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Free Download Advanced DevSecOps - Real-World Security for DevOps Engineers Published: 3/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 11h 28m | Size: 4.22 GB Master security in DevOps with hands-on projects, secure pipelines, real-world attack scenarios, and compliance practice What you'll learn Secure the DevOps lifecycle: Integrate security into planning, coding, building, testing, deployment, and monitoring. Build a Secure CI/CD Pipeline: Automate security scanning for code, dependencies, and infrastructure. Identify vulnerabilities using tools like Snyk, Trivy, Kyverno, Cosign etc Kubernetes & Container Security: Secure Kubernetes clusters, apply RBAC, Check for runtime security, and scan images with Trivy etc. Secrets & Credential Management: Safeguard sensitive data with Kubernetes Secrets and learn best practices to manage them. Security Compliance & Policy as Code: Automate security governance using tools like Kyverno on Kubernetes. Final Capstone Project: Apply everything learned to secure a cloud-native microservices application, ensuring end-to-end security from code to deployment. Requirements Basic DevOps Knowledge - Familiarity with DevOps workflows and CI/CD pipelines. Experience with Linux & Containers - Ability to work in the terminal and use Docker/Kubernetes. General Cloud Knowledge - Understanding of AWS, Azure, or GCP is helpful but not mandatory. No Prior Security Experience Required - This course covers security fundamentals before diving into advanced topics. A Laptop/PC with Docker & Cloud Account - Labs are hands-on, so having a free-tier cloud account (AWS/Azure/GCP) is recommended. Description Security is no longer optional-it's a fundamental part of modern DevOps. If you're an SRE, DevOps engineer, security specialist, or software developer, mastering DevSecOps is key to ensuring the security of cloud-native applications while maintaining high-speed deployments.In this project-based, hands-on course, you'll learn how to integrate security into every phase of the DevOps lifecycle. We focus on real-world security threats, practical secure CI/CD pipeline implementation, and best practices for Kubernetes, containers, and cloud security. You'll also get hands-on with SAST, DAST, dependency scanning, compliance automation, and infrastructure security tools.Unlike other courses that are theory-heavy or exam-focused, this course is practical and job-oriented. Every session includes hands-on labs where you simulate attacks, detect vulnerabilities, automate security checks, and deploy security-focused pipelines. The final capstone project will have you apply all these concepts to a real-world enterprise-grade DevSecOps implementation.By the end of this course, you'll be job-ready, capable of designing and securing production-grade CI/CD pipelines, ensuring compliance, and responding to security threats effectively. Whether you're securing a startup's cloud-native stack or a large enterprise's DevOps environment, this course will equip you with battle-tested DevSecOps skills.How This Course Stands OutProject-Based, Hands-On Learning - Not just theory, but real-world attack simulations & secure pipelines.Job-Focused, Not Just Certification-Focused - Practical DevSecOps training for real jobs.Covers the Full Stack - From code security to cloud infrastructure protection. Who this course is for DevOps Engineers & SREs - Secure DevOps workflows and automate security in CI/CD. Security Engineers - Understand DevSecOps and implement security controls in cloud-native environments. Cloud & Kubernetes Engineers - Learn security best practices for containers, Kubernetes clusters, and cloud applications. Software Developers - Build security into the SDLC and write secure code with automated security testing. QA & Test Engineers - Learn how to integrate security testing in CI/CD pipelines. IT Professionals & Architects - Implement DevSecOps strategies at scale. Anyone looking to break into DevSecOps - This course provides real-world, job-ready security skills for cloud and DevOps professionals. 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Free Download Advanced Observability - Real-World Monitoring and Logging Published: 3/2025 Created by: DevOps Door Training MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Expert | Genre: eLearning | Language: English | Duration: 32 Lectures ( 12h 14m ) | Size: 10.2 GB Master observability with hands-on projects, real-world scenarios, and job-ready skills for SREs, DevOps, and Cloud. What you'll learn Build a complete Observability Stack using open-source tools - deploy and integrate Prometheus for metrics, Grafana/Loki for logs Live Labs from Scratch: Follow along with live lab setups built from the ground up. With access to a cloud account, you can replicate every environment and expe Diagnose real production issues with observability data - practice troubleshooting latency, errors, and failures in complex systems by correlating logs, metrics Design Service Level Objectives (SLOs) and Alerts - define reliability targets (SLO/Error Budgets) and configure alerting rules that inform you of problems. Implement Observability in Cloud & Kubernetes environments - monitor containerized applications, use Kubernetes event logs and metrics, and deploy in k8s Best Practices & Performance Tuning - learn advanced tips (optimizing logging levels, handling high-cardinality metrics, and minimizing observability overhead) Requirements Basic Knowledge of DevOps & Containers: Familiarity with Docker and fundamental DevOps concepts will help in understanding the deployment of observability tools General Cloud Understanding: Experience with any cloud provider (AWS, Azure, GCP) is recommended. You should have access to a free-tier or personal cloud account for optional cloud-based lab exercises Linux Command Line Basics: Ability to navigate and run simple commands on a Linux terminal is needed, since many tools are deployed on Linux or via Docker. Prior Monitoring/Logging Exposure (Optional): Basic experience with monitoring or logging (even at a beginner level) will be beneficial but not strictly required - we will recap the fundamentals before diving deep. Hardware/Software: A computer (Windows/Mac/Linux) capable of running multiple Docker containers for labs, and an internet connection. We will use free/open-source software throughout the course. Eagerness to Learn by Doing: A willingness to set up environments, experiment with configurations, and troubleshoot will greatly enhance your learning experience in this hands-on course. Description Observability is more than a buzzword - it's a critical skill set for today's SREs and DevOps engineers. "Advanced Observability" is a project-based course that goes beyond theory, immersing you in real-world scenarios. In this course, you will build and break things on purpose: instrument applications with telemetry, set up a full observability stack, and troubleshoot complex systems just as you would on the job. Our approach is formal in coverage yet slightly conversational in tone, making advanced concepts accessible and engaging.Throughout the course, we emphasize learning by doing. Each module centers around a realistic project or problem scenario - from debugging a microservices outage to optimizing performance in a live environment. You won't just learn definitions or passively watch tool demos; you'll actively implement logs and metrics in a hands-on lab environment. By working through guided labs and challenges, you'll gain confidence using industry-standard tools (like Prometheus, Grafana, Loki etc) and tie them together into a cohesive observability platform.By the end of this course, you'll have job-ready observability expertise. You will know how to proactively monitor distributed systems, quickly pinpoint issues across complex architectures, and improve reliability using data-driven insights. Whether you're aiming to excel in an SRE/DevOps role or to bring observability best practices to your team, this course delivers practical experience that translates directly to real-world success. Get ready to elevate your skills through immersive projects and become an observability champion in your organization! Who this course is for Site Reliability Engineers (SREs) who want to master the art of observability and take their incident response skills to the next level. DevOps Engineers aiming to implement comprehensive monitoring and tracing in CI/CD pipelines and production systems. Software Developers who wish to understand what happens to their code in production and how to instrument applications for better debuggability. System Administrators & IT Operations staff looking to proactively detect and resolve infrastructure issues using logs, metrics, and alerts. Technical Support Engineers who troubleshoot production issues and need deeper insight into system behavior to resolve customer problems faster. QA and Test Engineers interested in observing system performance and reliability during testing, and learning how to use observability data to validate features under load. Cloud Architects/Engineers designing modern microservices or cloud-native architectures, who need to embed observability for distributed systems at scale. Enthusiastic Learners who have basic ops/dev experience and are eager to step into an SRE, DevOps, or reliability-focused role by acquiring in-demand observability skills. 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Free Download Qgis For Beginners - Master Gis With Real-World Projects Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 5.16 GB | Duration: 4h 28m Learn QGIS step by step. Master spatial analysis, geoprocessing, and map design with real world examples. What you'll learn Navigate QGIS with Confidence - Understand key GIS concepts, manage layers, and utilize essential tools for spatial analysis. Work with Vector and Raster Data - Perform attribute table operations, spatial queries, and raster calculations. Georeference and Digitize Data - Import scanned maps, align them with real-world coordinates, and create vector datasets. Perform Spatial Analysis and Mapping - Use buffers, intersections, and digital elevation models (DEMs) for advanced geoprocessing and map creation. Create High-Quality Maps and Reports - Design professional maps with symbology, labels, and print layouts for clear data visualization. Receive a Certificate upon Completion of the Course Requirements This course is designed to be accessible to anyone, so no prior GIS or programming knowledge is needed No prior environmental engineering experience required Description Unlock the power of GIS with QGIS, the leading open-source software for spatial analysis. This course takes you from the basics to advanced geoprocessing and mapping techniques, empowering you to analyze spatial data and create professional maps.What you'll learn in this course:Navigate QGIS and understand key GIS concepts, including spatial analysis techniques.Work with vector and raster data, managing attribute tables and performing spatial queries.Perform spatial analysis using tools like buffers, intersections, and raster calculations.Import and analyze a Digital Elevation Model (DEM) to understand terrain and bathymetry for advanced analysis.Create high-quality, professional maps with advanced symbology, labels, and print layouts.Automate workflows and improve efficiency with QGIS' powerful processing toolbox.Master georeferencing to align your data with real-world coordinates and use it for analysis.Digitize features to create accurate vector data from scanned maps or satellite images.Who is this course for?Beginners who want to learn GIS and QGIS from scratch.Environmental engineers, consultants, and professionals in related fields.Anyone seeking to perform spatial analysis and create professional-quality maps.By the end of this course, you will have a strong foundation in QGIS, enabling you to confidently perform spatial analysis and produce maps for real-world applications. Overview Section 1: Theoretical Foundations in Geography and GIS Lecture 1 Introduction to the Module Lecture 2 General introduction to Geographic Information Systems (GIS) Lecture 3 Building blocks of GIS Lecture 4 Brief history of geography and mapping Lecture 5 Coordinate systems in GIS Lecture 6 Most common file types in GIS Lecture 7 Attributes Lecture 8 What's next? Section 2: Installing QGIS Lecture 9 Introduction to the Module Lecture 10 minimum computer Requirements Lecture 11 Brief Overview of QGIS Lecture 12 Download and installation process of QGIS Lecture 13 What's next? Section 3: Setting Up Your First Project in QGIS Lecture 14 Introduction to the Module Lecture 15 Launching QGIS and setting up toolbars and panels Lecture 16 Setting up the project coordinate reference system Lecture 17 Adding a vector layer, basemap raster layer and discovering the layer hierarchy Lecture 18 Exploring basic toolbars Lecture 19 Checking the layer metadata Lecture 20 Attribute tables and selecting attributes Lecture 21 Repeating the previous steps with another type of shapefile vectorlayer Lecture 22 Saving the project and adding a third type of shapefile layer Lecture 23 Pro tip: On the fly projections when the CRS does not match the project CRS Lecture 24 Recapitulation of what we Learned in This Module Section 4: Advanced Styling & Spatial Analysis in QGIS Lecture 25 Introduction to the Module Lecture 26 Setting up the layer data and formulating a research question Lecture 27 Layer symbology: categorized symbology Lecture 28 Layer symbology: graduated symbology and classification methods Lecture 29 Layer symbology: graduated symbology and classifying on size Lecture 30 Rule based symbology and a quicker way to combine color and size visualisations Lecture 31 Exploring labelling options and changing the layer opacity Lecture 32 Recapitulation of what we Learned in This Module Section 5: Editing and Enhancing Spatial Data Lecture 33 Introduction to the Module Lecture 34 Editing shapefiles Lecture 35 Snapping toolbar Lecture 36 Attribute table in depth: Adding and editing fields Lecture 37 Attribute table in depth: Calculating fields using the field calculator Lecture 38 Pro tip: Calculating coordinates in degrees minutes and seconds Lecture 39 Attribute table in depth: Dynamic variables (Coordinates, Area, Perimeter) Lecture 40 Adding plugins and loading different basemaps Lecture 41 Pro tip: Joining datasets using a common unique identifier Lecture 42 Recapitulation of what we Learned in This Module Section 6: Introduction to the Case Study and Preparing Data for Environmental Analysis Lecture 43 Introduction to the Module Lecture 44 Introduction to the Case Study Lecture 45 Overview of project data for the Case Study Lecture 46 Adding and visualising geographic data as CSV and vector shapefiles Lecture 47 Importing DXF files Lecture 48 Putting forward the environmental restrictions for the Case Study Lecture 49 Making data editable by converting to shapefiles Lecture 50 Pro tip: Exporting a file to a different coordinate reference system Lecture 51 Continuing with data conversions and setting everything ready for analysis Lecture 52 Recapitulation of what we Learned in This Module Section 7: Advanced Spatial Analysis in QGIS: Evaluating Island Location Suitability Lecture 53 Introduction to the Module Lecture 54 Refreshing the Environmental Restrictions and Visualising crucial data Lecture 55 What is the Processing Toolbox? Lecture 56 Analysis 1 using Count points in polygon and Merge Lecture 57 Analysis 2 using Buffer, Intersect and Layer Statistics Lecture 58 Analysis 3 using Filter and Overlap Analysis Lecture 59 Conclusion of the Analysis Lecture 60 Pro tips: History of Algorithms and Fixing Invalid Geometries Lecture 61 Recapitulation of what we Learned in This Module Section 8: Georeferencing and Digitizing: Converting Images into Spatial Data Lecture 62 Introduction to the Module Lecture 63 Additional Case Study Information and Challenges Lecture 64 Looking at the Available Data and Setting up the Project Lecture 65 Georeferencing by using Coordinates on the Map Lecture 66 Digitizing the Georeferenced Data Lecture 67 Georeferencing by using Distinct Features on the Map Lecture 68 Recapitulation of what we Learned in This Module Section 9: Uploading a Digital Elevation Model and Analysing Raster and Vector Data Lecture 69 Introduction to the Module Lecture 70 Designing a Monitoring System for Environmental Impact Assessment Lecture 71 Importing a Digital Elevation Model (DEM) from GEBCO Lecture 72 Performing Raster Analyses with the Raster Calculator Lecture 73 Defining the Monitoring Buoy Locations and Setting up Buffers Lecture 74 Creating the Monitoring Buoy Shapefile Layer Lecture 75 Creating Vector Contour Lines based on a Raster Layer Lecture 76 Sending Files to External Parties as a Geopackage and Exporting the Layer Style Lecture 77 Recapitulation of what we Learned in This Module Section 10: Creating a Professional Monitoring Map Lecture 78 Introduction to the Module Lecture 79 Exploring the Data and Visualising the Correct Layers for the Monitoring Map Lecture 80 Setting Custom Symbols and Color Codes for Objects Lecture 81 Styling the Contour Lines for the Monitoring Map Lecture 82 Setting Up a Map Layout Lecture 83 Setting Up a Map Grid Lecture 84 Adding Map Elements: North Arrow, Scalebar, Title and Legend Lecture 85 Adding Map Elements: Attribute Table, Overview Map, Image and Metadata Lecture 86 Exporting the Monitoring Map Lecture 87 Recapitulation of what we Learned in This Module Lecture 88 Final Words Environmental engineering students,Ecological enthousiasts,Marine science enthusiasts,Environmental engineers,Researchers and Academics,Professionals in Environmental or Civil Engineering,Hobbyists and Enthusiasts,Science enthousiasts,Anyone Interested in Spatial Data,NGOs and Humanitarian Workers,Students and Beginners in GIS Homepage: https://www.udemy.com/course/qgis-for-beginners-master-gis-with-real-world-projects/ DOWNLOAD NOW: Qgis For Beginners - Master Gis With Real-World Projects Rapidgator https://rg.to/file/1d12393d0bacce0c7f4d485dc23064fc/gtxmb.Qgis.For.Beginners.Master.Gis.With.RealWorld.Projects.part4.rar.html https://rg.to/file/3faab0b0b7af106048932ac675807213/gtxmb.Qgis.For.Beginners.Master.Gis.With.RealWorld.Projects.part1.rar.html https://rg.to/file/459ff1cdc67d382c1b4d9850e0b4a80d/gtxmb.Qgis.For.Beginners.Master.Gis.With.RealWorld.Projects.part5.rar.html https://rg.to/file/9c7fa768c591fa31391e25686e058b15/gtxmb.Qgis.For.Beginners.Master.Gis.With.RealWorld.Projects.part6.rar.html https://rg.to/file/9c83eccf154d946f5f282eed90029bb0/gtxmb.Qgis.For.Beginners.Master.Gis.With.RealWorld.Projects.part3.rar.html https://rg.to/file/c3abe9699006271dd68da1ea1506b9ac/gtxmb.Qgis.For.Beginners.Master.Gis.With.RealWorld.Projects.part2.rar.html Fikper Free Download https://fikper.com/0ueOfMeKPI/gtxmb.Qgis.For.Beginners.Master.Gis.With.RealWorld.Projects.part1.rar.html https://fikper.com/1KW3UH2960/gtxmb.Qgis.For.Beginners.Master.Gis.With.RealWorld.Projects.part4.rar.html https://fikper.com/6qZmXUwnfG/gtxmb.Qgis.For.Beginners.Master.Gis.With.RealWorld.Projects.part6.rar.html https://fikper.com/DPoxjXNK3P/gtxmb.Qgis.For.Beginners.Master.Gis.With.RealWorld.Projects.part5.rar.html https://fikper.com/Vg0QPm6RZ9/gtxmb.Qgis.For.Beginners.Master.Gis.With.RealWorld.Projects.part3.rar.html https://fikper.com/zPPJQJewIz/gtxmb.Qgis.For.Beginners.Master.Gis.With.RealWorld.Projects.part2.rar.html : No Password - Links are Interchangeable

Free Download Mastering Spss & Deepseek - Real-World Data Analysis Projects Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 532.99 MB | Duration: 0h 52m Master SPSS & DeepSeek: Real-World Data Analysis, Statistical Techniques, Predictive Modeling, and Data Visualization What you'll learn Master SPSS for Data Analysis Leverage DeepSeek for Enhanced Insights Apply Real-World Data Analysis Techniques Create Comprehensive Reports and Visualizations Requirements Basic Understanding of Statistics: Familiarity with basic statistical concepts (mean, median, standard deviation, etc.) is helpful but not mandatory. No Prior SPSS or DeepSeek Experience Required: This course is designed to be accessible to beginners, with step-by-step guidance provided throughout. Tools/Equipment: A computer with SPSS installed (trial version is acceptable) and an internet connection to access DeepSeek. Description Mastering SPSS & DeepSeek: Real-World Data Analysis Projects is designed for students, researchers, business analysts, and freelancers who want to master statistical analysis, predictive modeling, and AI-assisted data insights. This course will help you to unlock the power of data analysis with SPSS and DeepSeek! Designed for beginners and professionals alike, this course will also take you through real-world data analysis projects drawn from my 6 years of freelancing experience. You'll learn how to clean, analyze, and visualize data using SPSS, while leveraging DeepSeek to automate processes and uncover deeper insights.What you'll learn from this Course:Data Preparation & Cleaning: Master techniques to handle missing data, outliers, and transform datasets for analysis.Statistical Analysis: Perform hypothesis testing, correlation, regression, and advanced techniques like factor analysis.Predictive Modeling: Build predictive models for sales forecasting and survey data analysis. Reporting & Visualization: Create professional reports and visualizations to communicate insights effectively.Whether you're an aspiring data analyst, a business professional, or a researcher, this course equips you with the skills to tackle real-world data challenges. By the end, you'll be confident in using SPSS and DeepSeek to deliver actionable insights and make data-driven decisions. Enroll now and take your data analysis skills to the next level! Overview Section 1: Introduction Lecture 1 Introduction and Course Objectives Lecture 2 Links to My Other Courses Section 2: Project 1: Back Pain Continuation Study Dataset Lecture 3 Project Overview Lecture 4 SPSS Data Analysis: Data Cleaning, Descriptive Statistics & Assumption Testing Lecture 5 SPSS Data Analysis: Correlation & Regression Analysis Lecture 6 Reporting the Results Lecture 7 Getting Started with Data Analysis using DeepSeek Section 3: Project 2: US Birth and Fertility Trends Dataset Lecture 8 Project Overview Lecture 9 SPSS Data Analysis: Data Visualization, Graphs & Descriptive Statistics Lecture 10 SPSS Data Analysis: Correlation & Regression Analysis Lecture 11 Reporting the Results Lecture 12 Data Analysis using DeepSeek and its Limitations Section 4: More Projects are Coming Soon Lecture 13 More Projects are Coming Soon Students & Researchers looking to analyze data for academic projects.,Business & Marketing Analysts who want to leverage SPSS for decision-making.,Freelancers & Consultants aiming to offer data analysis services.,Data Enthusiasts & Beginners who want to break into data analysis with SPSS. Homepage: https://www.udemy.com/course/mastering-spss-deepseek-real-world-data-analysis-projects/ DOWNLOAD NOW: Mastering Spss & Deepseek - Real-World Data Analysis Projects Rapidgator https://rg.to/file/7d16ceb0f112fec276ca25559275b66b/vwjft.Mastering.Spss..Deepseek.RealWorld.Data.Analysis.Projects.rar.html Fikper Free Download https://fikper.com/TWxvBahFmn/vwjft.Mastering.Spss..Deepseek.RealWorld.Data.Analysis.Projects.rar.html : No Password - Links are Interchangeable

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Free Download Agile & Scrum Project Management - A Real-World Approach Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.92 GB | Duration: 2h 59m Agile & Scrum in Action: Real-World Case Study, Jira & Kanban-Deliver Faster, Smarter & Earn 4 PDUs for renewal What you'll learn Explain what is Agile project management, values and principles How to launch products faster and keep track of them Learn by doing with a step-by-step case study: QuickBite, a food ordering app built using Agile. Agile Planning & Estimation: Prioritize product backlogs, estimate tasks, and plan sprints effectively. How to deliver value to the business with Scrum Practical tips and guidelines for effective Scrum Events (ceremonies) Develop key Agile skills-creating user stories, prioritizing backlogs, sprint planning, and release planning. Plan your Agile career with learning paths, certification guidance, and next steps. Access exclusive resources-cheat sheets, templates, checklists, and ready-to-use AI-powered Agile prompts. More "value" per second of course (rather more seconds as value) Requirements Curiosity and discipline to learn A willingness to learn through practical examples. No prior experience is needed-this course is beginner-friendly. Description Master Agile Project Management with a Practical, Hands-on Approach!This course simplifies Agile using a real-world case study: QuickBite, a food ordering app. You'll learn not just the "what" but also the "how"-how to apply Agile, Scrum, and Kanban to real projects.Agile Fundamentals: Understand what Agile is, why it's powerful, and how it differs from traditional project management.Scrum Framework: Master roles, events, and artifacts with a case study-driven approach.Kanban Mastery: Learn how to visualize work, limit work in progress, and optimize delivery flow.Agile Planning & Estimation: Prioritize product backlogs, estimate tasks, and plan sprints effectively.Tracking Agile Projects: Explore key Agile metrics like velocity, burndown charts, and Jira-based tracking.Hands-on Learning: Work through a real-world project, apply Agile concepts, and get ready-to-use templates & checklists.Why This Course?Master Agile Project Management with a Practical, Hands-on Approach!100% Practical Approach - No fluff, only actionable knowledge.Real-World Example (QuickBite App) - Learn Agile by applying it, not just reading about it.Step-by-Step Guidance - Beginner-friendly with clear explanations and exercises.Earn 4 PDUs - Helps in your PMI renewal journey.By the end of this course, you won't just understand Agile-you'll be able to apply it confidently to your projects!Enroll now and start your Agile journey today! Overview Section 1: Introduction to Agile Project Management Lecture 1 Course Overview & Who Will Benefit the Most Lecture 2 Know Your Instructor Lecture 3 How to get the best out of this course! Lecture 4 What of Agile Project Management? Lecture 5 Why Agile works in VUCA world? Lecture 6 Case Study - QuickBite Food Ordering App Lecture 7 Agile vs. Traditional Project Management Lecture 8 Agile Myths Busted Section 2: Core Values and Principles of Agile Lecture 9 Origin of Agile and Manifesto Lecture 10 Understanding Agile Principles through QuickBite Lecture 11 Download Resources Lecture 12 The complexity Theory - Stacey Matrix Lecture 13 Overview of Agile Frameworks Section 3: Understanding & Implementing the Scrum Framework Lecture 14 What is Scrum? Lecture 15 Solutioning QuickBite Food Ordering App Lecture 16 The Scrum Framework with QuickBite App Lecture 17 How Scrum Addresses Complex Problem? Lecture 18 Scrum Roles - Product Owner Lecture 19 Scrum Roles - Scrum Master Lecture 20 Scrum Roles - Developers Lecture 21 Understanding Scrum Events (ceremonies) Lecture 22 Practical tips for Scrum Events (ceremonies) Section 4: Release Planning and Estimation Lecture 23 Agile Planning Onion and Release Planning Lecture 24 Creating Product Backlog for QuickBite App Lecture 25 Why Prioritization and Key Techniques for Prioritization Lecture 26 Key Prioritization Techniques (part 2) Lecture 27 User Stories & Estimation Lecture 28 Understanding Definition of Ready and Definition of Done Lecture 29 Sample Sprint Calendar for QuickBite App Development Section 5: Agile Metrics and Tools Lecture 30 Introduction to Metrics and its Importance Lecture 31 Key Metrics in Agile Lecture 32 Tracking Progress: QuickBite App Lecture 33 Agile Project Management tools and Jira (with Demo) Section 6: Kanban Framework Lecture 34 What and When of Kanban? Lecture 35 Core Principles of Kanban Lecture 36 Casestudy: Metrics for QuickBite App Section 7: Course Summary and Next Steps Lecture 37 Recap of Key Learnings Lecture 38 Agile Certification Paths Lecture 39 Resources for Further Learning and Next Steps Section 8: Claiming 4 PDUs on PMI portal Lecture 40 Inputs to claim 4 PDUs on PMI portal People who want to learn about Scrum and Agile.,Beginners, people without any Agile experience or knowledge.,People who have heard the words "vision", "epic", "Feature", "user stories," "backlog," "retrospectives," "sprints," "scrum master," "product owner," "MVP," "kanban board," etc. and wondered what it meant.,Aspiring Scrum Masters and Product Owners,People who want to learn about the most important and popular Agile Methodology: SCRUM.,People who want to understand the differences between Waterfall and Scrum,People who want to open the door to new job opportunities,People who want to explain Scrum and Agile concepts easily and with practical examples for the interview,Project Managers transitioning from traditional to Agile methodologies. 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Free Download TPM Mastery From Fundamentals to Real-World Implementation Published: 2/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 4h 41m | Size: 2.47 GB TPM (Total Productive Maintenance) Mastery: From Foundational Japanese Principles to Real-World Implementation What you'll learn TPM Fundamentals: Understand the origins of TPM, the traditional 8 pillars and 3 key pillars; how to deploy TPM from scratch in a new factory setting. Autonomous Maintenance (AM) Deep Dive: deploy AM from zero, step-by-step, to foster ownership, enhance technical competency, and drive your facility Focus Improvement (FI): learn to identify, analyze, and implement countermeasures to eliminate or significantly reduce 16 types of losses, maximizing OEE Planned Maintenance Mastery: Develop a comprehensive understanding of planned maintenance strategies, including preventive, predictive to gain best MTTR, MTBF Practical TPM Implementation: Beyond the theory, this course provides practical guidance on deploying TPM in real-world scenarios. Requirements Only need basic concepts of machine maintenance. Description Total Productive Maintenance (TPM) Mastery: From Foundational Japanese Principles to Real-World ImplementationThis comprehensive Total Productive Maintenance (TPM) course provides a unique blend of foundational knowledge, derived directly from Japanese TPM experts, and extensive practical experience gained over 8 years of implementing TPM at leading international companies across diverse manufacturing sectors, including food & beverage, electronics, and automotive.This course isn't just theory. It's a distillation of real-world success, compressing years of experience into a practical, actionable framework. We've successfully deployed TPM from the ground up, helping factories achieve world-class status and significantly improve key performance indicators, including MTTR (Mean Time to Repair), MTBF (Mean Time Between Failures), and OEE (Overall Equipment Effectiveness), resulting in substantial cost savings.While covering all 8 pillars of the TPM house, this training focuses on the critical core:- Jishu Hozen (Autonomous Maintenance): Empower operators to take ownership of their equipment.- Kobetsu Kaizen (Focused Improvement): Drive targeted improvements through effective problem-solving.- Planned Maintenance: Implement a proactive maintenance strategy to minimize downtime.You'll gain a deep understanding of the theory behind these pillars, reinforced by practical examples and real-world case studies. This course provides the tools and knowledge you need to implement TPM effectively in any manufacturing environment, regardless of industry.Upon completion, you'll receive a certification of completion, which you can leverage to enhance your career prospects in the field of manufacturing and operations management.A note on Audio: While my native language may influence my spoken English, all video content is subtitled to ensure clear comprehension. The focus remains on delivering high-quality, impactful training content. Who this course is for Maintenance technician, engineer, manager Manufacturing excellent engineer, supervisor, manager Process engineer, supervisor, manager Who want to improve machine efficiency and maintenance performance: OEE, MTTR, MTBF Who wants to find a methodology for their factory operations to become more profitable in all aspects because TPM is for all aspects of the factory, not just maintenance. Homepage: https://www.udemy.com/course/tpm-mastery-from-fundamentals-to-real-world-implementation/ DOWNLOAD NOW: TPM Mastery From Fundamentals to Real-World Implementation Rapidgator https://rg.to/file/063542766d3618a4fba7d8b6f7b8fb41/gqkux.TPM.Mastery.From.Fundamentals.to.RealWorld.Implementation.part1.rar.html https://rg.to/file/51421ae057e2b1cbcbf96599c6bcc302/gqkux.TPM.Mastery.From.Fundamentals.to.RealWorld.Implementation.part2.rar.html https://rg.to/file/385c2d2b5de11dd0fcf8dccf9ea234df/gqkux.TPM.Mastery.From.Fundamentals.to.RealWorld.Implementation.part3.rar.html Fikper Free Download https://fikper.com/Iap9w09Gnu/gqkux.TPM.Mastery.From.Fundamentals.to.RealWorld.Implementation.part1.rar.html https://fikper.com/08yQtIrFtG/gqkux.TPM.Mastery.From.Fundamentals.to.RealWorld.Implementation.part2.rar.html https://fikper.com/s3Nxfh15PK/gqkux.TPM.Mastery.From.Fundamentals.to.RealWorld.Implementation.part3.rar.html : No Password - Links are Interchangeable

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Free Download SAP ReFx - Flexible Real Estate Management Published 10/2024 Created by Rama Shanker Sharma MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 12 Lectures ( 12h 40m ) | Size: 5.3 GB SAP ReFx - Flexible Real Estate Management What you'll learn This course includes business process of SAP Flexible Real Estate Management , required transactions to be executed for the process and relevant configurations. People who want to make their career as SAP ReFx consultants, this course is best suitable to understand the business processes and all relavant settings . This course includes the master data of ReFx and CRE-Commercial Real Estate Management Hands on experience on ReFx Requirements Basic knowledge of SAP and Real Estate Management business process understanding Description This course explains deep understanding of SAP Flexible Real Estate Management (ReFx). In this course I have taken some business case and explained the scenarios along with transactions and relevant configuration requirement. this course covers all basic setting required for ReFx and required relevant configuration for FICO.The real estate contract lets you manage all contracts related to your real estate portfolio:Real estate contracts of the lease-in category (such as, commercial, internal, residential)Real estate contracts of the lease-out category (such as, commercial, internal, residential)General customer contracts (such as, service contracts with the tenant)General vendor contracts (such as, maintenance contracts with a service provider)G/L account contracts (such as, for posting reserves for service charges)Security deposit agreementsYou can assign any number of rental objects from different business entities, buildings or company codes to any one contract. When defining conditions and other contract terms, you can group the assigned objects together into object groups .Space and room management takes account of unusual architectural structures, usage considerations, as well as technical amenities and features. You can define spaces flexibly and rent them (extracting them from a larger available space). In addition, data exchange with external graphic systems allows you to visually represent your real estate objects. Who this course is for People who want make career as SAP ReFx Consultant Homepage https://www.udemy.com/course/sap-refx-for-consultant/ Screenshot Rapidgator https://rg.to/file/0912e1e298cf3c791f988e43423b09da/pjcde.SAP.ReFx..Flexible.Real.Estate.Management.part4.rar.html https://rg.to/file/150fe16d60370ce39eb91f0e28cf1a5a/pjcde.SAP.ReFx..Flexible.Real.Estate.Management.part1.rar.html https://rg.to/file/3b63fad96e8a73abb1f032657737d07d/pjcde.SAP.ReFx..Flexible.Real.Estate.Management.part6.rar.html https://rg.to/file/431952c94c841c42c62c9155bc5b904d/pjcde.SAP.ReFx..Flexible.Real.Estate.Management.part2.rar.html https://rg.to/file/4b59e8b0c4f0b59c270518c19ad7368b/pjcde.SAP.ReFx..Flexible.Real.Estate.Management.part5.rar.html https://rg.to/file/80cd280da13a80690c16e460166d0715/pjcde.SAP.ReFx..Flexible.Real.Estate.Management.part3.rar.html Fikper Free Download https://fikper.com/DYt6Uxgdhs/pjcde.SAP.ReFx..Flexible.Real.Estate.Management.part6.rar.html https://fikper.com/EIUnuoCQsE/pjcde.SAP.ReFx..Flexible.Real.Estate.Management.part3.rar.html https://fikper.com/HKhGymIMy1/pjcde.SAP.ReFx..Flexible.Real.Estate.Management.part4.rar.html https://fikper.com/aTVlFAIrwZ/pjcde.SAP.ReFx..Flexible.Real.Estate.Management.part5.rar.html https://fikper.com/lE83mQQKfd/pjcde.SAP.ReFx..Flexible.Real.Estate.Management.part1.rar.html https://fikper.com/oDbMa15Pcw/pjcde.SAP.ReFx..Flexible.Real.Estate.Management.part2.rar.html No Password - Links are Interchangeable

Free Download Real-Time Operating Systems Design and Implementation Published 10/2024 Created by Dr. R. Anto Arockia Rosaline,Nancy p,Vinod D MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 41 Lectures ( 5h 36m ) | Size: 4.14 GB Process Synchronization, Process Scheduling, Deadlocks, Memory Management, Disk Scheduling What you'll learn Choose the relevant process and thread concepts for solving synchronization problems. Implement different types of scheduling algorithms. Exemplify various deadlock mechanisms. Apply paging and segmentation in memory management and incorporate page fault handling, demand paging. Demonstrate the storage management techniques through various File Management techniques. Requirements No Programming experience required. Description This course offers a comprehensive introduction to fundamental operating system concepts, focusing on key areas like process synchronization, scheduling, memory management, and disk handling. You will gain an in-depth understanding of synchronization techniques such as the Bounded Buffer Problem, Peterson's Solution, Mutex Locks, Semaphores, and the Reader-Writer Problem, which are critical for managing the coordination between multiple processes. The course also covers a wide range of scheduling approaches, including thread scheduling, real-time CPU scheduling, and multi-processor scheduling, all aimed at optimizing CPU resource allocation for better performance.In addition to process management, you'll dive into deadlock handling, learning methods to detect, prevent, and recover from deadlocks, ensuring system stability and efficiency. The course covers essential memory management techniques like swapping, segmentation, paging, and virtual memory, which are critical for efficient data handling. Practical strategies for implementing page replacement policies and avoiding thrashing are explored, giving you the tools to manage memory allocation effectively in high-demand situations.Disk management is another major focus of the course, where you'll learn about disk scheduling algorithms, RAID structures, and file system organization. The course emphasizes important aspects of file sharing and protection mechanisms to ensure secure and efficient file access and management.By the end of the course, you will have developed the skills and knowledge needed to tackle real-world operating system challenges. Whether you are a professional, developer, or a tech enthusiast, this course is ideal for those seeking to deepen their understanding of operating systems. Who this course is for This course is tailored for undergraduate students pursuing degrees in computer science, information technology, or related disciplines. It is ideal for learners seeking to gain a solid foundation in the core principles and functions of modern operating systems. Homepage https://www.udemy.com/course/real-time-operating-systems-design-and-implementation/ Screenshot Rapidgator https://rg.to/file/13857b0561971601da88980b8a5a3b4c/tbdjx.RealTime.Operating.Systems.Design.and.Implementation.part3.rar.html https://rg.to/file/6cd997b5f0bb6c54d40b0d1d2b247add/tbdjx.RealTime.Operating.Systems.Design.and.Implementation.part1.rar.html https://rg.to/file/7f359a340fd3e7668ee73d99189992f5/tbdjx.RealTime.Operating.Systems.Design.and.Implementation.part2.rar.html https://rg.to/file/84ad867ca09499ce77cc40bf9d76fd64/tbdjx.RealTime.Operating.Systems.Design.and.Implementation.part4.rar.html https://rg.to/file/f74a72507d6ceb94b7fda5c143971dc2/tbdjx.RealTime.Operating.Systems.Design.and.Implementation.part5.rar.html Fikper Free Download https://fikper.com/0orEJO4QS7/tbdjx.RealTime.Operating.Systems.Design.and.Implementation.part3.rar.html https://fikper.com/Vivj7rpl0M/tbdjx.RealTime.Operating.Systems.Design.and.Implementation.part4.rar.html https://fikper.com/m8g1IqSikJ/tbdjx.RealTime.Operating.Systems.Design.and.Implementation.part1.rar.html https://fikper.com/qN8rldbbCt/tbdjx.RealTime.Operating.Systems.Design.and.Implementation.part5.rar.html https://fikper.com/tku8ParFbZ/tbdjx.RealTime.Operating.Systems.Design.and.Implementation.part2.rar.html No Password - Links are Interchangeable

Free Download Real World Hacking & Bug Bounty Hunting - XSS & SQLi Edition Published 10/2024 Created by Vulnsec HBCP MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 20 Lectures ( 2h 51m ) | Size: 1.82 GB Master Practical XSS & SQL Injection for Real-World Hacking & Bug Bounty Hunting & Penetration Testing & Ethical Hacking What you'll learn Real World scenarios Advanced payload crafting for XSS and SQLi exploitation. Using automated tools to detect and exploit XSS and SQL vulnerabilities. Database exfiltration Real World Targets Defensive techniques to prevent XSS and SQL Injection. Exploiting SQL Injection attacks to bypass authentication and extract data. WAF Bypass Identifying XSS vulnerabilities in real-world applications. Bug bounty strategies to maximize rewards for web vulnerability findings. Requirements No experience needed No prior knowledge are needed Description Unlock the secrets of web hacking and bug bounty hunting with Real World Hacking & Bug Bounty Hunting: XSS & SQL Edition. This course is designed to provide you with hands-on experience in discovering and exploiting two of the most common web vulnerabilities: Cross-Site Scripting (XSS) and SQL Injection (SQLi). Whether you're an aspiring ethical hacker, a bug bounty hunter, or a developer, this course will equip you with the practical skills to identify, exploit, and prevent these critical vulnerabilities.In this course, you'll dive deep into real-world scenarios to learn how XSS and SQL Injection attacks work in practice. Starting from the basics, we will explore how these vulnerabilities are introduced into web applications and how attackers leverage them to steal data, manipulate databases, and take control of user accounts. You'll not only understand the theoretical concepts behind these attacks but also gain the ability to craft advanced payloads and execute attacks in real-world environments.Some key topics you'll cover include:How to detect and exploit XSS vulnerabilities across various types of web applications.The intricacies of SQL Injection attacks, from basic queries to advanced exploitation techniques.The use of automation tools to aid in vulnerability scanning and exploitation.Defensive coding practices that prevent XSS and SQL Injection attacks.Proven bug bounty strategies to help you find vulnerabilities and maximize your earnings.By the end of this course, you will have a strong understanding of how to hunt for and exploit XSS and SQL Injection vulnerabilities in real-world applications. This knowledge will give you an edge in the competitive field of cybersecurity and bug bounty hunting. Who this course is for Aspiring ethical hackers and penetration testers who want to master XSS and SQL Injection vulnerabilities. Bug bounty hunters seeking real-world insights to identify and exploit web application weaknesses. Cybersecurity enthusiasts looking to deepen their understanding of web vulnerabilities and secure coding practices. Developers aiming to learn how to identify and mitigate XSS and SQL Injection vulnerabilities in their applications. Intermediate-level security professionals who want hands-on experience with practical hacking techniques used in the wild. Homepage https://www.udemy.com/course/real-world-hacking-bug-bounty-hunting-xss-sql-edition/ Screenshot Rapidgator https://rg.to/file/a622b9619b0c1df52a0a4391304774b1/oobqe.Real.World.Hacking..Bug.Bounty.Hunting.XSS..SQLi.Edition.part2.rar.html https://rg.to/file/ab7f7d51953ed16561e8a47aa9e9d081/oobqe.Real.World.Hacking..Bug.Bounty.Hunting.XSS..SQLi.Edition.part1.rar.html Fikper Free Download https://fikper.com/0IXd6g1tie/oobqe.Real.World.Hacking..Bug.Bounty.Hunting.XSS..SQLi.Edition.part2.rar.html https://fikper.com/dYOx7WFsbF/oobqe.Real.World.Hacking..Bug.Bounty.Hunting.XSS..SQLi.Edition.part1.rar.html No Password - Links are Interchangeable

Free Download Real Estate Financial Modeling - Basics to Expert Case Study Published 10/2024 Created by EDUCBA Bridging the Gap MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 91 Lectures ( 12h 1m ) | Size: 5.1 GB Real estate skills with hands-on modeling skills, in-depth property valuation techniques, and dynamic case studies. What you'll learn Understand the basic concepts and terminology of real estate. Identify different types of real estate and their characteristics (residential, commercial, land). Analyze the real estate market and recognize opportunities. Evaluate factors influencing supply and demand in the real estate sector. Apply real estate valuation methods, including discounted cash flow (DCF) analysis and the Percentage of Completion method. Understand the cost components associated with real estate properties. Identify and evaluate risks associated with real estate investments for both lenders and borrowers. Analyze liquidity risks and factors affecting the valuation of properties. Calculate lease rentals and understand the concept of terminal value. Analyze cash flows for debt service and understand the debt service coverage ratio (DSCR). Engage in case studies to apply theoretical concepts to real-world scenarios. Understand the implications of upfront and deferred collections in real estate financing. Utilize key financial metrics such as EBITDA and IRR for investment analysis. Conduct cash flow analyses for equity investors. Employ comparable transaction methods to assess property value. Analyze demographic data and market conditions for investment decisions. Requirements Basic Understanding of Real Estate Concepts A basic understanding of mathematics, including algebra and statistics, is necessary for financial calculations and modeling. Proficiency in Microsoft Excel or similar spreadsheet software is required, as the course involves extensive use of spreadsheets for modeling and analysis. Description Real estate finance can be complex, but mastering it is essential for anyone aiming to work in real estate investment, development, or finance. This comprehensive course offers a deep dive into real estate modeling, starting from basic concepts and moving through advanced financial techniques. By the end of the course, you'll gain not only a strong understanding of real estate fundamentals but also the ability to construct sophisticated financial models for various types of real estate projects.Section 1: IntroductionThis section introduces you to real estate modeling, laying the groundwork for understanding how real estate investments are structured and analyzed. You'll become familiar with the key objectives and skills required to succeed in this field, preparing you for the hands-on techniques and models covered throughout the course.Section 2: Concepts of Real EstateIn this section, we delve into core real estate concepts, including the divisions in real estate, market dynamics, and various property types. From residential and commercial real estate to the risks associated with lenders and borrowers, you'll gain a solid understanding of the factors that influence property demand, valuation, and investment risk. Additionally, this section covers the construction stages, property types, and risk assessments vital for informed decision-making in real estate.Section 3: ValuationReal estate valuation is fundamental to investment decisions. This section covers essential valuation techniques and introduces various sources of funding, helping you understand how properties are appraised and financed. By the end of this section, you'll be able to assess a property's market value using professional methodologies.Section 4: Lease Rental DiscountingThis section teaches lease rental discounting, a crucial aspect of income-generating properties. You'll learn about terminal value, calculate lease rentals, and analyze profit and loss accounts to determine a property's financial viability. Techniques like DSCR (Debt Service Coverage Ratio) are also covered, ensuring that you can measure the property's ability to cover debt obligations.Section 5: Percentage of Completion MethodIn this section, you'll explore the Percentage of Completion Method, a key approach for evaluating projects under construction. Topics covered include cost allocation, promoters' contributions, interest during construction, and EBITDA calculations. You'll gain skills in assessing project progress, capital interest, and soft costs, which are all essential for determining project profitability.Section 6: Loan Against Property ModelUnderstanding loan structures is vital for real estate financing. This section covers loan-against-property models, including calculating property value, evaluating loan rates, and understanding term loans. You'll also learn how to assess project costs, making you adept at creating financing structures that support successful real estate developments.Section 7: Case StudyIn this case study section, you'll apply your knowledge to real-world examples. Through projects like the Lyric Apartment case study, you'll work with unit mixes, demographics, and comparable transactions, and calculate cash flows to equity investors. This hands-on experience is invaluable for translating theoretical knowledge into practical investment analysis.Section 8: Case Study on LRIC REPEThis section explores advanced real estate private equity (REPE) case studies, focusing on valuation methods like multiples and perpetuity growth. You'll learn about exit cap rates, real estate market descriptions, and opportunistic investment strategies, gaining insight into the assessment of high-yield investment opportunities.Section 9: Case Study on Real Estate ModelingIn the final section, we focus on a comprehensive real estate modeling case study. You'll compare properties, evaluate investment analysis models, and calculate interest coverage ratios. This final case study cements your learning, providing you with the skills and confidence to tackle real-world real estate projects independently.ConclusionUpon completing this course, you'll have a strong command of real estate modeling, valuation, and financial analysis. From assessing market opportunities to performing complex cash flow and IRR calculations, you'll be ready to excel in real estate finance. Equipped with practical skills and case study experience, you'll be well-prepared to make strategic real estate investment decisions, whether you're a professional in the industry or a newcomer looking to build expertise. Who this course is for Individuals looking to start a career in real estate investment, development, or management will find this course invaluable for building foundational skills. Real estate agents, brokers, and property managers seeking to enhance their analytical skills and understanding of real estate modeling techniques will benefit greatly. Professionals in finance or investment roles who wish to deepen their knowledge of real estate investments and valuation methodologies. 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Free Download Python Mastery Devops, Automation, And Real-World Use Cases Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.23 GB | Duration: 9h 0m From Coding Fundamentals to Cloud Automation, GitHub Integration, CI/CD Automation with Jenkins and Game Development What you'll learn Python coding practice About Data Types in Python Regular Expression (regex) in Python How to identify and apply keywords in code How to declare and assign values to variables. The purpose and function of the return statement in functions. Python Functions: Definition and Usage Utilizing Modules in Function Design Organizing Your Code Using Python Packages The use of the sys module to access command line arguments The different types of operators in Python, including arithmetic, comparison, logical, and assignment operators. DevOps Use Cases with if..else..elif For/While Loops in Python: Syntax and Usage Real-time Use Case: Lists and Exception Handling in Python Python Script for Handling Exceptions Using Try Statements Integrating Python with GitHub Through the GitHub API Cloning a GitHub Repository with Python Performing operations on various AWS services like S3, EC2 using Boto3 Python Module Launching an EC2 Instance using Boto3 Python Module CI/CD Automation with Jenkins and Python Integrate GitHub Webhooks With Jenkins Develop Games in Python with PyCharm and ChatGPT Requirements Basic Computer Skills: Familiarity with using a computer and navigating the internet. No Prior Programming Experience Required: This course is designed for beginners, so no previous programming knowledge is necessary. Basic Knowledge of DevOps is required Description Python for DevOps means using Python to make DevOps tasks easier and more efficient. 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Python helps DevOps teams work faster and more effectively by reducing manual work and making processes smoother.Course Outline:Section1: Introduction-> Introduction-> An overview of Python-> About Shell Scripting-> Python vs. Shell Scripting-> When to Use Python vs. Shell ScriptingSection2: How to Begin Practicing Python Coding-> Begin Python Coding Practice-> Visual Studio Code - Python Coding Practice-> PyCharm - IDEs-> Codespaces - Online Coding PlatformSection3: Python Data Types-> About Data Types in Python-> Lab - String Data Type-> Lab - Integer Data Type-> Lab - Float Data Type-> Lab - len(), Length of a string-> Lab - String upper(), lower()-> Lab - String replace()-> Lab - String split()-> Lab - Print specific object in split()-> About List in Python-> Lab - List Data Type-> Lab - Add and Modify in a List Data Type (Mutable)-> About Tuples in Python-> Lab - Tuples in Python-> About Sets in Python-> Lab - Sets in Python-> Dictionary in Python-> Lab - Dictionary in Python-> Use Cases in DevOps-> Boolean Data Types-> Lab - Boolean in Python-> Coding Exercise 1:Create a Python script to add two integers-> Coding Exercise 2:Create a python script to perform operation of floating-point-> Coding Exercise 3:Write a python script to determine the length of a string-> Coding Exercise 4:Create a python script to convert a string to uppercase and lowercase-> Coding Exercise 5:Create a Simple python Script to replace a substring within a string-> Coding Exercise 6:Create a Simple python script to Split the text of a string-> Coding Exercise 7:Create a python script to define a Variable and assign it a list of five integersSection4: Regular Expression (regex) in Python-> Overview of Regular Expressions in Python-> Lab - Using re. match() to Match Patterns at the Start of a String-> Lab - Using re. search() to Find Matches Anywhere in a String-> Lab - Using re. findall() to Search for All Matches in a String-> Regex Use Cases from a DevOps Perspective-> Coding Exercise 8:Regular Expression in python-> Section5: Mastering Keywords in Python-> Overview of Keywords in Python-> Common Python keywords-> Mastering Control Flow Keywords - if, else, for, and break-> Lab: Mastering Control Flow Keywords - continue, def, return, class, import etc.Section6: Working with Variables in Python-> Overview of Variables with Example-> Lab: Working with Float Variables in Python-> Lab: Defining Lists as Variables in Python-> Lab: Working with Dictionary Variables in Python-> Python Variables: Local vs Global Scope-> Lab: Working with Local Variables in Python-> Lab: Working with Global Variables in PythonSection7: Return Statement in Python-> Return Statement: An Overview with Syntax-> Lab: Creating Functions That Return Values-> Lab: Functions That Return Multiple Values-> Lab: Function for Identifying Even and Odd ValuesSection8: Python Functions: Definition and Usage-> Introduction to Functions in Python-> Advantages of functions in Python-> Lab: Functions with Parameters-> Lab: Functions with Return Value-> Lab: Designing Functions for Basic Arithmetic Operations-> Comparing Scripts: Using Functions vs. Not Using FunctionsSection9: Utilizing Modules in Function Design-> Introduction to Python Modules-> An Overview of Built-in Modules-> An Overview of User-defined Modules-> Lab: Essential Built-in Modules in Python-> Lab: OS and Math Modules-> Lab: Building Your Own ModulesSection 10: Python Packages: Organizing Your Code-> Introduction to Python Packages-> Key Concepts of Packages-> Advantages of Using Packages-> Lab: Creating Package Structures and Modules-> Importing Modules for Easier Access using __init__. py-> Creating a Main Python File to Utilize Your Package-> Importing Functions from a PackageSection 11: Command Line Arguments in Python-> Command Line Arguments with Practical Examples-> Lab: Script to Add Two Numbers (No Command Line Arguments)-> Lab: Working with sys. argv for Command Line Arguments-> Lab: Passing Multiple Arguments to Python Scripts-> Lab: Pass Arguments to Add Two Numbers-> Lab: Conditional Arithmetic via Script Arguments-> Lab: Conditional Arithmetic Using Script ArgumentsSection 12: Operators in Python: Concepts and Examples-> The Basics of Arithmetic Operators in Python-> Lab: Exploring Comparison (Relational) Operators-> Lab: Comparison Operators (=, >, >=, ==)-> Logical Operators: and, or, not-> Lab: Using 'and' , 'or' for Logical Operations-> Lab: Using 'not' for Logical Operations-> Assignment Operators in Python-> Lab: Understanding Different Assignment Operators-> Membership Operators: 'in' and 'not in'-> Lab: Using 'not in' Membership Operators-> Operators in DevOps: Practical Use Cases-> Use Cases for Operators in the DevOps WorkflowSection 13: Conditional Statements in Python-> Understanding 'if' statement in Python-> Understanding 'else'..'elif' statement in Python-> Lab: Implementing if..else Statements-> Lab: DevOps Use Cases with if..else..elifSection 14: Understanding Loops in Python-> For Loops in Python: Syntax and Usage-> While Loops in Python: Syntax and Usage-> Lab: Implementing For Loops-> Lab: Printing Ranges and Strings with For Loops-> Lab: Implementing Infinite While Loops-> Lab: Exploring Break Statements in PythonSection 15: Real-time Use Case: Lists and Exception Handling in Python-> Introduction to the Real-Time Project-> Lab: User Input for List Creation-> Lab: Understanding split function text.split()-> Lab: Identify modules and their functions-> Lab: Utilize a for loop to list files-> Exception Handling with Try Statement-> Lab: Python Script for Handling Exceptions Using Try Statements-> Lab: Handling Error - FileNotFoundError-> Lab: Handling Known Error - PermissionErrorSection 16: Integrating Python with GitHub-> Integrating Python with GitHub Through the GitHub API-> Lab: Install PyGithub and Generate a GitHub Access Token-> Lab: Retrieve User Login and Public Repos with Python-> Lab: Retrieve GitHub Account Repository List-> Lab: Create a New Repository with PythonSection 17: Cloning a GitHub Repository with Python-> Clone a Repository Using the Subprocess Module-> Lab: Clone a Repository with the Subprocess Module-> Lab: Using GitPython Library-> Lab: Handle Git Errors with Exception HandlingSection 18: Boto3 Python Module-> Introduction to the Boto3 Python Module-> Lab: Install Boto3 and Create an AWS User Account-> Lab: Configure GitHub Access from Codespaces via AWS CLI-> Lab: List All Buckets with Boto3-1-> Lab: List All Buckets with Boto3-2-> Lab: List All Buckets with Boto3-3-> Lab: Upload a File to a Bucket Using Boto3-> Lab: Download a File to a Bucket Using Boto3Section 19: Launching an EC2 Instance using Boto3 Python Module-> Project Overview-> Setting Up a User Account in AWS with IAM-> Set Up AWS CLI in Codespaces-> Begin Python Script: Import Boto3-> Include EC2 Attributes in Python Script-> Add Tag Specifications in Python Script-> Debug the Python Script Before Execution-> Access the EC2 Instance Launched via Python Script-> Update the Python Script to Add 20GB EBS Volume-> Run Python Script to Confirm EBS Volume-> Update Python Script to Include UserData-> Update Python Script to Include Apache Package-> Run the Revised Python Script and Validate-> Access the Apache ServerSection 20: CI/CD Automation with Jenkins and Python-> Project Overview-> Set Up a GitHub Repository for Your Project-> Write the Source Code in Python and Push to GitHub Repository-> Provision a Jenkins Server Instance in AWS-> Connect to the Jenkins Server and Install Java-> Install the Jenkins Package on the Server-> Set Up Jenkins Configuration-> Install Necessary Plugins on the Jenkins Server-> Add GitHub Credentials to the Jenkins Server-> First Stage of the Pipeline: Checkout the Project-> Build the Job-> Add a Stage for Installing Python Dependencies-> Add a Stage to Execute the Python Script-> Setting Up a User Account in AWS with IAM-> Create Access Keys for Jenkins Credentials-> Set Up Access Keys in Jenkins Pipeline-> Export AWS Credentials in Jenkins Pipeline-> Build the Job and Verify EC2 Instance Creation in AWS-> Access the Web Server Using URLSection 21: Integrate GitHub Webhooks With Jenkins-> Setup GitHub Webhooks in Jenkins-> GitHub hook trigger for GITScm polling-> Add Jenkins Webhook to GitHub Repository-> Test the Webhook by Editing the Python ScriptSection 22: Develop Games in Python with PyCharm and ChatGPT Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 An overview of Python Lecture 3 About Shell Scripting Lecture 4 Python vs. Shell Scripting Lecture 5 When to Use Python vs. Shell Scripting Section 2: How to Begin Practicing Python Coding Lecture 6 Begin Python Coding Practice Lecture 7 Visual Studio Code - Python Coding Practice Lecture 8 PyCharm - IDEs Lecture 9 Codespaces - Online Coding Platform Section 3: Python Data Types Lecture 10 About Data Types in Python Lecture 11 Lab - String Data Type Lecture 12 Lab - Integer Data Type Lecture 13 Lab - Float Data Type Lecture 14 Lab - len(), Length of a string Lecture 15 Lab - String upper(), lower() Lecture 16 Lab - String replace() Lecture 17 Lab - String split() Lecture 18 Lab - Print specific object in split() Lecture 19 About List in Python Lecture 20 Lab - List Data Type Lecture 21 Lab - Add and Modify in a List Data Type (Mutable) Lecture 22 About Tuples in Python Lecture 23 Lab - Tuples in Python Lecture 24 About Sets in Python Lecture 25 Lab - Sets in Python Lecture 26 Dictionary in Python Lecture 27 Lab - Dictionary in Python Lecture 28 Use Cases in DevOps Lecture 29 Boolean Data Types Lecture 30 Lab - Boolean in Python Section 4: Regular Expression (regex) in Python Lecture 31 Overview of Regular Expressions in Python Lecture 32 Lab - Using re.match() to Match Patterns at the Start of a String Lecture 33 Lab - Using re.search() to Find Matches Anywhere in a String Lecture 34 Lab - Using re.findall() to Search for All Matches in a String Lecture 35 Regex Use Cases from a DevOps Perspective Section 5: Mastering Keywords in Python Lecture 36 Overview of Keywords in Python Lecture 37 Common Python keywords Lecture 38 Mastering Control Flow Keywords - if, else, for, and break Lecture 39 Lab: Mastering Control Flow Keywords - continue, def, return, class, import etc. Section 6: Working with Variables in Python Lecture 40 Overview of Variables with Example Lecture 41 Lab: Working with Float Variables in Python Lecture 42 Lab: Defining Lists as Variables in Python Lecture 43 Lab: Working with Dictionary Variables in Python Lecture 44 Python Variables: Local vs Global Scope Lecture 45 Lab: Working with Local Variables in Python Lecture 46 Lab: Working with Global Variables in Python Section 7: Return Statement in Python Lecture 47 Return Statement: An Overview with Syntax Lecture 48 Lab: Creating Functions That Return Values Lecture 49 Lab: Functions That Return Multiple Values Lecture 50 Lab: Function for Identifying Even and Odd Values Section 8: Python Functions: Definition and Usage Lecture 51 Introduction to Functions in Python Lecture 52 Advantages of functions in Python Lecture 53 Lab: Functions with Parameters Lecture 54 Lab: Functions with Return Value Lecture 55 Lab: Designing Functions for Basic Arithmetic Operations Lecture 56 Comparing Scripts: Using Functions vs. Not Using Functions Section 9: Utilizing Modules in Function Design Lecture 57 Introduction to Python Modules Lecture 58 An Overview of Built-in Modules Lecture 59 An Overview of User-defined Modules Lecture 60 Lab: Essential Built-in Modules in Python Lecture 61 Lab: OS and Math Modules Lecture 62 Lab: Building Your Own Modules Section 10: Python Packages: Organizing Your Code Lecture 63 Introduction to Python Packages Lecture 64 Key Concepts of Packages Lecture 65 Advantages of Using Packages Lecture 66 Lab: Creating Package Structures and Modules Lecture 67 Importing Modules for Easier Access using __init__.py Lecture 68 Creating a Main Python File to Utilize Your Package Lecture 69 Importing Functions from a Package Section 11: Command Line Arguments in Python Lecture 70 Command Line Arguments with Practical Examples Lecture 71 Lab: Script to Add Two Numbers (No Command Line Arguments) Lecture 72 Lab: Working with sys.argv for Command Line Arguments Lecture 73 Lab: Passing Multiple Arguments to Python Scripts Lecture 74 Lab: Pass Arguments to Add Two Numbers Lecture 75 Lab: Conditional Arithmetic via Script Arguments Lecture 76 Lab: Conditional Arithmetic Using Script Arguments Section 12: Operators in Python: Concepts and Examples Lecture 77 The Basics of Arithmetic Operators in Python Lecture 78 Lab: Exploring Comparison (Relational) Operators Lecture 79 Lab: Comparison Operators (=, >, >=, ==) Lecture 80 Logical Operators: and, or, not Lecture 81 Lab: Using 'and' , 'or' for Logical Operations Lecture 82 Lab: Using 'not' for Logical Operations Lecture 83 Assignment Operators in Python Lecture 84 Lab: Understanding Different Assignment Operators Lecture 85 Membership Operators: 'in' and 'not in' Lecture 86 Lab: Using 'not in' Membership Operators Lecture 87 Operators in DevOps: Practical Use Cases Lecture 88 Use Cases for Operators in the DevOps Workflow Section 13: Conditional Statements in Python Lecture 89 Understanding 'if' statement in Python Lecture 90 Understanding 'else'..'elif' statement in Python Lecture 91 Lab: Implementing if..else Statements Lecture 92 Lab: DevOps Use Cases with if..else..elif Section 14: Understanding Loops in Python Lecture 93 For Loops in Python: Syntax and Usage Lecture 94 While Loops in Python: Syntax and Usage Lecture 95 Lab: Implementing For Loops Lecture 96 Lab: Printing Ranges and Strings with For Loops Lecture 97 Lab: Implementing Infinite While Loops Lecture 98 Lab: Exploring Break Statements in Python Section 15: Real-time Use Case: Lists and Exception Handling in Python Lecture 99 Introduction to the Real-Time Project Lecture 100 Lab: User Input for List Creation Lecture 101 Lab: Understanding split function text.split() Lecture 102 Lab: Identify modules and their functions Lecture 103 Lab: Utilize a for loop to list files Lecture 104 Exception Handling with Try Statement Lecture 105 Lab: Python Script for Handling Exceptions Using Try Statements Lecture 106 Lab: Handling Error - FileNotFoundError Lecture 107 Lab: Handling Known Error - PermissionError Section 16: Integrating Python with GitHub Lecture 108 Integrating Python with GitHub Through the GitHub API Lecture 109 Lab: Install PyGithub and Generate a GitHub Access Token Lecture 110 Lab: Retrieve User Login and Public Repos with Python Lecture 111 Lab: Retrieve GitHub Account Repository List Lecture 112 Lab: Create a New Repository with Python Section 17: Cloning a GitHub Repository with Python Lecture 113 Clone a Repository Using the Subprocess Module Lecture 114 Lab: Clone a Repository with the Subprocess Module Lecture 115 Lab: Using GitPython Library Lecture 116 Lab: Handle Git Errors with Exception Handling Section 18: Boto3 Python Module Lecture 117 Introduction to the Boto3 Python Module Lecture 118 Lab: Install Boto3 and Create an AWS User Account Lecture 119 Lab: Configure GitHub Access from Codespaces via AWS CLI Lecture 120 Lab: List All Buckets with Boto3-1 Lecture 121 Lab: List All Buckets with Boto3-2 Lecture 122 Lab: List All Buckets with Boto3-3 Lecture 123 Lab: Upload a File to a Bucket Using Boto3 Lecture 124 Lab: Download a File to a Bucket Using Boto3 Section 19: Launch EC2 Instance with Boto3 Python Module Lecture 125 Project Overview Lecture 126 Setting Up a User Account in AWS with IAM Lecture 127 Set Up AWS CLI in Codespaces Lecture 128 Begin Python Script: Import Boto3 Lecture 129 Include EC2 Attributes in Python Script Lecture 130 Add Tag Specifications in Python Script Lecture 131 Debug the Python Script Before Execution Lecture 132 Access the EC2 Instance Launched via Python Script Lecture 133 Update the Python Script to Add 20GB EBS Volume Lecture 134 Run Python Script to Confirm EBS Volume Lecture 135 Update Python Script to Include UserData Lecture 136 Update Python Script to Include Apache Package Lecture 137 Run the Revised Python Script and Validate Lecture 138 Access the Apache Server Section 20: CI/CD Automation with Jenkins and Python Lecture 139 Project Overview Lecture 140 Set Up a GitHub Repository for Your Project Lecture 141 Write the Source Code in Python and Push to GitHub Repository Lecture 142 Provision a Jenkins Server Instance in AWS Lecture 143 Connect to the Jenkins Server and Install Java Lecture 144 Install the Jenkins Package on the Server Lecture 145 Set Up Jenkins Configuration Lecture 146 Install Necessary Plugins on the Jenkins Server Lecture 147 Add GitHub Credentials to the Jenkins Server Lecture 148 First Stage of the Pipeline: Checkout the Project Lecture 149 Build the Job Lecture 150 Add a Stage for Installing Python Dependencies Lecture 151 Add a Stage to Execute the Python Script Lecture 152 Setting Up a User Account in AWS with IAM Lecture 153 Create Access Keys for Jenkins Credentials Lecture 154 Set Up Access Keys in Jenkins Pipeline Lecture 155 Export AWS Credentials in Jenkins Pipeline Lecture 156 Build the Job and Verify EC2 Instance Creation in AWS Lecture 157 Access the Web Server Using URL Section 21: Integrate GitHub Webhooks with Jenkins Lecture 158 Setup GitHub Webhooks in Jenkins Lecture 159 GitHub hook trigger for GITScm polling Lecture 160 Add Jenkins Webhook to GitHub Repository Lecture 161 Test the Webhook by Editing the Python Script Lecture 162 Last Lecture Individuals with little or no prior programming experience who want to learn Python from scratch.,DevOps Professionals: Anyone interested in automation, cloud computing, and using Python for DevOps practices.,Students and Professionals: Anyone seeking to enhance their resume or career prospects by adding Python programming to their skill set.,Overall, this course is suitable for anyone eager to learn Python and apply it in real-world scenarios. 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Free Download Meta Advertising for Real Estate & Copywriting with ChatGPT Last updated 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 13.35 GB | Duration: 14h 21m Master Meta Ads Copywriting and Meta Ads for Real Estate. Use ChatGPT, Meta AI Targeting and Meta AI Smart Functions. What you'll learn Master Meta Ads copywriting techniques that convert prospects into customers. Navigate the latest Meta Ads platform updates, including Meta AI and iOS 14.5+ changes, with ease. Harness the power of Real Estate Meta Advertising to generate high-quality leads. Explore the synergy between SEO and persuasive copywriting for maximum online visibility. Utilize ChatGPT effectively for innovative Meta Advertising and social media planning. Craft compelling ad copies with proven templates for Facebook and Instagram Ads success. Understand the psychology behind effective online persuasion and customer engagement. 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Overview Section 1: Meta Lead Generation Ads for Real Estate (Lead Forms) Lecture 1 Testimonial from RE/MAX Alpha (Prague) Lecture 2 Please, Read & Download the Complete Curriculum Lecture 3 Resources for You & Udemy Student's Experience & Facebook Group Lecture 4 Facebook Lead Generation Ads - Explanations Lecture 5 Lead Generation Ads 1 - Setup Lead Generation Objective for Instant Forms Lecture 6 Lead Generation Ads 2 - Targeting & Creating Custom + Lookalike Audiences Lecture 7 Lead Generation Ads 3 - Creating the Ad and Lead Form and Variantions Lecture 8 Audiences - In-Depth Explanations Lecture 9 More About Targeting Lecture 10 Campaign Budget Optimisation - Advantage Campaign Budget+ Lecture 11 More In-Depth Explanations of Meta Advantage Campaign Budget+ Lecture 12 Creating more Ad Sets to Use the Power of Advantage Campaign Budget Lecture 13 Leads Center - How to Efficiently Organize, Download & Work with Leads Lecture 14 How to Evaluate, Optimise & Refresh Lead Generation Campaigns Section 2: Meta Ads Formats, Modern Ads Formats, Reels, Meta Advertising Explanations Lecture 15 Meta Ads Formats Guide Lecture 16 Meta Ads Modern Formats - Reels Lecture 17 How Ads appear Across Meta Technologies Lecture 18 Campaign Buying Types Section 3: Facebook Ads & Instagram Ads Copywriting, Using ChatGPT & Gemini AI Lecture 19 Introduction into Facebook Ads & Instagram Ads Copywriting Lecture 20 Copywriting for Social Media Lecture 21 Essentials for Facebook Ads Advertising Lecture 22 Sample Post for Facebook Lecture 23 Meta Ads Copywriting - Quiz Introduction Lecture 24 Write your Own Content - Assignment Introduction Lecture 25 Using ChatGPT & Gemini for Social Media Marketing - Animated Video Explainer Lecture 26 Using ChatGPT for Facebook Marketing & Meta Advertising Lecture 27 Using ChatGPT for Instagram Marketing & Meta Advertising Lecture 28 Complete Introduction into ChatGPT & Gemini + 90 Reels Creation Lecture 29 How to Get 10x More Ideas for Facebook Post in One Minute with ChatGPT Lecture 30 How to Get Even 3x More Ideas for Facebook Post in One Minute with Gemini AI Lecture 31 How to Create Fantastic Carousel Content for Facebook & Instagram in Few Minutes Section 4: Broad Targeting Explanations, Special Ad Category & Meta AI Targeting Advantage+ Lecture 32 Get Ready to Become Super MASTER of Facebook Ads Lecture 33 Broad Targeting Explanations Lecture 34 Meta AI Targeting - The Most Powerful Targeting - Advantage+ Audiences Lecture 35 Broad Targeting & Special Ad Category 1 - Real Estate Lecture 36 Broad Targeting & Special Ad Category 2 - Real Estate Section 5: Meta Traffic Ads Lecture 37 Create with me your Facebook Traffic Ads (Introduction) Lecture 38 Create with me your Facebook Traffic Ads - Screen Recording - Complete Guide Lecture 39 Meta Traffic Ads - Quiz Introduction Lecture 40 Meta Advantage+ Creative Lecture 41 Dynamic Experience Lecture 42 Automated Rules Lecture 43 Using A/B Testing Section 6: Meta Ads Objectives & The Power of Engagement Lecture 44 Meta Ads Objectives - Introduction Lecture 45 MASTER Facebook Ads Objectives to Profit More from all of your Campaigns Lecture 46 Please, Study the Objectives from Media Buying Guide Lecture 47 Meta Ads Objectives - Quiz Introduction Lecture 48 The Power of Engagement Lecture 49 The Power of Engagement - Screen Recording Section 7: Meta for Business (Business Manager, Business Suite, Facebook Ads Library) Lecture 50 Meta Business Suite Lecture 51 Meta Business Manager - Introduction Lecture 52 Meta Business Suite & Meta Business Manager - How to Navigate Easily Lecture 53 Meta Business Manager Lecture 54 Introduction into Facebook Ads Library Lecture 55 Facebook Ads Library Section 8: Meta Pixel & Conversion API + Pixel Events & Custom Conversions Lecture 56 Benefit from Correct Facebook Pixel Set Up - Introduction Lecture 57 The Most Pleasant Way to Active Full Conversion API Server-Server on WordPress Lecture 58 Meta Events - Testing Lecture 59 Advanced Settings & Event Tool for Google Chrome Lecture 60 Meta Events Lecture 61 SDK & Off-line Conversions Explanations Section 9: Meta Conversion Ads for Lead Generation, Brand Lift, & Experiments Lecture 62 Facebook Conversion Ads - Explanations Lecture 63 Experiments & CBO Test & Brand Lift Lecture 64 Campaigns Budgets & Schedules Section 10: Reporting & Creative Hub & Insights Lecture 65 Cross Reporting & Reporting - Explanations Lecture 66 Automated Reporting, Sharing with Clients & Creative Reporting Lecture 67 Creative Hub & Insights Lecture 68 Optimisation for Ad Delivery Lecture 69 Advertisers Controls Section 11: Meta Ads Agency, Succesful Mindset, Careers & Freelancing Lecture 70 Make Your Life Better Lecture 71 Succesful Mindset 1 - Power of Active Approach Lecture 72 Succesful Mindset 2 - Power of "How Can I Manage This?" Lecture 73 Succesful Mindset 3 - Power of Dilligence + Step by Step Action Lecture 74 Profit from Running your own Facebook Ads Agency Lecture 75 How to Setup Accounts with your Clients Lecture 76 Careers and Freelancing - Your first Digital Marketing Job Lecture 77 Maximise your Media Career Lecture 78 Cutting through as a Copywriter Lecture 79 Secure your first SEO Job Lecture 80 Finding Work as a Facebook Ads Consultant Lecture 81 Landing your first Instagram Ads Client Lecture 82 Stand out on Freelance and Job Search Sites Lecture 83 Polish up your Resume and LinkedIn Profile Lecture 84 Thanks for Watching Section 12: Summary, Negotiating Higher Salary, LinkedIn Profile, & Congratulations Lecture 85 Summary - Facebook Marketing & Facebook Ads Lecture 86 Best Strategies for Negotiating Higher Salary with ChatGPT Lecture 87 Writing Personal Inspiring Story with ChatGPT Lecture 88 Optimizing Personal Inspiring Story for LinkedIn with ChatGPT Writing Coach Lecture 89 Rewriting Experience Section on LinkedIn into Fascinating Story Lecture 90 Rewriting & Recreating all LinkedIn Profile as a Complete Story Lecture 91 Congratulations This course is meticulously designed for a diverse range of individuals who are keen to master the art and science of Facebook Ads, particularly in the Real Estate sector. If you fall into any of the following categories, this course is tailor-made for you:,Facebook Ads Consultants: If you're already navigating the waters of Facebook advertising but want to specialize in the Real Estate niche, this course will give you the tools, strategies, and confidence to elevate your consultancy to new heights.,Real Estate Brokers: Are you a Real Estate broker looking to exponentially increase your property sales and client engagement? This course will teach you how to leverage Facebook Ads to reach your target audience effectively and convert leads into sales.,Aspiring Facebook Ads Consultants: If you're new to the world of Facebook Ads but are considering it as a career path, this course will provide you with a solid foundation and specialized knowledge in Real Estate advertising, setting you apart from generalists in the field.,Digital Marketers: If you're a digital marketer looking to expand your skill set to include specialized Facebook Ads strategies for Real Estate, this course will equip you with the knowledge and tools you need.,Small Business Owners in Real Estate: If you own a small Real Estate business and want to take charge of your own advertising, this course will guide you through creating effective campaigns that yield high ROI.,Career Changers: Are you considering a career change and are intrigued by the opportunities in digital marketing and Real Estate? This course will give you a comprehensive understanding and practical skills to make a smooth transition.,Freelancers: If you're a freelancer looking to add another feather to your cap, the specialized knowledge this course offers in Real Estate Facebook Ads can make you a more attractive hire for agencies or businesses in the Real Estate sector.,By enrolling in this course, you're not just learning; you're making a strategic career move. Whether you're a seasoned professional or a beginner, this course will equip you with the skills to become a leader in Facebook Ads for Real Estate. 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