning OOP
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
28 horas
In this instructor-led, live training in Brasil, participants will learn how to implement deep learning models for telecom using Python as they step through the creation of a deep learning credit risk model.
By the end of this training, participants will be able to:
- Understand the fundamental concepts of deep learning.
- Learn the applications and uses of deep learning in telecom.
- Use Python, Keras, and TensorFlow to create deep learning models for telecom.
- Build their own deep learning customer churn prediction model using Python.
By the end of this training, participants will be able to:
- Understand the fundamental concepts of deep learning.
- Learn the applications and uses of deep learning in telecom.
- Use Python, Keras, and TensorFlow to create deep learning models for telecom.
- Build their own deep learning customer churn prediction model using Python.
28 horas
This instructor-led, live training in Brasil (online or onsite) is aimed at persons who wish to learn just enough Python to begin crunching numbers from sales data, traffic analytics, customer interactions, etc..
By the end of this training, participants will be able to:
- Install and configure the necessary software, libraries and development environment to begin writing Python code for data analysis.
- Analyze data from sources such as Excel, CSV, JSON files and databases.
- Clean data to improve its usefulness before analyzing it.
- Perform simple statistical analysis.
- Generate reports that present the desired data in just the right format, from straight numbers to data visualizations.
- Gain valuable insight from data, including trends in performance, problematic areas.
By the end of this training, participants will be able to:
- Install and configure the necessary software, libraries and development environment to begin writing Python code for data analysis.
- Analyze data from sources such as Excel, CSV, JSON files and databases.
- Clean data to improve its usefulness before analyzing it.
- Perform simple statistical analysis.
- Generate reports that present the desired data in just the right format, from straight numbers to data visualizations.
- Gain valuable insight from data, including trends in performance, problematic areas.
Last Updated:
Próximos Cursos de Programação
Vert.x: Build a Reactive Application on JVM
09-02-2022 09:30
14 horas
Functional Reactive Programming with Java 9 and RxJava
14-02-2022 09:30
14 horas
Apache Shiro: Securing Your Java Application
15-02-2022 09:30
7 horas
Reactive Programming with Javascript and ReactiveX
10-03-2022 09:30
14 horas
Reactive Programming with Javascript and RxJS
21-03-2022 09:30
7 horas
Cursos de fim de semana de Programação, Treinamento tardiurno de Programação, Treinamento em grupo de Programação, Programação guiado por instrutor, Treinamento de Programação de fim de semana, Cursos de Programação tardiurnos, coaching de Programação, Instrutor de Programação, Treinador de Programação, Cursos de treinamento de Programação, Aulas de Programação, Programação no local do cliente, Cursos privados de Programação, Treinamento individual de Programação