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Free Download Advanced State Management with Solid.js Released 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Advanced | Genre: eLearning | Language: English + srt | Duration: 1h 7m | Size: 129 MB SolidJS is rapidly gaining popularity within the developer ecosystem due to its performance benefits and developer experience. There's a growing need for complex state management when building web applications and this advanced course provides developers with in-depth knowledge and practical skills to handle state management in SolidJS. Instructor Ayodele Leom starts with a short review of SolidJS fundamentals before going into advanced topics like signals, effects, async patterns, state management, and routing. The course includes a hands-on project centered on building a feedback application and applying advanced state management concepts in a real-world example. Homepage https://www.linkedin.com/learning/advanced-state-management-with-solid-js TakeFile https://takefile.link/3qiqn4ngvlk9/qkutc.Advanced.State.Management.with.Solid.js.rar.html Rapidgator https://rg.to/file/1afe8bdc3092b8c34f1612e900ed6b10/qkutc.Advanced.State.Management.with.Solid.js.rar.html Fikper Free Download https://fikper.com/x2VrpBcOb9/qkutc.Advanced.State.Management.with.Solid.js.rar.html No Password - Links are Interchangeable

Free Download Advanced Power BI - Expert Data Analysis and Visualization Published 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 7h 38m | Size: 5.46 GB From Data to Decisions with Advanced Modeling Techniques What you'll learn Understand the Power BI Data Cycle: Learn how to gather, transform, consolidate, and enrich data for effective visualization and sharing. Develop Robust Data Models: Learn how to create and manage fact tables, dimension tables, and role-playing dimensions for comprehensive data modeling. Master Data Transformation Techniques: Gain expertise in using advanced transformation methods, including fuzzy matching and complex data set adjustments. Apply Role-Level Security: Learn to implement role-level security settings to control data access effectively. Conduct Data-driven Storytelling: Develop the ability to use Power BI to tell compelling data stories, highlighting key insights and trends. Requirements Learners should have a fundamental understanding of Power BI's interface, including how to create basic reports and dashboards. Learners should have Power BI Desktop installed on their computer to practice and follow along with course exercises. Description This Advanced Power BI course is meticulously designed to equip professionals with the expertise needed to master data analytics and visualization at an advanced level. By delving into critical aspects such as data transformation, modeling, and visualization, this course ensures you gain comprehensive skills to handle complex data scenarios effectively. Parti[beeep]nts will learn to connect and consolidate data from diverse sources, automate data processes, and build robust data models. The course also covers advanced topics like role-level security, fuzzy matching, and the creation of transformation tables, enabling you to manage and protect data with confidence.Taking this course will provide you with practical, hands-on experience through real-world applications and case studies. You will learn to create insightful reports and compelling visualizations that drive informed decision-making. By the end of the course, you will be equipped not only with advanced technical skills but also with the ability to apply these techniques to solve business problems and optimize data-driven strategies. This course is ideal for professionals looking to elevate their Power BI capabilities and leverage data analytics to achieve business success.Course Outline:Introduction to Advanced Power BI CourseIntroduction to the trainerOverview of the courseCommon challenges in mastering Power BIImportance of core conceptsData Cycle: Getting DataStarting with a vision and end goalsIdentifying data sourcesConnecting to disparate systemsCentralized data warehousesMethods for importing dataData Cycle: Data TransformationImportance of data transformationCommon data issuesAutomating data transformationData wrangling and mungingData Cycle: Data ConsolidationImportance of data consolidationData flattening vs. data modelingBenefits of data modelingHandling large datasetsData Cycle: Enrichment, Visualization & SharingData enrichment techniquesCreating compelling visualizationsEffective data sharing methodsData Transformation: Finding Problems & Understanding Column ProfileIdentifying data problemsUnderstanding column profilesUsing data profiling toolsData Transformation: Fuzzy MatchConcept of fuzzy matchingImplementing fuzzy matching in Power BIHandling data quality issuesData Transformation: Transformation Table with Fuzzy MatchCreating transformation tablesUsing transformation tables with fuzzy matchingBest practices for accurate data mappingData Transformation: Fuzzy, Transformation Table PracticeHands-on practice with transformation tablesTroubleshooting common problemsPerforming sense checksData Transformation: Transforming City Data SetCase study: transforming city dataApplying learned techniquesReinforcing key concepts through practical applicationData Transformation: Completing Sales FileCleaning and transforming sales dataHandling errors and missing valuesMaking executive decisions on data handlingData Transformation: Product FileImporting and cleaning product dataStandardizing product informationDealing with inconsistent data entriesData Consolidation: Model FormattingUnderstanding automatic relationship detectionDeactivating auto-detect for manual relationship managementFormatting and enriching dataData Enrichment: Calendar Table (Simple)Creating a simple calendar tableUsing DAX for date-related calculationsEnhancing reports with date intelligenceData Enrichment: Calendar Table (Fiscal Year)Creating a fiscal year calendar tableCustomizing date intelligence for fiscal reportingUtilizing DAX for advanced date calculationsQ&A SessionRecap of previous sessionsAddressing parti[beeep]nt questions and concernsPractical tips and insights from real-world use casesData Model: Fact TableUnderstanding fact tablesCharacteristics and purpose of fact tablesCreating and managing fact tables in Power BIData Model: Dimension Table & Star SchemaUnderstanding dimension tablesCharacteristics and purpose of dimension tablesImplementing star schema in data modelingData Model: Cardinality and Cross Filter DirectionUnderstanding cardinality in relationshipsManaging cross-filter directionBest practices for relationship managementData Model: Merge and Role-Playing DimensionsMerging tables for optimized data modelsCreating role-playing dimensionsAdvanced data modeling techniquesData Model: Comparing 2 Fact Tables (Theory)Theoretical concepts of comparing fact tablesUnderstanding common grainsImplications of comparing different grainsData Model: Comparing 2 Fact Tables (Practice)Practical application of comparing fact tablesHandling many-to-many relationshipsBest practices for accurate comparisonsComparing Sales and Inventory (Considerations & Reporting)Comparing sales and inventory dataManaging data discrepanciesEffective reporting techniquesRecap and Data Enrichment Using Custom Columns CCRecap of key conceptsData enrichment techniques using custom columns (CC)Practical examples and hands-on exercisesComparing Order Date and Ship DateComparing different date fieldsHandling date discrepanciesCreating meaningful insights from date comparisonsComparing Target Sales vs Actual Sales Part 1Introduction to target vs actual sales comparisonSetting up the data modelCreating relationships and calculationsComparing Target Sales vs Actual Sales Part 2Advanced techniques for comparing target vs actual salesHandling complex data modelsBest practices for accurate reportingRole Level SecurityImplementing role-level security in Power BIManaging user access and permissionsBest practices for secure data modelsNormalizing a Flat FileIntroduction to normalizing flat filesStep-by-step process for creating dimension tablesBest practices for efficient data modelingClosing and Q&ARecap of the entire courseFinal questions and answers Who this course is for Those looking to build a career in data science and analytics and want to add advanced Power BI skills to their toolkit. Those looking to build a career in data science and analytics and want to add advanced Power BI skills to their toolkit. Current Power BI users who have mastered the basics and are ready to explore advanced features like complex data modeling, DAX, and data transformation. IT specialists and database managers who want to integrate Power BI into their reporting workflows and need to understand advanced data modeling techniques. Independent consultants and freelancers in the field of data analytics who wish to offer more advanced Power BI services to their clients. 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Free Download Unlock Snowflake Snowpro Advanced Architect Strategies Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.37 GB | Duration: 1h 59m Master Snowflake: Architect Modern Data Solutions in Cloud, Insights for Optimal Performance, Security and Helpful Tips. What you'll learn Get a deep understanding of Snowflake's architecture, including its multi-cluster, shared-data model, and separation of storage and compute. Unleash advanced data modeling techniques, such as clustering keys, materialized views, & query optimization, to optimize data organization & query performance. Understand Snowflake's virtual warehouses and learn how to effectively scale resources, allocate compute power, and optimize performance. Ensure security and compliance in Snowflake environments by implementing encryption, role-based access control (RBAC), and secure data sharing practices. Architect and implement data pipelines, real-time data loading, and integration with ETL tools for seamless data processing. Develop disaster recovery plans, implement backup and restore strategies, and ensure business continuity in Snowflake environments. Optimize costs through efficient management of Snowflake credits, auto-suspending and scaling resources, and leveraging query and storage optimization features. Learn emerging trends and innovations in cloud data warehousing, including Snowflake's roadmap and upcoming features, data lake and data mesh architectures. and much more Requirements Willingness or Interest to learn about Snowflake SnowPro Advanced Architect for Success. Description IMPORTANT before enrolling:This course is not intended to replace studying any official vendor material for certification exams, is not endorsed by the certification vendor, and you will not be getting the official certification study material or a voucher as a part of this course."Snowflake Mastery: Architecting Modern Data Solutions in the Cloud"In today's digital landscape, data has become the lifeblood of businesses, driving decision-making, innovation, and competitive advantage. Snowflake, with its revolutionary cloud data platform, has emerged as a powerhouse in modern data warehousing and analytics. This comprehensive course is designed to equip professionals with the advanced skills and knowledge needed to harness the full potential of Snowflake for building robust and scalable data solutions.SnowPro Advanced Architect certification focuses on validating proficiency in designing, architecting, and implementing complex data solutions using Snowflake.Throughout the course, parti[beeep]nts will embark on a journey to delve deep into the intricacies of Snowflake's architecture, exploring its multi-cluster, shared-data model, and the separation of storage and compute. They will gain a profound understanding of how Snowflake ensures security and data isolation, essential for safeguarding sensitive information in today's data-driven world.Moving beyond the fundamentals, parti[beeep]nts will master Snowflake's virtual warehouses, learning how to optimize performance and resource allocation effectively. They will explore advanced concepts such as clustering keys, materialized views, and query optimization techniques, empowering them to fine-tune data organization and enhance query performance.Course will also delve into best practices for data modeling and warehousing, providing insights into crafting effective data models, managing time-travel, and implementing slowly changing dimensions (SCDs). Parti[beeep]nts will learn to navigate between star and snowflake schemas, while also gaining proficiency in handling semi-structured data, a crucial aspect in today's diverse data landscape.Performance tuning and scaling are vital components of any data solution, and this course equips parti[beeep]nts with the knowledge to scale Snowflake resources effectively, monitor query performance, and identify and address performance bottlenecks. They will learn to utilize resource monitors and queues to optimize performance and enhance overall efficiency.Security and compliance are paramount in data management, and parti[beeep]nts will explore Snowflake's robust security architecture, including encryption, role-based access control (RBAC), and secure data sharing. They will gain insights into implementing data pipelines, real-time data loading, and integrating Snowflake with ETL tools, ensuring seamless data integration and processing.Business continuity and disaster recovery planning are critical considerations in today's dynamic business environment. Parti[beeep]nts will understand Snowflake's high availability architecture, craft effective failover and disaster recovery plans, and implement backup and restore strategies to ensure business continuity in Snowflake environments.Cost optimization and management play a significant role in data projects, and parti[beeep]nts will learn to manage Snowflake credits, optimize costs through auto-suspending and scaling resources, and leverage query and storage optimization features for cost efficiency. They will explore strategies for reducing data storage costs, maximizing value while minimizing expenses.Finally, course will provide a glimpse into future trends and innovations in cloud data warehousing, exploring Snowflake's roadmap and upcoming features. Parti[beeep]nts will embrace emerging trends such as data lake and data mesh architectures, preparing them to stay ahead in the ever-evolving landscape of data analytics and architecture.This course empowers professionals to become adept Snowflake architects, capable of architecting modern data solutions that drive business success in the cloud era.Thank you Overview Section 1: Snowflake Architecture Lecture 1 Snowflake's Cloud Data Platform Lecture 2 Snowflake's Multi-cluster, Shared-data Architecture Lecture 3 Snowflake's Separation of Storage & Compute Lecture 4 Security and Data Isolation Section 2: Advanced Snowflake Concepts Lecture 5 Snowflake Virtual Warehouses Lecture 6 Clustering Keys & Data Organization Lecture 7 Power of Materialized Views Lecture 8 Fine-tuning Query Optimization Techniques Lecture 9 Strategies for Effective Data Ingestion and Loading Section 3: Data Modeling & Warehousing Best Practices Lecture 10 Snowflake Data Models Lecture 11 Star and Snowflake Schema Lecture 12 Time-Travel and Data Versioning Lecture 13 Slowly Changing Dimensions (SCDs) Lecture 14 Semi-Structured Data: Best Practices Section 4: Performance Tuning and Scaling Lecture 15 Scaling Snowflake Resources for Enhanced Performance Lecture 16 Monitoring and Optimizing Query Performance Lecture 17 Identify & Address Performance Bottlenecks Lecture 18 Utilize Resource Monitors & Queues for Performance Optimization Section 5: Security and Compliance Lecture 19 Snowflake's Security Architecture: Encryption and Key Management Lecture 20 Role-based Access Control Lecture 21 Secure Data Sharing and External Data Sources Lecture 22 Compliance with Snowflake's Security Standards Lecture 23 Auditing and Monitoring for Enhanced Security Section 6: Data Pipelines and Integration Lecture 24 Data Pipelines with Snowflake Streams Lecture 25 Real-time Data Loading and Processing Lecture 26 Integrating Snowflake with ETL Tools: Best Practices Lecture 27 Change Data Capture (CDC) Lecture 28 Data Replication and High Availability Strategies Section 7: Business Continuity and Disaster Recovery Lecture 29 Snowflake's High Availability Architecture Lecture 30 Failover and Disaster Recovery Plans Lecture 31 Effective Backup and Restore Strategies Lecture 32 Business Continuity Planning in Snowflake Environments Section 8: Cost Optimization and Management Lecture 33 Managing and Monitoring Snowflake Credits for Cost Optimization Lecture 34 Optimizing Costs through Auto-suspending and Scaling Resources Lecture 35 Leverage Snowflake's Query & Storage Optimization Features for Cost Efficiency Lecture 36 Strategies for Reducing Data Storage Costs Section 9: Future Trends and Innovations Lecture 37 Evolving Landscape of Cloud Data Warehousing Lecture 38 Snowflake's Roadmap and Upcoming Features: A Glimpse into the Future Lecture 39 Data Lake and Data Mesh Architectures Lecture 40 Analyzing Emerging Trends in Data Analytics and Architecture Data Architects: Individuals tasked with designing data models, schemas, and architectures that support the organization's analytical and reporting needs.,Data Scientists: Professionals who analyze complex datasets, develop predictive models, and extract valuable insights to solve business problems.,Data Engineers: Professionals responsible for designing and implementing data pipelines, optimizing data storage and retrieval, and ensuring data quality and reliability.,Database Administrators (DBAs): Administrators responsible for managing and maintaining databases, ensuring data security, and optimizing database performance.,IT Managers and Directors: Leaders responsible for overseeing data initiatives, driving digital transformation, and ensuring alignment with organizational goals.,Cloud Architects: Professionals with expertise in cloud computing who are responsible for designing and implementing cloud-based solutions.,Business Intelligence (BI) Analysts: Analysts who work with data to derive insights and drive informed decision-making within the organization.,Anyone interested in advancing their career in the field of data management, analytics, and cloud computing.,Whether you are a seasoned data professional looking to expand your skill set or a newcomer eager to enter the field of cloud data warehousing, this course provides the advanced knowledge and practical skills necessary to excel in today's data-driven world. 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Listening Mastery (Score 90)4.1 Listening Accuracy: Never Miss a WordTechniques to improve your listening accuracy in fast-paced audio.How to catch keywords and phrases even in difficult audio tracks.4.2 Handling Multiple Question TypesTips for handling Fill in the Blanks, Highlight Correct Summary, Multiple Choice, and Select Missing Word.Strategies for understanding different accents and complex sentence structures.4.3 Listening While Writing: Multitasking MasteryHow to take quick, effective notes while listening.Improve your ability to focus on multiple tasks and still answer correctly.4.4 Understanding Fast-Paced AudioLearn how to identify important details quickly in fast-speaking audio tracks.Practice with difficult audio to sharpen your listening skills.4.5 Common Mistakes in ListeningAvoid common traps in listening tasks and learn to focus under pressure.Key strategies to recover quickly if you miss something in the audio.4.6 Practice with High-Difficulty Listening TasksGet comfortable with the hardest PTE Core listening questions.Build confidence with challenging practice tasks that prepare you for the exam. Overview Section 1: Introduction Lecture 1 Introduction Section 2: PTE Core Writing Tasks 1 and 2 Lecture 2 PTE Core Writing Task 1 Lecture 3 PTE Core Writing Task 2 (Part 1) Lecture 4 PTE Core Writing Task 2 (Part 2) Section 3: PTE Core Speaking Lecture 5 Part 1 Lecture 6 Part 2 Lecture 7 Part 3 Section 4: PTE Core Best Vocabulary (Words, Phrases, and Sentences) Lecture 8 PTE Core Vocabulary Section 5: PTE Core Reading Lecture 9 Part 1 Lecture 10 Part 2 Section 6: PTE Core Listening Lecture 11 Part 1 Lecture 12 Part 2 Section 7: Grammar Lesson Lecture 13 Grammar Section 8: Pronunciation Lecture 14 CLEAR Accent Training Lesson Part 1 Lecture 15 Accent Training: Part 2 Section 9: Final Review: All Modules Lecture 16 Review Section 10: Mock Tests (In Resources) + An Overall Refresher! Lecture 17 30-Min Refresher! CRS and CLB Scores Needed? This Course is For Anyone Looking to Take the PTE Core Exam for High CLB and CRS scores! 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Free Download Emdr Therapy From Basics To Advanced Techniques Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 118.47 MB | Duration: 0h 30m EMDR Training for Self-Healing, Trauma Therapy, Childhood Healing, PTSD, Grief, and Counseling What you'll learn Understanding of EMDR principles and mechanisms Ability to assess and prepare clients for EMDR Skills to select and process targets using EMDR Knowledge of eye movement and other stimulation methods Understanding of desensitization and reprocessing techniques Ability to use cognitive interweaves and reframes EMDR for PTSD Requirements Software Requirements: - None required (all course materials are provided) Mindset and Prerequisites: - Beginner-friendly: no prior knowledge of EMDR or therapy required - Open-mindedness and willingness to learn a new therapy approach - Basic understanding of psychology or therapy concepts (not required but helpful) Description Eye-Movement-Desensitization and Reprocessing Therapy (EMDR Therapy) course will enable you to use this wonderful neuropsychology psychotherapeutic technique in a wide range of conditions e.g. stress, anxiety, depression, trauma informed care, trauma therapy, stuck grief / grief healing / grief counseling, death doula, victim feelings, rage and anger triggers, low-self esteem, self-sabotaging / thoughts or behaviors, feeling stuck in life, PTSD, Childhood Trauma Healing and other mental and psychological trauma.This is both Self-EMDR Training and Self-EMDR Training. It includes a detailed elaboration of the 8-Phase EMDR technique with live session examples.This course is beneficial for everyone ranging from the general population to clinical trauma specialist, EMDR Therapist, and counsellors. Learning EMDR will illuminate an individual's growth, skills, personality, desires, concerns, and conflicts.EMDR was originally developed to treat Post-Traumatic Disorder (PTSD).Then therapists and patients found that it is often effective in alleviating the symptoms of many other psychological conditions and challenges.Today the infamous Eye Movement Technique is often synthesized with mindfulness practices to create a transformative form of meditation that can reduce stress, induce relaxation, and help cultivate a state of clarity creativity.EMDR has also remained controversial since its first discovery, because despite numerous theories, nobody knows exactly how or why it works.This course provides a concise yet comprehensive insight into all aspects of EMDR and its applications, and includes videos for use in your own meditation practice. Overview Section 1: Introduction Lecture 1 What is EMDR? Lecture 2 History and Development of EMDR Lecture 3 Ethical Considerations in EMDR Practice Section 2: Foundations of EMDR Lecture 4 Understanding Trauma and Memory Lecture 5 The Adaptive Information Processing (AIP) Model Lecture 6 EMDR phases Overview Lecture 7 Research and Effectiveness of EMDR Anyone who wants to help self and others by practicing EMDR therapy.,Mental Health Professionals: Psychologists, therapists, counselors, and social workers looking to add EMDR to their skillset.,EMDR Enthusiasts: Individuals interested in learning EMDR for personal growth or to help others.,Trauma Survivors: Those who have experienced trauma and want to learn EMDR for self-healing.,Healthcare Workers: Nurses, doctors, and other healthcare professionals interested in EMDR.,Coaches and Educators: Life coaches, teachers, and educators who want to incorporate EMDR into their practice.,Anyone interested in EMDR: Those who want to learn about EMDR and its applications. Homepage https://www.udemy.com/course/emdr-therapy-from-basics-to-advanced-techniques/ TakeFile https://takefile.link/vxuyfr9sx0c8/thsja.Emdr.Therapy.From.Basics.To.Advanced.Techniques.rar.html Rapidgator https://rg.to/file/94e62b16507357c84a3d5243674cd551/thsja.Emdr.Therapy.From.Basics.To.Advanced.Techniques.rar.html No Password - Links are Interchangeable

Free Download Building Advanced AI Apps with Prompt Flow Released: 09/2024 Duration: 35m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 103 MB Level: General | Genre: eLearning | Language: English In this course, Senior Staff Instructor Morten Rand-Hendriksen guides you through developing LLM-based AI apps using the open-source Prompt Flow suite. Get hands-on practice creating, analyzing, and evaluating workflows that link LLMs, prompts, and Python code. With real-world examples and practical insights, Morten helps you master prompt engineering, streamlining development, and getting started orchestrating advanced AI projects. Homepage https://www.linkedin.com/learning/building-advanced-ai-apps-with-prompt-flow?u=121350530 TakeFile https://takefile.link/41c8aq9h1ck4/ygooa.Building.Advanced.AI.Apps.with.Prompt.Flow.rar.html Rapidgator https://rg.to/file/68031bc9184764bfbaedd98052309b10/ygooa.Building.Advanced.AI.Apps.with.Prompt.Flow.rar.html No Password - Links are Interchangeable

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Free Download AutoCAD 2D- From Zero to Advanced Published 9/2024 Created by Craft Learning,S. Bryantt V. MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 124 Lectures ( 9h 39m ) | Size: 4.93 GB Learn essential drafting tools, creating blocks, working with layers, and precision drawing techniques. What you'll learn: AutoCAD 2025 Interface and Navigation Make and edit their own AutoCAD Drawings, Plans and Layouts Applying Layers and Line Types for Organized Drawings Adding Text, Dimensions, and Leaders to Your Drawings Layouts and Printing in AutoCAD 2025 Drawing Commands for Basic Shapes in AutoCAD 2025 Creating Blocks and Dynamic Blocks Using Object Snap in AutoCAD 2025 Using Tables and Fields in AutoCAD 2025 Advanced Tools for Collaborating and Sharing Drawings Requirements: Basic computer skills (using software, navigating files) A computer with AutoCAD 2025 installed (free trial or licensed version) A positive attitude and excitement to learn and explore all the awesome tools and features AutoCAD has to offer! Description: Are you ready to become an expert in AutoCAD 2025? Whether you're a complete beginner or want to take your skills to the next level, this course, "AutoCAD 2025 - for Beginners - from Zero to Advanced," is the perfect fit for you!Starting from scratch, we'll guide you through the fundamentals of the AutoCAD interface, covering everything from the Application Menu and Quick Access Toolbar (QAT) to customizing your workspace. You'll learn how to efficiently use tools like Zoom, Pan, and DYNMODE to navigate your drawings easily. Plus, we'll teach you how to manage metric and imperial units, and create simple templates for streamlined projects.You'll dive deep into essential drawing techniques, like creating lines, polylines, arcs, and more complex shapes such as polygons and splines. You'll also learn how to use OSNAP, POLAR, and ORTHO modes for precision drafting, and how to edit your drawings using commands like Trim, Extend, Move, and Rotate.As you advance, we'll cover key tools for working with blocks, attributes, and XREFs, along with advanced editing techniques such as the EXPLODE and WBLOCK commands. You'll even learn to create accurate dimensions, add tables, and design professional title blocks.By the end of the course, you'll be ready to tackle real-world projects, using advanced features like DWG Compare, Count functionality, and Batch Plotting to ensure high-quality output every time.Enroll today and start your journey toward mastering AutoCAD 2025! Who this course is for: Designers Engineers Architects Beginners new to AutoCAD Intermediate users seeking advanced skills Students and professionals in engineering, architecture, and construction BIM Modelers, BIM Managers and BIM Coordinators Anyone interested in creating 2D drawings and 3D models with AutoCAD Homepage https://www.udemy.com/course/autocad-2025-for-beginners-from-zero-to-advanced/ TakeFile https://takefile.link/p2hqcuiy0khw/yiqmm.AutoCAD.2D.From.Zero.to.Advanced.part1.rar.html https://takefile.link/vzuliquvcx07/yiqmm.AutoCAD.2D.From.Zero.to.Advanced.part2.rar.html https://takefile.link/kywmodocisxt/yiqmm.AutoCAD.2D.From.Zero.to.Advanced.part3.rar.html https://takefile.link/nniib6jdo7t8/yiqmm.AutoCAD.2D.From.Zero.to.Advanced.part4.rar.html https://takefile.link/053jjo5e4rfv/yiqmm.AutoCAD.2D.From.Zero.to.Advanced.part5.rar.html https://takefile.link/tx7rvya9dqip/yiqmm.AutoCAD.2D.From.Zero.to.Advanced.part6.rar.html Rapidgator https://rg.to/file/039c3273b10996a61c477dd2aeb4e098/yiqmm.AutoCAD.2D.From.Zero.to.Advanced.part1.rar.html https://rg.to/file/3767727dd7caa27e7c6df2953237ca9c/yiqmm.AutoCAD.2D.From.Zero.to.Advanced.part2.rar.html https://rg.to/file/4e4115fa39bf4ad8eebb1abc5f92fc7e/yiqmm.AutoCAD.2D.From.Zero.to.Advanced.part3.rar.html https://rg.to/file/56277c79fe61e7a6cb5e30792c984ecb/yiqmm.AutoCAD.2D.From.Zero.to.Advanced.part4.rar.html https://rg.to/file/e7fed1688c264c7a8b63be9699a94320/yiqmm.AutoCAD.2D.From.Zero.to.Advanced.part5.rar.html https://rg.to/file/42da8eea0b637401affacbf88917134d/yiqmm.AutoCAD.2D.From.Zero.to.Advanced.part6.rar.html Fikper Free Download https://fikper.com/u4dgMCulg7/yiqmm.AutoCAD.2D.From.Zero.to.Advanced.part1.rar.html https://fikper.com/WVd2aYDUIJ/yiqmm.AutoCAD.2D.From.Zero.to.Advanced.part2.rar.html https://fikper.com/4JAnd6egRN/yiqmm.AutoCAD.2D.From.Zero.to.Advanced.part3.rar.html https://fikper.com/Mr3hQACNnB/yiqmm.AutoCAD.2D.From.Zero.to.Advanced.part4.rar.html https://fikper.com/kFiuUlpmS2/yiqmm.AutoCAD.2D.From.Zero.to.Advanced.part5.rar.html https://fikper.com/BQgNCSEP1l/yiqmm.AutoCAD.2D.From.Zero.to.Advanced.part6.rar.html No Password - Links are Interchangeable

Free Download Advanced AI Programming - Mastering Cutting-Edge Techniques Published 9/2024 Duration: 42m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 1.17 GB Genre: eLearning | Language: English This course is designed for experienced programmers who want to deepen their understanding of advanced AI techniques and What you'll learn Master Advanced Techniques: Gain expertise in advanced machine learning, deep learning, and reinforcement learning techniques. 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Experience with fundamental machine learning and AI concepts. Familiarity with basic algorithms and data structures. Understanding of Data Management and Preprocessing Description Welcome to "Advanced AI Programming: Mastering Cutting-Edge Techniques"! This course is designed for experienced programmers who want to deepen their understanding of advanced AI techniques and apply them to real-world problems. Whether you're looking to enhance your skills in machine learning, deep learning, or reinforcement learning, this course provides a comprehensive, hands-on approach to mastering these technologies. Objectives and Goals Master Advanced Techniques Gain expertise in advanced machine learning, deep learning, and reinforcement learning techniques. Implement Cutting-Edge Models Learn how to build, train, and fine-tune state-of-the-art models including CNNs, GANs, and Transformers. Deploy AI Systems Understand how to deploy scalable AI solutions in production environments. 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