Vector Databases Deep Dive

This course takes you from minimal or no experience with Azure Virtual Desktop (AVD) to an AVD hero.Course begins with the basics of AVD and move through deploying and managing the AVD environment.Learn Windows Virtual Desktop, the Microsoft remote desktop service hosted in Azure.In this course, you will learn about AVD, Microsoft’s new remote desktop solution hosted in Azure. Azure Virtual Desktop provides the ability to scale remote desktop sessions on-demand with no up-front capital expenses associated with scaling on-premises VDI solutions. This course is a great option for anyone preparing for the AZ-140 Configuring and Operating Windows Virtual Desktop exam.At the end of this Couse, you will be able to deploy and manage an Azure Virtual Desktop ARM Host Pool with a Windows 10 Multi-user OS, publish Remote Desktops and Remote Applications.SECTION 1 - ZERO TO HERO WITH AVD1.1 Course Introduction and About the Training ArchitectSECTION 2 - GETTING STARTED WITH AVD2.1 An introduction to AVD2.2 AVD Versions2.3 Host Pool Types2.4 SummarySECTION 3 - AVD PREREQUISITES3.1 AVD Prerequisites Overview3.2 Active Directory Domain Services Overview3.3 Active Directory and Networking3.4 Azure Lab Costs3.5 AVD Prerequisites SummarySECTION 4 - AVD LAB DEPLOYMENT4.1 AVD LAB Deployment4.2 Add an Azure AD Custom Domain4.3 Create the VNet4.4 Deploy A server in Azure4.5 Configure Windows AD4.6 Install Azure AD Connect and Update VNet DNS4.7 Azure Lab SummarySECTION 5 - AVD PORTAL DEPLOYMENT5.1 AVD Portal Deployment Overview5.2 Workspaces and Resource Groups5.3 Deploy Azure Virtual Desktop5.4 Set Application Group Permissions5.5 Test Logging In5.6 Schedule Deallocation

இந்த பாடத்திட்டத்தில் மாணவர்கள் IoT இன் வரலாறு, அடிப்படைகள் மின்னணு கூறுகள், Arduino நிரலாக்கங்கள் மற்றும் பல சுவாரஸ்யமான திட்டங்களுடன் Arduino உடன் கைகோர்த்துக் கொள்ள முடியும்.In this course students are able to learn about the history of the IoT, basic electronic components, Arduino programming and hands on with Arduino with many interesting projects.Projects Covered:1.)Smart IrrigationSmart irrigation systems tailor watering schedules and run times automatically to meet specific landscape needs. These controllers significantly improve outdoor water use efficiencies.In this course, students will learn how to develop smart irrigation using Arduino boards .ஸ்மார்ட் பாசன அமைப்புகள் நீர்ப்பாசன அட்டவணைகளைத் தக்கவைத்து, குறிப்பிட்ட நிலப்பரப்பு தேவைகளைப் பூர்த்தி செய்ய நேரங்களை தானாக இயக்கும். இந்த கட்டுப்படுத்திகள் வெளிப்புற நீர் பயன்பாட்டு செயல்திறனை கணிசமாக மேம்படுத்துகின்றன.இந்த பாடத்திட்டத்தில், அர்டுயினோ போர்டுகளைப் பயன்படுத்தி ஸ்மார்ட் பாசனத்தை எவ்வாறு உருவாக்குவது என்பதை மாணவர்கள் கற்றுக்கொள்வார்கள் .2.)Fire Gas leakage alertThe fire and gas detection system provides early and reliable detection of fire or gas, where such events are likely to occur, alerts personnel and initiates protective actions automatically or manually upon operator activation.In this course, students will learn how to develop Gas leakage fire detection using Arduino boards .தீ மற்றும் எரிவாயு கண்டறிதல் அமைப்பு தீ அல்லது வாயுவை முன்கூட்டியே மற்றும் நம்பகமான முறையில் கண்டறிவதை வழங்குகிறது, இதுபோன்ற நிகழ்வுகள் ஏற்பட வாய்ப்புள்ளது, பணியாளர்களை எச்சரிக்கிறது மற்றும் ஆபரேட்டர் செயல்படுத்தும்போது தானாகவோ அல்லது கைமுறையாகவோ பாதுகாப்பு நடவடிக்கைகளைத் தொடங்குகிறது.இந்த பாடத்திட்டத்தில், அர்டுயினோ போர்டுகளைப் பயன்படுத்தி எரிவாயு கசிவு மற்றும் தீ கண்டறிதலை எவ்வாறு உருவாக்குவது என்பதை மாணவர்கள் கற்றுக்கொள்வார்கள்.3.)Motion detection alertA motion sensor alarm is a device that uses optical, mi

Do you know that knowledge of SOLID is required and checked in almost every programming interview ?During the course you will work with me on refined, short code examples (written in C#).On top of that you'll get additional materials, containing a summary of solid principles and basic UML diagrams + CODE from whole course.This will help you to refresh and retain the knowledge when it gets a little rusty after some time.By the end of the course:You'll learn how to write properly designed code which will be easy to maintain and fun to work withYou'll know all do's and don'ts when it comes to solid design, so you will be able to recognize bad quality code, and point out it’s problemsAnd of course you will be ready for every interview question regarding solid design principlesEach module consists of a few parts. At first we will get to know what's the definition of the principle.Than I'll show you a real life product design which demonstrates that rule. In each principle we will start with badly designed code, than I'll show you consequences of such design and finally we'll refactor it according to the principle.Not only will we go thought code examples but we will also learn how to draw UML diagrams along the way.The ideal student for this course is a person who knows the basics of object oriented programming.The course will also be beneficial for existing programmers who want to use these principles in their daily work.So if you want to finally understand Solid concept in depth, click the enroll button and I look forward to seeing you on t

Agentic AI Mastery – Learn to Build Autonomous AI Agents Without CodingStep into the future of Artificial Intelligence with Agentic AI Mastery, your ultimate guide to building smart, autonomous AI agents like AutoGPT, LangChain, RAG, FAISS,Chromadb, Crew AI and ReAct — all without writing a single line of code.This course is designed for students, educators, entrepreneurs, tech professionals, and AI enthusiasts who want to understand how Agentic AI is revolutionizing automation, productivity, and intelligent decision-making. Whether you're in business, marketing, research, or just passionate about AI, this course empowers you to create agents that think, act, and solve tasks independently.You will learn:What Agentic AI is and how it differs from traditional AIHow to build and deploy agents using LangChain, RAG, and other leading frameworksHow LLMs (like ChatGPT) power these agents with memory, reasoning, and multi-step executionReal-world use cases across industries such as e-commerce, education, marketing, and personal productivityTools and platforms that support no-code or low-code AI agent developmentNo programming background is required. With simplified walkthroughs, real use cases, and expert insights, you’ll be equipped to join the Agentic AI revolution.Enroll now and unlock the power of intelligent automation!Agentic AI Mastery – Learn to Build Autonomous AI Agents Without CodingStep into the future of Artificial Intelligence with Agentic AI Mastery, your ultimate guide to building smart, autonomous AI agents like AutoGPT, LangChain, BabyAGI, and ReAct — all without writing a single line of c

Embarking on a journey to become a specialist in AI workflow and automation opens the door to a world of transformative potential. This course is distinctively designed to prioritize practice-based learning, offering participants a unique opportunity to engage deeply with the material through rigorous practice tests rather than traditional video lectures. This approach ensures that learners not only understand the theoretical underpinnings of artificial intelligence but also develop the practical skills necessary to implement AI-driven solutions effectively in real-world scenarios. The course begins with an immersive exploration of the theoretical foundations of artificial intelligence. Participants will delve into the algorithms and models that form the backbone of AI systems, gaining essential insights that serve as the cornerstone for understanding how AI can revolutionize business processes. This foundational knowledge is crucial for enhancing efficiency and productivity within modern enterprises and provides a robust framework for analyzing complex data sets. By discerning patterns and making informed decisions, students can drive innovation and strategic growth. As learners progress, they will investigate the strategic integration of AI within organizational workflows. The course emphasizes practical application through comprehensive practice tests, which allow students to conceptualize and design efficient, scalable, and adaptable systems. This hands-on approach is reinforced by case studies that illustrate the transformative impact of AI across various industries. By focusing on workflow analysis and optimization, participants are equipped to align AI strategies with organizational goals, preparing them to become key decision-makers in their respective fields. Ethical considerations and AI governance are integral components of the curriculum, ensuring that students are well-versed in the responsible implementation of AI technologies. The course facilitates a deep understanding of the ba

This comprehensive, self-paced course is designed for software testing professionals, QA engineers, career switchers, and IT students preparing for the ISTQB Certified Tester Foundation Level (CTFL) v4.0 certification exam. The course follows a structured 4-week fast-track study plan that guides you through all core topics of the ISTQB CTFL syllabus with clarity, practical relevance, and exam focus.In this course, you’ll begin by mastering the fundamentals of software testing, including its purpose, principles, and how it integrates into different software development lifecycles—Agile, Waterfall, and DevOps. You’ll explore the test process, including test planning, monitoring, and completion activities, and learn how to define and apply entry and exit criteria, test objectives, and deliverables.As you move forward, you’ll develop hands-on skills in test analysis and design techniques, including black-box techniques like equivalence partitioning and boundary value analysis, white-box techniques like statement and branch testing, and experience-based techniques such as exploratory testing. You’ll also gain insights into static testing, review types, and their importance in early defect prevention.The course dedicates focused time to test management, risk-based testing, defect reporting, and the strategic use of test tools—all critical areas for both the exam and real-world testing. You'll understand how to use testing metrics, estimate test effort, and apply collaborative practices like BDD and ATDD.To reinforce your learning, each module includes review slides, quizzes, flashcards, and mock exams that simulate the real CTFL test experience. The final week includes full-length timed mock exams, remediation plans, and