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Free Download Complete Roadmap To Becoming An Mlops Engineer Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 1.46 GB | Duration: 2h 59m Master the MLOps Maze: Unlock the Secrets with the Right Tools! What you'll learn MLOps Lifecycle Mastery: Understand the complete MLOps process from data preparation to model deployment and monitoring. Version Control Tools: Learn essential tools for code (Git), data (DVC), and model versioning (MLflow). Core Skills and Frameworks: Gain proficiency in key languages (Python, Bash) and ML frameworks (TensorFlow, PyTorch). Cloud and Deployment: Deploy ML models on AWS using Docker, Kubernetes, and CI/CD pipelines. Monitoring and Maintenance: Monitor, manage, and maintain models in production with tools like Prometheus and Grafana. Requirements No prerequisites required! This course is designed for beginners and intermediate ML engineers. All you need is a willingness to learn and explore the field of MLOps. Description Welcome to "Complete Roadmap to Becoming an MLOps Engineer" - your ultimate guide to navigating the ever-evolving world of MLOps!In this course, we break down the complex roadmap of MLOps into simple, digestible steps, ensuring that you're equipped with the right tools to streamline your machine learning workflows and thrive in the industry. Whether you're just starting out or have some experience, this course is designed to empower you with the skills to implement scalable machine learning models in production.Why MLOps?As AI and ML are increasingly becoming integral to business operations, managing and deploying models at scale can be challenging. This is where MLOps comes in-helping bridge the gap between data science and operations. MLOps ensures that machine learning models are efficiently developed, deployed, monitored, and maintained in a reliable, automated, and scalable manner.What Will You Learn?Fundamentals of MLOps: Understand the core principles that differentiate MLOps from traditional DevOps and why it's crucial for successful AI implementations.End-to-End Machine Learning Pipeline: Learn how to build and manage the entire lifecycle of machine learning models-from model development to deployment and monitoring.Version Control for Code, Data, and Models: Discover the best practices for tracking and versioning everything in your ML workflows, ensuring reproducibility and scalability.Continuous Integration/Continuous Deployment (CI/CD) for ML: Automate your machine learning workflows with CI/CD pipelines, and understand how to apply DevOps practices to machine learning.Model Monitoring & Retraining: Explore how to monitor models in production, track performance, and implement retraining mechanisms to ensure accuracy over time.Containerization with Docker: Master the use of Docker to create portable, reliable, and consistent environments for your ML models across platforms.Cloud & Deployment Strategies: Learn how to deploy models in real-world environments using cloud services (like AWS, GCP, or Azure) and container orchestration systems like Kubernetes.MLOps Best Practices and Tools: Get hands-on with essential MLOps tools like MLflow, Kubeflow, DVC, and more to manage the lifecycle of your models and ensure smooth collaboration between data scientists and engineers.Who Should Enroll?Aspiring MLOps Engineers: If you're looking to transition from a traditional ML or data science role to an MLOps-focused position, this course will give you the skills and insights you need.Data Scientists and ML Engineers: If you want to learn how to scale your models from development to production while mastering automation and lifecycle management.DevOps Engineers: If you're interested in expanding your skill set to support machine learning model deployments, monitoring, and infrastructure management.Students & Enthusiasts: Even if you're just getting started in the world of machine learning and AI, this course will provide a strong foundation for learning how to integrate operations with ML. Overview Section 1: Introduction to MLOps Lecture 1 Introduction Lecture 2 What is MLOps ? Lecture 3 Why is MLOps required ? Lecture 4 Resources Section 2: Understanding Stages of MLOps Lecture 5 Problem Definition, Data Collection and Processing Lecture 6 Metrics Definition, Data Analysis and Feature Engineering Lecture 7 Model Training, Deployment and Monitoring Section 3: Building base for MLOps Lecture 8 Basics Tools and Skillset for MLOps- Part 1 Lecture 9 Basics Tools and Skillset for MLOps- Part2 Section 4: Tools and skills for Problem Definition Lecture 10 Stage 1: Problem Definition Section 5: Tools and skills for Data Collection Lecture 11 Stage 2: Data Collection Lecture 12 Data Collection Part 2 Section 6: Tools and Skills for Data pre-processing and Storage Lecture 13 Stage 3: Data Pre-processing Section 7: Tools and Skills for Metrics Definition Lecture 14 Stage 4: Metrics Definition Section 8: Tools and Skills for Data Exploration and Analysis Lecture 15 Stage 5: Data Exploration and Analysis Section 9: Tools and Skills for Feature Extraction and Engineering Lecture 16 Stage 6: Feature Extraction and Engineering Section 10: Tools and Skills for Model Training Lecture 17 Stage 7: Model Training Section 11: Tools and Skills for Model Deployment and Integration Lecture 18 Stage 8: Model Deployment Section 12: Tools and Skills for Model Monitoring Lecture 19 Stage 9: Model Monitoring Lecture 20 Congratulation! What Next ? This course is perfect for aspiring ML engineers who want to specialize in MLOps, data scientists eager to expand their expertise into machine learning operations, and software engineers interested in building and deploying ML models. Whether you're a beginner or have some experience in the field, this course will guide you on your path to becoming an MLOps expert. It's also ideal for anyone passionate about mastering the end-to-end process of machine learning, from development to deployment and beyond. If you're ready to dive deep into the world of MLOps and take your career to the next level, this course is for you! 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Free Download C Programming Essentials - Roadmap to Becoming a C Programmer Published 9/2024 Created by Sarmad Jadoon MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 30 Lectures ( 7h 25m ) | Size: 2.41 GB Mastering C Programming, Coding in C, C Language Basics and Beyond, Essential Programming Concepts in C, C Coding Skills What you'll learn: Program Execution Steps C Program Structure Variables in C Input and Output 1D and 2D Arrays Decision Making Structures Functions Pointers Structures Requirements: No programming experience needed. You will learn everything you need to know Description: Welcome to my course, "C Programming Essentials: Roadmap to Becoming a C Programmer." This course is designed to make the art of C programming easier for students. So far, we have covered the following sections:Installing Code::Blocks IDE: In this section, we discuss what an Integrated Development Environment (IDE) is and explore the different IDEs available for C programming. We will then learn how to download and install Code::Blocks IDE.Beginning to Write C Program Code: In this section, we will write our first C program and discuss the execution flow of a C program.Using Comments to Clarify Code: This section covers style guidelines and the use of comments to clarify program code.Structure of a C Program: Here, we will discuss the structure of a C program and explore the printf() function.Input and Output: This section covers the printf(), scanf(), and getche() functions in detail.Loops: In this section, students will learn how loops are used to repeat a block of code, covering the for, while, and do-while loops.Decision-Making Structures: We will delve into different decision-making structures, including the if statement, nested if statements, the if-else statement, and the switch statement.Variables: This section covers constants and variables, including how to define and initialize them.Arrays: Here, we will explain what arrays are, how to define them, and how to enter data into and read data from arrays, as well as how to initialize arrays.Functions: This section covers functions, the program-like entities that help organize code, the structure of functions, and how to pass arguments to a function.By the end of this course, you'll have a comprehensive understanding of C programming, preparing you for further study or real-world applications. Join us and embark on your journey to becoming a proficient C programmer! Who this course is for: Students wanting to learn the basics of C language Homepage https://www.udemy.com/course/c-programming-essentials/ Rapidgator https://rg.to/file/38931bc0b4f94c9dc847667c4b1a5e01/nympa.C.Programming.Essentials.Roadmap.to.Becoming.a.C.Programmer.part1.rar.html https://rg.to/file/3d6bb947d999e8301131fe490f69e422/nympa.C.Programming.Essentials.Roadmap.to.Becoming.a.C.Programmer.part2.rar.html https://rg.to/file/4d6ac38adc3cac4f396a5218d0892868/nympa.C.Programming.Essentials.Roadmap.to.Becoming.a.C.Programmer.part3.rar.html Fikper Free Download https://fikper.com/AhXwXfetYt/nympa.C.Programming.Essentials.Roadmap.to.Becoming.a.C.Programmer.part3.rar.html https://fikper.com/LR0y2iAHlT/nympa.C.Programming.Essentials.Roadmap.to.Becoming.a.C.Programmer.part1.rar.html https://fikper.com/OohBuI2ww6/nympa.C.Programming.Essentials.Roadmap.to.Becoming.a.C.Programmer.part2.rar.html No Password - Links are Interchangeable

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Free Download Harbir Singh, Michael Useem, Lyle Blaker (Narrator), "The Strategic Leader's Roadmap, Revised and Updated Edition: 6 Steps for Integrating Leadership and Strategy" English | ASIN: B0D8839KX2 | 2024 | MP3@64 kbps | ~02:48:00 | 77 MB In The Strategic Leader's Roadmap, Updated and Revised Edition: 6 Steps for Integrating Leadership and Strategy, Wharton management professors Harbir Singh and Michael Useem offer a six-point checklist for today's leaders to follow. They explain how leading strategically will help managers strengthen their capacity to develop strategy and to lead its execution. Drawing on one-on-one interviews with CEOs, in-depth research, and their experience teaching today's executives and tomorrow's leaders, Singh and Useem take listeners into the offices-and mindsets-of some of today's foremost strategic leaders. In this fully updated and revised edition, Singh and Useem explore: How Indra Nooyi rose to become CEO of PepsiCo and led its successful strategic redirection; How Jack Ma consistently pivoted and outflanked competition to position Alibaba to become a global behemoth; How John Chambers, executive chairman of Cisco Systems, changed his and other company leaders' leadership to stay ahead of disruption; How Lawrence Culp Jr., the CEO of General Electric, has increased efficiency by up to 900% by undertaking a thorough examination of process and strategy. The Strategic Leader's Roadmap will enable leaders at all levels to master the abilities necessary to keep their companies ahead of the competition. Rapidgator https://rg.to/file/13c6d61cec5f9d9f90f7451a1cce2965/jsrpd.rar.html Fikper Free Download https://fikper.com/MfjnSiuCP8/jsrpd.rar.html Links are Interchangeable - No Password - Single Extraction

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Pam Hendrickson - Marketing Roadmap WEBRip | English | MP4 + MP3 + PDF Guides | 640 x 360 | AVC ~542 kbps | 29.970 fps AAC | 112 Kbps | 48.0 KHz | 2 channels | ~26 hours | 8.35 GB Genre: eLearning Video / Business, Sales, Marketing Are you overwhelmed by all the "got-to's" and guilt around what you're not doing in your business? Do you know you need to market yourself to attract more customers and sell more stuff-but have no idea where to begin? Want results, yet strapped for time? Marketing Roadmap is your solution to cure overwhelm and open up the door for more freedom and fun in business. It's a four-step system to help you organize your marketing around your customers. By delivering the right message to the right people at the right time, you'll discover how to get better results from your content, product creation and marketing-with less effort. You'll have a simple, organized marketing plan (that we'll help you create, step by step)! 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