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GitLab - Gestione di base, CI/CD, Pipeline e tanto altro

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GitLab - Gestione di base, CI/CD, Pipeline e tanto altro

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Con questo corso imparerai ad utilizzare le principali funzionalità messe a disposizione da GitLab, come ad esempio la creazione di progetti, la gestione delle issue, la gestione delle utenze, la creazione della documentazione e tanto altro ancora.Inoltre verrà analizzato in dettaglio il modulo CI/CD per applicare i concetti di DevOps e realizzare le tue pipeline

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Telecom Management Network Model
Udemy
Telecom39 total mins

Telecom Management Network Model

Network Management is a part of Operations Support Systems, or O S S, that is used to monitor, measure and optimize the performance of a telecom network. It involves activities like: Monitoring devices in the network Provisioning of services Diagnosing networking problems Planning for optimum network performance Detecting security breaches Assessing the impact of planned network maintenance ITU-T defined Telecom Management Network model (TMN) as a protocol for management of open-systems in any telecom network. TMN is a support network that interfaces the telecom networks, to provide means for transporting and processing operations, administration, maintenance, provisioning and management information. It basically provides a framework, for achieving interconnectivity and communication across heterogeneous operation systems, and telecommunications networks. The course includes details on F CAPS which plays a key role in any telecommunication network. These management functions help in management of network, for deriving optimum performance. Shortly, F → Fault Management C → Configuration Management A → Accounting Management P → Performance Management S → Security Management The course includes Southbound and Northbound interfaces. The Southbound Interfaces, or SB eyes are those that help the Network Management Systems connect to the Network Elements, and manage them. Its main objective is to provide communication, and management between the network's SDN controller, and physical or virtual switches and routers. The Northbound Interfaces, or NB eyes are those that help the Network Management Systems, connect to OSS systems. They are used to enable Alarm, Performance, Inventory, Provisioning, Configuration, and Securi

4.4/ 5
39 total mins
Oracle Certification 2024: OCP SE17 Developper 1z0-829 Part1
Udemy
1Z0-829: Oracle Certified Professional: Java SE 17 Developer278 questions

Oracle Certification 2024: OCP SE17 Developper 1z0-829 Part1

THE OCP EXAM TOPICS COVERED IN THIS PRACTICE TEST INCLUDE THE FOLLOWING:Working with Streams and Lambda ExpressionsUse Java object and primitive Streams, including lambda expressions implementing functional interfaces, to supply, filter, map, consume, and sort data.Perform decomposition, concatenation, reduction, and grouping and partitioning on sequential and parallel streams.Packaging and Deploying Java Code and Use of the Java Platform Module SystemDefine modules and their dependencies, expose module content including for reflection.Define services, producers, and consumers.Compile Java code, produce modular and non-modular jars, runtime images, and implement migration using unnamed and automatic modules.Managing Concurrent Code ExecutionCreate worker threads using Runnable and Callable, manage the thread lifecycle, including automations provided by different Executor services and concurrent API.Develop thread-safe code using different locking mechanisms and concurrent API.Process Java collections concurrently, including the use of parallel streams.Using Java I/O APIRead and write console and file data using I/O Streams.Serialize and deserialize Java objects.Create, traverse, read, and write Path objects and their properties using java.nio.file API.Accessing Databases Using JDBCCreate connections, create and execute basic, prepared, and callable statements.Process query results and control transactions using JDBC API.

5.0/ 5
278 questions
Performance Tuning Deep Learning Models Master Class
Udemy
Data Science5 total hours

Performance Tuning Deep Learning Models Master Class

** Mike's courses are popular with many of our clients." Josh Gordon, Developer Advocate, Google **Great course to see the impacts of model inputs, such as the quantity of epochs, batch size, hidden layers, and nodes, on the accuracy of the results. - KevinBest course on neural network tuning I've taken thus far. -Jazon SamillanoVery nice explanation. - MohammadWelcome to Performance Tuning Deep Learning Models Master Class.Deep learning neural networks have become easy to create. However, tuning these models for maximum performance remains something of a challenge for most modelers. This course will teach you how to get results as a machine learning practitioner. This is a step-by-step course in getting the most out of deep learning models on your own predictive modeling projects. My name is Mike West and I'm a machine learning engineer in the applied space. I've worked or consulted with over 50 companies and just finished a project with Microsoft. I've published over 50 courses and this is 53 on Udemy. If you're interested in learning what the real-world is really like then you're in good hands.This course was designed around three main activities for getting better results with deep learning models: better or faster learning, better generalization to new data, and better predictions when using final models.Who is this course for? This course is for developers, machine learning engineers and data scientists that want to enhance the performance of their deep learning models. This is an intermediate level to advanced level course. It's highly recommended the learner be proficient with Python, Keras and machine learning. What are you going to Learn? An introduction to the problem of overfitting and a tour of regularization techniquesAccelerate learning through better configure

4.4/ 5
5 total hours
70-532: Azure Developer Exam 2018
Udemy
Microsoft Azure

70-532: Azure Developer Exam 2018

NOTE: 70-532 exam is no longer available from Microsoft. This course was recorded in 2017 and 2018, and may be out of date in some parts. This course will not be updated. Complete preparation for 70-532 Azure Developer exam.Welcome to this course.Microsoft Azure is a skill in high demand in today's large business marketplace.If you're a developer, you know as well as I do that change is always happening. It's not possible for all of us to be up-to-date on every piece of new technology out there, but this is not one of those times. Cloud-hosting has changed the way all applications are developed—from websites, to web applications, to mobile apps, and traditional backend applications as well. The rapid adoption of the cloud has touched everything. The next time your resume is on someone's desk—be it a promotion at work or a new job opportunity—you cannot afford to have such an obvious gap in knowledge. Can you imagine being a front-end web developer today and not being able to talk about mobile-first or responsive design? Industry trends show that developing applications that have cloud-hosted components is becoming the in-demand skill of tomorrow. Having Azure skills on your resume will only help you get in front of more hiring managers, and land more jobs.This course goes through all of the requirements of the Microsoft exam 70-532 Developing Microsoft Azure Solutions exam. While other online resources cover bits and pieces of the topic, I can confidently say this course goes deep on everything you need to know for this exam. Multiple videos are devoted to each sub-objective, and this course also includes a full sample test so you can see how ready you are to take the real test.If you don't have much previous exposure to Azure, this course will cover each core section in detail. If you ARE already an expert at many Azure topics, you can easily skip the sections that you already know and focus on the sections that are new to you. This Azur

Foundations of Cybersecurity by TechKnowSurge
Udemy
Cybersecurity9 total hours

Foundations of Cybersecurity by TechKnowSurge

In this comprehensive course, participants will delve into the fundamental principles and practices of cybersecurity, equipping themselves with the knowledge and skills needed to defend digital systems and data against cyber threats. Through a structured curriculum, participants will explore the core concepts of cybersecurity, including threat identification, vulnerability assessment, and attack mitigation strategies. The course will cover essential topics such as risk management, access control mechanisms, encryption techniques, and identity and access management (IAM).Throughout the program, participants will gain a deep understanding of the cybersecurity landscape, learning to recognize and address potential risks that could compromise the confidentiality, integrity, and availability of information. They will explore real-world case studies and scenarios to apply theoretical knowledge to practical situations, developing critical thinking and problem-solving skills essential for effective cybersecurity practices.Key components of the course include:Understanding the nature of cyber threats, vulnerabilities, and attacks.Implementing risk management strategies to prioritize and mitigate potential risks.Utilizing access control mechanisms to control and monitor access to digital resources.Employing encryption techniques to protect sensitive data from unauthorized access or tampering.Managing digital identities and access privileges through identity and access management (IAM) solutions.By the end of this course, participants will emerge with a solid foundation in cybersecurity principles and best practices, prepared to contribute to the security posture of their organizations and navigate the evolving cybersecurity landscape with confidence.Explore the Mysteries of CybersecurityMaster Needed Cybersecurity Knowledge and Skills for

4.7/ 5
9 total hours
Robot Operating System (ROS) with Arduino
Udemy
Robot Operating System (ROS)3.5 total hours

Robot Operating System (ROS) with Arduino

Unleash Arduino Hardware Superpower with Robot Operating System Algorithms and move Arduino Coding to the Next LevelLearn about ROS, or Robot Operating System, a popular open-source middleware used in robotics!Arduino boards are used to build small robots and have simple logic defined control. But with limited onboard computational power and software, often developers are unable to graduate to more complex robots. Often, as builders become more experienced, they look for robotics-specific software, as Arduino offers only part of the control.Why you should take this course?Learn how to create robot algorithms using the Robot Operating System (ROS)Gain the skills to use ROS's powerful features for your own robotics projectLearn how to integrate multiple sensor inputs and actuators with ArduinoDiscover the language of C++, which is essential for building complex control systems for robotsThis Course introduces a middleware software framework Robot Operating System (ROS) and walks you through the setup and use of ROS with Arduino to create more intelligent robotic systems.Robot Operating System (ROS) is one of the most popular and widely used robotics middleware software frameworks. It is an open-source platform that helps makers and developers alike to get started with robotics software without reinventing the wheel. ROS provides a standard communication architecture for seamless integration, use, development, and deployment of different components of a robotic system including control, perception, planning, and more. It is a language-agnostic platform with cross-platform communication support for different machines regardless of their site of deployment.Probably the most used open-source microcontroller development board, Arduino offers an easy-to-use software-hardware interface and an ever-expandin

3.6/ 5
3.5 total hours