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

Drop Link(s)
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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

Managing the Kubernetes API Server and Pods
MP4 | Video: AVC 1280×720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours | 421 MB
Genre: eLearning | Language: English​

It’s time to dig deeper into Kubernetes. You will learn about its API architecture and its internals, how to organize workloads, and look closely at the primary workload element in Kubernetes, the Pod.

It’s time to take your Kubernetes admin skills to the next level and dig into how to deploy and manage container-based applications in Kubernetes. In this course, Managing the Kubernetes API Server and Pods, you will gain the ability to deploy, manage, and troubleshoot container-based workloads in Kubernetes. First, you will learn how to use the Kubernetes API and API Server internals. Next, you will discover how to use labels, annotations, and namespaces to organize the largest workloads and how Kubernetes uses labels internally for its own operations. Finally, you will explore how to create, manage, and maintain healthy container-based applications with the primary Kubernetes workload construct, the Pod. When you’re finished with this course, you will have the skills and knowledge of creating and maintaining container-based workloads in Kubernetes.

Managing Kubernetes Controllers and Deployments
MP4 | Video: AVC 1280×720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours 40M | 288 MB
Genre: eLearning | Language: English​

Learn how to deploy and maintain applications using Kubernetes Controllers. In this course you’ll learn how to select a Controller for your workload, deploy it, and maintain your container-based applications in your Kubernetes cluster.

Let’s take your Kubernetes admin skills to the next level and continue along on your Certified Kubernetes Administrator (CKA) learning path. This course, Managing Kubernetes Controllers and Deployments, dives into the primary building block of Kubernetes-based applications: Controllers. In this course you will learn the critical skills for deploying and maintaining your self-healing applications in Kubernetes. The course covers Deployments, DaemonSets, StatefulSets, Jobs, and CronJobs. You’ll also learn how to select a Controller type for your workload, and how to deploy and maintain your container-based application in your Kubernetes cluster.

Released 9/2022 MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English + vtt | Duration: 1h 32m | Size: 256.7 MB​

Managing the encryption key, storage backend, and the upgrades of the hashicorp vault server is tricky. In this course, Managing HashiCorp Vault Server, you’ll learn all about the management of various aspects of the vault server right from its installation to its upgradation. First, you’ll explore how to manage the encryption key and the storage backend. Next, you’ll discover how to troubleshoot the vault server during an incident. Finally, you’ll learn how to upgrade the vault server to a latest version. When you’re finished with this course, you’ll have the skills and knowledge of vault server needed to successfully administer it.

Welcome to – Check it Every Days
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Happy Learning!! Click to expand…

Managing Access and Secrets in HashiCorp Vault
Duration: 2h 39m | .MP4 1280×720, 30 fps(r) | AAC, 48000 Hz, 2ch | 398 MB
Level: Intermediate | Genre: eLearning | Language: English​

HashiCorp Vault provides centralized secrets management for users and applications, and helps you stop and eliminate secrets sprawl. In this course, Managing Access and Secrets in HashCorp Vault, you’ll learn how to install and work with authentication methods. First, you’ll explore access management and Vault tokens. Next, you’ll discover the auditing features Vault provides. Finally, you’ll learn how to leverage different secrets engines and storage backends that work seamlessly with Vault. When you’re finished with this course, you’ll have the skills and knowledge of leveraging Vault’s features needed to centralize secrets management for your organization or your customers.

Making Music In Bitwig: Mastering Drums
Published 10/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.04 GB | Duration: 4h 16m​

Sound Designing, Programming, Layering and Mixing Drums in Bitwig Studio

What you’ll learn

Deepen your Bitwig Knowledge

Improve your Mixing Skills

Learn Drum Sound Design

Record & Create Unique Percussion

Requirements

Basic Bitwig Knowledge recommended

Description

Welcome to my big course on drums, from sound design, over composition & texturing to mixing, this is my grand tour of different production techniques you can use to create better drum loops.We’ll be synthesizing kicks in the grid, talking about the theory and fundamental characteristics of snare drums, synthesizing them in phase 4 and then layering & processing them,we’ll be writing with hihat samples, synthesizing our own hihats with convolution and unison in the grid & then using modulators to humanize them,we’ll be recording our own percussions with household objects, synthesizing unique percussion loops and then sequencing them using the multi-sampling capabilities of sampler & audio editingand lastly we’ll write a proper drumloop, use bitwigs group clips system to efficiently write variations and fills, add risers and sfx to our drums and mixing them to make them sound great together.This course does expect some previous knowledge about Bitwig, its modulators, arrangement view etc, but by no means does it require you to be an expert already.If you’re completely new to Bitwig Studio, i would recommend taking my course on the Basics first tho. You can also try to follow this in another DAW, but that’ll be a bit more challenging because you’ll need to know it well enough to translate what I show you into that DAWs tools. It can be done, but it’s gonna take some extra thinking on your end. So yeah, i hope to see you in the course, there are a lot of fun techniques i have to show to you!

Overview

Section 1: Kick and Snare

Lecture 1 Making Kicks in the Grid

Lecture 2 The Anatomy of a Snare Drum

Lecture 3 Synthesizing Snares with Phase 4

Lecture 4 Layering Snares

Lecture 5 Processing Snares

Section 2: Hihats

Lecture 6 The easy way

Lecture 7 Complex Hihat Patterns with Noise and Convolution

Lecture 8 Fully Synthesizing Hi-Hats using E-hat or the Grid

Lecture 9 Humanizing Hihats with Modulation & Layering

Section 3: Percussion

Lecture 10 Recording your own Percs

Lecture 11 Creating Percussion Mudpies

Lecture 12 Sequencing Hits with Multisampling

Lecture 13 Quantizing, Chopping & Arranging Percussion Mudpies

Section 4: Programming & Mixing

Lecture 14 Writing a Drumloop

Lecture 15 A Quick Way to get Variations

Lecture 16 Cleaning up & adding texture to the drumloop

Lecture 17 Mixing a Drumloop

Bitwig Users and beyond that want to learn more about Drums

Machine Learning with Python Data Science for Beginners

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