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Free Download Site Engineer Mastery in Steel & Civil PEB Structures Last updated 10/2024 Created by Akshay Kamath MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + Subtitle | Duration: 70 Lectures ( 13h 26m ) | Size: 11.2 GB Master Steel Structure Design and Fabrication in PEB Practically From Site With AutoCAD Drawing in Steel Construction What you'll learn: Basics of Steel & PEB Structures & its Importance Complete Execution of B +G + 1 Story Steel Building Execution of PEB Structures & Steel Warehouse Construction Advanced Methodologies in Steel & Concrete Structures Types of Connections in Steel Structures Requirements: Basic Knowledge of Concrete Structures It Would be Added Advantage if Student has Enrolled in Construction Methodology in Civil Engineering Course Before Description: This Course Covers the Steel Structure Execution from Start to finish With Live Site videos Practically . We will Also cover PEB Structure Execution From Start to finish Understanding the Structural Drawings .Topics Covered eel framed structure construction begins with the construction of its foundation. Generally, the types of foundation required for the given structure is based on the soil bearing capacity. Soil investigation including surface and subsurface exploration is used to assess the condition of soil on which steel frame structure rests. For example, when moderate or low loads are imposed, then it is advised to use reinforced concrete bearing pads or strip foundation. These foundation types transfer loads to soil capable of supporting transferred loads.Structural steel is a category of steel used for making construction materials in a variety of shapes. Many structural steel shapes take the form of an elongated beam having a profile of a specific cross section. Structural steel shapes, sizes, chemical composition, mechanical properties such as strengths, storage practices, etc., are regulated by standards in most industrialized countries.Most structural steel shapes, such as I-beams, have high second moments of area, which means they are very stiff in respect to their cross-sectional area and thus can support a high load without excessive sagging. 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Free Download ISTQB Test Automation Engineer (CT-TAE V2.0) - Full Course Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 3h 59m | Size: 1.35 GB ISTQB Test Automation Engineer : Certification Training and Comprehensive Guide to Mastering Test Automation What you'll learn Understand the core principles, advantages, and challenges of test automation in modern software development Learn how to design robust and reusable test automation solutions and select the right tools and technologies Understand how to integrate automated testing seamlessly into various development methodologies (Agile, DevOps) Develop the skills to evaluate, choose, and implement appropriate automation tools and technologies Master advanced automation techniques, including the Page Object Model (POM), Keyword-Driven, and Data-Driven testing approaches Understand the importance of maintaining test automation suites and adapting them to changes in software and requirements over time Full coverage of the ISTQB Advanced Test Automation Engineer (V2.0) syllabus with detailed practice questions to ensure exam readiness Requirements Before taking this course, make sure you have read the syllabus to follow well the different parts. Description This comprehensive course is designed to prepare you for the ISTQB Advanced Level Test Automation Engineer (V2) certification exam. Whether you are an experienced tester looking to specialize in test automation or an automation engineer aiming to deepen your knowledge, this course offers all the tools you need for success.You will explore the complete test automation lifecycle, from planning and designing automation frameworks to implementing scalable, maintainable test solutions. Through a well-detailed course and real-world examples, you'll master essential topics such as:Designing and implementing test automation frameworksIntegrating automated tests into the software development lifecycleSelecting and using appropriate test toolsManaging and maintaining test automation solutionsWith detailed study guides, practice quizzes, and expert instruction, you'll gain the confidence and skills to pass the exam and excel in your career as a certified Test Automation Engineer.Key Takeaways:In-depth understanding of test automation concepts, methodologies, and best practicesPractical skills to design and implement test automation solutions in a professional environmentFull alignment with the ISTQB Advanced Level syllabus to ensure you're fully prepared for the examBonus tips and strategies for exam successBy the end of this course, you'll be fully equipped with the knowledge and practical skills to pass the ISTQB Advanced Level Test Automation Engineer certification and advance your career as a test automation expert. Who this course is for Testers with experience in manual testing, looking to transition to automation Test automation professionals seeking ISTQB certification to validate their skills QA engineers and software developers involved in automating tests Managers and team leads who want to deepen their understanding of test automation Homepage https://www.udemy.com/course/istqb-test-automation-engineer-ct-tae-v2-full-course/ Rapidgator https://rg.to/file/6d2b7be14d725e72571fd5dad25a1aa6/mdyze.ISTQB.Test.Automation.Engineer.CTTAE.V2.0..Full.Course.part1.rar.html https://rg.to/file/87fbc69cc11f47097b265b4815ae6d42/mdyze.ISTQB.Test.Automation.Engineer.CTTAE.V2.0..Full.Course.part2.rar.html Fikper Free Download https://fikper.com/StOkEo2j5i/mdyze.ISTQB.Test.Automation.Engineer.CTTAE.V2.0..Full.Course.part2.rar.html https://fikper.com/tstoXqfvhb/mdyze.ISTQB.Test.Automation.Engineer.CTTAE.V2.0..Full.Course.part1.rar.html No Password - Links are Interchangeable

Free Download Complete Roadmap To Becoming An Mlops Engineer Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 1.46 GB | Duration: 2h 59m Master the MLOps Maze: Unlock the Secrets with the Right Tools! What you'll learn MLOps Lifecycle Mastery: Understand the complete MLOps process from data preparation to model deployment and monitoring. Version Control Tools: Learn essential tools for code (Git), data (DVC), and model versioning (MLflow). Core Skills and Frameworks: Gain proficiency in key languages (Python, Bash) and ML frameworks (TensorFlow, PyTorch). Cloud and Deployment: Deploy ML models on AWS using Docker, Kubernetes, and CI/CD pipelines. Monitoring and Maintenance: Monitor, manage, and maintain models in production with tools like Prometheus and Grafana. Requirements No prerequisites required! This course is designed for beginners and intermediate ML engineers. All you need is a willingness to learn and explore the field of MLOps. Description Welcome to "Complete Roadmap to Becoming an MLOps Engineer" - your ultimate guide to navigating the ever-evolving world of MLOps!In this course, we break down the complex roadmap of MLOps into simple, digestible steps, ensuring that you're equipped with the right tools to streamline your machine learning workflows and thrive in the industry. Whether you're just starting out or have some experience, this course is designed to empower you with the skills to implement scalable machine learning models in production.Why MLOps?As AI and ML are increasingly becoming integral to business operations, managing and deploying models at scale can be challenging. This is where MLOps comes in-helping bridge the gap between data science and operations. MLOps ensures that machine learning models are efficiently developed, deployed, monitored, and maintained in a reliable, automated, and scalable manner.What Will You Learn?Fundamentals of MLOps: Understand the core principles that differentiate MLOps from traditional DevOps and why it's crucial for successful AI implementations.End-to-End Machine Learning Pipeline: Learn how to build and manage the entire lifecycle of machine learning models-from model development to deployment and monitoring.Version Control for Code, Data, and Models: Discover the best practices for tracking and versioning everything in your ML workflows, ensuring reproducibility and scalability.Continuous Integration/Continuous Deployment (CI/CD) for ML: Automate your machine learning workflows with CI/CD pipelines, and understand how to apply DevOps practices to machine learning.Model Monitoring & Retraining: Explore how to monitor models in production, track performance, and implement retraining mechanisms to ensure accuracy over time.Containerization with Docker: Master the use of Docker to create portable, reliable, and consistent environments for your ML models across platforms.Cloud & Deployment Strategies: Learn how to deploy models in real-world environments using cloud services (like AWS, GCP, or Azure) and container orchestration systems like Kubernetes.MLOps Best Practices and Tools: Get hands-on with essential MLOps tools like MLflow, Kubeflow, DVC, and more to manage the lifecycle of your models and ensure smooth collaboration between data scientists and engineers.Who Should Enroll?Aspiring MLOps Engineers: If you're looking to transition from a traditional ML or data science role to an MLOps-focused position, this course will give you the skills and insights you need.Data Scientists and ML Engineers: If you want to learn how to scale your models from development to production while mastering automation and lifecycle management.DevOps Engineers: If you're interested in expanding your skill set to support machine learning model deployments, monitoring, and infrastructure management.Students & Enthusiasts: Even if you're just getting started in the world of machine learning and AI, this course will provide a strong foundation for learning how to integrate operations with ML. Overview Section 1: Introduction to MLOps Lecture 1 Introduction Lecture 2 What is MLOps ? Lecture 3 Why is MLOps required ? Lecture 4 Resources Section 2: Understanding Stages of MLOps Lecture 5 Problem Definition, Data Collection and Processing Lecture 6 Metrics Definition, Data Analysis and Feature Engineering Lecture 7 Model Training, Deployment and Monitoring Section 3: Building base for MLOps Lecture 8 Basics Tools and Skillset for MLOps- Part 1 Lecture 9 Basics Tools and Skillset for MLOps- Part2 Section 4: Tools and skills for Problem Definition Lecture 10 Stage 1: Problem Definition Section 5: Tools and skills for Data Collection Lecture 11 Stage 2: Data Collection Lecture 12 Data Collection Part 2 Section 6: Tools and Skills for Data pre-processing and Storage Lecture 13 Stage 3: Data Pre-processing Section 7: Tools and Skills for Metrics Definition Lecture 14 Stage 4: Metrics Definition Section 8: Tools and Skills for Data Exploration and Analysis Lecture 15 Stage 5: Data Exploration and Analysis Section 9: Tools and Skills for Feature Extraction and Engineering Lecture 16 Stage 6: Feature Extraction and Engineering Section 10: Tools and Skills for Model Training Lecture 17 Stage 7: Model Training Section 11: Tools and Skills for Model Deployment and Integration Lecture 18 Stage 8: Model Deployment Section 12: Tools and Skills for Model Monitoring Lecture 19 Stage 9: Model Monitoring Lecture 20 Congratulation! What Next ? This course is perfect for aspiring ML engineers who want to specialize in MLOps, data scientists eager to expand their expertise into machine learning operations, and software engineers interested in building and deploying ML models. Whether you're a beginner or have some experience in the field, this course will guide you on your path to becoming an MLOps expert. It's also ideal for anyone passionate about mastering the end-to-end process of machine learning, from development to deployment and beyond. If you're ready to dive deep into the world of MLOps and take your career to the next level, this course is for you! 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Free Download AWS Certified DevOps Engineer Professional 2024 - DOP-C02 Last updated 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 17h 18m | Size: 6.64 GB Pass the AWS Certified DevOps Engineer Professional Certification (DOP-C02) with 20 hours of advanced videos. What you'll learn Pass the AWS Certified DevOps Engineer Professional Certification (DOP-C02) Create automations between all the various AWS services Perform operations that will teach you real-world skills Learn DevOps on AWS by doing All slides available as a downloadable PDF Requirements At least an associate certification such as AWS Certified Developer AWS Certified Developer & AWS Certified SysOps recommended One year of experience in AWS preferred, two years optimal Description Welcome to the BEST and MOST UPDATED online resource to learn the skills needed to pass the challenging certification: AWS Certified DevOps Engineer Professional (DOP-C02).[DOP-C02] Update Published: 19/05/2023Before taking this course, make sure that:You hold at least an associate-level certification in AWS (AWS Certified Developer Associate is preferred)You have experience using AWS at your workIf you're ready to go on a challenging and rewarding journey, join me in this course. You will not be disappointed!-- -- -- -- -- -- --This course is different from the other ones you'll find on Udemy. Dare I say, better (but you'll judge!)It covers in-depth all the new topics on the AWS Certified DevOps Engineer Professional DOP-C02 examIt's packed with practical knowledge on how to use AWS inside and out as a DevOpsIt teaches you how to prepare for the AWS Certified DevOps Engineer Professional exam AND how to prepare for the real worldIt's a logical progression of topics, not a laundry list of random servicesIt's fast-paced and to the point All slides available as downloadable PDF-- -- -- -- -- -- --InstructorMy name is Stéphane Maarek, I am passionate about Cloud Computing, and I will be your instructor in this course. I teach about AWS certifications, focusing on helping my students improve their professional proficiencies in AWS.I have already taught 2,000,000+ students and gotten 500,000+ reviews throughout my career in designing and delivering these certifications and courses!With AWS becoming the centerpiece of today's modern IT architectures, I have decided it is time for students to learn how to be an AWS DevOps Engineer Professional. So, let's kick start the course! You are in good hands!-- -- -- -- -- -- --This course also comes with:Lifetime access to all future updatesA responsive instructor in the Q&A SectionUdemy Certificate of Completion Ready for DownloadA 30 Day "No Questions Asked" Money Back Guarantee!Join me in this course if you want to pass the AWS Certified DevOps Engineer Professional Certification (DOP-CO2) Exam and master the AWS platform! Who this course is for Experienced AWS cloud engineers looking to pass the AWS Certified DevOps Engineer Professional certification (DOP-C02) Experienced AWS cloud engineers looking to learn advanced automations and features on the AWS cloud Homepage https://www.udemy.com/course/aws-certified-devops-engineer-professional-hands-on/ Screenshot Rapidgator https://rg.to/file/24ff1af89bbaa85ef68cc8f8a23af501/owjbl.AWS.Certified.DevOps.Engineer.Professional.2024..DOPC02.part7.rar.html https://rg.to/file/8196af2a0fe482a26771b148fa015ed2/owjbl.AWS.Certified.DevOps.Engineer.Professional.2024..DOPC02.part4.rar.html https://rg.to/file/88802109fdce32d77b5b21d4067d0bf5/owjbl.AWS.Certified.DevOps.Engineer.Professional.2024..DOPC02.part5.rar.html https://rg.to/file/9975ea41e98c33441a556ca0dd5b2a90/owjbl.AWS.Certified.DevOps.Engineer.Professional.2024..DOPC02.part2.rar.html https://rg.to/file/d0dfb20eee234e2a8568532abd7a5725/owjbl.AWS.Certified.DevOps.Engineer.Professional.2024..DOPC02.part6.rar.html https://rg.to/file/d6238d3cd7c384b440e36c357c878852/owjbl.AWS.Certified.DevOps.Engineer.Professional.2024..DOPC02.part1.rar.html https://rg.to/file/e0a060e0ab87f97d523abf510e6c013c/owjbl.AWS.Certified.DevOps.Engineer.Professional.2024..DOPC02.part3.rar.html Fikper Free Download https://fikper.com/0TDmfxG1p8/owjbl.AWS.Certified.DevOps.Engineer.Professional.2024..DOPC02.part7.rar.html https://fikper.com/5uzgTYiCC2/owjbl.AWS.Certified.DevOps.Engineer.Professional.2024..DOPC02.part6.rar.html https://fikper.com/cojlRZR4J1/owjbl.AWS.Certified.DevOps.Engineer.Professional.2024..DOPC02.part5.rar.html https://fikper.com/gddKeVOBjZ/owjbl.AWS.Certified.DevOps.Engineer.Professional.2024..DOPC02.part1.rar.html https://fikper.com/gohkebeZwT/owjbl.AWS.Certified.DevOps.Engineer.Professional.2024..DOPC02.part3.rar.html https://fikper.com/hk1EKonkXI/owjbl.AWS.Certified.DevOps.Engineer.Professional.2024..DOPC02.part4.rar.html https://fikper.com/zNtrSQkjOg/owjbl.AWS.Certified.DevOps.Engineer.Professional.2024..DOPC02.part2.rar.html No Password - Links are Interchangeable

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Free Download Microsoft DP-600 Fabric Analytic Engineer Practice Exam Test Last updated 9/2024 Created by Priyanka Schwartz MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 90 Lectures ( 3h 35m ) | Size: 1.24 GB Ace your Exam in the first attempt! What you'll learn: Plan, implement, and manage a solution for data analytics Prepare and serve data Implement and manage semantic models Explore and analyze data Requirements: Azure Fundamentals Description: These practice tests closely resemble real exam questions you may encounter in the DP-600 exam. They cover all areas of the syllabus and test your knowledge thoroughly. Since many answer options may seem correct, I've provided brief explanations for why certain options are incorrect. If you diligently work through these tests and stay dedicated to learning the Microsoft Fabric concepts, I guarantee you'll be prepared to pass the exam with confidence.Below are the skills that will be tested by Practice Tests.Skills at a glancePlan, implement, and manage a solution for data analytics (10-15%)Prepare and serve data (40-45%)Implement and manage semantic models (20-25%)Explore and analyze data (20-25%)Plan, implement, and manage a solution for data analytics (10-15%)Plan a data analytics environmentIdentify requirements for a solution, including components, features, performance, and capacity stock-keeping units (SKUs)Recommend settings in the Fabric admin portalChoose a data gateway typeCreate a custom Power BI report themeImplement and manage a data analytics environmentImplement workspace and item-level access controls for Fabric itemsImplement data sharing for workspaces, warehouses, and lakehousesManage sensitivity labels in semantic models and lakehousesConfigure Fabric-enabled workspace settingsManage Fabric capacityManage the analytics development lifecycleImplement version control for a workspaceCreate and manage a Power BI Desktop project (.pbip)Plan and implement deployment solutionsPerform impact analysis of downstream dependencies from lakehouses, data warehouses, dataflows, and semantic modelsDeploy and manage semantic models by using the XMLA endpointCreate and update reusable assets, including Power BI template (.pbit) files, Power BI data source (.pbids) files, and shared semantic modelsPrepare and serve data (40-45%)Create objects in a lakehouse or warehouseIngest data by using a data pipeline, dataflow, or notebookCreate and manage shortcutsImplement file partitioning for analytics workloads in a lakehouseCreate views, functions, and stored proceduresEnrich data by adding new columns or tablesCopy dataChoose an appropriate method for copying data from a Fabric data source to a lakehouse or warehouseCopy data by using a data pipeline, dataflow, or notebookAdd stored procedures, notebooks, and dataflows to a data pipelineSchedule data pipelinesSchedule dataflows and notebooksTransform dataImplement a data cleansing processImplement a star schema for a lakehouse or warehouse, including Type 1 and Type 2 slowly changing dimensionsImplement bridge tables for a lakehouse or a warehouseDenormalize dataAggregate or de-aggregate dataMerge or join dataIdentify and resolve duplicate data, missing data, or null valuesConvert data types by using SQL or PySparkFilter dataOptimize performanceIdentify and resolve data loading performance bottlenecks in dataflows, notebooks, and SQL queriesImplement performance improvements in dataflows, notebooks, and SQL queriesIdentify and resolve issues with Delta table ✅File SizesImplement and manage semantic models (20-25%)Design and build semantic modelsChoose a storage mode, including Direct LakeIdentify use cases for DAX Studio and Tabular Editor 2Implement a star schema for a semantic modelImplement relationships, such as bridge tables and many-to-many relationshipsWrite calculations that use DAX variables and functions, such as iterators, table filtering, windowing, and information functionsImplement calculation groups, dynamic strings, and field parametersDesign and build a large format datasetDesign and build composite models that include aggregationsImplement dynamic row-level security and object-level securityValidate row-level security and object-level securityOptimize enterprise-scale semantic modelsImplement performance improvements in queries and report visualsImprove DAX performance by using DAX StudioOptimize a semantic model by using Tabular Editor 2Implement incremental refreshExplore and analyze data (20-25%)Perform exploratory analyticsImplement descriptive and diagnostic analyticsIntegrate prescriptive and predictive analytics into a visual or reportProfile dataQuery data by using SQLQuery a lakehouse in Fabric by using SQL queries or the visual query editorQuery a warehouse in Fabric by using SQL queries or the visual query editorConnect to and query datasets by using the XMLA endpointAdditional resourcesTrainingModuleExplore fundamentals of large-scale data analytics - TrainingOrganizations use analytics platforms to build large scale data analytics solutions that generate insights and drive success. 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Free Download Masterclass on Azure Data Factory - Data Engineer for 2024 Last updated 6/2024 Created by Atchyut Kumar,Edufulness MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 69 Lectures ( 16h 45m ) | Size: 7.3 GB Learn ETL & Big Data Processing - Azure Data Factory(ADF), SQL Server, Blob, Datalake, REST API, PySpark, Databricks What you'll learn: You will learn how to build a real time data pipeline in Azure Data Factory (ADF). You will learn how to transform data using Data Flows in Azure Data Factory (ADF) and load into ADLS2, Blob storage. You will learn how to ingest JSON data from SQL Server to API end point. You will learn how to build production ready pipelines and good practices and naming standards. You will learn how to monitor pipelines using Azure Data Factory (ADF), Azure Monitor and Log Analytics with a real-world project. 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