Category: Tutorials

Year of release : 2021
Manufacturer : Udemy
Manufacturer’s website : Code:Copy to clipboard

https://www.udemy.com/course/master-load-balancing-with-haproxy/

Author : Amir Kamali
Duration : ~13h
Type of material distributed : Video lesson
Language : En

In this course, we will learn about Load balancer concepts and its advantages specifically HAProxy.
HAProxy is flexible, fast and reliable open source software which can provide us with reverse proxy and load balancing ability.
We will conceptually talk about different aspects of HAProxy and load balancing.For each topic we will bring up lab environments by Vagrant and practice what we have learned and we verify the results to meet our expectations.Our basic topic includes:
HAProxy installation
HAProxy basic configuration sections
HTTP mode
TCP mode
Non Default ports
We then move to more advanced topics including:
ACL
Logging
SSL termination
HA
Health check and server failure detection
I also added a section on how to automate HAProxy installation and configuration with Ansible at the end of the course(This section is completely optional).
The only prerequisite for this course is basic familiarity of Linux commands, and layers of TCP/IP stack specially TCP protocol and above.
You need a laptop with some tools installed including text editor of your choice,Vagrant,Virtual box.We may also install additional tool during some lectures.
This course is suitable for all system administrator who are willing to learn about load balancer and its applications.Even if you job requires you to work in cloud environment like AWS or Azure, you will gain solid understanding of LB and you could easily adjust your knowledge and apply it in those environments.
Content
11:25
13:46
Benefits of Load Balancer
06:26
23:03
24:54
Preparing Apache Server
12:07
08:59
Miscellaneous
10:05
LB Algorithms
24:39
Non-Default Part 1
15:36
Non-Default Part 2
12:28
SELinux
04:58
TCP Mode Part 1
08:26
TCP Mode Part 2
15:25
Stat Page
10:37
Logging Part 1
17:24
Logging Part 2
19:20
18:57
ACL Part 2
17:45
ACL Part 3
21:59
ACL Part 4
24:36
ACL Part 5
16:59
Lab Setup 1
21:48
Lab Setup 2
16:43
Lab Setup 3
14:44
Fixing DB Issue
19:07
Fixing Persistence
15:02
ACL Lab 1
23:16
ACL Lab 2
18:41
ACL Lab 3
24:02
Health Check
22:20
Health Check Lab
10:30
HAProxy API
18:53
KeepAliveD
25:37
VRRP
12:49
VRRP Deep Dive
16:27
SSL Termination
10:24
Generating Certificate
25:27
Finetune SSL
14:34
Setting Up CA
36:11
Enabling SSL for Express App
13:43
SSL Re-encryption
26:30
SSL Passthrough
04:32
Bringing Up the Environment
19:30
Walk-through of Ansible Code
22:36
Automated Testing
09:56
Example files : present
Video format : MP4
Video : AVC, 1280×720, 16:9, 30fps, ~1900kbps
Audio : AAC, 44.1kHz, 128kbps, stereo

Udemy – Master Load Balancing with HAProxy (6.78 GB)
RapidGator Link(s)
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https://rapidgator.net/file/5c94a032f1b9067f9f68f49d550201c8/Udemy.-.Master.Load.Balancing.with.HAProxy.part1.rar
https://rapidgator.net/file/6422eaf3658ca9ac7def1e8f0bcf7a4d/Udemy.-.Master.Load.Balancing.with.HAProxy.part2.rar
https://rapidgator.net/file/09fcce173199219c46b2c653ffa14058/Udemy.-.Master.Load.Balancing.with.HAProxy.part3.rar
https://rapidgator.net/file/887f07cb579c12aa59593dfc919e3c1d/Udemy.-.Master.Load.Balancing.with.HAProxy.part4.rar

Drop Link(s)
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https://drop.download/gl0fwmi2z92r/Udemy.-.Master.Load.Balancing.with.HAProxy.part1.rar
https://drop.download/ynqjpfafv92h/Udemy.-.Master.Load.Balancing.with.HAProxy.part2.rar
https://drop.download/rt5299l150bv/Udemy.-.Master.Load.Balancing.with.HAProxy.part3.rar
https://drop.download/tatcdgd6h080/Udemy.-.Master.Load.Balancing.with.HAProxy.part4.rar

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

https://www.udemy.com/course/master-istio-service-mesh-kubernetes-strategies-training

Author : Muhammad Muheeb
Duration : ~2h45m
Type of material distributed : Video lesson
Language : En
Описание: This course is not a replacement for the official materials you need for the certification exams. It is not endorsed by the certification vendor. You will not receive official study materials or an exam voucher as part of this course.
In this course, you’ll dive deep into Istio, a powerful service mesh designed to simplify and secure the management of microservices in modern cloud-native applications. The course begins by exploring what Istio is, why it’s essential for managing microservices, and the key components of its architecture, such as Pilot, Mixer, and Envoy, which work together to handle service discovery, traffic management, and security.
Istio is an open-source service mesh platform designed to simplify and manage the communication between microservices in distributed applications. It provides a way to control how services interact over the network, making it easier to manage complex microservice architectures.
Istio achieves these functions by deploying a sidecar proxy (using Envoy) alongside each service. The sidecar intercepts all network communication, enabling control over traffic without requiring any changes to the actual service code. This makes Istio a powerful tool for managing microservices at scale in cloud-native environments.
You’ll gain a solid understanding of how Istio identifies and tracks services within the mesh, manages traffic routing, and enforces security policies, all while providing observability through built-in features like metrics, tracing, and logging. The course also covers critical concepts like mutual TLS, role-based access control (RBAC), and authorization policies, which help secure service-to-service communication in an Istio environment.
Next, you’ll explore advanced topics such as traffic management in depth, focusing on Envoy Proxy, virtual services, destination rules, load balancing, and canary deployments using traffic splitting and mirroring. The course also delves into how Istio handles external traffic through gateways and ingress resources, giving you full control over the flow of requests into your microservices.
Additionally, the course addresses the management and configuration of Istio, covering essential configuration files, ConfigMaps, and custom resource definitions (CRDs). You’ll learn how to deploy and manage Istio across multiple clusters, inject sidecar proxies into pods, and apply circuit-breaking patterns to improve the reliability of your services.
Throughout the course, real-world use cases and best practices are emphasized, ensuring that you can confidently deploy and manage Istio in production environments.
Whether you’re looking to improve service reliability, enhance security, or streamline observability, this comprehensive course will equip you with the skills needed to fully harness the power of Istio in managing microservices at scale.
Content
04:01
The Need for Service Mesh
04:31
Istio Architecture Overview
05:06
Service Discovery in Istio
05:30
Traffic Management in Istio
06:49
06:52
Observability in Istio
06:28
Understanding Envoy Proxy
06:20
Virtual Services and Destination Rules
06:11
Load Balancing and Failovers
05:21
Traffic Splitting and Mirroring
06:41
Mutual TLS
06:51
Role-Based Access Control (RBAC)
06:45
Authentication Policies
06:24
Authorization Policies
06:27
Metrics Collection in Istio
08:29
Distributed Tracing in Istio
07:25
Log Aggregation and Access Logs
07:49
Istio Control Plane Overview
07:06
Understanding Istio Configurations
07:04
Istio Gateway and Ingress
07:37
Istio Service Mesh Across Multiple Clusters
08:58
Sidecar Proxy Injection
07:01
Circuit Breaking in Istio
06:05
Best Practices for Istio Deployment
07:56
Example files : not provided
Video format : MP4
Video : AVC, 1920×1080, 16:9, 30fps, ~1500kbps
Audio : AAC, 44.1kHz, 62.8kbps, stereo

Udemy – Master Istio Service Mesh Kubernetes Strategies Training (2.25 GB)

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https://drop.download/otyc5hph5cec/Udemy.-.Master.Istio.Service.Mesh.Kubernetes.Strategies.Training.part1.rar
https://drop.download/2r14gdy1g3rg/Udemy.-.Master.Istio.Service.Mesh.Kubernetes.Strategies.Training.part2.rar

RapidGator Link(s)
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https://rapidgator.net/file/2d85496378191b177cc3dec7d0de1a5b/Udemy.-.Master.Istio.Service.Mesh.Kubernetes.Strategies.Training.part1.rar
https://rapidgator.net/file/a5e2a686444bc73e82649d32e97752f9/Udemy.-.Master.Istio.Service.Mesh.Kubernetes.Strategies.Training.part2.rar

Master HTML for Modern Web Design: Front End Web Development
Published 1/2026
Duration: 3h 9m | .MP4 1920×1080 30fps(r) | AAC, 44100Hz, 2ch | 840.96 MB
Genre: eLearning | Language: English​

Build Professional Websites Using HTML, Web Design Principles And Front End Web Development.

What you’ll learn

• My First HTML Coding
• Elements
• Attributes
• Headings
• Paragraphs
• Styles
• Text Formatting
• Quotation and Citation Elements
• Comments
• Colors (RGB, HEX, HSL)
• Links (Different Links Colors, Create Bookmarks)
• Images, Favicon and Page Title
• Tables (Borders, Sizes, Headers, Padding & Spacing, Colspan & Rowspan, Styling, Colgroup)
• Lists (Unordered Lists, Ordered Listsm, Other Lists)
• Block and Inline Elements
• Div Element
• Class and ID Attribute
• Iframes
• Head Element
• Layout Elements and Techniques
• Responsive Web Design
• Forms(Text Fields, Radio Buttons, Checkboxes, Submit Button) and more…

Requirements
– No prior coding experience is required. Everything is explained clearly and progressively.

Description
Welcome to Master HTML for Modern Web Design: Front End Web Development

HTMLis the foundation of the web and the first essential skill for anyone interested inWeb DesignandFront End Web Development. In this course, you’ll learn how to useHTMLto structure professional, accessible, and well-organized websites from scratch.

This course is designed for complete beginners as well as aspiring web designers and front end developers who want a strong, practical foundation. You’ll start with HTML basics and gradually move into real-world web design concepts, best practices, and modern front end workflows.

Rather than memorizing tags, you’ll understand how HTML works, why structure matters in web design, and how HTML connects withCSSand JavaScript infront end web development.

What You’ll Learn

HTML fundamentals: elements, tags, attributes, and structure

How to build clean, semantic HTML for modern web design

Page layout structure using headers, sections, articles, and footers

Forms, tables, images, links, and multimedia elements

Best practices for accessibility and SEO-friendly HTML

How HTML works with CSS and JavaScript in front end web development

Organizing files and building multi-page websites

Real-world workflows used by front end developers

Why This Course?

This course focuses on practical skills, not just theory. You’ll build real web pages while learning how professional web designers and front end developers structure their projects.

You’ll benefit from:

Clear, step-by-step explanations

Beginner-friendly lessons with real examples

Modern HTML standards and best practices

Hands-on exercises to reinforce learning

No prior coding experience is required. Everything is explained clearly and progressively.

By the End of This Course

You will be able to:

Create well-structured, professional HTML web pages

Understand core web design principles and layout structure

Build the foundation for front end web development

Confidently move on to CSS and JavaScript

If you want to start your journey in Web Design and Front End Web Development, mastering HTML is the perfect first step-and this course will guide you every step of the way.

Who this course is for:

• Beginners who want to learn HTML from scratch.
• Aspiring web designers and front end developers.
• Students interested in web design fundamentals.
• Freelancers who want to build or improve websites.

More Info

Master Guitar Pentatonic’S – Create A Unique Sound
Last updated 12/2020
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.98 GB | Duration: 3h 55m​

Master The Pentatonic Scale In ALL Positions!

What you’ll learn
Guitar pentatonic scales, how to play guitar, master guitar pentatonic scales, how to play guitar solos
How to write guitar solo’s using the pentatonic scale
Requirements
A desire to play guitar, a desire to learn guitar pentatonic scales, a desire to learn lead guitar techniques
Description
Are you tired, and bored of playing the same old pentatonic blues licks?Are you feb up with your improvisations never sounding creative, and your solos sounding like every other solo using the pentatonic scale?If so, this course is for you!This course is designed to take you from novice to master! With almost 4 hours of video lessons and over 100 tabs, you will learn everything you need to know to create mind blowing guitar solos and improvisations using the pentatonic scale. You will learn all 5 positions of the pentatonic scale, and multiple techniques not taught by anyone else, in order to create a unique sound with your solos and improvisations. On top of that, you’ll learn the complete solo as shown on the introduction video, all of the positions of the Blues Scale and take your playing and knowledge of the pentatonic scale to a whole new level.Techniques you will learn:Sweep picking pentatonic scalesString skipping within pentatonic’sDiagonal pentatonic scales in all 5 positionsTapping licks using pentatonic scalesHybrid picking licks within the 5 pentatonic shapesThere are a million lessons online on how to play the pentatonic scale, and use it in your solo’s, but no other course will show you these techniques or approaches.

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 The Pentatonic Scales – Position 1

Lecture 3 Pentatonic Position 2

Lecture 4 Pentatonic Position 3

Lecture 5 Pentatonic Position 4

Lecture 6 Pentatonic Position 5

Lecture 7 How To Find The Pentatonic Scale In All Positions

Section 2: The Blues Scale

Lecture 8 The Blues Scale

Section 3: The "High-Low" Concept – A Theme Throughout This Course

Lecture 9 The "High-Low" Concept

Section 4: Technique Number 1 – Right Direction Runs

Lecture 10 Right Direction Runs – Position 1

Lecture 11 Right Direction Runs – Position 2

Lecture 12 Right Direction Runs – Position 3

Lecture 13 Right Direction Runs – Position 4

Lecture 14 Right Direction Runs – Position 5

Section 5: Reverse Direction Runs

Lecture 15 Reverse Direction Runs – Position 1

Lecture 16 Reverse Direction Runs – Position 2

Lecture 17 Reverse Direction Runs – Position 3

Lecture 18 Reverse Direction Runs – Position 4

Lecture 19 Reverse Direction Runs – Position 5

Section 6: Hammer & Pull Off Runs

Lecture 20 Hammer & Pull Off – Position 1

Lecture 21 Hammer & Pull Off – Position 2

Lecture 22 Hammer & Pull Off – Position 3

Lecture 23 Hammer & Pull Off – Position 4

Lecture 24 Hammer & Pull Off – Position 5

Section 7: String Skipping

Lecture 25 String Skipping – Position 1

Lecture 26 String Skipping – Position 2

Lecture 27 String Skipping – Position 3

Lecture 28 String Skipping – Position 4

Lecture 29 String Skipping – Position 5

Section 8: 3 String Sweeps

Lecture 30 3 String Sweeps – Position 1

Lecture 31 3 String Sweeps – Position 2

Lecture 32 3 String Sweeps – Position 3

Lecture 33 3 String Sweeps – Position 4

Lecture 34 3 String Sweeps – Position 5

Section 9: 4 String Sweeps

Lecture 35 4 String Sweeps – Position 1

Lecture 36 4 String Sweeps – Position 2

Lecture 37 4 String Sweeps – Position 3

Lecture 38 4 String Sweeps – Position 4

Lecture 39 4 String Sweeps – Position 5

Section 10: 6 String Sweeps

Lecture 40 Six String Sweeps – Position 1

Lecture 41 Six String Sweeps – Position 2

Lecture 42 Six String Sweeps – Position 3

Lecture 43 Six String Sweeps – Position 4

Lecture 44 Six String Sweeps – Position 5

Section 11: Sliding!

Lecture 45 Sliding – Position 1

Lecture 46 Sliding – Position 2

Lecture 47 Sliding – Position 3

Lecture 48 Sliding – Position 4

Lecture 49 Sliding – Position 5

Section 12: Skip Step Technique

Lecture 50 Skip Step – 1st Variation

Lecture 51 Skip Step – 2nd Variation

Lecture 52 Skip Step – 3rd Variation

Lecture 53 Skip Step – 4th Variation

Section 13: 2-1-2 Technique

Lecture 54 2-1-2 – Position 1

Lecture 55 2-1-2 – Position 2

Lecture 56 2-1-2 – Position 3

Lecture 57 2-1-2 – Position 4

Lecture 58 2-1-2 – Position 5

Section 14: Tapping Using Pentatonics

Lecture 59 Tapping

Section 15: Bending

Lecture 60 Bending

Section 16: Time To Learn The Solo!!

Lecture 61 This lesson will walk you through the solo!

beginner guitar players, intermediate guitar players, advanced guitar players, guitarists

Master Go (Golang): Build Scalable Web Applications
Published 7/2025
Duration: 3h 15m | .MP4 1280×720 30 fps(r) | AAC, 44100 Hz, 2ch | 1.27 GB
Genre: eLearning | Language: English​

A complete guide to building scalable web applications using Go – from beginner basics to advanced backend features.

What you’ll learn

• Key features and advantages of Go
• Installing and setting up the Go development environment
• Writing and running your first Go program
• Go syntax and structure
• Variables, constants, and data types
• Basic operators and expressions
• Conditional statements: if, else, switch
• Understanding Go’s unique approach to loops
• Function parameters and return values
• Defer, panic, and recover: Managing control flow
• Arrays and slices: Differences and best practices
• Go’s approach to OOP: Structs and methods
• Lightweight threads in Go
• Communication between goroutines
• Reading and writing files
• Working with JSON and XML data
• Handling file errors gracefully
• Database connectivity
• Using the database/sql package
• CRUD operations with MySQL/PostgreSQL

Requirements

• Basic understanding of programming concepts.
• No prior Go experience is required

Description
Are you ready to build high-performance, scalable, and robust web applications with one of the most in-demand programming languages?

Go (Golang) is rapidly becoming the language of choice for building modern, concurrent, and efficient systems, from microservices to large scale web platforms. Companies like Google, Uber, Twitch, and Dropbox rely on Go for its speed, simplicity, and excellent concurrency model. If you’re looking to elevate your backend development skills and future proof your career, this is the course for you!

In this comprehensive course, you’ll go from Go beginner to confident Go developer, equipped to build professional grade web applications. We’ll cover everything from the fundamentals of the Go language to advanced topics like concurrency, database interactions, API development, and deployment strategies.

What You’ll Learn

Go language fundamentals (types, functions, structs, interfaces)

How to build web servers using Go’s powerful net/http package

Routing, middleware, and request handling

Build and consume RESTful APIs

Working with databases (SQL & NoSQL) using Go

Secure authentication and user sessions

Application architecture and modular design

Testing and debugging Go web applications

Deploying Go apps to production (Docker, cloud services)

Course Features

Step-by-step, hands-on coding tutorials

Real-world projects you can use for your portfolio

Clear explanations of Go’s concurrency model and how it scales

By the end of this course, you’ll have a strong portfolio of Go web applications and the confidence to tackle real-world projects, whether you’re building microservices, APIs, or full-stack web platforms.

Enroll today and unlock the power of Go!

Who this course is for:

• Anyone curious about how Go powers real-world systems
• Developers new to Go and backend development
• Programmers transitioning from Python, Node.js, or Java
• Anyone looking to expand their skillset and become a more versatile software engineer.

More Info

Please check out others courses in your favourite language and bookmark them
– – – –

Master Apache Spark – Hands On!
Video: .mp4 (1280×720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 7.94 GB
Genre: eLearning Video | Duration: 31 lectures (6 hour, 54 mins) | Language: English

Learn how to slice and dice data using the next generation big data platform – Apache Spark!​

What you’ll learn

Utilize the most powerful big data batch and stream processing engine to solve big data problems
Master the new Spark Java Datasets API to slice and dice big data in an efficient manner
Build, deploy and run Spark jobs on the cloud and bench mark performance on various hardware configurations
Optimize spark clusters to work on big data efficiently and understand performance tuning
Transform structured and semi-structured data using Spark SQL, Dataframes and Datasets
Implement popular Machine Learning algorithms in Spark such as Linear Regression, Logistic Regression, and K-Means Clustering

Requirements

Some basic Java programming experience is required. A crash course on Java 8 lambdas is included
You will need a personal computer with an internet connection.
The software needed for this course is completely freely and I’ll walk you through the steps on how to get it installed on your computer

Description

Apache Spark is the next generation batch and stream processing engine. It’s been proven to be almost 100 times faster than Hadoop and much much easier to develop distributed big data applications with. It’s demand has sky rocketed in recent years and having this technology on your resume is truly a game changer. Over 3000 companies are using Spark in production right now and the list is growing very quickly! Some of the big names include: Oracle, Hortonworks, Cisco, Verizon, Visa, Microsoft, Amazon as well as most of the big world banks and financial institutions!

In this course you’ll learn everything you need to know about using Apache Spark in your organization while using their latest and greatest Java Datasets API. Below are some of the things you’ll learn:

How to develop Spark Java Applications using Spark SQL Dataframes

Understand how the Spark Standalone cluster works behind the scenes

How to use various transformations to slice and dice your data in Spark Java

How to marshall/unmarshall Java domain objects (pojos) while working with Spark Datasets

Master joins, filters, aggregations and ingest data of various sizes and file formats (txt, csv, Json etc.)

Analyze over 18 million real-world comments on Reddit to find the most trending words used

Develop programs using Spark Streaming for streaming stock market index files

Stream network sockets and messages queued on a Kafka cluster

Learn how to develop the most popular machine learning algorithms using Spark MLlib

Covers the most popular algorithms: Linear Regression, Logistic Regression and K-Means Clustering

You’ll be developing over 15 practical Spark Java applications crunching through real world data and slicing and dicing it in various ways using several data transformation techniques. This course is especially important for people who would like to be hired as a java developer or data engineer because Spark is a hugely sought after skill. We’ll even go over how to setup a live cluster and configure Spark Jobs to run on the cloud. You’ll also learn about the practical implications of performance tuning and scaling out a cluster to work with big data so you’ll definitely be learning a ton in this course. This course has a 30 day money back guarantee. You will have access to all of the code used in this course.

Who this course is for:

Anyone who is a Java developer and want’s to add this seriously marketable technology on their resume
Anyone who wants to get into the data science field
Anyone who is interested in into the world of big data
Anyone who wants to implement machine learning algorithms in spark

For More Courses Visit & Bookmark Your Preferred Language Blog
From Here: – – – – – – – –

Download Links

Master Apache Spark – Hands On!
Video: .mp4 (1280×720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 7.94 GB
Genre: eLearning Video | Duration: 31 lectures (6 hour, 54 mins) | Language: English

Learn how to slice and dice data using the next generation big data platform – Apache Spark!​

What you’ll learn

Utilize the most powerful big data batch and stream processing engine to solve big data problems
Master the new Spark Java Datasets API to slice and dice big data in an efficient manner
Build, deploy and run Spark jobs on the cloud and bench mark performance on various hardware configurations
Optimize spark clusters to work on big data efficiently and understand performance tuning
Transform structured and semi-structured data using Spark SQL, Dataframes and Datasets
Implement popular Machine Learning algorithms in Spark such as Linear Regression, Logistic Regression, and K-Means Clustering

Requirements

Some basic Java programming experience is required. A crash course on Java 8 lambdas is included
You will need a personal computer with an internet connection.
The software needed for this course is completely freely and I’ll walk you through the steps on how to get it installed on your computer

Description

Apache Spark is the next generation batch and stream processing engine. It’s been proven to be almost 100 times faster than Hadoop and much much easier to develop distributed big data applications with. It’s demand has sky rocketed in recent years and having this technology on your resume is truly a game changer. Over 3000 companies are using Spark in production right now and the list is growing very quickly! Some of the big names include: Oracle, Hortonworks, Cisco, Verizon, Visa, Microsoft, Amazon as well as most of the big world banks and financial institutions!

In this course you’ll learn everything you need to know about using Apache Spark in your organization while using their latest and greatest Java Datasets API. Below are some of the things you’ll learn:

How to develop Spark Java Applications using Spark SQL Dataframes

Understand how the Spark Standalone cluster works behind the scenes

How to use various transformations to slice and dice your data in Spark Java

How to marshall/unmarshall Java domain objects (pojos) while working with Spark Datasets

Master joins, filters, aggregations and ingest data of various sizes and file formats (txt, csv, Json etc.)

Analyze over 18 million real-world comments on Reddit to find the most trending words used

Develop programs using Spark Streaming for streaming stock market index files

Stream network sockets and messages queued on a Kafka cluster

Learn how to develop the most popular machine learning algorithms using Spark MLlib

Covers the most popular algorithms: Linear Regression, Logistic Regression and K-Means Clustering

You’ll be developing over 15 practical Spark Java applications crunching through real world data and slicing and dicing it in various ways using several data transformation techniques. This course is especially important for people who would like to be hired as a java developer or data engineer because Spark is a hugely sought after skill. We’ll even go over how to setup a live cluster and configure Spark Jobs to run on the cloud. You’ll also learn about the practical implications of performance tuning and scaling out a cluster to work with big data so you’ll definitely be learning a ton in this course. This course has a 30 day money back guarantee. You will have access to all of the code used in this course.

Who this course is for:

Anyone who is a Java developer and want’s to add this seriously marketable technology on their resume
Anyone who wants to get into the data science field
Anyone who is interested in into the world of big data
Anyone who wants to implement machine learning algorithms in spark

For More Courses Visit & Bookmark Your Preferred Language Blog
From Here: – – – – – – – –

Download Links

Published 4/2025 Created by Terry Hui MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 48 Lectures ( 3h 22m ) | Size: 2.12 GB​

From n8n automations to AI agents-learn RAG agents, feedback loops, OAuth, and vibe coding with Cursor and MCPs.

What you’ll learn
Build powerful automation workflows and AI Agents using n8n.
Be familiar and comfortable with navigating n8n’s User Interface.
Understand n8n Core Concepts and Terminology, including Workflows, Nodes, Triggers, Actions, Credentials, and more.
Learn about Large Language Models (LLMs), including Open AI’s ChatGPT, Anthropic’s Claude, Deepseek by Deepseek AI, and Gemini by Google DeepMind.
Automate tasks on platforms like Google Sheets, Google Drive, Google Calendar, Asana, Telegram, Slack, and more.
Connect and communicate with APIs, vector databases, and cloud tools using no-code automations.
Migrate data securely and connect it to AI workflows using custom OAuth and integration frameworks.
Learn about the limitations of automations and n8n so you can be informed to help you choose the best platform for your operations.
Master OAuth 2.0 and streamline access token management for secure, scalable authentication.
Learn to implement function calling in AI agents to trigger real-world workflows and APIs.
Build real-time apps with Nango for effortless OAuth integration across platforms like Google, Notion, and more.
Automate agent workflows using Composio to connect tools and services with low-code logic.
Build and deploy AI agents with built-in context, memory, and execution layers.
Explore MCP (Model Context Protocol) to control agent behavior, memory scope, and contextual understanding.
Dive into the world of Vibe Coding – a new paradigm of intuitive, context-first programming for agent builders.
Push code confidently using GitHub workflows optimized for collaborative agent development.
Discover the future of AI with agentic systems: self-directed, context-aware, and goal-driven architectures.
Create your own AI agents from scratch – from access control to real-world actions – and deploy them in minutes.

Requirements
No experience needed. From no-code to low-code, all the way to advanced technical skill levels, all are welcome. Resources, official documentation, templates – everything will be provided in this zero to hero course.

Description
Unlock the power of AI Agents and workflow automation – no matter your skill level.This course is your complete guide to building smart, scalable, and production-ready AI Agents using n8n and modern tools. Whether you’re just starting out or looking to push the boundaries of automation and AI, this course will take you from zero to expert.We begin with the fundamentals of automation and AI agent design, walking you through hands-on tutorials using n8n, even if you’ve never built a workflow before. As you gain confidence, we gradually move into advanced builds and cutting-edge techniques used in real-world business environments.What You’ll Build & Learn:How to create your first AI-powered automation using n8n – beginner-friendly and fully explainedSet up Slack integrations, Vectorize AI, and API authentication (OAuth, API keys) for seamless data connectionsMaster RAG (Retrieval-Augmented Generation) with voice-powered input/output, and build agents that think and respond dynamicallyExplore MCP setup, Cursor integration, and how to use Nango for secure data and identity managementLearn prompt engineering, feedback loops, and recursive/reinforcement learning to continuously improve your agentsBuild powerful use cases like:A Personal Assistant Agent for daily tasksAn Inbox Manager workflow that handles emails automaticallyA Voice-to-AI Knowledge Retrieval Agent that you can speak to in real timeDevelop your own vibe coding style – creating elegant and personalized automation flows that feel intuitive and funGain the skills to design AI agents that support lead generation, customer service, financial reports, creative projects, and moreWhether you’re a marketer, entrepreneur, developer, analyst, or AI enthusiast, this course equips you with the tools and confidence to ship real-world AI automations that deliver value.Join now and future-proof your workflow with automation and AI – no coding background needed.

Who this course is for
For entrepreneurs and solo founders looking to streamline operations, save time, and scale with AI-powered automation.
For curious learners who want to explore cutting-edge tools and gain hands-on experience with no-code AI agents.
For anyone interested in building their own AI workflows-whether to boost productivity or launch a new AI-driven business.
For developers, analysts, and tech professionals who want to stay current with GenAI, automation frameworks, and intelligent agents.
For individuals who want to automate repetitive tasks and build smarter systems-no prior coding experience required.

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

Happy Learning!!

Year of manufacture : 2015
Manufacturer : LinkedIn Learning
Manufacturer’s website : Code:Copy to clipboard

https://www.linkedin.com/learning/

Posted by Evan Sutton
Duration : 3h35m
Type of material distributed : Video lesson
Language : En

Description :
MASSIVE is Native Instruments’ flagship digital synth; musicians all over the world use it to create music in the studio and on the stage. In this course, author Evan Sutton will dive deep into the instrument, including its flexible and powerful filters and routing, audio processing, and modulation features. He covers the basic signal flow and shows how to use MASSIVE’s wavetable system to create unique sounds. After processing those sounds with filters and modulators, Evan uses audio effects to sweeten and brighten the mix, and then brings the entire sound to life with MASSIVE’s macro controls and automation.
Content
Introduction:
Welcome
1m video
What you should know before watching this course
27s video
Using the exercise files
42s video
1. Digital Synthesis with MASSIVE:
Basic layout and signal flow
2m 9s video
Envelope setting and routing
5m 45s video
The oscillators, wavetables, and how to use them
6m 44s video
MASSIVE’s wavetables
8m 20s video
Bend modes
7m 17s video
Filter modes
7m 21s video
Alternate filter modes and modulation
16m 10s video
LFO (low-frequency oscillator)
11m 45s video
Envelope looping
9m 1s video
Stepper
10m 44s video
Performer
12m 34s video
Master settings and polyphony
17m 34s video
Modulation oscillator, part one: Ring mod
8m 22s video
Modulation oscillator, part two: Phase mod
8m 11s video
Modulation oscillator, part three: Position and filter FM
8m 42s video
Insert effects, part one: Distortion
7m 11s video
Insert effects, part two: Feedback and more
8m 59s video
Master effects
8m 47s video
Noise
7m 49s video
Macro control, part one: Incoming midi
7m video
Macro control, part two: Knobs
8m 48s video
Sidechaining
8m 40s video
Automating macros in Logic Pro
6m 49s video
Automating macros in Ableton Live
4m 6s video
Saving and naming
3m 41s video
Conclusion:
Next steps
1m 10s video
Example files : present
Video format : MP4
Video : MPEG-4 AVC, 1280x720p, 15fps, (16:9), ~800 kb/s
Аудио: AAC LC, 48kHz, 2 channels, 320kb/s, stereo

MASSIVE：Digital Synthesis (844.58 MB)
RapidGator Link(s)
Code:Copy to clipboard

https://rapidgator.net/file/064db77823c51609bfb50048c3d7e22f/MASSIVE：Digital.Synthesis.rar

Drop Link(s)
Code:Copy to clipboard

https://drop.download/6fics73uvo0s/MASSIVE%EF%BC%9ADigital.Synthesis.rar

Manus AI Mastery: Build Real-World Projects with AI Agents
Published 1/2026
Duration: 50m | .MP4 1920×1080 30fps(r) | AAC, 44100Hz, 2ch | 543.42 MB
Genre: eLearning | Language: English​

A step-by-step guide to using Manus AI agents for research, automation, content creation, and no-code app building.

What you’ll learn

• Execute large-scale data analysis using "Wide Research" to investigate market trends, competitors, and products in parallel
• Configure email-based agent triggers to automate research, study planning, and administrative tasks directly from your inbox
• Build functional web applications and internal tools without writing a single line of code
• Develop a "Content Factory" workflow to mass-produce structured educational materials or marketing assets
• Differentiate between traditional chatbots and autonomous AI agents to understand the paradigm shift toward execution-first AI.
• Master the Manus interface by correctly toggling between Chat Mode and Agent Mode to optimize credit usage and task efficiency.
• Adopt the "Manager Mindset" to effectively delegate complex, multi-step workflows to agents rather than writing single prompts.
• Automate financial data analysis to transform raw spreadsheets into actionable insights
• Create professional, studio-quality presentation decks using the Nano Banana Pro integration within Manus AI Slides.
• Implement "Human-in-the-Loop" verification strategies to ensure the accuracy, safety, and reliability of autonomous agent outputs.

Requirements
– No programming or technical experience is needed. This course relies entirely on Manus AI’s natural language interface and No-Code tools.

Description
Manus AI is not just another chatbot.

It is an AI agent platform that can research, automate tasks, build content, analyze data, and even create web apps for you.

In this course, you will learn how to use Manus AI the right way-not by chatting, but by thinking like a manager and assigning real work to AI agents.

This is a practical, step-by-step course designed for beginners, creators, freelancers, founders, students, and professionals who want to use Manus AI agents to do real work, not just generate text.

Manus AI Mastery is a project-based bootcamp designed to take you from a complete beginner to an AI Systems Architect. Unlike other courses that focus on "prompt engineering" for chatbots, this course teaches you the "Manager Mindset"-how to delegate complex, multi-step workflows to autonomous agents.

What You Will Learn

By the end of this course, you will be able to:

Master the Manus Interface:Understand the critical difference between Chat Mode and Agent Mode to save credits and maximize output.

Perform Research at Scale:Use Wide Research to analyze market trends, competitors, and financial data in parallel-doing a week’s worth of research in minutes.

Create Stunning Visuals:Generate professional presentation decks using the Nano Banana Pro integration within Manus AI Slides.

Build Software Without Code:Use the No-Code MVP Builder to deploy fully functional web apps and internal tools simply by describing them.

Automate Your Life:Set up Agent Triggers to automate research and study planning directly through email workflows.

Adopt the Agentic Mindset:Learn the art of Human-in-the-Loop verification to ensure high-quality, reliable outputs every time.

Course Curriculum Overview

This course is built around Real-World Projects, not just theory. You will watch over the shoulder of an expert as we build:

Foundation & Setup:We demystify the Paradigm Shift from Chatbots to Agents and look "Under the Hood" of Manus’s unique architecture.

Project 1: AI-Powered Market Research Agent:Build a bot that scours the web to deliver comprehensive competitive intelligence.

Project 2: Automated Industry Intelligence:Create a "Weekly Report Bot" that keeps you updated on your sector without you lifting a finger.

Project 3: Financial Data Analyst:Automate the extraction and analysis of complex financial data for instant insights.

Project 4: The AI Design Studio:Master Nano Banana Pro to generate editable, high-fidelity slides for your next big presentation.

Project 5: Content Factory:Build a system to generate language learning materials (or any educational content) at scale.

Project 6: No-Code SaaS MVP:Watch Manus write code, set up databases, and deploy a real web application from a single prompt.

Why Learn Manus AI Now?

Manus AI represents the next generation of AI tools-AI that acts, not just talks.

Manus has recently been acquired by Meta, and many new features are coming. Learning Manus AI now gives you a huge early advantage as agent-based AI becomes mainstream.

If you want to stay ahead in:

AI automation

AI agents

No-code development

Future-proof skills

This is the right time to learn Manus AI.

Enroll now and start building real-world projects with AI agents.

Who this course is for:

• Beginners curious about Manus AI
• Freelancers and consultants
• Founders and startup builders
• Content creators and educators
• Students and professionals
• Anyone who wants to automate work using AI agents

More Info