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51.12 MB | 00:05:52 | mp4 | 1920X1080 | 16:9 Genre:eLearning |Language:English Files Included : yxusj.1 -Generating and Interpreting Multimodal Content.mp4 (18.4 MB) yxusj.2 -Setting up the Claude API in Python.mp4 (14.26 MB) yxusj.3 -Handling Faults when Using Claude.mp4 (13.59 MB)] Screenshot https://ddownload.com/9rahph0t7hgz https://ausfile.com/vamusdefnzq2 https://rapidgator.net/file/f814d60f89807bd05ca998393245c71e/

3.73 GB | 01:34:25 | mkv | 1920X1080 | 16:9 | 5526 Kbps ,Channels :2 Language:English Genres:: Documentary,Comedy iMDB info Ontario is the only province in Canada without a ban on cat declawing. Amy Hoggart, the hilarious correspondent from Full Frontal with Samantha Bee, cracks jokes, cuddles kittens and attacks this controversial practice using satire to expose a heart-wrenching catspiracy. ScreenShot Download link : RapidGator https://rapidgator.net/file/961b0487b47a9562582afb2a3292a473/American.Cats.The.Good.the.Bad.and.the.Cuddly.2024.1080p.WEBRip.x264BAE.part1.rar https://rapidgator.net/file/1a119597cc3ff02377b8d55a1b26508b/American.Cats.The.Good.the.Bad.and.the.Cuddly.2024.1080p.WEBRip.x264BAE.part2.rar https://rapidgator.net/file/73a7baf265fc4971bcca50673f8d96f2/American.Cats.The.Good.the.Bad.and.the.Cuddly.2024.1080p.WEBRip.x264BAE.part3.rar https://rapidgator.net/file/ab44348a7c95c8a46549af600c43ed93/American.Cats.The.Good.the.Bad.and.the.Cuddly.2024.1080p.WEBRip.x264BAE.part4.rar

4.06 GB | 01:42:57 | mkv | 1920X1080 | 16:9 | 5000 Kbps ,Channels :6 Language:English Genres:: Documentary,Crime iMDB info Murder or self-defense? Told from both sides, this documentary explores the killing of Jason Corbett during a dispute with his wife and her father. ScreenShot Download link : RapidGator https://rapidgator.net/file/533dcf477c5fdcdbc605fead2b6b9484/A.Deadly.American.Marriage.2025.1080p.WEB.H264PeculiarLavenderMuskratOfPiety.part1.rar https://rapidgator.net/file/e1378613cb72689d1926f9710f586669/A.Deadly.American.Marriage.2025.1080p.WEB.H264PeculiarLavenderMuskratOfPiety.part2.rar https://rapidgator.net/file/bce8fade43c358c731e3840f82ad84ed/A.Deadly.American.Marriage.2025.1080p.WEB.H264PeculiarLavenderMuskratOfPiety.part3.rar https://rapidgator.net/file/eb9819cddf1c4b59d09b14d3b5561cc3/A.Deadly.American.Marriage.2025.1080p.WEB.H264PeculiarLavenderMuskratOfPiety.part4.rar https://rapidgator.net/file/f285ccae8f9433853d03a45fb9c7a0ec/A.Deadly.American.Marriage.2025.1080p.WEB.H264PeculiarLavenderMuskratOfPiety.part5.rar

Reigniting Engagement and Purpose in Your Leadership .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 42m | 235 MB Instructor: Alice Meredith Lost your spark? Learn how to recognize the signs of disengagement, uncover what's holding you back, and reignite your leadership energy with intentional, purpose-driven action. What you'll learn Many leaders reach a point where energy fades, purpose feels distant, and leadership starts to feel more like a routine than a meaningful pursuit. In this course, Reigniting Engagement and Purpose in Your Leadership, you'll learn how to break free from the plateau of disengagement and reconnect with what drives you. First, you'll discover how to assess your leadership behaviors and mindset to recognize signs that you may be operating on autopilot. Then, you'll explore possible experiences that contributed to your current plateau, along with internal barriers that may be holding you back. Next, you'll see how to remix and reframe proven engagement questions to reignite your sense of purpose. Finally, you'll learn practical, actionable strategies to rebuild momentum, drive personal growth, and positively influence engagement within your organization. When you're finished with this course, you'll have the tools and confidence needed to lead with intention, model purposeful engagement, and support others through their own leadership plateaus. Homepage DDownload https://ddownload.com/3urqhnn28t6b/yxusj.Reigniting.Engagement.and.Purpose.in.Your.Leadership.By.Alice.Meredith.rar AusFile https://ausfile.com/8dj182eq6lpq/yxusj.Reigniting.Engagement.and.Purpose.in.Your.Leadership.By.Alice.Meredith.rar RapidGator https://rapidgator.net/file/46bb526f6e915a611ab80a58eb6b0ef1/yxusj.Reigniting.Engagement.and.Purpose.in.Your.Leadership.By.Alice.Meredith.rar

Foundations of Computing: Computer Architecture Published 4/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 48 KHz Language: English | Size: 1.16 GB | Duration: 1h 30m 36s Understanding how computers process instructions and optimize performance can be challenging without a strong foundation in computer architecture. In this course, Foundations of Computing: Computer Architecture, you'll learn the key components of computer systems from the ground up. First, you'll explore the core components of computer architecture, including the CPU, memory, and storage. Next, you'll discover how instruction sets, pipelining, and caching impact performance. Finally, you'll learn how compilers translate high-level code into assembly and how optimization techniques improve execution speed. When you're finished with this course, you'll have the skills and knowledge of computer architecture needed to evaluate and enhance system performance. DDownload https://ddownload.com/4n3y1fe7hll1/yxusj.Foundations.of.Computing.Computer.part1.rar https://ddownload.com/cb1h58rlhght/yxusj.Foundations.of.Computing.Computer.part2.rar AusFile https://ausfile.com/lnyi42zwzyrp/yxusj.Foundations.of.Computing.Computer.part1.rar https://ausfile.com/6bqxx4c052jn/yxusj.Foundations.of.Computing.Computer.part2.rar RapidGator https://rapidgator.net/file/11c35e12c2d3aa3630c5ef3e46d19101/yxusj.Foundations.of.Computing.Computer.part1.rar https://rapidgator.net/file/6981ae79a85a4576a9a3cd7eaeafbcf4/yxusj.Foundations.of.Computing.Computer.part2.rar

Getting Started with Artificial Intelligence for Business .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 50m | 142 MB Instructor: Pratheerth Padman Discover how generative AI can streamline your daily business tasks. This course will teach you to create polished communications, automate repetitive workflows, and extract actionable insights from your data using no-code AI tools. What you'll learn Too much of your workday is swallowed by routine writing, manual reporting, and data wrangling - slowing down your team's impact. In this course, Getting Started with Artificial Intelligence for Business, you'll learn to harness generative AI to produce professional-quality deliverables faster than ever. First, you'll explore how to generate polished emails, reports, presentations, marketing copy, and social posts with AI. Next, you'll discover how to automate repetitive tasks like meeting summaries, and customer responses. Finally, you'll learn how to summarize and visualize data, extract actionable insights, and apply responsible AI best practices. When you're finished with this course, you'll have the skills and knowledge of generative AI for business needed to streamline workflows, elevate communication, and drive smarter, data-driven decisions. Homepage DDownload https://ddownload.com/9tatk1tuerwb/yxusj.Getting.Started.with.Artificial.Intelligence.for.Business.By.Pratheerth.Padman.rar AusFile https://ausfile.com/id9198ktfqz5/yxusj.Getting.Started.with.Artificial.Intelligence.for.Business.By.Pratheerth.Padman.rar RapidGator https://rapidgator.net/file/31abd888d918b4fa5d4a5bb0b84e0fa3/yxusj.Getting.Started.with.Artificial.Intelligence.for.Business.By.Pratheerth.Padman.rar

Cloud Environment Pen Testing .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 38m | 121 MB Instructor: Chris Jackson Cloud Security includes Penetration Testing for cloud deployments in a specific way. This course will teach you how to approach these cloud services and deployments from an offensive perspective. What you'll learn Effective Cloud Penetration Testing requires looking into the most common cloud misconfigurations. In this course, Cloud Environment Pen Testing, you'll learn to identify these misconfigurations. First, you'll explore Container and Kubernetes pen testing. Next, you'll discover Serverless functions permission misconfigurations. Finally, you'll learn how misconfigured access to in-memory stores can be exploited. When you're finished with this course, you'll have the skills and knowledge needed for pen testing in a cloud environment. Homepage DDownload https://ddownload.com/g4sdk83gk28t/yxusj.Cloud.Environment.Pen.Testing.By.Chris.Jackson.rar AusFile https://ausfile.com/u0pj1wn6kkkj/yxusj.Cloud.Environment.Pen.Testing.By.Chris.Jackson.rar RapidGator https://rapidgator.net/file/5344a62f8a72e81ffb79c7fa39955735/yxusj.Cloud.Environment.Pen.Testing.By.Chris.Jackson.rar

RHEL 9 System Hardening and Security Released/Updated: Apr 25, 2025 Duration: 1h 11m 42s | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 134 MB Genre: eLearning | Language: English Tired of security breaches and inefficient systems? Get RHEL 9 administration right by learning SELinux management, task automation, storage optimization, and system hardening to build robust, secure enterprise environments. What you'll learn IT environments today demand secure, efficient, and resilient system management. In this course, RHEL 9 System Hardening and Security, you'll gain the ability to effectively secure, optimize, and manage Red Hat Enterprise Linux environments. First, you'll explore security management and system hardening techniques using SELinux. Next, you'll discover how to optimize storage with Logical Volume Management (LVM) and streamline operations with task automation tools like cron and systemd. Finally, you'll learn how to troubleshoot and maintain robust SELinux configurations, implement automated maintenance schedules, and apply industry-aligned system hardening strategies. When you're finished with this course, you'll have the skills and knowledge needed to confidently administer RHEL 9 environments for enterprise-grade security and performance. More Info Please check out others courses in your favourite language and bookmark them - - - - DDownload https://ddownload.com/vda0g2p4f3rg/yxusj.RHEL.9.System.Hardening.and.Security.By.David.Clinton.rar AusFile https://ausfile.com/ovumn6hziplj/yxusj.RHEL.9.System.Hardening.and.Security.By.David.Clinton.rar RapidGator https://rapidgator.net/file/ea0d1107a8efe83a1a586a05d4c6cc5d/yxusj.RHEL.9.System.Hardening.and.Security.By.David.Clinton.rar

Building AI Applications with Semantic Kernel and C# .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 3h 19m | 604 MB Instructor: Gill Cleeren Semantic Kernel is a powerful AI library for .NET development. This course will teach you how to build AI-enabled apps based on the library. What you'll learn Using AI services in .NET applications is becoming more and more popular but with all the different services out there, this task isn't always easy. In this course, Building AI Applications with Semantic Kernel and C#, you'll learn how to benefit from the Semantic Kernel library in your .NET apps. First, you'll explore the concepts and building blocks of Semantic Kernel. Next, you'll discover how to create plugins to extend the capabilities of the underlying model easily. Finally, you'll learn how to use Semantic Kernel in a practical way inside your apps. When you're finished with this course, you'll have the skills and knowledge of the Semantic Kernel library needed to build powerful AI apps using .NET. Homepage DDownload https://ddownload.com/6spo9f01pped/yxusj.Building.AI.Applications.with.Semantic.Kernel.and.C%23.By.Gill.Cleeren.rar AusFile https://ausfile.com/vownef0w45on/yxusj.Building.AI.Applications.with.Semantic.Kernel.and.C%23.By.Gill.Cleeren.rar RapidGator https://rapidgator.net/file/b3ec4d5691b4453f4dc73b181ba103b0/yxusj.Building.AI.Applications.with.Semantic.Kernel.and.C#.By.Gill.Cleeren.rar

Getting Started on Prompt Engineering with Generative AI Duration: 48m 37s | .MP4 1920x1080, 30 fps(r) | AAC, 48000 Hz, 2ch | 163 MB Genre: eLearning | Language: English Get better results from AI. This course will teach you how to craft, evaluate, and refine prompts to get high-quality and relevant responses-boosting productivity, creativity, and problem-solving across industries. What you'll learn AI responses can be hit or miss. Sometimes they're helpful, sometimes vague, and sometimes completely off. The key to getting better results is writing better prompts. In this course, Getting Started on Prompt Engineering with Generative AI, you'll learn to craft clear, structured prompts that guide AI to give you high-quality, relevant responses. First, you'll explore how AI processes language and why prompts matter. Next, you'll discover how to structure and refine prompts for different tasks, using techniques like few-shot and chain-of-thought prompting. Finally, you'll learn how to evaluate AI responses for accuracy, coherence, and bias, and how to tweak prompts to improve them. When you're finished with this course, you'll have the skills and knowledge of prompt engineering needed to use AI effectively for content creation, automation, problem-solving, and more. More Info Please check out others courses in your favourite language and bookmark them - - - - DDownload https://ddownload.com/hmpdvwwlxlbs/yxusj.Getting.Started.on.Prompt.rar AusFile https://ausfile.com/aup5a70ujxc5/yxusj.Getting.Started.on.Prompt.rar RapidGator https://rapidgator.net/file/c5f4366e3b86e2fa599d7ad9afc50497/yxusj.Getting.Started.on.Prompt.rar

SRE: Concepts and Principles .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 58m | 307 MB Instructor: Elton Stoneman SRE is how Google runs production systems, promoting high availability with high velocity and removing operational toil. It achieves the same goals as DevOps without the culture shift, so it's a better option for many digital transformations. What you'll learn Site Reliability Engineering is a set of principles and practices that supports software delivery - keeping production systems stable and still delivering new features at speed. In this course, SRE: Concepts and Principles, you'll get a fast introduction to SRE through practical demonstrations of the way SRE works and the tools that support it. First, you'll learn the differences between SRE and DevOps, and traditional operations. Next, you'll discover how engineering practices help to reduce toil and provide more time to focus on high value tasks. Finally, you'll see how SRE approaches monitoring and alerting. When you've finished with the course, you'll be able to evaluate SRE and see if it's a good fit for your organization. Homepage DDownload https://ddownload.com/9ud2qujkgigc/yxusj.SRE.-.Concepts.and.Principles.By.Elton.Stoneman.rar AusFile https://ausfile.com/i44u22znhrw0/yxusj.SRE.-.Concepts.and.Principles.By.Elton.Stoneman.rar RapidGator https://rapidgator.net/file/31c6cd0ab4388fa62612ea5a4add03fd/yxusj.SRE.-.Concepts.and.Principles.By.Elton.Stoneman.rar

Introduction to Adversarial AI .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 30m | 123 MB Instructor: Goran Trajkovski Discover how adversarial attacks can compromise even the most sophisticated AI systems. This course will teach you how to identify, understand, and simulate key attack vectors that threaten machine learning models in production environments. What you'll learn Machine learning models are increasingly being deployed in critical applications, yet they remain vulnerable to subtle manipulations that can cause dramatic failures. In this course, Introduction to Adversarial AI, you'll learn to identify and understand the primary ways adversaries can attack modern AI systems. First, you'll explore the fundamental concepts behind adversarial examples, including perturbations, evasion attacks, and poisoning techniques. Next, you'll discover how to use industry-standard tools like CleverHans and ART to simulate real attacks on neural networks. Finally, you'll learn how black-box models can be reverse-engineered through model extraction techniques. When you're finished with this course, you'll have the skills and knowledge of adversarial AI needed to better understand the security vulnerabilities in your machine learning systems and take the first steps toward protecting them. Homepage DDownload https://ddownload.com/hivdotn11wzx/yxusj.Introduction.to.Adversarial.AI.By.Goran.Trajkovski.rar AusFile https://ausfile.com/90if50cvwboh/yxusj.Introduction.to.Adversarial.AI.By.Goran.Trajkovski.rar RapidGator https://rapidgator.net/file/b646a08423e85214851eb7f8f0ea96c4/yxusj.Introduction.to.Adversarial.AI.By.Goran.Trajkovski.rar

C Foundations: File I/O and Error Handling Released 4/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 54m | Size: 218 MB This course will teach you how to handle file processing in C, including reading and writing files, handling file-related problems, and how you can use the standard C file functions. Working with files is essential for many C applications, but mishandling file I/O can lead to crashes, data loss, or hard-to-trace bugs. In this course, C Foundations: File I/O and Error Handling, you'll learn to use and manage files in C. First, you'll explore how to open and read files. Next, you'll discover how to read data back from files and the various file modes C supports. Finally, you'll learn how to handle file issues, such as the file not existing, the path being invalid or a file being corrupted. When you're finished with this course, you'll have the skills and knowledge of C file handling needed to work with and manage files in C. DDownload https://ddownload.com/bnxcmk22mn6m/yxusj.C.Foundations.-.File.IO.and.Error.Handling.By.Mike.McQuillan.rar AusFile https://ausfile.com/qskksfjfuqvc/yxusj.C.Foundations.-.File.IO.and.Error.Handling.By.Mike.McQuillan.rar RapidGator https://rapidgator.net/file/2249bdd10287b2bbf933843823675608/yxusj.C.Foundations.-.File.IO.and.Error.Handling.By.Mike.McQuillan.rar

Developing Task-specific Agents with CrewAI .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 26m | 107 MB Instructor: Jon Friskics This course will teach you how to create AI agents that collaborate on tasks using the open source CrewAI library. What you'll learn In this course, Developing Task-specific Agents with CrewAI, you'll learn to create AI agents that collaborate on tasks using the open source CrewAI library. First, you'll explore how to create an agent focused on a single task. Next, you'll discover how multiple agents can work together. Finally, you'll learn how to focus the actions agents take by assigning them a role. When you're finished with this course, you'll have the skills and knowledge of coordinating AI agents with CrewAI needed to perform a variety of multi-agent tasks. Homepage DDownload https://ddownload.com/lbgplt77j0eb/yxusj.Developing.Task-specific.Agents.with.CrewAI.By.Jon.Friskics.rar AusFile https://ausfile.com/rt69o87ymkl0/yxusj.Developing.Task-specific.Agents.with.CrewAI.By.Jon.Friskics.rar RapidGator https://rapidgator.net/file/c3ff951853eae239eb14d443a93edaf5/yxusj.Developing.Task-specific.Agents.with.CrewAI.By.Jon.Friskics.rar

Building a Culture of Learning for Skills Development .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 33m | 207 MB Instructor: Lars Klint Build a thriving learning environment within your organization. This course will teach you strategies for continuous skills development, leadership engagement, and fostering a cloud-first mindset to drive successful cloud transformations. What you'll learn Organizations often struggle with inadequate skill development and a lack of a continuous learning culture, which can hinder successful cloud transformation efforts. In this course, Building a Culture of Learning for Skills Development, you'll learn to create and sustain a culture that fosters continuous learning and skill advancement to support cloud initiatives. First, you'll explore strategies for developing a continuous learning culture and achieving a critical mass of cloud skills within your organization. Next, you'll discover how to measure and drive skill development effectively to ensure successful cloud transformation. Finally, you'll learn how to encourage certification and foster a cloud-first mindset among leaders and teams through leadership modeling and engagement. When you're finished with this course, you'll have the skills and knowledge of building a culture of learning for skills development needed to drive and sustain successful cloud transformations in your organization. Homepage DDownload https://ddownload.com/pmiv3t9205ei/yxusj.Building.a.Culture.of.Learning.for.Skills.Development.By.Lars.Klint.rar AusFile https://ausfile.com/j6dulf22q0zw/yxusj.Building.a.Culture.of.Learning.for.Skills.Development.By.Lars.Klint.rar RapidGator https://rapidgator.net/file/fd4207b0377f26332cf571aa3c09fa65/yxusj.Building.a.Culture.of.Learning.for.Skills.Development.By.Lars.Klint.rar

Build Recommendation Systems with PySpark .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 49m | 161 MB Instructor: Bismark Adomako Learn to build scalable recommendation systems with PySpark. This course will teach you to predict user purchases using collaborative filtering, content-based methods, and real-time streaming, helping you deliver personalized shopping experiences. What you'll learn Online retailers and e-commerce platforms rely on recommendation systems to enhance customer experiences and drive sales. In this course, Build Recommendation Systems with PySpark, you'll gain the ability to build scalable, data-driven recommendation models to predict user purchases. First, you'll explore the fundamentals of recommendation systems, including collaborative filtering and content-based methods. Next, you'll discover how to train and optimize recommendation models using PySpark MLlib, tuning hyperparameters and handling real-world challenges like cold starts. Finally, you'll learn how to deploy recommendation models in batch mode and real-time streaming using Spark Structured Streaming and Kafka. When you're finished with this course, you'll have the skills and knowledge of recommendation systems with PySpark needed to deliver personalized shopping experiences at scale. Homepage DDownload https://ddownload.com/bw53xdwpapif/yxusj.Build.Recommendation.Systems.with.PySpark.By.Bismark.Adomako.rar AusFile https://ausfile.com/fo9d5xr0guob/yxusj.Build.Recommendation.Systems.with.PySpark.By.Bismark.Adomako.rar RapidGator https://rapidgator.net/file/50f3290b12edc23909c74e3240bd594e/yxusj.Build.Recommendation.Systems.with.PySpark.By.Bismark.Adomako.rar

Managing Costs for Amazon Bedrock Released 4/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 33m | Size: 87 MB Effectively manage AI costs with Amazon Bedrock. This course will teach you how to analyze cost drivers, optimize workloads for cost-effectiveness, and implement strategies to reduce costs while maintaining high performance in AI operations. In today's technology landscape, AI is here to stay, and organizations that fail to embrace it risk losing competitiveness. Amazon Bedrock provides powerful tools to help achieve these goals. But the real challenge is riding the wave without breaking the budget along the way. In this course, Managing Costs for Amazon Bedrock, you'll learn how to identify cost components and optimize workloads by implementing cost effective strategies without sacrificing performance. First, you'll explore Amazon Bedrock's key cost drivers, breaking down how token-based charges, model invocations, and request frequency impact costs. Next, you'll discover how different workload configurations impact costs and identify key areas for optimization, such as data transfer, API calls, and AWS integrations. Finally, you'll learn how to implement cost-saving strategies, including prompt engineering, response caching, and efficient resource allocation. When you're finished with this course, you'll have the skills and knowledge to manage costs for Amazon Bedrock to ensure high-performance AI solutions while maintaining cost efficiency. DDownload https://ddownload.com/8ppmnq3wi5ch/yxusj.Managing.Costs.for.Amazon.Bedrock.By.Chris.Espinoza.rar AusFile https://ausfile.com/7at67ol5hb0l/yxusj.Managing.Costs.for.Amazon.Bedrock.By.Chris.Espinoza.rar RapidGator https://rapidgator.net/file/3d9f05cfe9a4b987aaa6b8ba161c0a23/yxusj.Managing.Costs.for.Amazon.Bedrock.By.Chris.Espinoza.rar

Astro Foundations .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 53m | 142 MB Instructor: Julian Mateu Astro is revolutionizing how we build content-focused websites. This course will teach you how to create blazing-fast, SEO-friendly sites that combine static generation with selective interactivity using Astro's innovative islands architecture. What you'll learn Modern websites need to balance performance, SEO, and interactivity, but traditional approaches often force tradeoffs. In this course, Astro Foundations, you'll learn to create high-performance websites that provide the perfect balance between static content and dynamic functionality. First, you'll explore Astro's core architecture and component model. Next, you'll discover how to leverage content collections and file-based routing to create maintainable, content-driven websites. Finally, you'll learn how to implement Astro's innovative islands architecture to selectively hydrate interactive components while maintaining optimal performance. When you're finished with this course, you'll have the skills and knowledge of Astro needed to build performant, SEO-friendly websites with rich interactivity exactly where it matters. Homepage DDownload https://ddownload.com/c41d84knuhzy/yxusj.Astro.Foundations.By.Julian.Mateu.rar AusFile https://ausfile.com/vo352e7o6k79/yxusj.Astro.Foundations.By.Julian.Mateu.rar RapidGator https://rapidgator.net/file/41fc77bc0c76f49a1b5062c0da31d512/yxusj.Astro.Foundations.By.Julian.Mateu.rar

Scalable Machine Learning with PySpark MLlib .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 9m | 260 MB Instructor: Warner Chaves In this course, you'll learn how to build scalable ML pipelines, perform large-scale feature engineering, and train models on massive datasets. What you'll learn PySpark MLlib powers distributed machine learning. In this course, Scalable Machine Learning with PySpark MLlib, you'll gain the ability to leverage Apache Spark's distributed computing framework for your machine learning workloads. First, you'll explore the fundamentals of Spark MLlib and the Spark ML Pipeline API, learning how it differs from single‐machine solutions. Next, you'll discover how to perform feature engineering and build classification/regression models that can handle big datasets efficiently. Finally, you'll learn how to tune hyperparameters and optimize performance so that your pipelines can run smoothly and quickly. When you're finished with this course, you'll have the skills and knowledge of PySpark MLlib needed to implement and scale out your own machine learning solutions on large datasets. Homepage DDownload https://ddownload.com/92y1nkf8qdhb/yxusj.Scalable.Machine.Learning.with.PySpark.MLlib.By.Warner.Chaves.rar AusFile https://ausfile.com/bj72zdauvlly/yxusj.Scalable.Machine.Learning.with.PySpark.MLlib.By.Warner.Chaves.rar RapidGator https://rapidgator.net/file/12ba406624502d1d5cef5c3f8d130285/yxusj.Scalable.Machine.Learning.with.PySpark.MLlib.By.Warner.Chaves.rar

Boosting Techniques .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 15m | 166 MB Instructor: Janani Ravi This course will teach you how to implement, optimize, and interpret boosting algorithms like XGBoost, LightGBM, and CatBoost to enhance predictive performance in real-world applications. What you'll learn Boosting techniques are powerful methods for improving machine learning model accuracy by combining weak learners into strong predictors. Building accurate machine learning models can be challenging when dealing with bias, variance, and feature interactions, making it essential to use advanced ensemble techniques for improved predictive performance. In this course, Boosting Techniques, you'll learn to implement, optimize, and interpret powerful boosting algorithms such as XGBoost, LightGBM, and CatBoost. First, you'll explore the fundamental concepts of ensemble learning, comparing boosting with other techniques like bagging and stacking. Next, you'll discover how to build and evaluate boosting models for classification and regression tasks, leveraging GPU acceleration and handling categorical data effectively. Finally, you'll learn how to fine-tune hyperparameters and use SHAP values to interpret model predictions and assess feature importance. When you're finished with this course, you'll have the skills and knowledge of boosting techniques needed to build high-performing models that enhance predictive accuracy and drive data-driven decision-making. Homepage DDownload https://ddownload.com/9jomarffa044/yxusj.Boosting.Techniques.By.Janani.Ravi.rar AusFile https://ausfile.com/mnqiu9m67idi/yxusj.Boosting.Techniques.By.Janani.Ravi.rar RapidGator https://rapidgator.net/file/2789b105a060f8b60211f66a03e0e1c0/yxusj.Boosting.Techniques.By.Janani.Ravi.rar

Android: Data Persistence .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 30m | 198 MB Instructor: Mike VanSickle Fast, secure, and reliable local storage technologies allow data to be stored on Android devices and help guarantee high performance levels. This course will teach you about the tools available to store and access information on Android devices. What you'll learn Cloud-based services are vital to modern mobile development, but they can be slow, and network issues can affect their reliability. Local storage solutions perfectly complement remote services by allowing fast, secure, and reliable data storage. In this course, Android: Data Persistence, you'll learn about the tools to work with data on the user's device. First, you'll explore how to use Room to efficiently interact with local SQL databases. Next, you'll discover the DataStore API and how to use it to store user preferences. Finally, you'll learn how to access local assets such as templates and media files to augment your app's capabilities. When you're finished with this course, you'll have the skills and knowledge of the Android persistence APIs needed to use local data in your projects effectively. Homepage DDownload https://ddownload.com/b245kps2dk2r/yxusj.Android.-.Data.Persistence.By.Mike.VanSickle.rar AusFile https://ausfile.com/20rikvy5o4ys/yxusj.Android.-.Data.Persistence.By.Mike.VanSickle.rar RapidGator https://rapidgator.net/file/e752178c6ae3902bc34bc2a23f2c43fe/yxusj.Android.-.Data.Persistence.By.Mike.VanSickle.rar

AI and Machine Learning in Cybersecurity .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 6m | 121 MB Instructor: Kevin Cardwell This course will teach you how the foundation of Artificial Intelligence is centered on machine learning, and once a model is built then it becomes a tool for you in cybersecurity. What you'll learn Explore this fascinating field and develop the skills to leverage AI in your cybersecurity challenges. In this course, AI and Machine Learning in Cybersecurity, you'll learn to use AI to leverage your cybersecurity skills. First, you'll explore machine learning and anomaly detection. Next, you'll discover AI cybersecurity strengths like ransomware, malware, and phishing. Finally, you'll learn how to leverage large language models for enhancing cybersecurity. When you're finished with this course, you'll have the skills and knowledge of AI cybersecurity needed to enhance your skills and abilities in cybersecurity. Homepage DDownload https://ddownload.com/rhj797xhnogv/yxusj.AI.and.Machine.Learning.in.Cybersecurity.By.Kevin.Cardwell.rar AusFile https://ausfile.com/vb3g3e716x1n/yxusj.AI.and.Machine.Learning.in.Cybersecurity.By.Kevin.Cardwell.rar RapidGator https://rapidgator.net/file/09624b682df674a35018b51480d01b2a/yxusj.AI.and.Machine.Learning.in.Cybersecurity.By.Kevin.Cardwell.rar

Scalability and Performance Optimization for ML .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 50m | 113 MB Instructor: Yasir Khan This course covers hyperparameter tuning, caching, load balancing, and leveraging pre-trained models to improve speed, reduce latency, and enhance scalability in production. What you'll learn Learn to optimize and scale ML models for efficiency and performance. In this course, Scalability and Performance Optimization for ML, you'll learn to enhance ML model efficiency for production environments. First, you'll explore hyperparameter tuning and model compression to optimize performance. Next, you'll discover scaling techniques, including caching and load balancing, to handle high-demand workloads. Finally, you'll learn how to leverage pre-trained models and improve training data for better accuracy. By the end of this course, you'll have the skills to scale ML models, reduce latency, and optimize resource utilization effectively. Homepage DDownload https://ddownload.com/m16jwtjsgxfx/yxusj.Scalability.and.Performance.Optimization.for.ML.By.Yasir.Khan.rar AusFile https://ausfile.com/zhwhnvkli3w7/yxusj.Scalability.and.Performance.Optimization.for.ML.By.Yasir.Khan.rar RapidGator https://rapidgator.net/file/0dfb697c42e41bfc616265be48875e54/yxusj.Scalability.and.Performance.Optimization.for.ML.By.Yasir.Khan.rar

Grafana Masterclass: Observability, Monitoring, Alerts Published 5/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 3.86 GB | Duration: 7h 13m Data Visualization, Querying, Alerting and Automation in Grafana for SREs, DevOps & Cloud Teams What you'll learn Grafana Basics & UI Navigation Connecting & Managing Data Sources Building Stunning Grafana Dashboards Query Building & Data Transformation Securing & Scaling Grafana Real-World Use Cases & Projects Requirements Basic Understanding of IT/Software Concepts Basic Linux/Command Line Knowledge Internet Connection & Browser Access Description "Master Grafana for Observability: Build Dashboards, Monitor Systems, and Automate Alerts Like a Pro!"Grafana is the go-to open-source platform for visualizing, monitoring, and analyzing metrics across diverse data sources. Whether you're an SRE, DevOps engineer, system administrator, or cloud architect, mastering Grafana can significantly boost your observability skills and streamline incident management.Why Take This Course?This is a "Learn by Example" course where I not only explain concepts but also demonstrate them with real-world scenarios. You'll see each concept in action and follow along by copying and pasting commands directly from my accompanying documentation to replicate the same results.By the end of this course, you'll not only understand the fundamentals of Grafana but also have a fully functional Grafana server in the cloud, equipped with SSL, a domain name, and multiple data sources configured-ready for advanced observability tasks.What You'll Learn:Installing Grafana using packages and setting up a secure server.Setting Up a Domain Name & SSL Certificate to secure your Grafana instance.Exploring Panel Types - Graphs, Stats, Gauges, Tables, Heatmaps, and Logs.Configuring Multiple Data Sources - MySQL, Zabbix, InfluxDB, Prometheus, and Loki.Setting Up Collection Agents - Telegraf, Promtail, Node Exporters, SNMP Agents, and more.Time Series vs. Non-Time Series Data - Learn key differences and best practices.Experimenting with Dashboards - Use community dashboards and create your own.Monitoring SNMP Devices - Using Telegraf Agents and InfluxDB Data Sources.Integrating Elasticsearch with Filebeat and Metricbeat Services for log management.Annotation Queries and Panel Linking - Link logs and graphs for correlated insights.Dynamic Dashboard Variables & Graphs - Create interactive, responsive dashboards.Using Value Groups/Tags to manage different data sources efficiently.Setting Up Alerts & Notifications - Configure contact points and detect offline devices.Receiving Email Alerts using a local SMTP server for real-time notifications.Real-World Use Cases Covered:Monitoring Kubernetes Clusters with Prometheus and Grafana.Tracking System Performance with Node Exporters and Telegraf.Configuring SNMP Device Monitoring with InfluxDB.Analyzing Logs and Events from Elasticsearch and Loki.Setting Up Alerting Systems with Email, Slack, and Webhooks.What You'll Achieve:By the end of this course, you will:Have a dedicated Grafana server hosted in the cloud with SSL and a custom domain.Configure and manage various data sources and collectors with ease.Create dynamic dashboards and alerts for a complete observability solution.Be fully equipped to take your Grafana skills to the next level!Join me in this hands-on journey where you'll gain practical experience, sharpen your monitoring and alerting skills, and become a Grafana pro!Enroll now and start mastering Grafana today! Overview Section 1: Introduction to Grafana Lecture 1 Introduction - What you will Learn Lecture 2 Meet Grafana: The Artist of Metrics & Logs Lecture 3 Why Use Grafana? Key Features, Benefits, and Comparisons Lecture 4 Installing & Setting Up Grafana Across Environments Section 2: Grafana Configuration & Administration Lecture 5 Grafana Basic Configuration Lecture 6 Dashboard Construction Process and Components Lecture 7 Creating a Dashboard with Grafana Using Test Data Section 3: Start Playing with Realtime Dashboards Lecture 8 Learn How to Install Plugin in Grafana Lecture 9 Create a Data Source for CSV Data Lecture 10 Build DashBoards for CSV Data Lecture 11 Build DashBoards for CSV Data II Section 4: Transformations in Grafana Lecture 12 Transformations in Grafana Lecture 13 Apply Transformation on Data I Lecture 14 Apply Transformation on Data II Lecture 15 Real-Time Server State Visualization Section 5: Visualizing Time Series Data in Grafana Lecture 16 Introduction to Time Series Visualization Lecture 17 Create a Time Series dashboard Lecture 18 Create a Time Series dashboard II Section 6: Database Monitoring with Grafana : MySQL Lecture 19 SetUp the Machine and Install MySQL Server Lecture 20 SetUp the MySQL DB for Grafana Monitoring Lecture 21 SetUp Grafana DataSource for MySQL DB Monitoring Lecture 22 Prepare MySQL Grafana Dashboard I Lecture 23 Prepare MySQL Grafana Dashboard II Lecture 24 Prepare MySQL Grafana Dashboard III Lecture 25 Put Load on DB : Observability in Grafana Dashboard Section 7: Log Monitoring Grafana: Loki & Promtail Lecture 26 Purpose of Loki & Promtail Lecture 27 Install and Configure Loki Lecture 28 Install and Configure PromTail Lecture 29 LogQL Basics: Stream Selectors Explained Lecture 30 Advanced Log Filtering with LogQL Lecture 31 Grafana DashBoard for MySQL Logs DevOps Engineers & SREs,System Administrators & IT Professionals,Data Analysts & BI Professionals,Cloud Architects & Kubernetes Administrators,Anyone Interested in Data Visualization & Monitoring DDownload https://ddownload.com/0n9wdt36nt4q/yxusj.Udemy_Grafana_Masterclass_Observability_Monitoring_Alerts.part1.rar https://ddownload.com/ce8w7v3ollqw/yxusj.Udemy_Grafana_Masterclass_Observability_Monitoring_Alerts.part2.rar https://ddownload.com/0s5uqfsdka5y/yxusj.Udemy_Grafana_Masterclass_Observability_Monitoring_Alerts.part3.rar https://ddownload.com/1mnb1h9cw9wb/yxusj.Udemy_Grafana_Masterclass_Observability_Monitoring_Alerts.part4.rar https://ddownload.com/cecfx9bqpqmt/yxusj.Udemy_Grafana_Masterclass_Observability_Monitoring_Alerts.part5.rar AusFile https://ausfile.com/7tf6yuslmbem/yxusj.Udemy_Grafana_Masterclass_Observability_Monitoring_Alerts.part1.rar https://ausfile.com/4cmpzntwd3f2/yxusj.Udemy_Grafana_Masterclass_Observability_Monitoring_Alerts.part2.rar https://ausfile.com/981ei20hef0h/yxusj.Udemy_Grafana_Masterclass_Observability_Monitoring_Alerts.part3.rar https://ausfile.com/6twz5hc6vu49/yxusj.Udemy_Grafana_Masterclass_Observability_Monitoring_Alerts.part4.rar https://ausfile.com/l2kwmtba4cx0/yxusj.Udemy_Grafana_Masterclass_Observability_Monitoring_Alerts.part5.rar RapidGator https://rapidgator.net/file/d4dd55a29053fe60398c2b73eb11c40f/yxusj.Udemy_Grafana_Masterclass_Observability_Monitoring_Alerts.part1.rar https://rapidgator.net/file/312829764c16c23f088355c9181d7a0c/yxusj.Udemy_Grafana_Masterclass_Observability_Monitoring_Alerts.part2.rar https://rapidgator.net/file/cecb3ff56ce0584b3e6d328bfd5856dc/yxusj.Udemy_Grafana_Masterclass_Observability_Monitoring_Alerts.part3.rar https://rapidgator.net/file/f0b394444a37fd797ac567d106eef647/yxusj.Udemy_Grafana_Masterclass_Observability_Monitoring_Alerts.part4.rar https://rapidgator.net/file/5b70de4b46816bf31bcf79389a568ca7/yxusj.Udemy_Grafana_Masterclass_Observability_Monitoring_Alerts.part5.rar

Azure Governance and Compliance .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 30m | 119 MB Instructor: Landon Fowler Azure offers powerful tools to help organizations stay compliant and in control. This course will teach you how to implement governance and compliance across your Azure environment using services like Azure Policy, Management Groups, and more What you'll learn Managing cloud environments without proper structure and controls can lead to security risks, compliance issues, and unexpected costs. In this course, Azure Governance and Compliance, you'll learn to implement a governance framework that keeps your Azure environment secure, compliant, and well-organized. First, you'll explore the foundational governance tools in Azure, including Azure Policy, Azure management groups, and Azure Blueprints. Next, you'll discover how to use these tools to enforce organizational standards, control resource deployment, and manage costs effectively. Finally, you'll learn how to tie everything together into a cohesive governance strategy. When you're finished with this course, you'll have the skills and knowledge of Azure governance and compliance needed to confidently manage and scale your cloud environment with control and consistency. Homepage DDownload https://ddownload.com/pxo6kocx927d/yxusj.Azure.Governance.and.Compliance.By.Landon.Fowler.rar AusFile https://ausfile.com/tg6tfiyfd69n/yxusj.Azure.Governance.and.Compliance.By.Landon.Fowler.rar RapidGator https://rapidgator.net/file/13f98273644724f1916ada83e576385e/yxusj.Azure.Governance.and.Compliance.By.Landon.Fowler.rar