Azure AI Fundamentals | AI-900 Practice Tests 2026

This course on ISO/IEC 42001 Certification in AI Management system provides a thorough understanding of the emerging standard for AI management systems and the importance of AI governance in ensuring responsible and ethical AI deployment. The course covers all critical aspects of AI governance, including the development of ethical AI policies, risk management, compliance with global regulations, and continuous monitoring of AI systems to minimize risks and enhance transparency.The course begins with an Introduction to ISO/IEC 42001 and AI Governance, exploring its history, purpose, key stakeholders, and the significance of AI governance in addressing ethical, regulatory, and operational challenges. The next section focuses on the Key Components of AI Governance in ISO/IEC 42001, emphasizing the creation of a structured governance framework, defining ethical values, and establishing transparency and accountability within AI systems.The course then delves into Legal, Ethical, and Regulatory Compliance in AI, covering global regulations such as GDPR, and how these impact AI governance practices. Participants will gain practical knowledge on Implementation of ISO/IEC 42001 in Organizations, learning steps to establish governance models, engage stakeholders, and develop internal policies for AI use. Following that, the course covers AI System Management and Controls, focusing on data governance, testing, security, and continuous monitoring of AI models to ensure performance and reliability.In the section on Ethical AI Design and Responsible AI Innovation, the course addresses human oversight, mitigating unintended consequences, and promoting fairness and innovation in AI systems. It also includes Case Studies and Best Practices in AI Governance, featuring examples from leading organizations that have successfully implemented AI governance frameworks. Finally, t

In this course, you will learn how to create HVAC, Plumbing and Electrical systems. The course will show you how to Link Revit models from other disciplines. You will learn how to create Spaces and Zones, then make the energy analysis. The course will show you how to create the MEP systems, manually and automatically. You will learn how to annotate, tag, detail, your model, along with creating and printing sheets. Other advanced topics will be discussed in the course like creating several types of schedules. Finally you will see how to deal with worksharing in Revit. This course is built over exercises. You will have two sets of files: PDF files which carries instructions, and RVT files which will be your starting point for each topic. At the end of each video, you will be instructed to open a certain file to practice what you learned.

Mengenal Bahasa Pemrograman RMengutip situs resminya, R adalah sebuah programming language alias bahasa pemrograman.Ia digunakan untuk komputasi statistik dan grafik. Glints sudah sempat menyinggung hal ini di atas.Kata Geeks for Geeks, bahasa ini merupakan pengembangan dari bahasa S. R sendiri didesain oleh dua tokoh dari University of Auckland, yakni Ross Ihaka and Robert Gentleman.Nah, dunia tempatnya digunakan, yakni data, tengah berkembang pesat. Ternyata, R sendiri juga mengalami hal yang sama.Mengutip TechRepublic, per Agustus 2020, ia menduduki posisi 8 dalam daftar 10 besar bahasa pemrograman. Sistem skor bahasa ini dimiliki oleh komunitas programming, TIOBE.Ia tak sekadar populer saja, lho. Mengutip Guru99, bahasa R bisa digunakan untuk implementasi algoritma machine learning.Kata Career Karma, R juga ramah dengan data science. Ia bisa pula digunakan untuk mengolah big data.Terlebih lagi, ia juga bisa berkomunikasi dengan bahasa lainnya. Bahasa lain itu misalnya Phyton, Java, atau C++.Melansir Edureka, ada 5 jenis data utama yang ada di bahasa ini. Jenis-jenis data itu adalah:daftarvektorarraymatriksdataframetibblefactorKelebihan RKata siapa barang berkualitas bagus harus mahal? R adalah salah satu programming language yang membuktikan bahwa hal itu salah.Bahasa R menawarkan kemampuan analisis data yang canggih. Padahal, kata Tech Target, ia bersifat gratis.Terlebih lagi, bahasa ini sudah cukup “dewasa”. Ia punya banyak pengguna, hingga ada banyak komunitas yang terus mengembangkannya.Fitur visualisasi datanya juga tak asal dibuat saja. Mengutip Fast Company, fitur itu relatif berkualitas dan mampu menghasilkan grafik yang cantik.Melansir Career Karma, baha

A warm welcome to the Assembly Language using ATMEL AVR Microcontroller course by Uplatz.The Atmel AVR instruction set is essentially the machine language for the Atmel AVR, a modified Harvard architecture 8-bit RISC single chip microcontroller which was developed by Atmel in 1996. The AVR was one of the first microcontroller families to use on-chip flash memory for program storage. AVRs are popular in the electronics and embedded engineering industry. The number of devices used might not be as much as the ARMs or the 8051s because the architecture is just limited to the AVRs. If you go to 8051 or ARM, in most cases you can even change the manufacturer of the chip and reuse most of the code that you have already developed.The AVR Enhanced RISC microcontroller supports powerful and efficient addressing modes for access to the Program memory (Flash) and Data memory (SRAM, Register file, I/O Memory, and Extended I/O Memory).Microcontrollers are nothing but chips (ICs) that are found everywhere for e.g. in microwaves ovens, new appliances, automobiles, televisions, etc. These microcontrollers control and sense the surrounding electronics and environment. For example, microcontrollers can provide output to a display, motor, LEDS, etc., sensing the environment, such as tilt using an accelerometer, light, angular velocity using a MEMS (Microelectromechanical System) gyroscope, sound, encoders for movement, temperature, and button or keyboard input.Specifically, the AVR Atmega32 microcontroller is considered to be a computer on a chip. The microcontroller is able to execute a set of instructions in the form of a program. One example of the use of the analog to digital conversion would be for sensing the temperature. A component that converts temperature to a level of voltage called a thermistor to one of the Port A pins and the microcontroller will convert this voltage to a number from 0 to 255. The pr

Docker Certified Associate (DCA) certification is designed for professionals seeking to validate their skills and knowledge in containerization using Docker. This certification is especially relevant for DevOps engineers, system administrators, software developers, and IT professionals who work with Docker in production environments. By earning the DCA credential, individuals demonstrate a fundamental understanding of Docker's core components and the ability to use Docker technology effectively to develop and deploy containerized applications.The DCA exam evaluates candidates on various aspects of Docker and containerization. These include image creation, orchestration, security, storage, networking, and the configuration of Docker environments. It also tests familiarity with Docker Enterprise Edition features and practices used in modern container-based application lifecycle management. Candidates are expected to have hands-on experience and a working knowledge of how Docker fits into a DevOps or CI/CD pipeline.One of the key competencies assessed in the DCA certification is the ability to create and manage Docker images. Candidates must understand Dockerfile syntax, image layering, and versioning. They should be capable of optimizing images to ensure they are efficient and secure. In addition, the exam covers how to work with Docker registries, including pushing and pulling images from Docker Hub or private registries, and managing image storage.Orchestration is another major focus area, particularly involving Docker Swarm. Candidates are expected to demonstrate their knowledge of initializing a swarm, deploying services, scaling containers, and managing swarm nodes. While Kubernetes is a popular orchestration tool, the DCA exam primarily focuses on Docker’s native orchestration system. This knowledge is crucial for managing clusters and ensuring high availability of applications in production environments.Security and networking are critical domains within the DCA exam. Candidate

This course gives you the tools to create hybrid hardware-software systems using Python and Arduino. Learn to send commands from Python to control hardware components, and receive live data from sensors back to your desktop. Build reliable serial interfaces, automate physical processes, and create Python-powered monitoring tools.What You Will LearnEstablish Serial CommunicationSet up and manage two-way data exchange between Arduino and Python using the pySerial library.Control Arduino Hardware from PythonTrigger actions like LEDs, motors, or relays through Python scripts via serial commands.Receive and Process Sensor DataCapture live sensor input from Arduino and use Python to log, analyze, or act on it.Design Custom Communication ProtocolsBuild your own serial message formats to structure commands and responses between devices.Develop Automation Scripts in PythonCreate logic-based Python applications that monitor Arduino status and react in real time.Real Projects You’ll BuildPython-driven relay and LED controllerArduino sensor reader with Python-based dashboardTemperature logger with timestamped data exportEvent-trigger system where Python scripts control physical outputsWho Should EnrollArduino learners wanting to expand into Python integrationPython developers building interactive hardware interfacesTechnologists working on PC-connected sensors and automationSTEM students developing custom tools for labs, experiments, or automationCourse RequirementsArduino Uno or compatible boardBasic experience with Python scripting<