MCP Apps: Connecting Your Data and UI to Claude and ChatGPT


MCP Apps: Connecting Your Data and UI to Claude and ChatGPT
.MP4, AVC, 1280×720, 30 fps | English, AAC, 2 Ch | 23m | 97 MB
Instructor: Morten Rand-Hendriksen​

MCP Apps extends the Model Context Protocol (MCP) by letting you render interactive UI and app features directly inside MCP clients like Claude, ChatGPT, VS Code, Goose, and more. In this course, you’ll learn how to build an MCP App from scratch. You’ll connect your own data, design UI elements that work in chat, and shape interaction patterns that feel natural for users. Along the way, you’ll explore view modes and how they appear in context, practice sending text, context, and UI updates to the client, and create interactive experiences that trigger client responses from UI actions. You’ll also use the MCPJam inspector to test and iterate quickly during development.

Learning objectives

    []Explain what MCP Apps are and how they extend MCP to render interactive UI in MCP clients.
    []Build an MCP App from scratch using templates and AI skills, integrating your data and UI components.
    []Implement two‑way interaction patterns where UI events send messages to the chat model and model outputs update the UI.
    []Compare view modes and predict how each will display and behave in a chat context across clients.
    []Test and debug MCP Apps with the MCPJam inspector to validate messages, context, and UI updates during development.

Exercise Files on GitHub

Homepage


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Maya Facial Rigging Fundamentals

Year of release : 2018
Manufacturer : Pluralsight
Manufacturer’s website : Code:Copy to clipboard

https://www.pluralsight.com/courses/maya-facial-rigging-fundamentals

Author : Carla Heinzel
Translator : abasovna
Duration : 03:41:42
Type of material distributed : Video lesson
Language : En, Ru

Description : Facial rigging is a very important skill needed by any beginning 3D artist, and a flexible and thoughtful rig will help animators in the process of further work. In this course on the basics of facial rigging in Maya, you’ll see the entire facial rigging process from start to finish. The first step is to evaluate what animators need, which is first and foremost a flexible yet functional facial rig designed only for creating really important facial poses. After that, we’ll begin the process, starting with the eyebrows and combining the use of joints and blendshapes, while also going over the pros and cons of both methods. Next, we’ll use both of these techniques for specific parts of the facial rig, such as to simulate the movement of the skin of the eyelids, and we’ll also talk about controllers for the eyeballs. Finally, all of these individual rig elements will be linked to the custom controllers you saw at the very beginning. By the end of this course, you will have all the necessary skills to rig your characters’ faces.
Software : Maya 2017
Example files : present
Video format : MP4
Video : MPEG4 Video (H264) 1280×720 30fps 391kbps
Audio : AAC 44100Hz stereo 128kbps – En
Audio : AAC 44100Hz stereo 128kbps – Ru

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[Pluralsight] Maya Facial Rigging Fundamentals [ENG-RUS] (1.3 GB)
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Maven – The AI Engineering Bootcamp


Released 5/2025 MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 18 Lessons ( 22h 13m ) | Size: 8.3 GB​

Become an AI Engineer in the world’s leading community for people who want to build, ship, and share production LLM applications ?️

Prototype agent apps and get them into Production. Ship fast and keep data safe.
?‍? ON CODING AS AN AI ENGINEER

– Do you code every day?

– If not, are you committed to coding every day as an AI Engineer?

If the answer to both of these questions is "No," this class is not for you.

? ON LEADING AI ENGINEERING TEAMS

– Do you manage a team of people that writes code every day?

If "Yes," this class might be for them.

——

KEY CURRICULUM UPDATES FOR COHORT 8

?[New Additions]

– Context Engineering from first principles

– A primary cohort use case that builds on itself and runs throughout the cohort

– Expansion of Model Context Protocol (MCP) content

– Using Agent2Agent (A2A) Protocol to build and run two agents, one w/ MCP server and one to mimic a human using our agent

– Dedicated Guardrails session, from best-practices to implementation

?[Deprecated]

– Explicit teaching of code and coding agents (in favor of a more implicit approach of using Claude Code regularly)

– Computer Use agents (in favor of A2A and operating an Agent in production)

– Contextual Retrieval

– Hugging Face smol agents

——

OUR COMMUNITY

?️ ?? AI Makerspace is on a mission to create the world’s leading community for people who want to build, ship, and share production LLM applications.

Welcome! We invite you to join our close-knit AI Makerspace community on YouTube (learn live weekly with us for free at 10 AM PT on Wednesdays!) or Discord to start building, shipping, and sharing with us today!

OUR COURSE

The AIE Bootcamp is truly a bootcamp. It’s hard. It’s a grind. But it will transform you! It will get you comfortable thriving at "The LLM Edge" and beyond. Our students don’t just learn; they transform!

Plus, every cohort culminates in a live Demo Day experience! Many of our graduates have launched entirely new startups based on their demo day presentations!

To hear our student’s stories and for a quick glance at all the tools you’ll master, check out the following link now!

OUR ETHOS

Build ?️, Ship ?, Share ?!

This is the secret to success in a 21st-century workforce, and you will live this every class, every week of the cohort!

?‍?‍? Specifically, you will get hands-on experience building and sharing complex LLM and agentic applications weekly, receiving constant feedback during live sessions and through your homework submissions via instructors, peer supporters, and your fellow cohort members.

? WHAT ARE THE PREREQUISITES

You must be familiar with Python programming, prompt engineering, and data science. Learn more about prerequisites here:~ Rule 20 violation ~/aie7-prereqs

? How will I know if it’s right for me?

If you’re unsure if this course be a fit for you, you’ll find tons of resources on this page to help you decide, including

? Curriculum & Detailed Schedule:~ Rule 20 violation ~/aie7-curr

? Demo Day Videos (from cohort 5):~ Rule 20 violation ~/aie5-demos

? Student Interview Videos:Transformations Archives – AI Makerspace

Here are a few long-form pieces of writing about the student experience

– Richard Gower, Cohort 3:~ Rule 20 violation ~/aie-cohort-3-reflections

– Ches Roldan’s "20 Tips to Survive AI Makerspace’s AI Engineering Bootcamp (as a non-technical person)":~ Rule 20 violation ~/aie-20tips

? How much do the tools cost?

Don’t worry! This course is for the GPU-poor among us! This course adapts to industry-standard open-source software and compute hardware and is cloud platform agnostic. We strive to keep your additional costs low (below ~$100 total). Check Q&A for more info!

WHO HAS TAKEN THIS COURSE

Since its launch in January 2024, over 250 people have taken the course! The most successful participants have been Software Engineers and Developers or Data Scientists and Machine Learning/AI Specialists, indicating a focus on analytics, modeling, and artificial intelligence.

Here is a list of companies whose employees have already taken the course

Google, Meta, Microsoft, Amazon, Samsung, Salesforce, IBM, Oracle, Bloomberg, Deloitte, Atlassian, SAP, Infosys, ServiceNow, Shopify, NetApp, Autodesk, Jio Platforms, JP Morgan Chase (JPMC), Walmart, Chevron, Expedia, NTT Data, Ernst & Young, Fannie Mae, National Grid, State Farm, USAA, BMO, TD Bank, Mercer, Kiewit, BP, CVS, Safran, Appian

The most important thing for anyone taking the course is to take it seriously. This advanced course requires commitment, debugging, resilience, and tenacity. These personal attributes matter much more than your current company or job title.

Whether you’re coming from a software engineering or data science background, to be a world-class AI Engineer, you’ll need to know both. This class will teach you the lego blocks of building production-grade LLM applications software as an AI-Assisted Developer. This is where your journey begins!

Top 10 direct quotes from Cohort 5

"One of the best lessons I’ve ever had. The instructor’s level of expertise is high and his communication is extremely easy to understand. I have grasped all the concepts."

"This session was pure gold, seeing actual applications, really nice!"

"I am having lots of fun and learning. LOVE THE ENERGY! Let’s go."

"The breakout rooms are absolutely fantastic. Peer Supporters are bae."

"The breakout rooms are just so good – easily sets it apart from 90% of other courses out there."

"It was a great session today. Super helpful and getting clearer. Amazing job everyone. Love this!!!!"

"I have deployed and built a number of applications right from the first sessions of the course. Knowledge also helps me in self-study and research."

"This class was worth every dollar, thank you guys!"

"Thank you for an amazing ride! "

"I complained last time about the breakout rooms not being long enough and the lectures being too long. This time I think the ratio was GLORIOUS PERFECTION!"

Top 10 direct quotes from Cohort 6

"I am grateful to be part of this cohort. Huge thanks to all of you!!!"

"I will be taking a lot of classes async. The recordings are posted so promptly and the Discord conversations stay active – exactly what you’d expect from a high-quality course!"

"I feel we’re the luckiest group to have Don and Laura in the same cohort – different styles, complementary strengths, and both incredibly patient."

"Peer groups are awesome for discussion – the chats were fire."

"Program is great. It moves fast, but I’d feel ripped off if I were too comfortable!"

"Great class, like always – really enjoying the cohort so far."

"Shout out to everyone in AIM, including the peer supporters. What a great (but challenging) experience!"

"The sessions are going great. I’m learning a lot, and the peer supporters (Andre & Nithin) are so knowledgeable."

"Mike is doing an excellent job – we’re really grokking the content in the breakouts!"

"Andre is amazing – super knowledgeable and incredibly patient in explaining everything to us."

Welcome to Check it Every Days
If you have any troubles with downloading, PM me

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Matt Kenney – Kumiko: Learn Japanese Woodworking Design / Matt Kenney – Kumiko : Learn Japanese D…

Kumiko: Learn Japanese Woodworking Design
Posted by Matt Kenney
Subject : Woodworking (kumiko)
Type of material distributed : Video lesson
Language : En
Duration : 2 hours 53 minutes.
Translation : Absent
Subtitles : En
Link to the video course on the manufacturer’s website :
Code:Copy to clipboard

https://www.domestika.org/en/courses/2106-kumiko-learn-japanese-woodworking-design/

Kumiko: Learn Japanese Woodworking Design

Description :
Combine geometry, patterns and clean lines to create graceful works of art using this ancient technique.
Kumiko is a quiet and thoughtful technique that requires patience and precision. The ancient Japanese woodworking technique involves creating patterns from small interlocking pieces of wood, something professional furniture maker Matt Kenny is an expert at. He uses Kumiko to create furniture with meaning beyond function and published a book on the subject, The Art of Kumiko.
In this course, Matt walks you through the steps needed to create exquisite pieces of wood art. Learn to combine geometry, patterns and clean lines to find peace in the ancient art form of Kumiko.
About
Combine geometry, patterns, and clean lines to craft delicate artwork with this ancient technique
Kumiko is a quiet and thoughtful technique that requires patience and precision. The ancient Japanese woodworking technique consists of making patterns from small pieces of interlocking wood, and it’s something professional furniture maker, Matt Kenney is an expert in. He uses Kumiko to create furniture with a meaning beyond function and has published a book, The Art of Kumiko, on the subject.
In this course, Matt walks you through the steps needed to create delicate pieces of art with wood. Learn to combine geometry, patterns, and clean lines to find serenity in the ancient art form of Kumiko.

Contents
Unit 1 Introduction
About Me
Influences
Unit 2: Tools and Materials
Tools
What Type of Wood and Where to Find It
How to Mill Wood
Unit 3: Making the Frame
The Anatomy of Kumiko
Using the Sled and Finger Joint Jigs
Making Thin Strips for the Frame
Assemble the Frame 1
Assemble the Frame 2
Unit 4: The Asa-No-Ha Pattern
Parts of the Pattern: Diagonal, Hinge Piece, Locking Piece
Making the Diagonal Piece
Cutting Offset Bevels and Fitting the Hinge Pieces
Make the Locking Piece
Unit 5: The Hashtag Pattern
Cutting Notches
Ripping Out Thin Strips for the Pattern
Assembling the Pattern and Cutting The Hashtag to Fit
Finishing Your Piece
Final project
The Art of Kumiko: Creating Patterns with Wood

Quality : WEBRip
Format : MP4
Video codec : AVC1
Audio codec : AAC LC
Video : MPEG-4, 1920×1080 px, 25 fps, ~1700-2300 kb/s
Audio : 44.1 KHz, 2 channels, 128 kb/s

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Kumiko – Learn Japanese Woodworking Design (2.74 GB)
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Mastering Visual Studio Code (2026)


Mastering Visual Studio Code (2026)
2026-01-06
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 3.98 GB | Duration: 9h 0m​

Boost your productivity with Visual Studio Code, the best code editor of the moment!

What you’ll learn
Install and configure VSCode for your specific operating system
Explore the UI of VSCode and quickly learn how to customize it for your needs
Design state of the art projects and lint, refactor and debug your program all within your IDE
VSCode advanced debugging techniques for JS, Python, Java, C++
Analyze big codebases easily with VSCode
Develop remotely with SSH directly inside your IDE
Develop inside a Docker container
VSCode extensions for frameworks (React, Vue, Angular)
Source control inside the code editor and basic and intermediate Git commands. Authenticate VSCode for all source control operations.
Markdown, JSDoc, SQL, YML – edit them with powerfull syntax highlight
Python in VSCode
Java in VSCode
C++ in VSCode
GitHub Copilot inside VSCode

Requirements
Basic coding skills

Description
In just a few years, Visual Studio Code became the number 1 tool any programmer should use. Even if you need a simple code editor, or a complex IDE, with rich features like refactoring, linting or debugger, VSCode is the tool you need. Why use one tool for your HTML and CSS, one for your back-end development and another one for course control, when you can have everything you need in one single, fast and beautiful program: Visual Studio Code.Welcome to my Mastering Visual Studio Code course, where you will learn everything you need about this awesome tool!VSCode features and topics covered:Installation and first stepsVisual and functional setupEasily handle Visual Studio Code extensionsGeneral programming topicsebugging RefactoringCode snippetsFile formatting and commentsUse Visual Studio Code for JavaScript and TypeScript programming.Debug NodeJs and Browser apps.Use Visual Studio Code for Python or Java programming.Learn about the most popular VSCode extensions and even build and test your own extension.Use Remote capabilities of VSCode inside VMs and Docker.Learn Source and version control with Visual Studio Code and GitHub. Learn about Basic Git commands and VSCode authentication for remote pushing.Learn about advanced Visual Studio Code features like profiles or multi-cursor.Course features list:Installation and setupVSCode interface guideCommand palette, key shortcuts, multi-cursorVSCode extensionsAdvanced debugging techniquesUse VSCode for web development: HTML, CSS and JSConnect from VSCode with remote SSHUse Docker and develop inside a containerUnderstand Markdown and JSDocVSCode for Python developmentCreate Java projects with VSCodeUse VS Code for C++ and C#Build a VSCode extension with a data service using TypeScriptMaster great extensions, like live share, Git lens, Code Runner, Remote Development and many moreVisual Studio Code tips and tricksHistory of VSCodeYou can practice VS Code with your own JavaScript/TypeScript project, or use the one provided by the instructor. The objective here is to help you understand deeply how VSCode works and how you can use it.This course stands out with many advantages and highlightsemanded topic – Visual Studio Code is the number one development tool of the momentDownloadable resources – all files used in the course are available for downloadUpdated content – completely updated for 2024 Concise content with respect for your time – most of the typing and idle times are cut. The course focuses on explanationsBeyond the basics structure: Visual Studio Code has great and up to date documentation. This course doesn’t just walk you through it, instead it focuses on the difficult or weird parts, where you actually need guidanceExperienced and programming active instructor: a great teacher never looses touch with the industry. This is especially true for software development, where the industry is so dynamic. This helps the instructor stay up to date with the best coding guidelines and present you the challenging parts, not the "hello world"Great visuals – dark background, big font, 1080p resolution. Video optimized even for mobile devices.Certificate of completionEnroll and unlock the key to great productivity, no matter what technology you develop!

Who this course is for:
Web programmers and designers who want to use the best code editor, Experienced Python, Java or C++ programmers who want to switch to VSCode, IT professionals that need assistance with their text files (markdown, YML, JSON)

For More Courses Visit & Bookmark Your Preferred Language Blog
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Mastering The System Design Interview


Mastering The System Design Interview
Last updated 8/2024
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 1.19 GB | Duration: 4h 48m​

Insider tips for your system design interview from a former Amazon hiring manager – plus 6 mock interviews for practice!

What you’ll learn
Practice working through real-world system design interview questions
Apply horizontal scaling to transactions, data storage, analytics, and databases
Choose appropriate algorithms and data structures for system designs
Structure your interview responses to ensure the best outcomes
Approach system design problems from the right angles, and with the right questions.
Address the soft skills your interviewer is secretly evaluating you on

Requirements
Some prior experience in system architecture and computer science is expected.

Description
Ace your next systems design interview! Get tips, tricks, and practice interviews with a former hiring manager from Amazon, who interviewed thousands of software engineers and hired hundreds. Frank Kane will share the secrets of what your interviewer is looking for and the technologies you’re expected to know. Practice makes perfect, so you’ll also get six mock system design interviews with real-world interview questions from the biggest tech employers.A technical interview loop is a demanding process, and the system design part is often the most challenging. This course gets you prepared, and maximizes your odds of landing a new job that could change your life.About 5 hours of on-demand video content will cover what you need to know before starting your next interview:Techniques for scaling distributed systems and service fleetsDatabase technologies and "NoSQL" solutionsUse of caching to improve scalability and performanceDesigning for resiliency and handling failuresDistributed storage solutionsA review of algorithms and data structuresProcessing big data with Apache SparkAn overview of cloud computing resourcesInterview strategies for structuring your system design interviewSix full mock interviews with real-world system design interview questionsGeneral tips and tricks for a successful technical interviewWe’ll cover topics in high-level design and low-level design, software architecture, and more.This course is for experienced software engineers who need some extra preparation prior to a challenging system design interview. Enroll now, and you’ll have every advantage going into your next tech interview!Don’t take our word for it – check out this note sent to us by a learner in this course:"Interview prep is even more challenging without proper guidance. This course was a real saver because I was asked every concept that the course discussed. The mock interview was helpful enough to practice your learnings for real world problems. I was able to ace my system design portion of interview and got my offer at Amazon.As a non-CS major student, I struggled to find good resources. The instructor was actually from Amazon and had real interview questions. He focuses on skills that really matter on the interview rather than hacky tricks. You will lose nothing on this course because you will grow a lot regardless of the interview result. And. this course will remain as a strong guide what to focus on more."

Who this course is for:
Experienced software engineers or architects preparing for challenging system design interviews at big tech companies.

For More Courses Visit & Bookmark Your Preferred Language Blog
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Mastering Python Object-Oriented Programming: Generative AI


Last updated 11/2025 Created by Metla Sudha Sekhar MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English + subtitle | Duration: 50 Lectures ( 4h 49m ) | Size: 2.51 GB​

Advance Your Python OOP Skills like Inheritance to Create Smarter Apps Using Generative AI Techniques : Code Reusing

What you’ll learn
Master Principles And Understanding Of Object Oriented Programming In Python
Learn About 4 Pillars Of Object Oriented Programming!
You Will Learn How To Reuse Code For New Projects Implementations
Participate on Coding Exercises to test your real time learning skills
Implement real-world AI projects using Generative AI techniques
Apply OOP to build intelligent systems with OpenAI ChatGPT, and other free AI tools
Understand how to structure Python code for automation, scalability, and performance

Requirements
You Should Be Familiar With Basic Python Fundamentals
No prior AI experience needed, You will learn everything you need to know on OOPs
No programming OOPs experience needed. You will learn everything you need to know
A computer with internet access

Description
Are you ready to take your Python skills to the next level and dive into the world of Generative AI? This course, Mastering Python Object-Oriented Programming: Generative AI, is designed to help you build powerful, modular, and scalable applications using Python’s OOP capabilities – with a focus on applying them to real-world AI projects.In this hands-on course, you’ll start by mastering the core pillars of Object-Oriented Programming in Python, including classes, objects, inheritance, encapsulation, polymorphism, and abstraction. Then, you’ll learn how to apply these concepts using free generative AI tools to build intelligent applications such as AI writers, chatbots, and more.This course is ideal for intermediate Python learners, developers, and AI enthusiasts who want to understand how to build smarter software using OOP and modern AI technologies. You’ll work on practical projects that combine clean code architecture with AI functionality – giving you skills that are highly valued in today’s tech industry.Whether you’re a Python developer, data science enthusiast, or AI beginner, this course bridges the gap between traditional programming and next-gen AI development. You’ll learn how to design clean, reusable, and modular code structures and bring them to life in real-world Generative AI projects using free tools like OpenAI APIs, and Python libraries.By the end of this course, you’ll not only have a solid foundation in Object-Oriented Programming, but also the ability to implement AI-powered features such as text generation, summarization, and more. The course includes hands-on coding exercises, project-based learning, and real use cases to ensure practical understanding.This is the ideal course if you’re looking to upgrade your Python skills, improve your software design practices, or break into the growing field of Generative AI development. It’s also perfect for developers who want to future-proof their coding skills by learning how OOP principles support AI scalability and maintainability.Enroll now and take the next step in your Python journey. Start building real-world AI solutions with confidence – using Object-Oriented Programming and the power of Generative AI.

Who this course is for
Master Python OOP using Generating AI like ChatGPT
Beginner Python developers curious about data science and AI
Anyone who want learn Python skills on Object Oriented Programming (OOPs)
Anyone who want to grasp the concept with real world example coding
Anyone who wants to become a Full stack web developer with AI
Anyone who wants to become independent programmer

Welcome to – Check it Every Days
If you have any troubles with downloading, PM me

Happy Learning!!


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Mastering PromeTheus And Grafana (Including Loki & Alloy)


Mastering Prometheus And Grafana (Including Loki & Alloy)
Last updated 5/2024
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 1.51 GB | Duration: 8h 3m​

Observability with Prometheus, Grafana, Grafana Loki and Alloy – Includes Opentelemetry

What you’ll learn
Installing Prometheus on Windows, Linux, and Mac
Pushing Metrics to Prometheus
Visualizing Metrics in Prometheus
Functions and Aggregation Operators in Prometheus
Alerting in Prometheus
Defining Data Collection Rules for Faster Data Aggregation
Securing Prometheus with HTTPS and Authenticaiton
Installing Grafana on Windows, Linux, and Mac
Using Grafana to Visualize Prometheus Metrics
Securing Grafana with OAuth and Active Directory
Grafana Loki (Installationa & Use) to Collect and Analyse Logs

Requirements
Basic knowledge about IP, DNS and general networking concepts

Description
Are you looking for a Prometheus tutorial to teach you metric collection and monitoring using Prometheus and Grafana? Look no further!Prometheus is a free, powerful time-series database that monitors microservices and infrastructure (e.g., Kubernetes). Its flexible query language, PromQL, lets you record real-time metrics and generate valuable insights.This course is tailored for developers, DevOps Engineers, and Solution Architects who want to learn Prometheus and Grafana’s observability stack and apply it to their work.You’ll learn how to set up and configure Prometheus, Grafana, and Grafana Loki on Linux, Windows, and Mac, as well as with Docker. This powerful stack will enable you to collect metrics and logs and visualise them with professional-looking dashboards in Grafana.Prometheus is thoroughly explored in this course and covers Functions, Alerting, Recording Rules, Short-lived Jobs, Push Gateway, and Security. Grafana is also adequately covered with lectures that teach you how to install Grafana, create dashboards, create alerting rules, notify management, and administer Grafana.Metrics are not the only signal that matters in the realm of observability. Logs play a crucial role in identifying and, more importantly, diagnosing the root cause of the problems. That is why the course has a section specifically for Grafana Loki, Grafana Lab’s log collection and analysis tool.This course is continuously updated to make sure you will stay up-to-date with latest changes and additions of Grafana and Prometheus.

Who this course is for:
DevOps Engineers,Developers,Solution Architects

For More Courses Visit & Bookmark Your Preferred Language Blog
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Mastering kubectl with Kubernetes (The complete reference)

Year of manufacture : 2024
Manufacturer : Udemy
Manufacturer’s website : Code:Copy to clipboard

https://www.udemy.com/course/mastering-kubectl-with-kubernetes/

Author : Jamie Macdonald
Duration : ~11h
Type of material distributed : Video lesson
Language : En

Description : Welcome to "Mastering Kubectl with Kubernetes: A Complete Reference Guide"
Are you ready to take your Kubernetes skills to the next level? This comprehensive course is designed to be your ultimate guide to mastering Kubernetes using Kubectl, the powerful command-line tool that is essential for managing Kubernetes clusters.
What You’ll Learn:
Fundamentals of Kubernetes: Understand the core concepts and architecture of Kubernetes.
Kubectl Basics: Get hands-on experience with basic Kubectl commands and their usage.
Advanced Kubectl Techniques: Dive into advanced commands and scripting to automate complex tasks.
Real-World Applications: Learn how to apply your skills in real-world scenarios, from deployment to scaling and troubleshooting.
Best Practices: Discover best practices for managing and maintaining Kubernetes clusters efficiently.
Why This Course?
Comprehensive Coverage: From beginner to advanced, this course covers everything you need to know about Kubernetes and Kubectl.
Hands-On Learning: Engage in practical exercises and projects that reinforce your learning.
Expert Instructors: Learn from an industry expert with years of experience in Kubernetes and cloud-native technologies.
Whether you’re a developer, system administrator, or DevOps engineer, this course will equip you with the skills and knowledge to effectively manage Kubernetes clusters using Kubectl. Enroll now and start your journey to becoming a Kubernetes expert!
Content
00:45
00:49
02:45
Course Setup
03:27
05:50
Course Documentation
02:48
14:01
Kubectl Expose Command
11:31
Kubectl run and expose knowledge test
2 questions
Kubectl Set Introduction
01:44
Kubectl Set Env Command for setting environment variables
13:56
Kubectl Set Image Command
10:39
Kubectl Set Resource Command
05:57
Kubectl Set Selector Command
04:25
Kubectl Set ServiceAccount Command
03:17
Kubectl Set Subject Command
03:31
Kubectl set knowledge test
2 questions
Kubectl Create Introduction
05:32
Kubectl Create Deployment Command
16:25
Kubectl Create ConfigMap Command
29:28
Kubectl Create Job Command
08:24
Kubectl Create CronJob Command
08:40
Kubectl Create Namespace Command
10:02
Kubectl Create Secrets Command
49:41
Kubectl Create ServiceAccount Command
13:44
kubectl create knowledge test
3 questions
Kubectl Explain Command
13:50
45:59
Kubectl Edit Command
20:19
Kubectl Delete Command
14:53
Basic commands intermediate knowledge test
5 questions
Kubectl Rollout Command
19:06
Kubectl Scale Command
09:40
Kubectl Autoscale Command
08:51
Deploy commands knowledge tests
4 questions
Kubectl Certificate Command
15:36
Kubectl Top Command
03:38
Kubectl Cordon Command
08:57
Kubectl Uncordon Command
03:08
Kubectl Drain Command
11:10
Kubectl Cluster-info Command
05:16
Kubectl Taint Command
04:56
Cluster Management Knowledge Test
4 questions
Kubectl Describe Command
17:23
Kubectl Logs Command
24:24
Kubectl Attach Command
10:31
Kubectl Exec Command
09:18
Kubectl Port-forward Command
09:25
Kubectl Cp Command
15:36
Kubectl Debug Command
17:42
Kubectl Events Command
10:22
Troubleshooting and Debugging Commands Knowledge Test
5 questions
Kubectl auth introduction
01:33
Kubectl Auth Can-i Command
10:18
Kubectl Auth Reconcile Command
10:16
Kubectl Auth Whoami Command
01:10
Kubectl Diff Command
08:54
Kubectl Apply Command
30:12
Kubectl Patch Command
09:49
Kubectl Replace Command
06:24
Advanced Commands Knowledge Test
4 questions
Kubectl Label Command
15:59
Kubectl Annotate Command
11:57
Kubectl Completion Command
03:59
Settings Commands Knowledge Test
3 questions
Setting up online K8’s
02:48
Kubectl Api-versions Command
04:20
Kubectl Api-resources Command
04:20
Kubectl Plugin Command
10:33
Kubectl Version Command
01:55
Other Commands Knowledge Test
2 questions
Example files : not provided
Video format : MP4
Video : AVC, 1280×720, 16:9, 30fps, ~700kbps
Audio : AAC, 48kHz, 128kbps, stereo

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Udemy – Mastering kubectl with Kubernetes (The complete reference) (4.42 GB)

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Mastering Hoshin Kanri Policy Deployment Guide


1.47 GB | 13min 15s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English​
Files Included :
1 Table of Contents.mp4 (7.18 MB)
2 What is Strategy Deployment.mp4 (38.29 MB)
3 The Strategic Management Landscape.mp4 (112.23 MB)
4 When Should You Consider Strategy Deployment Training.mp4 (13.05 MB)
5 Strategy Deployments basic theory.mp4 (81.4 MB)
6 Developing a Clear Strategic Vision.mp4 (79.65 MB)
7 Common Strategy Deployment Pitfalls.mp4 (64.15 MB)
8 Agile Strategy Deployment.mp4 (62.7 MB)
9 Strategy Deployment Workshop.mp4 (66.35 MB)
10 Emerging Trends and Course Capstone Project.mp4 (56.05 MB)
11 Strategic Planning Methodologies.mp4 (76.49 MB)
12 Aligning Goals with Strategy Understanding the X-Matrix Framework.mp4 (42.16 MB)
13 Strategy Deployment Template Preparation Hands on.mp4 (65.34 MB)
14 How to Connecting the Dots Aligning Mission, Goals, and Actions with X-Matrix.mp4 (74.61 MB)
15 Overview of action plan template.mp4 (78.3 MB)
16 Preparation of X-matrix levels diagram hands on exercise.mp4 (83.98 MB)
17 How to prepare the top level x-matrix progress chart.mp4 (86.64 MB)
19 How to prepare the action plan.mp4 (116.85 MB)
20 How to prepare the action Plan part-2 timeline and status updating.mp4 (70 MB)
21 Pre-Hands on Training of CMS Preparations-1.mp4 (44.31 MB)
23 Counter measure preparation linked to Action Plan failure hands on exercise.mp4 (120.92 MB)
24 Closing Remarks Bonus Lecture.mp4 (64.54 MB)]
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