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Free Download Coursera - VLSI chip design with CPS for Industrial Applications Specialization Released 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 238 Lessons ( 29h 53m ) | Size: 4.61 GB Transform Industry with CPS and Embedded Systems. Master CPS design using ARM processors, Embedded C, and Micro Python for real-time data processing and cybersecurity What you'll learn Learn CPS with ARM processors and Embedded C for industrial applications, gaining practical insights into designing and implementing CPS components Master CPS design with ARM Core using Micro Python for industries, gaining practical skills in ARM processors, Micro Python programming Master CPS applications for Mechatronics, Healthcare, EV, and Robotics, ECU functionalities, diagnostics, EV control, and robotic arm automation Skills you'll gain Industrial Robotics Proficiency in Embedded C Automotive Mechatronics Basic Proficiency in Micro Python IoT applications Electric Vehicles Interfacing Sensors with ARM Cortex Processors This specialization, "Cyber Physical System for Industrial Applications," offers a thorough exploration of designing, implementing, and applying CPS technologies across industries. The courses cover essential topics such as embedded processors, wireless communication, and cybersecurity. In the first course, parti[beeep]nts learn to design CPS with ARM Processor using Embedded C, ensuring efficiency, security, and integration with wireless communication protocols. The second course delves into CPS Design with ARM Core using Micro Python, focusing on applications in consumer products, infrastructure management, and urban planning. The third course explores CPS Applications in Mechatronics, Healthcare, EV, and Robotics, providing practical experience in developing robotic arms for industrial automation. Overall, this specialization combines theoretical knowledge with practical application, equipping parti[beeep]nts with the skills needed to design, implement, and manage CPS solutions tailored to industrial needs, making them valuable assets in today's digital transformation landscape. Applied Learning Project Learners will master CPS design, development, and implementation, gaining hands-on experience in embedded systems, sensor integration, cybersecurity, and industry-specific applications, preparing them for key roles in driving digital transformation across industrial sectors Homepage https://www.coursera.org/specializations/vlsi-chip-design-with-cps Screenshot Rapidgator http://peeplink.in/021291c24309 Fikper Free Download https://fikper.com/KHVtABijrg/ldtda.Coursera..VLSI.chip.design.with.CPS.for.Industrial.Applications.Specialization.part3.rar.html https://fikper.com/MqgFgjKb4J/ldtda.Coursera..VLSI.chip.design.with.CPS.for.Industrial.Applications.Specialization.part2.rar.html https://fikper.com/Rlhb33moot/ldtda.Coursera..VLSI.chip.design.with.CPS.for.Industrial.Applications.Specialization.part1.rar.html https://fikper.com/fsORolnkp8/ldtda.Coursera..VLSI.chip.design.with.CPS.for.Industrial.Applications.Specialization.part4.rar.html https://fikper.com/owoeVrFZZy/ldtda.Coursera..VLSI.chip.design.with.CPS.for.Industrial.Applications.Specialization.part5.rar.html No Password - Links are Interchangeable

Free Download Coursera - Python for Everybody Specialization Last updated 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 181 Lessons ( 24h 50m ) | Size: 7.77 GB Learn to Program and Analyze Data with Python. Develop programs to gather, clean, analyze, and visualize data Skills you'll gain Json Xml Python Programming Database (DBMS) This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you'll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization. Homepage https://www.coursera.org/specializations/python Rapidgator http://peeplink.in/2807f6d140ab Fikper Free Download https://fikper.com/0tXrsSUKrm/vbuir.Coursera..Python.for.Everybody.Specialization.part03.rar.html https://fikper.com/GZ0e7qskZ7/vbuir.Coursera..Python.for.Everybody.Specialization.part08.rar.html https://fikper.com/TrVs3W6aqd/vbuir.Coursera..Python.for.Everybody.Specialization.part07.rar.html https://fikper.com/WCFKnP2l6c/vbuir.Coursera..Python.for.Everybody.Specialization.part06.rar.html https://fikper.com/fnNMG0hZ5h/vbuir.Coursera..Python.for.Everybody.Specialization.part05.rar.html https://fikper.com/jhCYJCcYtn/vbuir.Coursera..Python.for.Everybody.Specialization.part01.rar.html https://fikper.com/navgOf8nwU/vbuir.Coursera..Python.for.Everybody.Specialization.part04.rar.html https://fikper.com/zL4h434qOz/vbuir.Coursera..Python.for.Everybody.Specialization.part02.rar.html No Password - Links are Interchangeable

Free Download Coursera - Mind and Machine Specialization Last updated 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 31 Lessons ( 17h 18m ) | Size: 4 GB What you'll learn Develop connections between our understanding of human minds and artificial minds in the field of cognitive science. Discover and synthesize research in various disciplines related to cognitive science (e.g. computer science, psychology, neuroscience). Connect cognitive science principles and ideas to your own understanding. This specialization examines the ways in which our current understanding of human thinking is both illuminated and challenged by the evolving techniques and ideas of artificial intelligence and computer science. Our collective understanding of "minds" - both biological and computational - has been revolutionized over the past half-century by themes originating in fields like cognitive psychology, machine learning, neuroscience, evolutionary psychology, and game theory, among others. This specialization focuses on both the larger "historical" arc of these changes as well as current research directions and controversies. Applied Learning Project By completing the Mind and Machine specialization, students will be able to: (1) demonstrate their understanding of topics and strategies through quizzes, and (2) discuss and debate different arguments and interpretations of philosophical issues in discussions and peer-reviewed activities. Homepage https://www.coursera.org/specializations/mind-machine Screenshot Rapidgator http://peeplink.in/68b280186cd9 Fikper Free Download https://fikper.com/REVKGY1J3J/psisk.Coursera..Mind.and.Machine.Specialization.part5.rar.html https://fikper.com/VESDhH0NPC/psisk.Coursera..Mind.and.Machine.Specialization.part2.rar.html https://fikper.com/ZguGI6tdBt/psisk.Coursera..Mind.and.Machine.Specialization.part1.rar.html https://fikper.com/gYrpBOqA9y/psisk.Coursera..Mind.and.Machine.Specialization.part4.rar.html https://fikper.com/usaCHIlwAO/psisk.Coursera..Mind.and.Machine.Specialization.part3.rar.html No Password - Links are Interchangeable

Released 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 227 Lessons ( 14h 22m ) | Size: 3.74 GB Java Mastery: Building Web Apps. Gain expertise in building scalable, high-performance web applications using the Spring Framework, Java EE best practices, and advanced multi-threading techniques. Free Download What you'll learn Develop scalable web applications by applying the Spring Framework and Java EE best practices. Analyze and optimize application performance using advanced multi-threading techniques and concurrency control. Design modular and secure Java applications by implementing design patterns and utilizing Aspect-Oriented Programming (AOP). Skills you'll gain Java EE Design Patterns Spring MVC Architecture Spring Dependency Injection (DI) and Bean Management Java Multi-Threading and Concurrency Control Aspect-Oriented Programming (AOP) in Spring This specialization provides a deep dive into Java development for building scalable and robust web applications. Covering key topics such as the Spring Framework, Java EE best practices, and advanced multi-threading techniques, learners will gain the skills necessary to create high-performance, enterprise-grade applications. Through practical examples and industry-aligned content, this program equips learners to excel in the rapidly evolving field of Java web development. Applied Learning Project Learners will apply their skills to develop scalable and efficient web applications, using the Spring Framework and advanced Java techniques to solve real-world challenges and enhance performance in enterprise environments. They will also gain hands-on experience in managing complexity, ensuring security, and optimizing resource management for robust, high-performance applications. Homepage https://www.coursera.org/specializations/java-development-deep-divep-dive Screenshot Rapidgator http://peeplink.in/9f2f88655b02 Fikper Free Download https://fikper.com/1TxLEFysbg/xrtvv.Coursera..Java.Development.Deep.Dive.Specialization.part1.rar.html https://fikper.com/Hmn7GY7gbf/xrtvv.Coursera..Java.Development.Deep.Dive.Specialization.part4.rar.html https://fikper.com/IQD1kvsWof/xrtvv.Coursera..Java.Development.Deep.Dive.Specialization.part3.rar.html https://fikper.com/jXtUPrYZ9p/xrtvv.Coursera..Java.Development.Deep.Dive.Specialization.part2.rar.html No Password - Links are Interchangeable

Free Download Coursera - Introduction to Scripting in Python Specialization Last updated 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 96 Lessons ( 12h 13m ) | Size: 2.71 GB Launch Your Career in Python Programming. Master the core concepts of scripting in Python to enable you to solve practical problems. Skills you'll gain Codeskulptor Data Analysis Python Programming Data Visualization Developed by Rice University's world-class Computer Science & Data Science faculty, this specialization is intended for beginners who would like to master essential programming skills. Through four courses, you will cover key programming concepts in Python 3 which will prepare you to use Python to perform common scripting tasks. This knowledge will provide a solid foundation towards a career in data science , software engineering , or other disciplines involving programming. Applied Learning Project Each course ends with a practical project utilizing Python scripting skills . The introductory projects will focus on typical core scripting problems such as processing dates and finding differences in similar files. Later in the specialization, you will learn to work with data stored in files to do sports analytics and data visualization. These projects include reading historical data on baseball, computing statistics from this data, and analyzing the results. Finally, the specialization culminates in a project where you will import economic data from the World Bank, process that data, and visualize this data overlaid on a world map. Homepage https://www.coursera.org/specializations/introduction-scripting-in-python Rapidgator http://peeplink.in/a7cf236ceff9 Fikper Free Download https://fikper.com/EhQ2Zlfhtk/zzuip.Coursera..Introduction.to.Scripting.in.Python.Specialization.part1.rar.html https://fikper.com/R53zuPEMFI/zzuip.Coursera..Introduction.to.Scripting.in.Python.Specialization.part2.rar.html https://fikper.com/SADGDzchHK/zzuip.Coursera..Introduction.to.Scripting.in.Python.Specialization.part3.rar.html No Password - Links are Interchangeable

Free Download Coursera - Go Programming Language Specialization Released 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 207 Lessons ( 14h 54m ) | Size: 2 GB Harness the power of Go Programming Language to unlock its full potential for modern software development and become an expert in Go language. Develop practical applications, microservices, CLI tools, and more, and gain hands-on experience in solving complex problems with Golang. Skills you'll gain Reflection and Metaprogramming Real-time Problem-Solving Managing Goroutines and Channels Multithreading Cloud-Native Development Implement Design Patterns Golang Fundamentals Advanced Golang Concepts GIN Framework Our Golang specialization is suitable for individuals who are new to the field, as well as aspiring software developers, engineers, networking professionals, DevOps Engineers and computer science students who are seeking to enhance their abilities in Designing softwares, Programming Proficiency, Concurrency and Parallelism, Cloud-Native Development, Networking and Systems Programming, DevOps Practices through our carefully curated 4 courses. You will be able to design applications using Golang, work with multithreading, analyze threads, Implement goroutines and channels, design cloud native apps, analyse Reflection and Metaprogramming, Work with GIN framework, Implement design patterns, and perform various Problem-Solving Abilities using Golang. This specialization will provide you with the comprehensive skill set necessary for developing web based Golang applications. Elevate your knowledge with our specialized Golang program, a transformative learning experience designed to provide you with the necessary skills for efficient web development. Applied Learning Project Parti[beeep]nts will acquire proficiency in the skills and knowledge needed to excel in Golang development. Throughout the course, parti[beeep]nts will engage in a series of hands-on projects aimed at applying concepts learned in real-world scenarios, solidifying their understanding of Golang fundamentals to advanced concepts, concurrent programming, working on GIN framework and preparing them for success in various software development roles. The curriculum of the course will encompass a thorough exploration of techniques for web development, various concepts such as multithreading, profiling, concurrent programming, and cloud native applications . Each learner's ability to apply the knowledge acquired will be demonstrated through individual projects, which will serve as the culmination of their educational journey. Homepage https://www.coursera.org/specializations/go-programming-language Screenshot Rapidgator http://peeplink.in/d4dadf0ca774 Fikper Free Download https://fikper.com/DjbmEqu1pr/rwwrq.Coursera..Go.Programming.Language.Specialization.part3.rar.html https://fikper.com/J4GBD6oXfR/rwwrq.Coursera..Go.Programming.Language.Specialization.part1.rar.html https://fikper.com/Nhn2zZzNVI/rwwrq.Coursera..Go.Programming.Language.Specialization.part2.rar.html No Password - Links are Interchangeable

Free Download Coursera - Data Science Foundations Specialization by University of London Last updated 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 190 Lessons ( 14h 51m ) | Size: 2.55 GB Unlock Academic & Career Success with Data Science. Build the foundational knowledge and hands-on skills you need to forge new career opportunities, with no technical experience required. What you'll learn Foundational knowledge and practical understanding of data science that unlocks academic and career opportunities Basic hands-on skills in Python, R, SQL, and tools like GitHub and Jupyter Notebooks, including their essential features and uses in data science Foundational data science processes, including data collection, simple model building, and algorithm concepts using flowcharts and pseudocode. Basic data analysis with Python, using libraries like Pandas and Numpy, creating simple dashboards, and working with clustering algorithms. Skills you'll gain Data Acquisition Python (Programming Language) Project Management Data Science Machine Learning Nearly one in four job postings in the US alone require some data science skills and employers are paying up to 14% more for those skills. (Report : ExcelinEd & the Burning Glass Institute). This powerful specialisation from the University of London and IBM gives you the perfect academic and industry-informed practical introduction to data science. You get - Progress transfer for the University of London's BSc in Computer Science - The foundational skills and knowledge you need to get a job in a data-rich environment. During this specialisation, you'll be introduced to data science, statistics, programming, computational thinking, machine learning, and more. You'll discover the role of data science in today's data-driven world. Plus, you'll get hands-on using IBM's data science tools, giving you practical experience to talk about in interviews. Half the teaching is provided by Goldsmiths, University of London, giving you a strong academic foundation. The other half, designed by IBM, provides real-world professional insight supported by practical projects and a capstone project for your resume. The "Problems and Algorithms in Data Science" course is a great preview of the BSc Computer Science degree with the opportunity to roll your progress into the degree, if you successfully apply and register. If you're looking for a solid, practical understanding of data science that unlocks academic and career opportunities, ENROLL today! Applied Learning Project There are two Capstone projects that draw together the material across the Data Science Foundations specialization to enable you to apply what you have learned. In one project, students will tackle a prediction problem: forecasting the number of bicycles that will be rented on a given day. Using historical data, students will consider factors such as weather, the day of the week, and other relevant variables to accurately predict daily bicycle rentals. This will help ensure that the bicycle rental service is prepared with the appropriate number of bicycles each day. Students will learn specifically about data acquisition, linear regression, and correlation. In the other project, students will predict if the Falcon 9 rocket's first stage will land successfully and determine the cost of a launch. In doing so, students will apply skills to perform data collection, data wrangling, exploratory data analysis, data visualization model development, and model evaluation. Homepage https://www.coursera.org/specializations/data-science-foundations Screenshot Rapidgator http://peeplink.in/61feb558f69f Fikper Free Download https://fikper.com/DhezOirCgC/vgiav.Coursera..Data.Science.Foundations.Specialization.by.University.of.London.part1.rar.html https://fikper.com/HcJ79CHsgE/vgiav.Coursera..Data.Science.Foundations.Specialization.by.University.of.London.part2.rar.html https://fikper.com/IwH8cX1cav/vgiav.Coursera..Data.Science.Foundations.Specialization.by.University.of.London.part3.rar.html No Password - Links are Interchangeable

Free Download Coursera - Amazon Junior Software Developer Professional Certificate Released 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 136 Lessons ( 14h 10m ) | Size: 9.7 GB Launch your career as a Junior Software Developer. Build job-ready skills for an in-demand career in software development in as little as 4 months. No prior experience or degree required to get started. What you'll learn Gain essential skills in software development, including understanding roles, the SDLC, and various methodologies. Apply Java programming concepts such as manipulating data types, controlling flow, and employing object-oriented principles. Implement Java data structures and algorithms to ensure efficiency and performance. Develop skills in full-stack web development, including constructing dynamic web applications using Java technologies. Skills you'll gain Software Development Java Programming Generative AI SQL Database Management Full-Stack Web Development This program has been uniquely mapped to key job skills required in Junior software developer roles. In each course, you can consolidate what you have learned by completing a project that simulates real-world software development scenarios. You'll also complete a final capstone project where you'll work through the process of solving a fictional software development problem. The project will include practicing on A real-world scenario focused on developing a desktop application with integrated data handling and front-end GUI features. A real-world capstone project that enables you to demonstrate your software development skills. Based on this information, you will Apply software development principles to address real-world challenges, such as data management and user interface design. Create a substantial portfolio piece demonstrating capabilities in software development, which can be showcased to prospective employers. Prepare for entering the workforce with practical experience and tangible projects that highlight technical proficiency and problem-solving skills. Applied Learning Project This program has been mapped to key job skills required in Junior software developer roles. In each course, you can consolidate what you have learned by completing a project that simulates real-world software development scenarios. You'll also complete a final capstone project where you'll solve a fictional software development problem. The project will include practicing on a Real-world scenario focused on developing a desktop application with integrated data handling and front-end GUI features. Real-world capstone project that enables you to demonstrate your software development skills. Based on this information, you will Apply software development principles to address real-world challenges. Create a substantial portfolio piece demonstrating capabilities in software development, that can be showcased to prospective employers. Prepare for entering the workforce with practical experience and tangible projects that highlight technical proficiency and problem-solving skills. Homepage https://www.coursera.org/professional-certificates/amazon-junior-software-developer Screenshot Rapidgator http://peeplink.in/8e8028daefd4 Fikper Free Download https://fikper.com/156U3Gf7EG/ojztp.Coursera..Amazon.Junior.Software.Developer.Professional.Certificate.part09.rar.html https://fikper.com/1N0OSeLqT5/ojztp.Coursera..Amazon.Junior.Software.Developer.Professional.Certificate.part04.rar.html https://fikper.com/4LudkNfWhA/ojztp.Coursera..Amazon.Junior.Software.Developer.Professional.Certificate.part01.rar.html https://fikper.com/60CMFUY5cL/ojztp.Coursera..Amazon.Junior.Software.Developer.Professional.Certificate.part08.rar.html https://fikper.com/IcBdLP3TAd/ojztp.Coursera..Amazon.Junior.Software.Developer.Professional.Certificate.part06.rar.html https://fikper.com/KGPxSkTstW/ojztp.Coursera..Amazon.Junior.Software.Developer.Professional.Certificate.part07.rar.html https://fikper.com/PYBMGLYtHQ/ojztp.Coursera..Amazon.Junior.Software.Developer.Professional.Certificate.part02.rar.html https://fikper.com/TSWSGAKTPb/ojztp.Coursera..Amazon.Junior.Software.Developer.Professional.Certificate.part10.rar.html https://fikper.com/gYl42TaD0F/ojztp.Coursera..Amazon.Junior.Software.Developer.Professional.Certificate.part03.rar.html https://fikper.com/jBZbDrn8aq/ojztp.Coursera..Amazon.Junior.Software.Developer.Professional.Certificate.part05.rar.html No Password - Links are Interchangeable

Free Download Coursera - AI for Medicine Specialization Last updated 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 137 Lessons ( 6h 18m ) | Size: 813 MB What you'll learn Diagnose diseases from x-rays and 3D MRI brain images Predict patient survival rates more accurately using tree-based models Estimate treatment effects on patients using data from randomized trials Automate the task of labeling medical datasets using natural language processing Skills you'll gain Image Segmentation Machine Learning natural language extraction time-to-event modeling model interpretation AI is transforming the practice of medicine. It's helping doctors diagnose patients more accurately, make predictions about patients' future health, and recommend better treatments. This three-course Specialization will give you practical experience in applying machine learning to concrete problems in medicine. These courses go beyond the foundations of deep learning to teach you the nuances in applying AI to medical use cases. If you are new to deep learning or want to get a deeper foundation of how neural networks work, we recommend taking the Deep Learning Specialization . Applied Learning Project Medicine is one of the fastest-growing and important application areas, with unique challenges like handling missing data. You'll start by learning the nuances of working with 2D and 3D medical image data. You'll then apply tree-based models to improve patient survival estimates. You'll also use data from randomized trials to recommend treatments more suited to individual patients. Finally, you'll explore how natural language extraction can more efficiently label medical datasets. Homepage https://www.coursera.org/specializations/ai-for-medicine Screenshot Rapidgator http://peeplink.in/7d576a7bc935 Fikper Free Download https://fikper.com/8ZMEN7p4da/pmfaf.Coursera..AI.for.Medicine.Specialization.rar.html No Password - Links are Interchangeable

Free Download Coursera - Network Automation Engineering Fundamentals Specialization Released 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 74 Lessons ( 5h 38m ) | Size: 683 MB Launch Your Career in Network Automation Engineering Fundamentals. This Specialization provides an overview and a primer for network engineers looking to start their journey in Network Automation. What you'll learn The issues network automation can solve, building a foundation for further mastery The basics of NETCONF, RESTCONF, gNMI, and YANG modeling How to script security topics with Ansible and Python Skills you'll gain Yang RESTCONF Netconf Representational State Transfer (REST) ncclient Network Planning And Design Python Programming Python Scripting network automation Automation Configuration Management Yet Another Markup Language (YAML) Jinja (Template Engine) Ansible Docker CI/CD Pipeline Python Virtual Environments Devops Software Design Json Xml Application Programming Interfaces (API) The Network Automation Engineering Fundamentals Specialization takes mid- to expert-level network engineers through the primary topics of network automation and programmability and prepares them for the NetDevOps environment. This Specialization serves as a well-rounded survey of topics and core skills that a network automation engineer should know to effectively deploy and operate a NetDevOps environment. Completing this Specialization will help you prepare to operate as a network automation engineer with the skills needed to advance your career. Applied Learning Project We do not have any hands-on projects in this specialization curriculum. On Completion of this Specialization, you will be prepared to operate as a network automation engineer with the necessary skills needed to advance in your career. This Specialization serves as a well-rounded survey of topics and core skills that a network automation engineer should know to effectively deploy and operate a NetDevOps environment. Homepage https://www.coursera.org/specializations/networkautomation Rapidgator https://rg.to/file/980c8ec6d5de63747e71e5f5d1d6efbb/nehxc.Coursera..Network.Automation.Engineering.Fundamentals.Specialization.rar.html Fikper Free Download https://fikper.com/5StNRELRdR/nehxc.Coursera..Network.Automation.Engineering.Fundamentals.Specialization.rar No Password - Links are Interchangeable

Free Download Coursera - Integral Calculus through Data and Modeling Specialization Last updated 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 32 Lessons ( 8h 39m ) | Size: 605 MB Learn integral Calculus through modelling.. Master integration techniques for single and multivariable functions. What you'll learn Model and analyze data using techniques of integration for both single and multivariable functions. Numerical methods for integration Skills you'll gain Modeling Data Analysis Calculus functional analysis vectors This specialization builds on topics introduced in single and multivariable differentiable calculus to develop the theory and applications of integral calculus. , The focus on the specialization is to using calculus to address questions in the natural and social sciences. Students will learn to use the techniques presented in this class to process, analyze, and interpret data, and to communicate meaningful results, using scientific computing and mathematical modeling. Topics include functions as models of data, differential and integral calculus of functions of one and several variables, differential equations, and optimization and estimation techniques. Applied Learning Project In each module, learners will be provided with solved sample problems that they can use to build their skills and confidence followed by graded quizzes to demonstrate what they've learned. Through a cumulative project, students will apply their skills to model random chance events, evaluate a policy on air pollution regulation, and use calculus to estimate surface areas of land masses. Homepage https://www.coursera.org/specializations/integral-calculus-data-modeling TakeFile https://takefile.link/w1m2zmxtnkum/crqhp.Coursera..Integral.Calculus.through.Data.and.Modeling.Specialization.rar.html Rapidgator https://rg.to/file/2fbe485fa7cbf632e7fc404a45db6114/crqhp.Coursera..Integral.Calculus.through.Data.and.Modeling.Specialization.rar.html Fikper Free Download https://fikper.com/iw8ewc7Gnk/crqhp.Coursera..Integral.Calculus.through.Data.and.Modeling.Specialization.rar No Password - Links are Interchangeable

Free Download Coursera - Generative AI for Business Intelligence (BI) Analysts Specialization Released 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 39 Lessons ( 4h 1m ) | Size: 710 MB Unlock the Potential of Generative AI in BI. Learn how you can use the capabilities and tools of generative AI to boost your career in business intelligence What you'll learn Explain generative AI's fundamental capabilities and applications in the BI domain. Develop effective prompts using prompt engineering approaches and techniques. Apply generative AI tools and techniques to optimize every stage of the BI lifecycle. Explain ethical considerations, challenges, and best practices in implementing generative AI for BI. Skills you'll gain Generative AI Business Intelligence Data Analysis Data Visualization Artificial Intelligence Are you a business intelligence (BI) Analyst or aspiring to start your career in this domain? This specialization can help to advance your career by leveraging the power of generative AI. The specialization consists of three short, self-paced courses, each requiring 4-6 hours to complete. Explore the core concepts and capabilities of generative AI and learn to leverage these capabilities throughout the BI lifecycle. Learn the techniques of prompt engineering to optimize the outcomes produced by generative AI tools. Gain practical skills in using generative AI for different use cases in BI, including querying databases and documents, automating data visualization, and creating dashboards and reports. Learn how generative AI supports data analysis, synthetic data creation, and data cleansing. Explore several generative AI tools that can be used in the BI domain. Learn how common generative AI tools like ChatGPT and Microsoft Copilot can be used in BI. Through the hands-on labs and projects, you will gain valuable experience in harnessing generative AI in BI. You will hear from experts about their insights on the different concepts covered in the courses. Applied Learning Project Throughout this specialization, you will complete hands-on labs and projects to gain practical experience in leveraging generative AI for different use cases in the BI domains. You will learn how to draft effective prompts for generating relevant outputs regarding the common and specific scenarios in BI. Some examples of the labs includedare Generate Text Using Generative AI Generating Text, Images, and Code Experimenting with Prompts Naive Prompting and the Persona Pattern The Chain-of-Thought Approach in Prompt Engineering The Tree-of-Thought Approach in Prompt Engineering Data generation and cleansing Querying databases and documents Generating SQL queries with AI Data analysis using generative AI tools Data visualization with AI tools Project Homepage https://www.coursera.org/specializations/generative-ai-for-business-intelligence-analysts TakeFile https://takefile.link/n22teh9tk45n/xpdfv.Coursera..Generative.AI.for.Business.Intelligence.BI.Analysts.Specialization.rar.html Rapidgator https://rg.to/file/9ea32e9576686a9d01d189deb7818b18/xpdfv.Coursera..Generative.AI.for.Business.Intelligence.BI.Analysts.Specialization.rar.html Fikper Free Download https://fikper.com/iHijQugRu2/xpdfv.Coursera..Generative.AI.for.Business.Intelligence.BI.Analysts.Specialization.rar No Password - Links are Interchangeable

Free Download Coursera - C Programming for Everybody Specialization Released 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 41 Lessons ( 7h 36m ) | Size: 1.7 GB Understand the importance of C and how C, UNIX, and Linux laid the foundation for our entire modern computing environment. What you'll learn Understand how a programming language leads to software portability Learn to write simple C Programs Learn to build a simple implementation of a Python object Skills you'll gain Computer Architecture Object Oriented Programming Language Learning the foundational elements of C can help anyone interested in programming increase their proficiency in languages like C++, Java, JavaScript, and Python. In C Programming for Everybody, you'll learn the history of C and C syntax as you build foundational programming knowledge with C. Apply your knowledge to several exercises throughout each course as you move into more advanced concepts. This specialization allows you to go at your own pace, giving you control over how to approach more complex exercises. Regardless of the programming language you're familiar with, C Programming for Everybody is perfect for both programming novices and seasoned programmers looking to get a refresher on the C programming basics. Applied Learning Project This specialization includes several increasingly challenging programming exercises ranging from a few minutes of effort to several hours of development. Learners will encounter how to implement the patterns of Python objects in C, identify and fix errors within code, and implement a list of data structures based on a predetermined code structure in C to determine how it functions in Python. As learners encounter more complex concepts, we adjust the pace to ensure students understand the material before moving on, building upon previous lessons as we go. Homepage https://www.coursera.org/specializations/c-programming-for-everybody TakeFile https://takefile.link/bszjw0lt341d/tliln.Coursera..C.Programming.for.Everybody.Specialization.part1.rar.html https://takefile.link/jptla2khpc11/tliln.Coursera..C.Programming.for.Everybody.Specialization.part2.rar.html Rapidgator https://rg.to/file/9c22a8e5e518972872a99efd6e251002/tliln.Coursera..C.Programming.for.Everybody.Specialization.part1.rar.html https://rg.to/file/ae3b69d6a32011fa3798bf48ff814b5d/tliln.Coursera..C.Programming.for.Everybody.Specialization.part2.rar.html Fikper Free Download https://fikper.com/CFC7wRMBfI/tliln.Coursera..C.Programming.for.Everybody.Specialization.part1.rar https://fikper.com/2P19894RWo/tliln.Coursera..C.Programming.for.Everybody.Specialization.part2.rar No Password - Links are Interchangeable

Free Download Coursera - Vector Database Fundamentals Specialization Released 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 29 Lessons ( 2h 31m ) | Size: 382 MB Future-proof your AI/data career. Get job-ready vector database skills employers are actively looking for in just 1 month. What you'll learn Sought-after vector database skills businesses need for real-world applications like gen AI, text similarity analysis, and recommendation engines How to develop vector database environments using embeddings, collections, and queries using Chroma DB, PostgreSQL, MongoDB, and Cassandra How to analyze vector data using techniques such as cosine similarity How to create recommendation system applications powered by vector databases Skills you'll gain Data Science Vector databases Recommendation systems Artificial Intelligence Recommender Systems Machine Learning Vector databases are the engines behind AI applications. Companies investing heavily in AI need expertise to build AI-powered technologies such as recommendation engines, search engine information retrieval, machine learning tasks, data analysis, semantic matching, and content generation. This ongoing growth and increasing demand for novel uses of AI-powered applications means that the need for data professionals with vector database skills will continue to grow. This Vector Database Fundamentals Specialization provides application developers, data scientists, and other AI professionals with valuable vector database skills for building real-world applications such as recommendation engines, personalized user experiences, and other new AI-powered technologies. Acquire these in-demand vector database skills in this specialization using Chroma DB, MongoDB, PostgreSQL, and Cassandra. You'll perform vector database tasks such as creating embeddings and collections, plus similarity searches, including the computation of similarity scores between query embeddings and document embeddings. You'll gain practical skills through hands-on labs. And you'll complete a capstone project where you'll put your new skills into practice and incorporate RAG and LangChain to solve a real-world business problem using vector data. Great experience for interviews and your resume! Enroll today and future-proof your AI and data career with the vector database skills businesses need. Applied Learning Project This Specialization emphasizes applied learning and includes hands-on activities and projects you can talk about with colleagues and in interviews. In these exercises, you'll take the theory and skills you've gained and practice them with real-world scenarios. Projects include Setting up environments for vector database operations and performing day-to-day database tasks using Chroma DB. Storing, indexing, and querying data, including performing vector text similarity searches, and building recommendation systems using MongoDB and Cassandra. Applying efficient vector storage, retrieval, and search optimization techniques in PostgreSQL. Creating a robust real-world application that uses vector data to solve a business problem. Homepage https://www.coursera.org/specializations/vector-database-fundamentals TakeFile https://takefile.link/9la75482qmok/kugiw.Coursera..Vector.Database.Fundamentals.Specialization.rar.html Rapidgator http://peeplink.in/32d299810a8b Fikper Free Download https://fikper.com/kMsnLEEUnW/kugiw.Coursera..Vector.Database.Fundamentals.Specialization.rar.html No Password - Links are Interchangeable

Free Download Coursera - Software Architecture for Big Data Specialization Released 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 35 Lessons ( 3h 38m ) | Size: 427 MB Big Data Meets Software Engineering. Learn the principles of building and architecting large systems with big data What you'll learn Practice software engineering fundamentals; test first development, refactoring, continuous integration, and continuous delivery. Architect and create a big data or distributed system using rest collaboration, event collaboration, and batch processing. Create4 a performant, scalable distributed system that handles big data. Skills you'll gain Software Engineering Distributed Computing Big Data Microservices Real-time Systems This specialization is for software engineers interested in the principles of building and architecting large software systems that use big data. Through three courses you will learn about how to build and architect performant distributed systems from industry experts at Initial Capacity. This specialization can be taken for academic credit as part of CU Boulder's MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science:https://www.coursera.org/degrees/master-of-science-data-science-boulder MS in Computer Science:https://coursera.org/degrees/ms-computer-science-boulder Applied Learning Project The first course will introduce you to software architecture and design concepts necessary to build and scale large, data intensive, distributed systems. Starting with software engineering best practices and loosely coupled, highly cohesive data microservices, the course will take you through the evolution of a distributed system over time. In the second course you will then learn what is needed to take big data to production, transforming big data prototypes into high quality tested production software. You will measure the performance characteristics of distributed systems, identify trouble areas, and implement scalable solutions to improve performance The specialization concludes with a projects course in which you will use learnings from the first and second courses to build a production-ready distributed system. As you progress, your instructors will guide you around common pitfalls and share their experiences in building big data systems. Homepage https://www.coursera.org/specializations/software-architecture-big-data TakeFile https://takefile.link/3t93oc6zevd1/mhsho.Coursera..Software.Architecture.for.Big.Data.Specialization.rar.html Rapidgator http://peeplink.in/8f416ee6b7db Fikper Free Download https://fikper.com/CrJMBoV6at/mhsho.Coursera..Software.Architecture.for.Big.Data.Specialization.rar.html No Password - Links are Interchangeable

Free Download Coursera - Generative AI for Software Development Skill Certificate Released 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 75 Lessons ( 6h 18m ) | Size: 4 GB Leverage AI in your software development workflow. Enhance your skills as a software developer, grow your career, and stay competitive in this fast-paced industry. What you'll learn Learn how LLMs work. By knowing how machine learning systems work, you'll be able to use them more effectively to support your work as a developer. Experiment quickly. Using LLMs can speed up your ability to prototype and test new features, allowing you to quickly iterate and ship your code. Optimize your code quality. Get to production-ready code faster by working with an LLM to find and fix bugs. Team up with AI on engineering tasks. Break through roadblocks and with your team by leveraging an LLM's knowledge of development roles and tasks. Skills you'll gain Software Engineering Large Language Models Software Development Generative AI Machine Learning Generative AI is transforming software development by enhancing and augmenting traditional coding practices. In this Skill Certificate from DeepLearning.AI, you'll learn from Laurence Moroney, former AI lead at Google, as he guides you through a comprehensive pathway to understand and apply generative AI technologies in real-world software development. As AI-powered coding tools are set to transform the industry, with Gartner predicting 70% adoption by platform engineering teams by 2027, this program will support you in learning these technologies at all stages of your career. It will show you how to use LLMs to leverage your own experience and knowledge to become a faster, more productive worker. You will be introduced to a new paradigm for software development, where LLMs become invaluable members of your development team by acting as pair coding partners, software testers, security experts, and knowledgeable colleagues. Go beyond theory and apply your new skills to real-world projects. This hands-on approach ensures you graduate with the practical expertise to leverage generative AI and augment your development workflow. When you complete the program, you'll earn a Skill Certificate from DeepLearning.AI, demonstrating your aptitude with the latest GenAI skills and tools to help you advance in your career. Applied Learning Project Pair-coding with an LLM to efficiently modify data structures for use in production and at big data scales Work with an LLM as a skilled software tester to identify bugs, create edge case tests, and update code to correct errors Implement a functioning local database from scratch, and partner with an LLM to think through software design issues and how to optimize for efficient, secure data access. Homepage https://www.coursera.org/professional-certificates/generative-ai-for-software-development Rapidgator https://rg.to/file/3f20a326c6bcfe4a21edae42cdc5f8aa/gfcvp.Coursera..Generative.AI.for.Software.Development.Skill.Certificate.part2.rar.html https://rg.to/file/3f81e2f63958f31f54c5177fd8af6c08/gfcvp.Coursera..Generative.AI.for.Software.Development.Skill.Certificate.part4.rar.html https://rg.to/file/7849c6950ee5de867732522b303fbbf0/gfcvp.Coursera..Generative.AI.for.Software.Development.Skill.Certificate.part3.rar.html https://rg.to/file/84348e0d357643d3196c50c7c9d5902c/gfcvp.Coursera..Generative.AI.for.Software.Development.Skill.Certificate.part1.rar.html https://rg.to/file/daa189fa7b5398ffe935f2adcc7c79dd/gfcvp.Coursera..Generative.AI.for.Software.Development.Skill.Certificate.part5.rar.html Fikper Free Download https://fikper.com/78xJMYXcRt/gfcvp.Coursera..Generative.AI.for.Software.Development.Skill.Certificate.part3.rar.html https://fikper.com/CmvKUw8uaI/gfcvp.Coursera..Generative.AI.for.Software.Development.Skill.Certificate.part2.rar.html https://fikper.com/F5lCK6BVl2/gfcvp.Coursera..Generative.AI.for.Software.Development.Skill.Certificate.part1.rar.html https://fikper.com/sG1I9CUtkM/gfcvp.Coursera..Generative.AI.for.Software.Development.Skill.Certificate.part4.rar.html https://fikper.com/zy6iQwn3Mn/gfcvp.Coursera..Generative.AI.for.Software.Development.Skill.Certificate.part5.rar.html No Password - Links are Interchangeable

Free Download Coursera - DeepLearning.AI Data Engineering Professional Certificate Released 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: Lessons () | Size: 8.88 GB Learn the principles of effective data engineering. Build your skills in the high-demand field of data engineering and learn how you can deliver real business value by applying a core set of principles and strategies for developing data systems. What you'll learn Develop a mental model for the field of data engineering as a whole, including the data engineering lifecycle and its undercurrents. Learn a framework for approaching any data engineering project you work on so you can effectively create business value with data. Build your skill in the five stages of the data engineering lifecycle; including generating, ingesting, storing, transforming, and serving data. Learn the principles of good data architecture and apply them to build data systems on the AWS cloud. Skills you'll gain Data Management DataOps Data Warehousing Data Modeling Data Management Platforms Data Architecture Data Transformation Data Engineering Data transformation Data Orchestration The DeepLearning.AI Data Engineering Professional Certificate is a comprehensive online program for data engineers and practitioners looking to start or grow their careers. Organizations of all sizes and across all industries are capturing and generating data at an ever-increasing pace. Within these organizations, every team, from executives, sales and marketing, finance and operations, product and engineering, to customer service, can derive insights and value from organizational data. Whether the end use case is data science, machine learning, or analytics, data engineering is what allows raw data to be converted to value for the business. This is why the role of data engineer is one of the highest-demand jobs in tech today. Throughout this program, you'll learn the foundations of data engineering while gaining hands-on experience designing and implementing data architectures using AWS and open-source tools. Taught by industry expert Joe Reis, co-author of Fundamentals of Data Engineering, this certificate equips you with the skills and knowledge to excel in a high-demand field, focusing on ingesting, processing, transforming, storing, and serving data to data stakeholders to drive organizational and business objectives. The practical labs were developed in partnership with AWS and Factored.AI to provide you with an authentic experience building data systems on the cloud. With this certificate, you will have the tools to further your data engineering career. Applied Learning Project In this program, you'll Translate stakeholder needs into system requirements and choose the appropriate tools to build the system. Build end-to-end batch and streaming pipelines on AWS for a product recommendation system. Apply principles of good data architecture to assess the security, performance, reliability, and scalability of data systems on AWS. Explore various types of source systems and troubleshoot common connectivity issues. Use infrastructure and pipelines as code tools to orchestrate, automate, and monitor your data pipelines. Design data lake and data lakehouse storage architectures for various use cases. Explore the impact of data storage choices on query performance and cost. Model and transform data for analytics and machine learning use cases and compare centralized processing frameworks such as Pandas with distributed processing frameworks like Spark. Serve your data to downstream data stakeholders for business analytics and machine learning use cases. 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Free Download Coursera - Fundamentals of Computing Specialization Last updated 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 277 Lessons ( 49h 6m ) | Size: 14.3 GB Prepare for Advanced Computer Science Courses. Learn how to program and think like a Computer Scientist Skills you'll gain Recursion Algorithms Python Programming Dynamic Programming This Specialization covers much of the material that first-year Computer Science students take at Rice University, brought to you by the world-class Faculty who teach our master's and PhD programs. Students learn sophisticated programming skills in Python from the ground up and apply these skills in building more than 20 fun projects. The Specialization concludes with a Capstone exam that allows the students to demonstrate the range of knowledge that they have acquired in the Specialization. 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Free Download Coursera - Rust Programming Specialization Released 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 397 Lessons ( 32h 30m ) | Size: 3.7 GB Master Rust for Powerful Systems Programming. Learn to build robust and efficient software with Rust's unique safety and speed through projects in data engineering, Linux tools, DevOps, LLMs, Cloud Computing, and machine learning operations. Skills you'll gain Computer Programming Rust (Programming Language) Cargo Information Engineering Cloud Computing Command-Line Interface Polars Devops AWS Lambda Natural Language Processing AI pair programming serverless This comprehensive Rust Specialization from Coursera and Duke University, a top Data Science and AI program, provides software engineers, data scientists, and technical professionals with applied skills to leverage Rust's speed, safety, and versatility for robust systems programming. Over five courses spanning foundational syntax to advanced machine learning integrations, master Rust programming through hands-on lessons and 20+ coding projects, then tackle real-world challenges like building a database migration tool, optimizing an ML pipeline, or creating a Linux automation script. Upon completion, you'll have portfolio-ready Rust abilities to apply for roles like Platform Engineer, MLOps Engineer, Data Engineer, Embedded Engineer, or Backend Developer. Applied Learning Project Through over 20 hands-on coding projects like building a Rust chatbot, containerizing a web service, developing a Linux automation script, or optimizing a machine learning pipeline, learners will gain authentic, portfolio-ready experience applying their Rust skills to tackle real-world systems programming problems designed by experts at Duke University. Homepage https://www.coursera.org/specializations/rust-programming TakeFile https://takefile.link/uvs2hkfpv9ie/rqzaj.Coursera..Rust.Programming.Specialization.part1.rar.html https://takefile.link/bkldycm3y6g5/rqzaj.Coursera..Rust.Programming.Specialization.part2.rar.html https://takefile.link/dryiapx9gb6t/rqzaj.Coursera..Rust.Programming.Specialization.part3.rar.html https://takefile.link/koz7zgmgrfpd/rqzaj.Coursera..Rust.Programming.Specialization.part4.rar.html Rapidgator http://peeplink.in/b094dca69ac1 Fikper Free Download https://fikper.com/ewZ1WBzV7o/rqzaj.Coursera..Rust.Programming.Specialization.part1.rar.html https://fikper.com/IkOLGT80CS/rqzaj.Coursera..Rust.Programming.Specialization.part2.rar.html https://fikper.com/lYGTqGzhFl/rqzaj.Coursera..Rust.Programming.Specialization.part3.rar.html https://fikper.com/C8IBSb2fuH/rqzaj.Coursera..Rust.Programming.Specialization.part4.rar.html No Password - Links are Interchangeable

Free Download Coursera - Python 3 Programming Specialization Last updated 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 295 lessons ( 28h 36m ) | Size: 4.7 GB Become a Fluent Python Programmer. Learn the fundamentals and become an independent programmer. What you'll learn Learn Python 3 basics, from the basics to more advanced concepts like lists and functions. Practice and become skilled at solving problems and fixing errors in your code. Gain the ability to write programs that fetch data from internet APIs and extract useful information. Skills you'll gain Json Computer Programming Python Programming Sorting This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance. You will have lots of opportunities to practice. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they don't work. By the end of the specialization, you'll be writing programs that query Internet APIs for data and extract useful information from them. And you'll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer. This specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice, so that you can proceed with confidence to specializations like Applied Data Science with Python . But it is also appropriate as a first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first. Applied Learning Project By the end of the second course, you will create a simple sentiment analyzer that counts the number of positive and negative words in tweets. In the third course, you will mash up two APIs to create a movie recommender. The final course, Python Project: pillow, tesseract, and opencv (Course 5), is an extended project in which you'll perform optical character recognition (OCR) and object detection in images. Homepage https://www.coursera.org/specializations/python-3-programming TakeFile https://takefile.link/a3img3ofabso/xzeyn.Coursera..Python.3.Programming.Specialization.part1.rar.html https://takefile.link/44y9daqqjz3k/xzeyn.Coursera..Python.3.Programming.Specialization.part2.rar.html https://takefile.link/mrsg1jo7dgae/xzeyn.Coursera..Python.3.Programming.Specialization.part3.rar.html https://takefile.link/2tqkyo592jim/xzeyn.Coursera..Python.3.Programming.Specialization.part4.rar.html https://takefile.link/yu96g8419owr/xzeyn.Coursera..Python.3.Programming.Specialization.part5.rar.html Rapidgator http://peeplink.in/fbc05f03b5e0 Fikper Free Download https://fikper.com/go81yCruWf/xzeyn.Coursera..Python.3.Programming.Specialization.part1.rar.html https://fikper.com/ytoWgjAWhb/xzeyn.Coursera..Python.3.Programming.Specialization.part2.rar.html https://fikper.com/ZNcV0hpXz3/xzeyn.Coursera..Python.3.Programming.Specialization.part3.rar.html https://fikper.com/XiWlyHe18v/xzeyn.Coursera..Python.3.Programming.Specialization.part4.rar.html https://fikper.com/uil1sbmN1e/xzeyn.Coursera..Python.3.Programming.Specialization.part5.rar.html No Password - Links are Interchangeable

Free Download Coursera - Network Systems Principles in Practice Specialization Released 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 97 Lessons ( 21h 30m ) | Size: 2.68 GB Master Modern Networking. Gain Hands-On Experience in Linux and Cloud Networking What you'll learn Apply the foundations of networking and describe each of the layers in the network stack Build and troubleshoot networked infrastructure with Linux networking Architect and create network infrastructure in the cloud Skills you'll gain Network Security Software-defined Networking Google Cloud Platform (GCP) Virtual Networking Cloud Networking Software-Defined Networking Nodes (Networking) Terraform Networking Kubernetes Routing Network Switches This specialization covers the fundamentals of networking within modern computing infrastructure. IT infrastructure has shifted towards software-oriented networks and cloud-based services, changing the roles of engineers. The specialization begins with Network Systems Principles to establish a foundation. Whether you have prior experience or not, this section will be beneficial. Next, we focus on two key areas: Linux Networking and Cloud Networking. In Linux Networking, you'll learn to build network infrastructure using Linux, applicable to switches, routers, and containerized infrastructure like Kubernetes. In Cloud Networking, you'll explore network abstractions in the cloud and understand the underlying infrastructure of cloud providers. By the end, you'll be equipped to create complex networked applications in the cloud and effectively troubleshoot them. This course can be taken for academic credit as part of CU Boulder's Masters of Science in Computer Science (MS-CS) degrees offered on the Coursera platform. This fully accredited graduate degree offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Computer Science:https://coursera.org/degrees/ms-computer-science-boulder Applied Learning Project Throughout the specialization, learners will engage in projects like building Linux-based network infrastructure, work with different cloud network services, and troubleshooting networks. You'll set up virtual routers, create cloud networks, and optimize performance, gaining practical skills in modern networking. Homepage https://www.coursera.org/specializations/network-systems-principles-in-practice TakeFile https://takefile.link/580bi54mtdmx/ifmbn.Coursera..Network.Systems.Principles.in.Practice.Specialization.part1.rar.html https://takefile.link/54t3uqi0yjh5/ifmbn.Coursera..Network.Systems.Principles.in.Practice.Specialization.part2.rar.html https://takefile.link/5qgc6wy10ktt/ifmbn.Coursera..Network.Systems.Principles.in.Practice.Specialization.part3.rar.html Rapidgator http://peeplink.in/3028a961e6c5 Fikper Free Download https://fikper.com/BkxqFQh3al/ifmbn.Coursera..Network.Systems.Principles.in.Practice.Specialization.part1.rar.html https://fikper.com/h9H05iqNip/ifmbn.Coursera..Network.Systems.Principles.in.Practice.Specialization.part2.rar.html https://fikper.com/6a49r9jCRf/ifmbn.Coursera..Network.Systems.Principles.in.Practice.Specialization.part3.rar.html No Password - Links are Interchangeable

Free Download Coursera - Excel to MySQL - Analytic Techniques for Business Specialization Last updated 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 180 Lessons ( 20h 11m ) | Size: 4.3 GB Turn Data Into Value. Drive business process change by identifying & analyzing key metrics in 4 industry-relevant courses. Skills you'll gain Business Communication Big Data Binary Classification Data Analysis Microsoft Excel Business Analysis SQL Business Analytics Tableau Software Data Visualization MySQL In this Specialization, you'll learn to frame business challenges as data questions. You'll use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights. In the final Capstone Project, you'll apply your skills to explore and justify improvements to a real-world business process. The Capstone Project focuses on optimizing revenues from residential property, and Airbnb, our Capstone's official Sponsor, provided input on the project design. Airbnb is the world's largest marketplace connecting property-owner hosts with travelers to facilitate short-term rental transactions. The top 10 Capstone completers each year will have the opportunity to present their work directly to senior data scientists at Airbnb live for feedback and discussion. Homepage https://www.coursera.org/specializations/excel-mysql TakeFile https://takefile.link/ebl5l84illcx/jaiya.Coursera..Excel.to.MySQL.Analytic.Techniques.for.Business.Specialization.part1.rar.html https://takefile.link/jeagzae4znun/jaiya.Coursera..Excel.to.MySQL.Analytic.Techniques.for.Business.Specialization.part2.rar.html https://takefile.link/cfmmd876x7cp/jaiya.Coursera..Excel.to.MySQL.Analytic.Techniques.for.Business.Specialization.part3.rar.html https://takefile.link/8kzicrs9cb9l/jaiya.Coursera..Excel.to.MySQL.Analytic.Techniques.for.Business.Specialization.part4.rar.html https://takefile.link/gg5ugxabjv2w/jaiya.Coursera..Excel.to.MySQL.Analytic.Techniques.for.Business.Specialization.part5.rar.html Rapidgator http://peeplink.in/deaff34b5d04 Fikper Free Download https://fikper.com/b7LS8Y9Qcm/jaiya.Coursera..Excel.to.MySQL.Analytic.Techniques.for.Business.Specialization.part1.rar.html https://fikper.com/RSElssBMUC/jaiya.Coursera..Excel.to.MySQL.Analytic.Techniques.for.Business.Specialization.part2.rar.html https://fikper.com/HpdXVo05Ww/jaiya.Coursera..Excel.to.MySQL.Analytic.Techniques.for.Business.Specialization.part3.rar.html https://fikper.com/eiEupkn2Yr/jaiya.Coursera..Excel.to.MySQL.Analytic.Techniques.for.Business.Specialization.part4.rar.html https://fikper.com/Mut3LAIBkh/jaiya.Coursera..Excel.to.MySQL.Analytic.Techniques.for.Business.Specialization.part5.rar.html No Password - Links are Interchangeable

Free Download Coursera - Embedded Interface Design Specialization Last updated 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 89 Lessons ( 13h 50m ) | Size: 2 GB Connecting Devices to People and Systems. Methods, protocols, and prototyping for UI/UX design of embedded and IoT devices What you'll learn User experience (UX) and user interface (UI) design considerations and methods for embedded devices and systems Machine-to-machine (M2M) and internet of things (IoT) protocols and architectures, including leveraging cloud platforms for system designs Rapid prototyping for embedded devices to explore interface and system designs, leveraging UI tools, single-board computers, sensors, and the cloud Skills you'll gain Rapid Prototyping Software Development Internet Of Things (IOT) User Interface Design (UI Design) User Experience (UX) The objective of this specialization is to provide an understanding of interface design approaches and architectures for creating solid user experiences in embedded system prototypes and products. For both machine and user interfaces, we will look at the best practices for the interface design process, including considerations of the nature and content of interaction, whether between devices, between a device and a user, or in more complex systems. Applied Learning Project Projects provide experience in using key UX design methods, prototyping software-based embedded GUIs, and leveraging the cloud for prototyping IoT system elements while leveraging a wide array of functionality. Software elements include Python, Node.JS, Qt, HTML, and AWS. Homepage https://www.coursera.org/specializations/embedded-interface-design TakeFile https://takefile.link/6nn3nw9kt75c/xmsgs.Coursera..Embedded.Interface.Design.Specialization.part1.rar.html https://takefile.link/kcthm18wxqf7/xmsgs.Coursera..Embedded.Interface.Design.Specialization.part2.rar.html https://takefile.link/ejc81q5mzckl/xmsgs.Coursera..Embedded.Interface.Design.Specialization.part3.rar.html Rapidgator http://peeplink.in/3286b6c79a88 Fikper Free Download https://fikper.com/FkqocRgvvH/xmsgs.Coursera..Embedded.Interface.Design.Specialization.part1.rar.html https://fikper.com/hM66utvQPj/xmsgs.Coursera..Embedded.Interface.Design.Specialization.part2.rar.html https://fikper.com/WqNLmUY3cU/xmsgs.Coursera..Embedded.Interface.Design.Specialization.part3.rar.html No Password - Links are Interchangeable

Free Download Coursera - Machine Learning Theory and Hands-on Practice with Python Specialization Last updated 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 71 Lessons ( 14h 34m ) | Size: 1.4 GB Develop Foundational Machine Learning Skills. Add Supervised, Unsupervised, and Deep Learning techniques to your Data Science toolkit. What you'll learn Explore several classic Supervised and Unsupervised Learning algorithms and introductory Deep Learning topics. Build and evaluate Machine Learning models utilizing popular Python libraries and compare each algorithm's strengths and weaknesses. Explain which Machine Learning models would be best to apply to a Machine Learning task based on the data's properties. Improve model performance by tuning hyperparameters and applying various techniques such as sampling and regularization. Skills you'll gain Unsupervised Learning Python Programming Deep Learning hyperparameter tuning Supervised Learning In the Machine Learning specialization, we will cover Supervised Learning, Unsupervised Learning, and the basics of Deep Learning. You will apply ML algorithms to real-world data, learn when to use which model and why, and improve the performance of your models. Starting with supervised learning, we will cover linear and logistic regression, KNN, Decision trees, ensembling methods such as Random Forest and Boosting, and kernel methods such as SVM. Then we turn our attention to unsupervised methods, including dimensionality reduction techniques (e.g., PCA), clustering, and recommender systems. We finish with an introduction to deep learning basics, including choosing model architectures, building/training neural networks with libraries like Keras, and hands-on examples of CNNs and RNNs. This specialization can be taken for academic credit as part of CU Boulder's MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science:https://www.coursera.org/degrees/master-of-science-data-science-boulder MS in Computer Science:https://coursera.org/degrees/ms-computer-science-boulder Applied Learning Project In this specialization, you will build a movie recommendation system, identify cancer types based on RNA sequences, utilize CNNs for digital pathology, practice NLP techniques on disaster tweets, and even generate your images of dogs with GANs. You will complete a final supervised, unsupervised, and deep learning project to demonstrate course mastery. Homepage https://www.coursera.org/specializations/machine-learnin-theory-and-hands-on-practice-with-pythong-cu TakeFile https://takefile.link/slfcret4wdxa/qwqya.Coursera..Machine.Learning.Theory.and.Handson.Practice.with.Python.Specialization.part1.rar.html https://takefile.link/couswvh71783/qwqya.Coursera..Machine.Learning.Theory.and.Handson.Practice.with.Python.Specialization.part2.rar.html Rapidgator http://peeplink.in/907d46c302f7 Fikper Free Download https://fikper.com/zxz1kOVrwX/qwqya.Coursera..Machine.Learning.Theory.and.Handson.Practice.with.Python.Specialization.part1.rar.html https://fikper.com/2k2TCX4W3K/qwqya.Coursera..Machine.Learning.Theory.and.Handson.Practice.with.Python.Specialization.part2.rar.html No Password - Links are Interchangeable

Free Download Coursera - MathWorks Computer Vision Engineer Professional Certificate Released 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 108 Lessons ( 8h 48m ) | Size: 3.42 GB Advance your career with computer vision skills. Learn and apply the computer vision skills needed to effectively address real-world challenges experienced across many industries. What you'll learn Automatically extract information from images Detect and track objects in images and videos Apply the full deep-learning workflow to computer vision challenges Export models to common formats like Tensorflow or PyTorch Skills you'll gain Image Processing Image Segmentation Computer Vision Object Detection Deep Learning MATLAB Image Classification Video Processing Prepare for a career in the rapidly expanding field of computer vision. The ability to extract meaningful information from visual data is crucial for efficiently developing smart monitoring systems, enhancing medical diagnostics, and powering the next generation of autonomous vehicles. This program is designed to transform those with little or no prior image data experience into proficient computer vision practitioners by completing several hands-on projects with real-world applications. By the end of the program, you will have the skills necessary to automate image processing tasks, detect and track motion, train deep learning models for image classification and object detection tasks, and implement advanced deep learning techniques like data augmentation and AI-assisted annotation. Possessing these skills will prepare you to keep pace with modern systems, which increasingly incorporate cameras into their designs. Throughout the program, you will use MATLAB, an industry-standard platform known for its user-friendly interface and robust functions that simplify complex algorithms. The intuitive apps and functions mean that you don't need to be a programmer or math expert to achieve success. You will leverage MATLAB capabilities to rapidly prototype and iterate on solutions, giving you a competitive edge in the job market and the confidence to push the boundaries of what's possible in computer vision and deep learning. Applied Learning Project This professional certificate includes several real-world projects to ensure you are industry-ready. Measuring Antarctic ice melt by analyzing satellite images Detecting and tracking cars on a busy highway Examining the Martian surface by stitching together images from a Mars rover Detecting and classifying the letters of the ASL alphabet for accessible communication Identifying and locating parking signs for automated parking assistance Detecting anomalies in medical images for further investigation Homepage https://www.coursera.org/professional-certificates/mathworks-computer-vision-engineer TakeFile https://takefile.link/h6mutqk97o5f/lfahk.Coursera..MathWorks.Computer.Vision.Engineer.Professional.Certificate.part4.rar.html https://takefile.link/947pay2a2019/lfahk.Coursera..MathWorks.Computer.Vision.Engineer.Professional.Certificate.part3.rar.html https://takefile.link/2ekhf6iv9h2y/lfahk.Coursera..MathWorks.Computer.Vision.Engineer.Professional.Certificate.part2.rar.html https://takefile.link/81seifb3ww84/lfahk.Coursera..MathWorks.Computer.Vision.Engineer.Professional.Certificate.part1.rar.html Rapidgator http://peeplink.in/45ffb9abda73 Fikper Free Download https://fikper.com/7tEApFBiS3/lfahk.Coursera..MathWorks.Computer.Vision.Engineer.Professional.Certificate.part3.rar.html https://fikper.com/ZCNS51fSeL/lfahk.Coursera..MathWorks.Computer.Vision.Engineer.Professional.Certificate.part2.rar.html https://fikper.com/pixVxQSjxo/lfahk.Coursera..MathWorks.Computer.Vision.Engineer.Professional.Certificate.part4.rar.html https://fikper.com/vl9yj9i76Z/lfahk.Coursera..MathWorks.Computer.Vision.Engineer.Professional.Certificate.part1.rar.html No Password - Links are Interchangeable