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Старый 15.11.2024, 19:11   #436
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По умолчанию Anthropic Prompt Engineering for Developers


Free Download Anthropic Prompt Engineering for Developers
Duration: 18m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 55.6 MB
Genre: eLearning | Language: English
This course covers the use of Claude 3 for software development. It shows how to create effective prompts for
making test cases, generating sample data, debugging and pair programming.

Understanding prompt engineering for large language models (LLM) is critical for success for software developers. It allows for being more productive and efficient. In this course, Anthropic: Prompt Engineering for Developers, you will develop the skills necessary to use Claude 3 for effective coding. This LLM has powerful capabilities for software code understanding and generation.
Homepage
Код:
https://pluralsight.com/courses/anthropic-prompt-engineering-developers






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Старый 15.11.2024, 19:13   #437
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По умолчанию Anti-Burnout Blueprint Sustainable Success in 24-7 World


Free Download Anti-Burnout Blueprint Sustainable Success in 24-7 World
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.49 GB | Duration: 1h 57m
Break Free from the Grind: Master Resilience, Energy Management, and Work-Life Balance for Long-Term Success

What you'll learn
Gain a proactive approach to identifying early signs of burnout and implement practical strategies to protect your energy and mental health over overwhelm
Discover how to balance productivity and well-being, achieving peak performance without sacrificing health or personal happiness.
Learn to align tasks with your natural energy rhythms, optimizing focus and creativity while reducing fatigue and mental burnout.
Master the art of setting healthy boundaries in a demanding work culture to protect your time and mental space without compromising professional growth.
Develop a Zen-inspired mindset to build resilience, manage stress effectively, and stay calm under pressure, ensuring you can handle any and all challenge.
Establish a healthy integration between professional and personal life, preventing burnout while maintaining high levels of satisfaction in both areas.
Practice Zen breathing techniques, mindfulness exercises, and quick resets that help you manage daily stress in just minutes, anywhere and anytime.
Learn methods to enhance mental clarity and focus, allowing you to stay engaged, avoid distractions, and be more present in everything you do.
Build recovery and rest into your daily schedule to recharge effectively, improve sleep quality, and boost overall well-being.
Shift from a "hustle" mentality to a state of effortless flow, where work feels more enjoyable and natural, leading to higher productivity and job satisfaction.
Improve decision-making by reducing cognitive overload and maintaining a balanced state of mind, allowing for better judgment and strategic thinking.
Use actionable strategies to tackle anxiety and overwhelm head-on, empowering you to maintain emotional stability even during peak workloads.
Preserve your creative energy by managing burnout triggers, so you can approach projects with fresh ideas and innovative solutions.
Build habits and routines that ensure not just immediate relief from burnout but also long-term career sustainability, preventing career fatigue and disengageme
Learn how to lead your team with intention and presence, creating a healthier, more productive work environment for yourself and others .
Implement practices that reconnect you to the joy of work, enhancing your overall job satisfaction and passion for what you do.
Develop skills to communicate your needs, manage expectations, and cultivate a more positive, collaborative atmosphere in all your relationships.
Leverage sustainable strategies to outperform peers and stay ahead in your career, without falling into the burnout trap.
Set an example in your organization for achieving professional success without burnout, inspiring others to adopt a more balanced, fulfilling approach to work.
Move beyond a purely success-driven mentality and integrate purpose and fulfillment into your daily routine, making every effort meaningful and rewarding.
Gain lifetime access to a set of effective Zen tools and resources you can use anytime you need to re-center, refocus, and recharge.
Requirements
No Prior Knowledge Required
An Open Mind and Willingness to Change
Basic Understanding of Work-Related Challenges
A Commitment to Personal Growth
A Desire for Work-Life Balance
Access to a Quiet Space for Practice Sessions
Description
Are you tired of the relentless grind in the professional development, career growth, skills training and the constant pressure to stay ahead in a 24/7 world? Do you feel like burnout is just around the corner, despite your best efforts to stay productive and engaged? If so, it's time to change the way you approach success.Welcome to The Anti-Burnout Blueprint, a comprehensive course designed to help you achieve long-term success without sacrificing your well-being. In this course, you'll learn how to thrive in high-pressure environments, leverage energy management strategies, and create a sustainable pathway to professional success-one that doesn't come at the cost of your mental health.This course is packed with powerful insights and actionable tools, from mastering the art of boundaries and setting effective priorities to adopting a Zen-inspired mindset for resilience and focus. You'll discover how to shift from a "grind" mentality to a "flow" state, allowing you to work smarter, not harder, while preserving your energy for what matters most. This is learning at your own pace of the Udemy best-selling course. Increase your Leadership SkillsWhat You'll Learn:The Zen Mindset for Sustainable Success: Cultivate mental clarity, resilience, and focus to excel without feeling overwhelmed.Energy Management: Discover how to optimize your work patterns and align tasks with your peak energy cycles for maximum efficiency.Creating Boundaries: Learn how to say "No" gracefully and prioritize tasks to avoid burnout and maintain a balanced life.Zen Breathing Techniques: Practice quick and effective techniques to reset your stress levels in just 5 minutes.Prioritizing Rest: Build recovery into your routine to recharge, boost creativity, and enhance your overall performance.Zen Leadership Principles: Empower your team and lead with intention, without falling into the trap of overextending yourself.Whether you're a busy professional, a team leader, or an entrepreneur, The Anti-Burnout Blueprint will equip you with the strategies to redefine success and create a sustainable career that fuels both your productivity and your inner peace. Stop burnout in its tracks and learn how to unlock your true potential with a blueprint designed for lasting success-on your terms. Reduce Burnout, it is guaranteed to bring Zen mindset for professionals with Self-discipline hacks. Delve deep in its Energy management techniques bringing you Emotional resilienceJoin now and transform the way you work, live, and lead!
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Introduction to Burnout: The Silent Saboteur
Lecture 2 Introduction to Burnout: The Silent Saboteur
Section 3: The Zen Mindset for Sustainable Success.
Lecture 3 The Zen Mindset for Sustainable Success.
Lecture 4 Energy Management: Focus on Flow, Not Grind
Section 4: Creating Boundaries: The Zen Approach to Saying 'No'
Lecture 5 Creating Boundaries: The Zen Approach to Saying 'No'
Section 5: Zen Breathing Techniques: The 5-Minute Reset
Lecture 6 Zen Breathing Techniques: The 5-Minute Reset
Section 6: Prioritizing Rest: Building Recovery into Your Routine
Lecture 7 Prioritizing Rest: Building Recovery into Your Routine
Section 7: Zen Leadership: Empowering Your Team Without Overload
Lecture 8 Zen Leadership: Empowering Your Team Without Overload
Section 8: Case Study - Jenna's Path to Balance while Balancing Parenting and Performance
Lecture 9 Case Study - Jenna's Path to Balance while Balancing Parenting and Performance
Section 9: Case Study of The Burned-Out Remote Worker - Sam's Journey to Balance
Lecture 10 Case Study of The Burned-Out Remote Worker - Sam's Journey to Balance
Section 10: The Underappreciated Team Leader - Priya's Journey to Recognition
Lecture 11 The Underappreciated Team Leader - Priya's Journey to Recognition
Section 11: Case Study - The Exhausted Sales Executive - Mark's Path to Boundaries
Lecture 12 Case Study - The Exhausted Sales Executive - Mark's Path to Boundaries
Section 12: Case Study of The Overloaded Project Manager.. Elena's Journey
Lecture 13 Case Study of The Overloaded Project Manager.. Elena's Journey
Section 13: Gratitude Ritual- The 5-Minute Gratitude Reset for Stress Relief
Lecture 14 Gratitude Ritual - The 5-Minute Gratitude Reset for Stress Relief
Section 14: Mindfulness & Meditation Ritual
Lecture 15 Micro-Meditations for Office Burnout: The Real-Time Rituals for Busy Professiona
Section 15: Sleep & Recovery Ritual
Lecture 16 Sleep & Recovery: Bedtime Bliss Ritual for Burnout Recovery
Section 16: Energy & Focus Ritual
Lecture 17 Energy & Focus Ritual - Mindful Movement Boost for Busy Professionals
Section 17: Emotional Wellness Ritual
Lecture 18 Emotional Wellness Ritual:- Emotional Armor- Zen Techniques for Handling Overwh
Busy Professionals,Entrepreneurs & Business Owners,Team Leaders & Managers,Freelancers & Remote Workers,High-Performers Feeling Stuck,Burnout Survivors,Personal Development Enthusiasts,Wellness Advocates & Coaches,Zen and Mindfulness Seekers,Anyone Feeling Overworked, Overwhelmed, or Unfulfilled
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Homepage
Код:
https://www.udemy.com/course/anti-burnout-blueprint-sustainable-success-in-247-world/



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Старый 15.11.2024, 19:15   #438
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По умолчанию Anyone Can Sing Vocal Mastery Course


Free Download Anyone Can Sing Vocal Mastery Course
Published 10/2024
Created by Avishaan Naidoo
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 13 Lectures ( 37m ) | Size: 817 MB

Let us help you unlock your true potential and make your voice shine. Join us and discover your voice Today
What you'll learn
Master Basic Singing Techniques: develop a solid understanding of fundamental vocal techniques, including breath control, pitch accuracy and Vocal Range
Enhance Intermediate Vocal Skills: refine their intermediate singing techniques, such as vibrato, dynamics, vocal agility, and smooth transition of registers
Develop Advanced Singing Techniques: Learners will master advanced vocal techniques, including belting, falsetto, mixed voice, and stylistic interpretation
Cultivate Performance and Artistic Expression: This will empower them to perform confidently and authentically
Achieve the best singing voice you could possibly have
Requirements
This course has been created for Anyone, especially those you feel or have been told they can't sing and then those who want to sing better and master their voice
Basic or Advanced, from private singing to stage performance
Description
Welcome to the "Anyone Can Sing" Vocal Training Course by Vocal Start Studios! This course is crafted to help beginners unlock their true vocal potential through a structured series of lessons that focus on essential singing techniques.Course StructureThis course is divided into 8 core lessons, each concentrating on a specific aspect of vocal training:Introduction to Vocal TrainingUnderstanding and Developing Resonance (Lessons 1 & 2)Exploring the Head Voice (Lessons 6 & 7)Developing the Mixed Voice (Lesson 7)Strengthening the Chest Voice (Lessons 4 & 5)Breath Control and Support (Lesson 4)Diction and Articulation (Lesson 3)Putting It All TogetherEach lesson includes:Objective: What you'll achieve by the end of the lesson.Content: The main concepts and techniques to learn.Exercises: Practical exercises to help develop your skills.How to Approach Each LessonRead the Objective to understand the goal.Study the Content thoroughly, taking notes as needed.Practice the Exercises consistently until you feel improvement.Record Yourself to track your progress and identify areas for growth.Review Regularly to reinforce your skills and knowledge.Final NoteSinging is a journey, and this course is just the beginning. Embrace the process, enjoy the discoveries, and remember that with continuous practice, anyone can sing!
Who this course is for
This course is anyone who wants to sing, beginner, intermediate and advanced Singers/Performers
Homepage
Код:
https://www.udemy.com/course/vocal-start-studios-anyone-can-sing-vocal-course/
Screenshot








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Старый 15.11.2024, 19:18   #439
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По умолчанию Apache Tomcat Server - Beginners To Advanced (2024)


Free Download Apache Tomcat Server - Beginners To Advanced (2024)
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.57 GB | Duration: 8h 16m
100% Hand's On + Real Time - Basic To Advance - Admin's Guide - SSL - MOD_JK

What you'll learnLearn how to install and configure Apache Tomcat for various environments.
Understand how to deploy Java-based web applications using WAR files and context configurations.
Explore tools for managing and monitoring Tomcat instances, including the web-based Admin Console.
Learn how to optimize Tomcat for high performance, including thread pool and memory tuning.
Implement security configurations like SSL/TLS, user roles, and secure deployments.
Configure Tomcat logging for troubleshooting and monitor server health using JMX or external tools
Understand how to set up clustering and session replication for fault-tolerant applications.
Learn techniques to diagnose and resolve common server issues, such as deployment errors and performance bottlenecks.
RequirementsNone
DescriptionLooking for Full Course On Tomcat From Basic To Expert Level ? Enroll for the below course.Master Tomcat Administration - The Complete GuideApache Tomcat Administration and Management - Course DescriptionThis comprehensive course is designed to teach participants how to install, configure, manage, and troubleshoot Apache Tomcat, a widely used open-source Java servlet container. The course covers everything from deployment of Java applications, server management, and performance optimization to security and troubleshooting, ensuring participants are equipped to handle Tomcat servers in a production environment.Course Learning Objectives:By the end of the course, participants will be able to:Install and configure Apache Tomcat on various platforms.Deploy Java web applications using Tomcat.Manage and monitor Tomcat instances effectively.Secure Tomcat using best practices, including SSL/TLS and role-based access.Configure Tomcat for high availability with clustering and session replication.Course Content:Introduction to Apache TomcatOverview of Tomcat's role in the Java EE ecosystem.Key features and architecture of Apache Tomcat.Understanding servlet containers and web application servers.Installing and Configuring TomcatInstalling Apache Tomcat on Linux, Windows, and macOS.Configuring key settings like server ports, connectors, and virtual hosts.Managing Tomcat services (start, stop, restart).Understanding the Tomcat directory structure and key configuration files.Deploying Java Web ApplicationsDeploying applications via WAR files and hot deployment.Using Tomcat's Manager application for deployment management.Security Configurations and Best PracticesImplementing SSL/TLS for secure communications.Configuring user authentication and role-based access control.Logging and MonitoringConfiguring Tomcat logging (log4j, java.util.logging).Analyzing access and error logs for troubleshooting.Clustering and High AvailabilitySetting up Tomcat clustering for load balancing and session replication.Configuring sticky sessions and ensuring session failover.Integrating Tomcat with Other TechnologiesConfiguring Tomcat with databases (MySQL, PostgreSQL) for connection pooling.Integrating Tomcat with Apache HTTP Server for load balancing.
OverviewSection 1: Introduction
Lecture 1 Course Complete Document
Lecture 2 Deployment EAR Location
Lecture 3 Apache HTTP Server Download
Lecture 4 JDBC Download
Section 2: Overview of Hardware, Network, Linux, web & App Servers
Lecture 5 Theory - Understanding CPU Linux Commands
Lecture 6 Theory - Understanding Memory HDD Linux Commands
Lecture 7 Theory - Network Architecture
Lecture 8 Theory - Difference btw Web Server VS App Server
Lecture 9 Theory - What Is A Port Number (With Example)
Lecture 10 Theory - Basic Commands In Linux
Section 3: Free VMWARE Based Linux Configuration
Lecture 11 VMware Linux Server Creation
Lecture 12 VMware Linux Server Setup
Section 4: Download & Install Of Java & Tomcat - Windows & Linux
Lecture 13 Hands On - Downloading Tomcat & Java
Lecture 14 Hands On - Installation of Java & Tomcat on Linux
Lecture 15 Hands On - Installation and working with Tomcat in windows
Section 5: Tomcat Configuration Files
Lecture 16 Hands On - Understanding Tomcat Folder Structure
Lecture 17 Hands On - Understanding server.xml
Lecture 18 Hands On - JVM Startup & Understanding Catalina.out
Section 6: Deployment In Tomcat
Lecture 19 Theory - Introduction To Deployment
Lecture 20 Hands On - Auto Deployment & Checking Logs
Section 7: Apache HTTPD 2.4 - Virtual Host
Lecture 21 Theory - Introduction Of HTTP Server 2.4
Lecture 22 Hands On - Installation of HTTP Server 2.4 in binary method
Lecture 23 Hands On - Folder Structure Of HTTP Server 2.4
Lecture 24 Hands On - Virtual Host Introduction For HTTP Server 2.4
Lecture 25 Hands On - Virtual Host Configuration For HTTP Server 2.4
Section 8: SSL On Tomcat
Lecture 26 Theory A Detailed Understanding On SSL
Lecture 27 Hands On - Understanding One Way, Two Way, Keys, Keystore & TrustStore
Lecture 28 Hands On - Real Time SSL Workings
Lecture 29 Hands On - SSL - Tomcat Configuration
Section 9: High-Availability - Clustering
Lecture 30 Theory - Introduction To MOD_JK
Lecture 31 Hands On - Downloading MOD_JK
Lecture 32 Hands On - HTTP Installation & Testing
Lecture 33 Hands On - Download, Install Tomcat
Lecture 34 Hands On - Build & Setup Of MOD_JK Module On Apache HTTP Server
Section 10: High-Availability - LoadBalancing
Lecture 35 Hands On - JK Module Tomcat Setup & Working with Diff. LB Algorithms
Section 11: High-Availability - Session Management - MOD_JK
Lecture 36 Hands On - Enabling Stick Session For MOD_JK
Section 12: Logging Configuration In Tomcat
Lecture 37 Theory - Logs Overall Introduction
Lecture 38 Hands On - Understanding Access Log In Tomcat
Lecture 39 Hands On - Understanding GC Logs
Lecture 40 Hands On - Creating Application Log In Tomcat For Virtual Host
Lecture 41 Hands On - Catalina.out and Catalina.log
Section 13: JDBC On Tomcat
Lecture 42 Theory - JDBC - Introduction To JDBC - Part 1
Lecture 43 Theory - JDBC - Introduction To JDBC - Part 2
Lecture 44 Hands On - Mysql Setup
Lecture 45 Hands On - Tomcat JDCP Configuration - Part 1
Lecture 46 Hands On - Tomcat JDCP Configuration - Part 2
Section 14: Troubleshooting Scenarios
Lecture 47 Disk Space Alerts - Part 1
Lecture 48 Disk Space Alerts - Part 2
Lecture 49 Memory Alerts - Part 1
Lecture 50 Memory Alert - Part 2
Lecture 51 CPU Starvation Alert
Lecture 52 Load Average Explained with Real Time Example
Everyone

Homepage
Код:
https://www.udemy.com/course/master-apache-tomcat-administration-the-complete-guide/




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Старый 15.11.2024, 19:20   #440
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По умолчанию Apache Web Server For Beginners


Free Download Apache Web Server For Beginners
Published 10/2024
Created by Mo Khalil
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 34 Lectures ( 2h 56m ) | Size: 756 MB

Master Apache HTTP Server: Install, Configure Virtual Hosts, Enhance Security, and Optimize Performance
What you'll learn
Install and configure Apache Web Server on CentOS with automatic startup and proper firewall settings
Understand Apache's directory structure, manage configuration files, and create your first web page
Set up name-based and port-based virtual hosts to host multiple websites on a single Apache server
Enhance server security by implementing TLS/SSL certificates, authentication, access control, and DoS attack mitigation
Requirements
Basic Computer Skills: Comfortable using a computer and navigating the operating system
Access to a Computer with Internet Connection: You'll need to download and install software during the course
No Prior Experience Required: Designed for beginners, no previous knowledge of Apache or web servers is necessary
Description
Discover the power and versatility of the Apache Web Server in our comprehensive course, "Apache Web Server For Beginners." This course is designed to take you from the fundamentals to advanced concepts of managing the Apache HTTP Server, also known as Apache HTTPD. Whether you're a newcomer to web servers or looking to solidify your knowledge, this course offers a structured approach to mastering the Apache Server.We begin with the essentials, introducing you to the world of web servers and the critical role the Apache HTTP server plays in hosting websites. You'll learn how to install Apache on CentOS 7.4 and configure it to start automatically upon system boot. We'll guide you through setting up your firewall to ensure your Apache Server is secure and accessible.Understanding the directory structure is crucial for effective server management. We'll delve into the Apache directory layout and the primary configuration files. You'll create your first web page and understand where and how Apache HTTPD stores your website files.The course then moves on to virtual hosts, a powerful feature that allows you to host multiple websites on a single Apache Web Server. You'll set up both name-based and port-based virtual hosts, giving you the flexibility to manage various domains and subdomains.In the section on aliases and redirects, you'll learn how to configure URL aliases and set up redirects, enhancing the navigation and user experience of your websites. Logging is another vital aspect we'll cover extensively. You'll explore error logs, access logs, and custom logs, and learn how to implement log rotation to maintain optimal performance of your Apache HTTP Server.Security is a paramount concern for any web administrator. We'll teach you the basics of securing your Apache Server, including setting up free TLS/SSL certificates, configuring basic and digest authentication, and implementing access control. You'll also learn how to use .htaccess files from both the administrator and user perspectives, install and configure antivirus software, and mitigate DoS attacks using mod_evasive.Finally, we'll focus on performance and troubleshooting. You'll understand how to optimize Apache HTTPD using Multi-Processing Modules (MPMs) and adjust thehttpd.conf file for better efficiency. We'll show you how to analyze access logs to troubleshoot issues and introduce you to Apachetop, a tool for real-time monitoring of your Web Server traffic.By the end of this course, you'll have a solid foundation in using the Apache HTTP Server. You'll be equipped with the skills to install, configure, secure, and optimize an Apache Web Server, preparing you to handle real-world web hosting scenarios confidently. Join us and take the first step toward becoming an Apache expert!
Who this course is for
Aspiring Web Administrators: Individuals looking to start a career in web server management and administration
IT Professionals and System Administrators: Current IT staff seeking to expand their skills with Apache Web Server setup, configuration, and maintenance
Web Developers: Developers who want to understand server-side operations to better deploy and manage their websites
Students and Educators: Computer science or IT students needing practical knowledge of web servers for academic projects and coursework
Freelancers and Entrepreneurs: Freelancers managing their own web hosting environments
Small Business Owners: Owners who manage their own websites and require a reliable and secure web server solution without relying on third-party hosting services
Tech Enthusiasts and Hobbyists: Individuals passionate about technology who want to learn more about web servers and enhance their technical skills
DevOps Practitioners: Professionals involved in DevOps looking to integrate Apache Web Server into their deployment pipelines and optimize server performance
Homepage
Код:
https://www.udemy.com/course/apache-web-server-for-beginners/









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Старый 15.11.2024, 19:22   #441
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По умолчанию Apigee Api Management & Application Integration Fundamentals


Free Download Apigee Api Management & Application Integration Fundamentals
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.06 GB | Duration: 1h 19m
Master API Management and Cloud Integration with Apigee: Explore API Lifecycle, Security, and Integration Strategies.

What you'll learn
Understand the fundamentals of API management and its significance in modern applications.
Gain hands-on experience in setting up and managing APIs with Apigee.
Explore Google Cloud's Application Integration capabilities and how to leverage them.
Learn to design, deploy, and monitor integrations using cloud-native tools and best practices.
Requirements
Basic Understanding of APIs: Familiarity with API concepts and terminology will help in grasping the course material.
Familiarity with Cloud Concepts: Basic knowledge of cloud computing and services will enhance the learning experience.
Experience with Programming: Some experience in a programming language (e.g., Java, JavaScript, or Python) is beneficial for practical exercises.
Access to a Computer: Learners should have access to a computer with internet connectivity for hands-on labs and demonstrations.
Willingness to Learn: An eagerness to explore new technologies and apply learned concepts in real-world scenarios.
Description
Welcome to the Apigee API Management & GCP Application Integration Fundamentals course! This comprehensive program is designed to equip you with essential skills and knowledge in API management and cloud application integration.In today's digital landscape, APIs serve as critical connectors between applications, enabling seamless data exchange and integration. Throughout this course, you will gain a deep understanding of API management principles using Apigee, including the full lifecycle of API development, deployment, and monitoring. We will explore common API use cases and the importance of security and governance in API management.You will also dive into Google Cloud Application Integration, discovering its key features and capabilities. Through hands-on demonstrations, you'll learn to set up an integration environment, design workflows, and manage integrations effectively. Additionally, you will explore advanced topics such as creating custom connectors and leveraging AI-powered integrations to enhance application functionality.By the end of this course, you will have practical experience in building and managing APIs, as well as a solid foundation in cloud application integration. Whether you are an aspiring developer, a business analyst, or a technical manager, this course will empower you to drive digital transformation initiatives in your organization. Join us as we unlock the potential of APIs and cloud technologies together!
Overview
Section 1: Introduction
Lecture 1 Welcome to Apigee API Management & GCP Application Integration Fundamentals
Lecture 2 Meet Your Instructor
Section 2: Apigee API Management Fundamentals
Lecture 3 Chapter Overview
Lecture 4 Understanding APIs
Lecture 5 Common API Management Use Cases
Lecture 6 Full Lifecycle API Management with Apigee
Lecture 7 Understanding the Digital Value Chain
Lecture 8 Seamless Modernization: Unlocking Data
Lecture 9 Designing APIs with the Outside-In Approach
Lecture 10 DEMO: Apigee Environment Setup: Free 60-Day Sandbox Evaluation
Lecture 11 Exploring the Apigee API Proxy
Lecture 12 DEMO: Building an API proxy with Apigee
Lecture 13 Security and Governance in API Management
Lecture 14 Harnessing Application Integration with Apigee
Lecture 15 API Productization: Taking APIs to Market
Lecture 16 Empowering Developers with The Developer Portal
Lecture 17 Designing Your API Monetization Strategy
Lecture 18 Leveraging Out-of-the-Box Analytics in Apigee
Lecture 19 Understanding Apigee Deployment Options: Public Cloud, Hybrid, and Private Cloud
Lecture 20 Advanced API Security
Lecture 21 Apigee: Recognized by Leading Industry Analysts in API Management
Lecture 22 Ensuring API Availability with Apigee
Lecture 23 Anatomy of an API proxy
Section 3: GCP Application Integration Fundamentals
Lecture 24 Chapter Overview: Introduction to Google Cloud Application Integration
Lecture 25 Introduction to Application Integration on Google Cloud
Lecture 26 The Evolution of Application Integration
Lecture 27 Key Features and Capabilities of Application Integration
Lecture 28 The API-First Approach and Use Cases
Lecture 29 What Application Integration is Not
Lecture 30 DEMO: Application Integration Environment Setup - Free Tier
Lecture 31 Navigating the Integration Designer
Lecture 32 Working with Variables and Data Mapping
Lecture 33 Setting Up Triggers and Tasks
Lecture 34 Edge Conditions and Flow Control
Lecture 35 Managing Integration Versions
Lecture 36 Testing and Deploying Integrations
Lecture 37 Alerting and Monitoring
Lecture 38 Consuming Connections via Integration Workflow
Lecture 39 Overview of Integration Connectors
Lecture 40 DEMO: Pre-Built Connector Creation
Lecture 41 Custom Connectors in Google Application Integration
Lecture 42 DEMO: Custom Connector Creation
Lecture 43 Viewing Logs in Cloud Logging
Lecture 44 AI-Powered Integrations in Application Integration
Lecture 45 Masking Sensitive Data in Logs
Lecture 46 Conclusion and Next Steps
Section 4: Wrap-Up
Lecture 47 Course Wrap-Up: Apigee API Management & GCP Application Integration Fundamentals
Aspiring API Developers: Individuals looking to build a solid foundation in API management and gain hands-on experience with Apigee.,Cloud Practitioners: Professionals who want to deepen their understanding of Google Cloud services, specifically in application integration.,Business Analysts: Those involved in digital transformation initiatives seeking to understand how API management and integration can drive business value.,Technical Managers: Leaders looking to enhance their team's capabilities in API management and application integration within cloud environments.,Students and Beginners: Anyone interested in entering the fields of API management and cloud integration, regardless of prior experience, will benefit from the practical insights and hands-on demos provided.
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Код:
https://www.udemy.com/course/apigee-api-management-application-integration-fundamentals/




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Старый 15.11.2024, 19:24   #442
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По умолчанию Application Security Posture Management Security from the Supply Chain to Cloud Ru...


Free Download Application Security Posture Management Security from the Supply Chain to Cloud Ru...
Released 10/2024
With James Berthoty
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 54m 35s | Size: 258 MB

Master the details of application security posture management, everything you need to secure an application from code to cloud.
Course details
This course covers the core concepts and skills required to secure a modern, cloud-native application. Join instructor and security engineer James Berthoty as he provides a comprehensive overview of the emerging field of application security posture management (ASPM) and how it integrates a variety of different security tools used to secure applications from supply chain and other threats. Explore the fundamentals of code security, container security, runtime security, and remediating findings. Along the way, test out your new skills in the exercise challenges at the end of each section. Upon completing this course, you'll be prepared to successfully argue for the value of different security tools in your development workflows, as well as implement a full program to operationalize those tools.
Homepage
Код:
https://www.linkedin.com/learning/application-security-posture-management-security-from-the-supply-chain-to-cloud-runtime
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Старый 15.11.2024, 19:26   #443
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По умолчанию Applications of Generative AI in Learning and Development


Free Download Applications of Generative AI in Learning and Development
Released 10/2024
With Dr. Terri Horton
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 34m 44s | Size: 69 MB

Learn to apply generative AI techniques to uncover and analyze learning needs, create strategically aligned learning objectives, and design engaging learning programs.
Course details
In this course, Dr. Terri Horton-a work futurist, consultant, speaker, and author-highlights several ways L&D professionals can harness the power of generative AI to elevate their learning and development programs and initiatives. Learn how to develop and curate high-quality content, construct interactive workshops and training modules, and craft relevant simulations, role plays, and coaching scripts. Gain the skills you need to design assessment tools to evaluate learning effectiveness, ensuring your programs meet organizational goals and learner needs. Plus, access a curated list of generative AI tools tailored for use in learning and development initiatives. By the end of this course, you will be equipped to integrate generative AI tools into your training initiatives to maximize impact and engagement while leading the future of learning in your organization.
Homepage
Код:
https://www.linkedin.com/learning/applications-of-generative-ai-in-learning-and-development
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Старый 15.11.2024, 19:28   #444
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По умолчанию Applied Bayes' Theorem And Naive Bayes Classifiers


Free Download Applied Bayes' Theorem And Naive Bayes Classifiers
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.49 GB | Duration: 14h 7m
Learn the fundamentals to better develop or acquire such Machine Learning Methods

What you'll learn
Detailed and fundamental probability principles, rules and procedures
The Confused Matrix and its KPI's to be used as an evaluation of Naïve Bayes Classifier
The Variant of Confused Matrices when datasets have multiple labels in their class or multiple classes
The theory and principles behind the Bayes' Theorem
How to develop the inference procedures in Bayes' Theorem using vertical and horizontal tables, contingency tables and decision trees
The theoretical basis of Naïve Bayes Classifier
Categorical Naïve Bayes Classifiers
Laplace Smoothing Correction and M-Estimates
Continuous Naïve Bayes Classifiers based on Gaussian distributions
Continuous Naïve Bayes Classifiers based on non-Gaussian distributions (in this case, the Beta Distribution)
The Beta Distribution and how to derive its parameters from our data
The four discrete distributions in use in the Bayes' Theorem: Categorical, Bernoulli, Binomial and Multinomial
Bernoulli Naïve Bayes Classifiers
Multinomial Naïve Bayes Classifiers
Weighted Naïve Bayes Classifiers
Complemented Naïve Bayes Classifiers
Entropy and Information Gain for better classification
The Kononenko Information Gain and its application in Naïve Bayes Classifiers
The Log Odds Ratio and its application in Naïve Bayes Classifiers
The Kernel Density Estimates and its application in Naïve Bayes Classifier
The optimization of the bandwidth, h, in the Kernel Density Estimates
Requirements
A working knowledge of Excel
A beginner's knowledge of VBA (in Excel)
No Python or R are needed
All statistical methods will be presented in the course
Description
A) The Purpose of the CourseMost courses on this subject are aimed at Machine Learning and Data Science experts. Often, they are presented for use with specialized development platforms or even as part of advanced off-the-shelf applications. On the other hand, the Bayes' Theorem and its applications are based on statistical principles and concept not often clearly explained.The purpose of this course is educational. The techniques, algorithms and procedures presented in this course aim more at making machine learning methods based on the Theorem easier to understand as opposed to getting used.The Bayes' Theorem is is one of those theorems where we can apply the proverb: "Still water is deep". The Theorem was developed in an article by Thomas Bayes in 1763. In due course, it found itself being used in a wide variety of statistical applications. The Theorem itself was an application of inference. From there on, and specifically with the advent of Machine Learning algorithms, the Theorem was extended to be the core of a wide variety of applications such as Classification, Networks and Optimization.The Theorem and its applications are best developed using specialized programming environments. This is due to the mere fact that the applications of the Theorem require the handling of large data and performance intensive environments.B) So, why do we Present a Course based on Excel?Analysts require the use and the development of such applications have the following environments available to them:· Off the shelf applications, ready-made and commercially available.· Open source or free integrated development environments (IDE) that host a large number of scientific and statistical libraries to use in such applicationsIn both cases, the Analyst is faced with an insurmountable learning curve, often not climbable at all. Whether the objective is to use off-the-shelf products or to develop their own applications, learning the methods in a machine learning environment is not possible via these two environments.The course will then use Excel specifically for educational purposes and not as a machine learning tool. Excel is known by everyone, and if not, it is easy to learn. Excel is highly flexible in terms of exposing how things work. The course will then exploit such facilities to expose to the Analyst in a common sense and step-by-step manner the basis and procedures of these algorithms.B) What Does the Course Cover?The course is made up of 5 major sections preceded by a short introduction.Section 1: Introducing the CourseThis section consists of one lecture that presents the objectives of the course, its structure and resources as well as what to expect and what not to expect.Section 2: An In-Depth Presentation of Probability Rules and PracticesThe section starts with lectures that run through a detailed exposure to the fundamentals and practices of probability rules. Bayes' Theorem is highly linked with such rules and it will not be possible for analysts embarking on its use (and the understanding of its extensions) to learn and use these algorithms without a deep understanding of probability.The section uses common sense to clarify often obscure concepts in probability. Many examples are presented and explained in detail.Section 3: The Use of the Confusion Matrix for Evaluating Bayesian ResultsSome might wonder why we are introducing the Confusion Matrix and its useful KPI's in this course. The answer is that in both Sections 3 and 4, we will need to evaluate our results in terms of precision, accuracy, error rates, etc. The Confusion Matrix is a contingency table consisting of four results extracted from comparing the algorithm's outcome with the historically known outcome of the classes in a Test Table. Four measurements consist of True Positive, True Negative, False Positive and False Negative. These four counts can be used in a variety of ways to measure such KPI's as accuracy, precision, error rates and such. (The confusion matrix is also used in a variety of other classification machine learning methods: logistic regression, decision trees, etc.)Section 4: The Fundamental Application of Bayes' Theoremthis section presents the Theorem of Bayes first running through a common-sense example. This is followed by the derivation of the Theorem and a clear explanation of the terms used in the Bayes' Theorem formula. A set of 8 major workouts present the use of the Theorem in different formats (vertical and horizontal tables, decision trees and graphic solutions). The last 3 workouts output the results of the workouts to a Confusion Matrix and shows how that can be used to evaluate the results of the Theorem.Section 5: How to Use the Naïve Bayes Classifiersthis is the heart of the course. It presents a wide variety of algorithms whose purpose is the supervised classification of data. The Naïve Bayes Classifiers are a family of algorithms based on the Bayes' Theorem. They differ in various ways from each other. They are listed below.Amongst the lectures detailing these algorithms with clear examples are "support" lectures that present topics that are needed as a support to these algorithms.After starting with two lectures that present the fundamentals of Naïve Bayes Classifiers and the required theory, the course proceeds with a set of lectures consisting of 8 Naïve Bayes Classifier variants:1) Categorical Naïve Bayes Classifiers2) Gaussian and Continuous Naïve Bayes Classifiers3) Non-Gaussian Continuous Naïve Bayes Classifiers4) Bernoulli Naïve Bayes Classifier5) Multinomial Naïve Bayes Classifier6) Weighted Naive Bayes Classification7) Complement Naïve Bayes Classification8) Kernel Distance Estimation and Naive Bayes ClassificationTo support the presentations above, the course will interleave the following detailed presentations consisting of methods, topics and procedures:1) Laplace Smoothing Correction2) Extensions to Continuous Features: checking for normality, checking for independence of features, smoothing corrections for Gaussian features3) Two Discrete Distributions - Bernoulli and Categorical4) Two Discrete Distributions - Binomial and Multinomial5) Entropy and Information and how used in Naïve Bayes Classification6) Kononenko Information Gain and Evaluation of Classifiers7) Log Odds Ratio and Nomograms used in Bayes Classification8) Kernel Distance Estimation - Estimating the Bandwidth hResourcesAll lectures will be supported by a variety of resources:· Solved and documented workouts in Excel· Dedicated workbooks that animate and describe various probability distributions· Links to Interesting articles and books
Overview
Section 1: Introduction
Lecture 1 The Purpose and Structure of this Course
Section 2: An In-Depth Presentation of Probability Rules and Practices
Lecture 2 Fundamental Definitions of Probability
Lecture 3 Probability - Distribution Tables (Contingency)
Lecture 4 Probability Rule 1) Intersection Rule for Independent Events (JOIN)
Lecture 5 Probability Rule 2) The Union Rule (OR or UNION)
Lecture 6 Probability Rule 3) The Union Rule (XOR or Exclusive UNION)
Lecture 7 Probability Rule 4) The Intersection Rule (AND or CONDITIONAL) for Dependent Eve
Lecture 8 Probability Rule 4) The Intersection Rule for Dependent Events (Examples)
Lecture 9 Probability - Decision Trees and Probability
Lecture 10 Probability Rule 5) The Meaning of Independence and Mutual Exclusivity
Lecture 11 Probability Rule 6) Total Probability
Lecture 12 Probability Rule 7) The Chain Rule of Probability
Section 3: The Use of the Confusion Matrix for Evaluating Bayesian Results
Lecture 13 Evaluating Classifiers with the Confusion Matrix and its KPIs
Lecture 14 Extracting KPI's from the Confusion Matrix
Lecture 15 Evaluating Classifiers in the Case of Multiple Classes or Multiple Labels
Section 4: The Fundamental Application of Bayes' Theorem
Lecture 16 Bayes Theorem - Rationale and Derivation of Theorem
Lecture 17 Bayes Theorem - A Bayesian Story, an Example without Formulas
Lecture 18 Bayes Theorem - Defining the Factors in Bayes' Theorem
Lecture 19 Bayes' Theorem - (W1) The Famous HIV Test
Lecture 20 Bayes' Theorem - (W2-W4) Spam Testing 3 Events, Defective Machines and HIV (Hori
Lecture 21 Bayes' Theorem - (W5) Spam Testing (Contingency Table and Graphic Solutions)
Lecture 22 Bayes' Theorem - (W5) Spam Testing (Continued - Deriving Posteriors with the Con
Lecture 23 Bayes' Theorem - (W6-W8) Predicting Rain and Identifying Product Suppliers + Mon
Section 5: Naive Bayes Classifiers
Lecture 24 Naive Bayes Classifiers - Introduction
Lecture 25 Naive Bayes Classifiers - Introducing the Algorithm
Lecture 26 Naive Bayes Classifiers - The Algorithm thru a Short Example
Lecture 27 Naive Bayes Classifiers - The Naive Bayes Classifier Procedure Applied on a Cate
Lecture 28 Naive Bayes Classifiers - More Categorical Examples
Lecture 29 Naive Bayes Classifiers - Laplace Smoothing Correction
Lecture 30 Naive Bayes Classifiers - Correction using M-Estimates
Lecture 31 Naive Bayes Classifiers - Gaussian and Continuous
Lecture 32 Naive Bayes Classifiers - Three Gaussian Examples
Lecture 33 Naive Bayes Classifiers - Some Extensions to Continuous Features
Lecture 34 Naive Bayes Classifiers - Handling Non-Gaussian Continuous Features (Beta Distri
Lecture 35 Naive Bayes Classifiers - Applying the Non-Gaussian (Beta) Procedure to Personal
Lecture 36 Naive Bayes Classifiers - Discrete Distributions - Bernoulli and Categorical
Lecture 37 Naive Bayes Classifiers - Discrete Distribution - Binomial
Lecture 38 Naive Bayes Classifiers - Discrete Distribution - Multinomial
Lecture 39 Naive Bayes Classifiers - Bernoulli Naive Bayes Examples
Lecture 40 Naive Bayes Classifiers - Multinomial Naive Bayes Examples
Lecture 41 Naive Bayes Classifiers - Weighted Naive Bayes
Lecture 42 Naive Bayes Classifiers - Complement Classifier
Lecture 43 Naive Bayes Classifiers - Entropy and Information
Lecture 44 Naive Bayes Classifiers - Kononenko Information Gain and Evaluation Feature Infl
Lecture 45 Naive Bayes Classifiers - Log Odds Ratio and Nomograms
Lecture 46 Naive Bayes Classifiers - Kernel Distance Estimation (Discrete and Continuous Di
Lecture 47 Naive Bayes Classifiers - Kernel Distance Estimation and Application of Naive Ba
Lecture 48 Naive Bayes Classifiers - Kernel Distance Estimation - Estimating the Bandwidth
Data Scientists and Analysts,Machine Learning Engineers,Artificial Intelligence Researchers,Software Developers,Business Analysts,Market, Healthcare, Education and Financial professions,Cybersecurity Experts,Natural Language Processing (NLP) Specialists,Product Managers,Business Improvement Experts,Quality Assurance Professionals
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Код:
https://www.udemy.com/course/applied-bayes-theorem-and-naive-bayes-classifiers/



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Старый 15.11.2024, 19:30   #445
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По умолчанию Applied Computer Vision Object Detection and Recognition


Free Download Applied Computer Vision Object Detection and Recognition
Published 10/2024
Created by Vahid Mirjalili, PhD,Taban Eslami
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 44 Lectures ( 2h 14m ) | Size: 853 MB

Object Recognition From Basics to Advanced Techniques
What you'll learnUnderstand the fundamentals of image recognition, including image classification, object detection, and image segmentation (semantic, instance, and panoptic))
Master the underlying theories and principles of key computer vision models, enabling a deep understanding of their functionality and applications
Master PyTorch fundamentals, learn how to build a CNN model, and your custom image dataset
Implement advanced image recognition models and train them in PyTorch
RequirementsPython Programming Experience: Familiarity with programming, particularly in Python, as it's the primary language used with PyTorch. Students should be comfortable with basic programming concepts and structures.
Understanding of Basic Machine Learning Concepts: A foundational knowledge of machine learning principles, including what models are, how they are trained, and a basic understanding of concepts like classification, regression, overfitting, and underfitting.
Introductory Knowledge of Deep Learning: Familiarity with the basic concepts of neural networks, including what they are and how they are generally structured and trained.
DescriptionComputer Vision and Object RecognitionThis course provides a comprehensive journey into computer vision and object recognition, guiding you from the foundational concepts to advanced model implementation and evaluation. Through a hands-on approach, you will explore key computer vision tasks such as image classification, object detection, semantic segmentation, and instance segmentation. The course uses popular datasets like COCO-2017 and CamVid, and frameworks such as PyTorch and FiftyOne to enhance your practical skills.Section 1: Introduction We begin with an overview of the course and object recognition, followed by setting up the necessary environment for efficient implementation.Section 2: Recap of Convolutional Neural Networks (CNNs) This section refreshes your knowledge of CNNs and introduces essential tools like FiftyOne for dataset management, along with tutorials to get familiar with PyTorch.Section 3: Image Classification You will learn to build and train a multi-class image classifier using the COCO-2017 dataset, focusing on classes like cats, dogs, and horses. The classifier is built using a pre-trained ResNet model, demonstrating the process of transfer learning and hyperparameter tuning.Section 4: Object Detection We delve into object detection using two popular models, Faster-RCNN and YOLOv8. You'll prepare datasets, train both models, and analyze their performance using FiftyOne, gaining hands-on experience with both region-based and single-shot detection methods.Section 5: Semantic Segmentation In this section, you will work with the CamVid dataset to understand semantic segmentation, which involves assigning a class to every pixel in an image. Using the segmentation_models_pytorchlibrary, you will train and evaluate a segmentation model to recognize objects in scenes.Section 6: Instance Segmentation We cover instance segmentation, where the goal is to differentiate between multiple instances of the same object class. You'll build and train a Mask-RCNN model for this task, working with segmentation annotations from the COCO-2017 dataset.Throughout the course, we place a strong emphasis on hands-on exercises, real-world datasets, and model evaluation to equip you with the skills needed to tackle practical computer vision challenges. By the end, you will be well-prepared to implement and evaluate various computer vision models, with a solid understanding of the nuances involved in different tasks like classification, detection, and segmentation.
Who this course is forStudents and Learners in Computer Science: Undergraduate or graduate students who are majoring in computer science, data science, artificial intelligence, or related fields and want to gain practical skills in image recognition using PyTorch.
Aspiring Data Scientists and Machine Learning Engineers: Individuals looking to enter the field of data science or machine learning with a specific interest in image processing and recognition techniques.
AI and Machine Learning Enthusiasts: Individuals who have a keen interest in artificial intelligence and machine learning and want to deepen their understanding of image recognition.
Tech Entrepreneurs: Entrepreneurs or innovators looking to understand image recognition to implement or improve product offerings, particularly in tech-driven markets.
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Код:
https://www.udemy.com/course/applied-computer-vision/







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Старый 15.11.2024, 19:32   #446
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По умолчанию Applied Yocto Project using Raspberry Pi 5 (Embedded Linux)


Free Download Applied Yocto Project using Raspberry Pi 5 (Embedded Linux)
Published 10/2024
Created by Mustafa Ozcelikors
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 27 Lectures ( 10h 54m ) | Size: 6.1 GB

Explore Embedded Linux using Yocto Project and create powerful systems on Raspberry Pi 5
What you'll learn:
Understand the core philosophy behind Embedded Linux systems from Introductory to Advanced subjects.
Understand why we use Embedded Linux in certain products.
Understand how Linux systems and Raspberry Pi 5 boot.
Grasp how embedded Linux tasks work (unpack, patch, configure, compile, install, deploy, package).
Understand Linux distributions and package managers.
Comfortably handle tasks regarding Yocto Project and its configuration with ease.
Understand how Raspberry Pi 5 layer and board configuration work in Yocto Project (meta-raspberrypi, hardware specs, serial console).
Create your own machine configurations within Yocto Project.
Create your own layers for your Linux distribution.
Comfortably create new recipes for software packages that use multiple build systems (GCC, GNU Make, CMake, PyPi).
Integrate third party software (e.g. GNOME, XFCE, Qt) in Embedded Linux products.
Integrate graphical desktop in your Embedded Linux system.
Deploy system images to Raspberry Pi 5 and work with secure shells and serial console software.
Create patches for existing software packages using DEVTOOL.
Understand how to comfortably understand and modify kernel configurations (Kconfig, config fragments).
Downgrade and upgrade Linux Kernel version of your embedded Linux distribution.
Requirements:
Basic understanding of Linux systems (shell scripts, building software)
Basic understanding of C programming
Description:
Hi,My name is Mustafa Ozcelikors, a Senior Linux & Android Engineer and team leader with more than +8 years of experience working in automotive with Master's Degree in Embedded Systems, who have won Google SOC event in 2017 and who have been actively contributing to open source and commercial projects. I have been using Yocto Project for almost 10 years, dating back to my college years."Applied Yocto Project using Raspberry Pi 5 (with Embedded Linux practices)" is an unique Embedded Linux course unlike any other. The course utilizes drawings, slideshows, diagrams, examples, hands-on applications in order for you to visualize every subject in your mind with ease. Course level starts with beginner, but some advanced topics are also explained.Theoretical subjects are carefully planned and almost for every important subject, multiple block diagrams have been created for better understanding. Almost every figure, schematic, drawing comes from years of experience in the field, not from the internet or from any book. In practical subjects, we take a deep dive in exploring Yocto Project together, and open up a terminal together to achieve things within it.At the end of the course we together will have a custom Linux distribution with distinct machine configuration, kernel, recipe examples, and Qt application.You are in this now for the following great content:Understand the core philosophy behind Embedded Linux systems from Introductory to Advanced subjects.Understand why we use Embedded Linux in certain products.Understand how Linux systems and Raspberry Pi 5 boot.Grasp how embedded Linux tasks work (unpack, patch, configure, compile, install, deploy, package).Understand Linux distributions and package managers.Comfortably handle tasks regarding Yocto Project and its configuration with ease.Understand how Raspberry Pi 5 layer and board configuration work in Yocto Project (meta-raspberrypi, hardware specs, serial console).Create your own machine configurations within Yocto Project.Create your own layers for your Linux distribution.Comfortably create new recipes for software packages that use multiple build systems (GCC, GNU Make, CMake, PyPi).Integrate third party software (e.g. GNOME, XFCE, Qt) in Embedded Linux products.Integrate graphical desktop in your Embedded Linux system.Deploy system images to Raspberry Pi 5 and work with secure shells and serial console software.Create patches for existing software packages using DEVTOOL.Understand how to comfortably understand and modify kernel configurations (Kconfig, config fragments).Downgrade and upgrade Linux Kernel version of your embedded Linux distribution.Thank you very much for your interest! I hope to see you in the first lecture!Kindly yours,M.Eng Mustafa Ozcelikors
Who this course is for:
Embedded Linux professionals who want to get started with Yocto Project
Embedded Linux professionals who appreciate a great wrap-up
Aspiring embedded system developers who would like to start with Embedded Linux development
Hobbyists that would like to create Raspberry Pi 5 based Embedded Linux products
Homepage
Код:
https://www.udemy.com/course/yocto-project/













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По умолчанию Apprendre Symfony 6 Sans Blabla!


Free Download Apprendre Symfony 6 Sans Blabla!
Dernière mise à jour : 1/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: Français | Size: 4.57 GB | Duration: 8h 58m
Maitrisez les concepts fondamentaux en Symfony 6 par la pratique, sans blabla!

What you'll learn
Développer de puissants sites webs en un rien de temps
Mettre en place un backoffice
Gérer une base de données relationnelle avec les commandes Symfony
Découvrir les différentes facettes du framework
Acquérir les bonnes pratiques en Symfony
Requirements
N'hésitez pas à regarder nos vidéos en HTML5 si vous ne maitrisez les différents éléments du DOM et en PHP. Pour le reste, tout ce dont vous avez besoin de savoir pour maitriser le framework PHP vous sera expliqué pas à pas!
Description
Développez de puissants sites web en un rien de temps !Symfony est un framework PHP basé sur le modèle MVC (Model View Controller) qui vous permettra de créer de sublimes site web tout en assurant la gestion de vos bases de données ! Et c'est signé made in France !Si vous souhaitez entreprendre une carrière en tant que développeur full-stack, vous devez apprendre Symfony !Notre équipe a mis en place pour vous un cours complet, divertissant dans lequel vous apprendrez pas à pas les dernières bonnes pratiques en Symfony en partant de zéro. Apprenez les fondamentaux et mettez en pratique chaque concept clé en quelques heures seulement et créez vos premières pages web !Ce cours décortique chaque notion clé en un cours accessible et concret avec des exemples de la vie de tous les jours, au travers d'exercices ludiques dans lesquels chaque correction sera abordée pas à pas ! Pas de bla-bla ici, que du concret !Pour cette formation sur Symfony, je vous laisse au côté de notre expert Mathieu, avec qui vous développerez un projet fil rouge tout au long des vidéos!Vous êtes prêts? alors installez-vous confortablement sur votre chaise et à vos claviers et éditeurs de texte, c'est partie !
Overview
Section 1: Qui suis-je?
Lecture 1 Qui suis-je?
Section 2: Présentation du framework
Lecture 2 Qu'est-ce que Symfony?
Section 3: Installation sous Mac
Lecture 3 Installer Mamp
Lecture 4 Installer php
Lecture 5 Installer composer
Lecture 6 Installer Symfony CLI
Section 4: Installation sous Windows
Lecture 7 Installer un server Web local
Lecture 8 Installer Composer
Lecture 9 Installer Symfony CLI
Lecture 10 Installer Node JS
Lecture 11 Installer Cmder
Lecture 12 Configurer Git
Lecture 13 Autres configurations
Section 5: Comprendre le framework Symfony
Lecture 14 Créer un projet Symfony
Lecture 15 Lancer une application Symfony
Lecture 16 Installer d'extensions
Lecture 17 Découvrir l'architecture Symfony
Lecture 18 Les dépendances Symfony
Section 6: Création de notre première page
Lecture 19 Le MakerBundle
Lecture 20 02 - Générer un controller
Lecture 21 Les annotations
Section 7: Gestion du controller
Lecture 22 Méthodes et réponse
Lecture 23 Ajouter une route à un controller
Lecture 24 Url avec paramètre dynamique
Lecture 25 Débugger notre paramètre dynamique avec Symfony
Lecture 26 Valider les paramètres de ma route
Lecture 27 Créer des variables pour ma vue
Lecture 28 Afficher un tableau dans notre vue
Lecture 29 Définir des routes mutliples
Section 8: Le moteur de template Twig
Lecture 30 Présentation
Lecture 31 Les variables Twig
Lecture 32 La notion de blocks
Lecture 33 Utiliser Bootstrap
Lecture 34 Javascript & CSS
Lecture 35 Les routes avec Twig
Lecture 36 Les autres blocks essentiels
Lecture 37 Afficher la liste d'événements en respectant l'architecture Twig
Lecture 38 Gérer la page 'Détail d'un événement' avec le système de block
Lecture 39 Créer des liens dynamiques pour accéder aux détails d'un événement
Lecture 40 Types de données et méthodes prédéfinies
Lecture 41 La concaténation avec Twig
Lecture 42 Affichage sous condition
Section 9: Les Services
Lecture 43 Les Services
Lecture 44 Les Services existants
Lecture 45 Créer son propre service
Lecture 46 Finalisation de notre route
Lecture 47 Renvoyer une erreur 404
Section 10: Gestion des bases de données
Lecture 48 Les bases de données avec Symfony
Lecture 49 Installation de l'ORM Doctrine
Lecture 50 Configuration de la base de données
Lecture 51 Création de la base de données
Lecture 52 Création des entités
Lecture 53 Modifier une propriété
Lecture 54 Création des dernières entités
Lecture 55 Gestion des migrations
Lecture 56 Gérer les relations entre les tables
Lecture 57 Gérer une relation Many to Many
Lecture 58 Générer et appliquer une migration
Lecture 59 Créer un premier événement
Lecture 60 Sélectionner notre évènement la BDD
Lecture 61 Sélectionner un événement par son ID
Section 11: Mettre en place de fausses données avec DataFaker
Lecture 62 Générer de fausses données avec Faker PHP
Lecture 63 Installation
Lecture 64 Fonctionnement
Lecture 65 Optimiser nos fixtures
Lecture 66 Créer de faux événements
Lecture 67 Associer un événement à une ou plusieurs catégories aléatoires
Section 12: Gestion des formulaires
Lecture 68 Designer l'application avec Bootstrap
Lecture 69 Afficher les données manquantes sur nos cards
Lecture 70 Afficher le détail d'un événement
Lecture 71 Afficher la liste des catégories
Lecture 72 Créer un événement via un formulaire
Lecture 73 Associer les types aux champs
Lecture 74 Pré-remplir un formulaire
Lecture 75 Créer notre classe de formulaire
Lecture 76 Customiser notre formulaire
Lecture 77 Appliquer un thème à notre formulaire
Lecture 78 Validation des données
Lecture 79 Persister et valider les données du formulaire
Lecture 80 Traduire les message d'erreurs
Lecture 81 Modifier un événement
Lecture 82 Supprimer un événement
Section 13: Aller plus loin dans la gestion des formulaires
Lecture 83 Gérer les options d'un select
Lecture 84 Radio, Checkbox and Select
Lecture 85 Ajouter un input type file
Lecture 86 Gérer l'ajout de fichier
Lecture 87 Afficher les images uploadées
Lecture 88 Gérer la modification d'une image
Lecture 89 Gérer la suppression d'une image
Section 14: Gestion des requêtes HTTP
Lecture 90 Les requests
Lecture 91 Récupérer les données d'un formulaire avec la request de Symfony
Lecture 92 Filtrer les données avec le Query Builder de Symfony
Section 15: Envoyer des emails avec Symfony
Lecture 93 Envoyer un mail avec Symfony
Lecture 94 Mettre en place le formulaire d'envoi
Lecture 95 Configuration et validation du formulaire
Lecture 96 Envoyer un mail avec Mailer
Lecture 97 Configurer et debugger l'envoi de mail
Lecture 98 Débugger l'envoi de mail avec MailDev
Lecture 99 Envoyer un contenu HTML
Section 16: Gestion de la sécurité avec Symfony
Lecture 100 La sécurité dans Symfony
Lecture 101 Création de l'entité User
Lecture 102 Créer un user avec les fixtures
Lecture 103 Gérer l'authentification du User
Lecture 104 Gérer l'inscription du User
Lecture 105 Etre connecté directement après l'inscription
Lecture 106 Finaliser l'inscription
Lecture 107 Protéger nos routes
Lecture 108 Réinitialiser un mot de passe
Lecture 109 Traduction des autres formulaires
Section 17: Gestion de la session avec Symfony
Lecture 110 Les messages flash et la session
Lecture 111 La session utilisateur
Lecture 112 Associer un utilisateur connecté à un événement
Section 18: Gestion des assets avec Symfony
Lecture 113 Gestion des assets avec Symfony
Lecture 114 Les commandes Web Pack Encore
Lecture 115 La compilation du code Javascript
Lecture 116 Saas et Symfony Encore
Lecture 117 Installer Bootstrap
Lecture 118 Gérer la compilation du code Javascript
Lecture 119 Installer jQuery
Section 19: Mise en place d'un backoffice avec EasyAdmin
Lecture 120 Créer un backOffice avec EasyAdmin
Lecture 121 Créer le Dashboard Controller
Lecture 122 Créer un controller CRUD
Lecture 123 Configurer les labels et les colonnes du backoffice
Lecture 124 Gérer toutes nos entités
Lecture 125 Gérer nos utilisateurs
Lecture 126 Gérer nos événements
Lecture 127 Limiter l'accès à notre backOffice
Lecture 128 Customiser la page Dashboard
Toute personne souhaitant démarrer une carrière de développeur back-end ou full-stack,Toute personne souhaitant apprendre un framework back-end basé sur le modèle mvc,Toute personne familière avec les langages de programmation ou l'univers du web,Toute personne en recherche de bonnes pratiques,Toute personne voulant vérifier ses acquis ou se mettre à jour avec les versions actuelles de Symfony,Toute personne voulant à la fois développer la partie front-end et back-end de son projet web
Screenshot
Homepage
Код:
https://www.udemy.com/course/apprendre-symfony-6-sans-blabla/



Код:
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По умолчанию Apprendre Symfony 6 by Huynh Yvon


Free Download Apprendre Symfony 6 by Huynh Yvon
Dernière mise à jour : 5/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: Français | Size: 3.00 GB | Duration: 7h 33m
Apprenez en créant une application MVC en orienté objet avec le Framework Symfony

What you'll learnApprendre à créer une application Symfony
Apprendre les templates Twig
Apprendre l'ORM de Symfony Doctrine
Apprendre à coder les routes d'un controller
RequirementsAvoir les connaissance de base de PHP
DescriptionJ'ai travaillé 12 ans dans le développement web, puis je suis devenu formateur depuis 4 ans dans le développement web à plein temps, je vous apprends avec simplicité comment développer de façon professionnelle.Le framework Symfony bénéficie de plus de dix ans de savoir faire de leurs créateurs, c'est un framework qui utilise à plein les concepts de programmation orientée objet. C'est donc un très bon framework PHP pour manipuler les concept jusque là réservé à Java ou C#.Vous apprendrez non seulement les bases de la programmation objet, mais aussi beaucoup de design pattern, MVC comme model-vue-controller qui permet de développer de grosses applications, la notion d'ORM avec Doctrine, la programmation événementielle, l'injection de dépendance entre autre.Symfony permet la création d'un système d'authentification très rapidement, vous évitant de perdre des semaines de code, avec in fine un système moins robuste.On verra d'autres choses intéressante comme l'envoi d'email, l'upload d'image, la création d'un service, Symfony étant orienté service, vous êtes en architecture orientée service.Enfin on verra comment déployer une application Symfony sur un serveur via git.(vous aurez un mini cours sur Git ne vous inquiétez pas).Les cours en vidéo expliquent de façon très clair toutes les manipulations (complexes)
OverviewSection 1: Mise en place de l'environnement
Lecture 1 Introduction
Lecture 2 Présentation du framework Symfony 6
Lecture 3 Qu'est ce qu'un framework MVC?
Lecture 4 Rappel de programmation PHP orienté objet - Introduction
Lecture 5 Rappel de programmation PHP orienté objet - Classe, Objets et héritage
Lecture 6 Rappel de programmation PHP orienté objet - Interfaces
Lecture 7 Rappel de programmation PHP orienté objet - Architecture orientée services
Lecture 8 Rappel de programmation PHP orienté objet - Injection de dépendance
Lecture 9 Installation de Laragon sous Windows
Lecture 10 Installation de Composer
Lecture 11 Installation sous Linux
Lecture 12 Installation de VSCode
Section 2: Codage de l'application Symfony
Lecture 13 Création de votre projet Symfony avec Composer
Lecture 14 Création de votre projet Symfony avec Symfony CLI
Lecture 15 Mise à jour de PHP vers PHP 8.2
Lecture 16 Versionnez votre code
Section 3: Création de la première page et de la base de données
Lecture 17 Structure de répertoire d'un projet Symfony
Lecture 18 Création de la première page et de la base de données
Lecture 19 Création d'un controller
Lecture 20 Les annotations, routes et slug
Lecture 21 Le code HTML avec le templating TWIG
Lecture 22 Exercice - Création d'une page
Lecture 23 Correction Exercice Création d'une page
Section 4: L'entité spéciale User
Lecture 24 Création de l'entité spéciale User avec make
Lecture 25 Entité et Repository
Lecture 26 Création du script de migration et migration effective
Section 5: Création d'entité Product et Category avec cardinalité
Lecture 27 Création de l'entité Product
Lecture 28 Exercice : Création de l'entité Category
Lecture 29 Correction Création de l'entité Category
Lecture 30 Migration des entités Product et Category
Lecture 31 Défaire une migration Doctrine
Section 6: Authentification
Lecture 32 Création de l'authentification pour User
Lecture 33 Créer des données avec la classe Fixture
Lecture 34 Hydration de l'entité User avec mot de passe hashé
Lecture 35 Exercice
Lecture 36 Créer d'autres utilisateurs avec les fixtures
Lecture 37 Correction de l'exercice
Section 7: Les formulaires Part 1
Lecture 38 Création de formulaire
Lecture 39 Amélioration de ProductType
Lecture 40 Fonction insertion de produit
Lecture 41 Exercice Création du formulaire pour l'entité Category
Lecture 42 Correction exercice
Section 8: Les formulaire Part 2
Lecture 43 Intégration de Bootstrap
Lecture 44 Les messages Flash
Lecture 45 Widgets selection de date et heure 1/2
Lecture 46 Widgets selection de date et heure 2/2
Lecture 47 Edition et suppression de catégorie 1/2
Lecture 48 Edition et suppression de catégorie 2/2
Lecture 49 Upload d'images 1/2
Lecture 50 Upload d'images 2/2
Section 9: Protgéger l'accès à certaines pages de votre site
Lecture 51 Exercice : Mettre au propre la Navbar
Lecture 52 Corrigé exercice
Lecture 53 Exercice : afficher l'utilisateur connecté à droite de la Navbar
Lecture 54 Corrigé exercice
Lecture 55 Exercice : Ajout d'un lien de déconnexion
Lecture 56 Corrigé exercice lien déconnexion
Lecture 57 Gérer les droits d'accès aux pages 1/2
Lecture 58 Gérer les droits d'accès aux pages 2/2
Section 10: Les formulaires Part 3
Lecture 59 Exercice : Création du CRUD pour le User
Lecture 60 Correction exercice CRUD User
Lecture 61 CRUD User (suite)
Lecture 62 Edition du User
Section 11: L'implémentation du MVC dans Symfony
Lecture 63 MVC à la sauce Symfony
Section 12: Plus loin avec le moteur de template Twig
Lecture 64 Elements de langage Twig
Lecture 65 Twig IF et les objets et tableaux
Lecture 66 Héritage de template et les blocks
Lecture 67 Inclusions de templates
Section 13: Envoi d'emails avec Symfony
Lecture 68 Configuration du SMTP de Gmail
Lecture 69 Configuration du SMTP de Mailjet
Lecture 70 Envoi d'emails avec Symfony
Lecture 71 Envoi d'email avec la librairie PHPMailer
Section 14: Travailler avec les services dans Symfony
Lecture 72 Créer un service MessageGenerator
Lecture 73 Créer un service avec une librairie tierce via l'héritage
Lecture 74 Configurer un service dans Symfony
Lecture 75 Exercice
Lecture 76 Corrigé exercice
Section 15: Déployer votre application Symfony
Lecture 77 Les dossier /var
Lecture 78 L'environnement de développement et de production
Lecture 79 Déploiement via FTP
Lecture 80 Déploiement avec Git et CPanel
Lecture 81 Clonage d'un repository privé de Github
Lecture 82 Composer install et fichier .env
Section 16: Notions avancées dans Symfony
Lecture 83 Changement du mot de passe de l'utilisateur
Lecture 84 Correction exercice mot de passe
Lecture 85 Les événement de formulaire
Lecture 86 Les événements avec les Subscriber 1/2
Lecture 87 Les événements avec les Subscriber 2/2
Lecture 88 Conclusion sur les Subscriber
Lecture 89 Les événements avec les Event Listener
Lecture 90 Subscriber ou Listener?
Section 17: Le mot de la fin
Lecture 91 Félicitation, vous avez fait un grand ps dans le MVC et la POO !
Débutant en PHP, développeur Wordpress, développeur front end

Homepage
Код:
https://www.udemy.com/course/apprendre-symfony-6/



Код:
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По умолчанию Apprendre a programmer en Python et realiser 4 projets reels


Free Download Apprendre a programmer en Python et realiser 4 projets reels
Last updated 2/2024
Created by skilldeve | Enseignant universitaire | Développeur | Data Scientist
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: French + subtitle | Duration: 194 Lectures ( 27h 5m ) | Size: 7.16 GB

Python procédural | Python Orienté Objet | 4 projets complets | 11 QCM et 41 exercices corrigés
What you'll learn
Apprenez les fondamentaux du langage Python,
Apprenez à utiliser Python 3 de manière professionnelle,
Comprenez comment créer vos propres programmes Python,
Apprenez la programmation orientée objet (POO) en Python,
Apprenez les interfaces graphiques,
Apprenez comment gérer les bases de données en Python,
Apprenez comment créer des applications de bureau python en POO.
Requirements
Aucune expérience en programmation nécessaire - je vous apprendrai tout ce que vous devez savoir,
Un ordinateur Mac ou PC avec accès à Internet,
Aucun logiciel payant requis - Je vais vous expliquer étape par étape comment installer et configurer tous les logiciels
Description
Avec plus de 27 heures, ce cours Python est sans aucun doute le cours Python le plus complet disponible en ligne. Même si vous n'avez aucune expérience en programmation, ce cours vous mènera du débutant au professionnel.Le but de ce cours est de vous faire partir de zéro et de vous aider à devenir un développeur Python. Nous y parviendrons en adoptant une pédagogie basée sur notre longue expérience dans la formation, en vous expliquant chaque notion à partir de zéro, étape par étape et en créant de véritables applications (projets). Vous aurez plus de 50 exercices de code à réaliser de manière interactive. Si Vous êtes bloqués, vous pouvez consulter la solution mise à votre disposition. Vous pouvez poser des questions à tout moment dans les questions-réponses et le formateur interviendra pour vous aider. Chaque notion est présentée et expliquée de manière très simples à comprendre.Vous apprendrez tout le processus de développement de programme en Python. Il y aura 4 applications que nous allons créer ensemble pour mettre en pratique les connaissances que vous aurez appris.En s'inscrivant à ce cours, vous aurez accès à vie à toutes ses vidéos, ses exercices de codage, ses quiz, ses scripts de codes sources, le forum de questions-réponses à l'intérieur du cours. En plus de cela, vous êtes couvert par la garantie de remboursement Udemy de 30 jours, vous pouvez donc facilement vous désinscrire si vous n'êtes pas satisfait et vous serez totalement remboursés.Pour devenir développeur Python, vous devez au moins maitriser tous les fondamentaux du langage Python, la programmation orienté objet en python, la gestion des bases de données en Python et les interfaces graphiques en Python. Il n'y a pas d'autre cours qui vous enseigne tout cela en une seule formation. Inscrivez-vous et commencez à apprendre le langage fantastique de programmation Python dès aujourd'hui !Le cours sera constamment mis à jour avec du nouveau contenu, avec de nouveaux projets et modules proposés par les étudiants - c'est à vous !Pour plus d'informations visitez mon site Web proformations dot fr
Who this course is for
Tous ceux qui souhaitent apprendre Python à partir de zéro
Développeurs Python débutants qui souhaitent se perfectionner
Homepage
Код:
https://www.udemy.com/course/python-la-formation-complete-2021-de-zero-a-confirme/
Screenshot








Код:
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По умолчанию Apprendre le Japonais pas-a-pas pour les debutants


Free Download Apprendre le Japonais pas-a-pas pour les debutants
Last updated 11/2023
Created by Wonderful Japan
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: French | Duration: 40 Lectures ( 6h 5m ) | Size: 6.2 GB

Cours de japonais pour apprendre facilement les bases de la langue sans être un génie
What you'll learn
Savoir lire et écrire les deux syllabaires japonais : les Hiragana et les Katakana
Connaître la bonne prononciation de la langue japonaise
Savoir s'exprimer et construire ses propres phrases en japonais
Connaître la grammaire de base de la langue japonaise
Se familiariser avec les Kanji et leur utilisation
Connaître le vocabulaire de base
Requirements
Aucune expérience ou compétence n'est nécessaire pour suivre cette formation qui est destinée aux débutants. L'étudiant apprendra tout ce dont il a besoin au fur et à mesure de sa progression.
Description
Cette formation est conçue pour les débutants qui partent de 0 et qui veulent apprendre la langue japonaise étape par étape, de manière progressive et intuitive.Elle comprend une initiation pour apprendre les bases de la lecture et de l'écriture japonaise en utilisant les deux alphabets syllabaires "hiragana" et "katakana". Vous saurez ainsi lire et écrire des mots japonais de base, ainsi que prononcer les sons et les intonations de la langue. Des fiches avec des exercices et des jeux ludiques vous aideront donc à maîtriser les caractères japonais efficacement.Vous allez aussi acquérir une connaissance solide de la grammaire japonaise grâce à des leçons vidéos claires et faciles à comprendre. Les ressources en ligne vous permettront ainsi de progresser à votre rythme et sans aucune contrainte.D'après les recherches effectuées par le très réputé groupe Brandon-Hall, les étudiants ayant recours à l'apprentissage en ligne ont la possibilité d'assimiler les connaissances à leur propre rythme, ce qui leur permettrait d'économiser jusqu'à 60 % de leur temps par rapport à un cadre d'apprentissage traditionnel.Mais ce n'est pas tout ! Les étudiants qui utilisent la stratégie du "e-learning" réussissent à assimiler au moins cinq fois plus d'informations que ceux qui utilisent des méthodes d'apprentissage ordinaires.Cette augmentation significative de la capacité d'assimilation est une véritable révolution dans le domaine de l'éducation. Avec une telle opportunité entre vos mains, il est temps de plonger dans le monde de l'apprentissage en ligne et de découvrir tout ce qu'il peut vous offrir. Profitez de cette nouvelle ère et laissez votre curiosité vous guider vers de nouveaux horizons.
Who this course is for
Cette formation s'adresse à tous passionnés du Japon et de la culture japonaise qui souhaitent apprendre le japonais
Homepage
Код:
https://www.udemy.com/course/apprendre-le-japonais-pas-a-pas-pour-les-debutants/
Screenshot








Код:
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Ответ

Любые журналы Актион-МЦФЭР регулярно !!! Пишите https://www.nado.in/private.php?do=newpm&u=12191 или на электронный адрес pantera@nado.ws


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