• views: 266
• date: 30 September 2026
• posted by: 0nelove

Advanced Network Forensics: Threat Hunting with Wireshark
Published 9/2026
Created by Learnsector LLP, Tushar Kanchan
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 27 Lectures ( 2h 13m ) | Size: 2.3 GB

Analyze PCAPs with Wireshark and tshark to isolate stealth C2, lateral movement, and stop enterprise breaches.

What you'll learn
⚡ Formulate testable hunt hypotheses using intelligence frameworks to uncover unflagged adversary persistence.
⚡ Engineer complex boolean Wireshark display filters to isolate anomalous TCP flag states and stealth port scans.
⚡ Profile network sessions using conversation tables and I/O graphs to detect covert rate-limited data exfiltration.
⚡ Reconstruct multi-stream TCP sessions and carve staged binaries to verify malicious payload hashes.
⚡ Evaluate TLS metadata and apply JA3, JA3S, and JA4 cryptographic fingerprints to unmask offensive toolkits.
⚡ Calculate Shannon entropy on outbound DNS traffic to identify automated domain generation algorithms and tunneling.
⚡ Audit SMB and DCE/RPC traffic streams to intercept administrative share abuse and PsExec service creation.
⚡ Uncover Kerberos ticket harvesting and cipher downgrade attacks by analyzing TGS-REQ packets and Event ID 4769.
⚡ Automate bulk PCAP triage pipelines with tshark, capinfos, and editcap to process multi-gigabyte captures.
⚡ Author defensible forensic incident reports and operationalize findings into production Suricata and Zeek rules.

Requirements
❗ Working knowledge of the TCP/IP protocol suite, standard networking concepts (IP addressing, subnets, routing), and core protocols (HTTP, DNS, TLS, SMB).
❗ Experience utilizing basic command-line environments (Linux/Unix shell or Windows PowerShell).
❗ Administrative workstation access capable of installing and running Wireshark, tshark, and related open-source network utilities.

Description
"This course contains the use of artificial intelligence."

Modern enterprise perimeters face sophisticated adversary evasion where endpoint detection and response (EDR) agents are blinded or bypassed via signed driver manipulation. While host telemetry degrades under kernel-level tampering, raw packet captures provide immutable evidentiary ground truth. Securing mission-critical infrastructure requires moving beyond reactive security operations center (SOC) triage queues toward hypothesis-driven network threat hunting.

This curriculum delivers an enterprise-grade framework for deep packet analysis, behavioral anomaly detection, and proactive hypothesis testing across high-throughput capture perimeters. Learners transition from passive observers to active forensic investigators, mastering raw protocol dissection, stream reassembly, binary carving, and statistical telemetry analysis. The content addresses mission-critical organizational needs, enabling teams to rapidly identify persistent compromise, contain lateral spread, and defend complex network topologies.

Key skills and technical competencies acquired include

✅ Master advanced Wireshark and tshark syntax to isolate covert communication channels.

✅ Evaluate cryptographic handshakes using JA3, JA3S, and JA4 fingerprinting frameworks.

✅ Uncover lateral movement sequences across SMB, DCE/RPC, WinRM, and Kerberos protocols.

✅ Quantify periodic Command-and-Control (C2) beaconing and mathematical sleep jitter.

✅ Detect DNS tunneling, Domain Generation Algorithms (DGA), and data exfiltration.

✅ Operationalize investigative findings into durable Suricata, Snort, and Zeek detection rules.

Frequently Asked Questions

What is hypothesis-driven threat hunting?

Hypothesis-driven threat hunting is a proactive security methodology where analysts assume network defenses have been bypassed. Investigators formulate testable, falsifiable behavioral questions based on threat intelligence and protocol baselines, querying raw packet telemetry to uncover persistent adversaries that evaded automated detection systems.

How does JA4 fingerprinting improve TLS traffic analysis?

JA4 improves TLS traffic analysis by sorting extensions and cipher suites alphabetically prior to hashing. This structure neutralizes client hash-randomization evasion techniques and generates human-readable protocol indicators, allowing security teams to identify offensive toolkits and rogue communication runtimes without performing full payload decryption.

Structured as an executive architecture briefing and applied forensic operational pipeline, this program bridges deep packet analysis with MITRE ATT&CK enterprise categorization, cross-source timestamp reconciliation, and legal chain of custody standards.

Updated for the 2025/2026 enterprise landscape, the course equips practitioners with resilient methodologies to triage multi-gigabit PCAP datasets, bypass modern obfuscation, and harden perimeter defenses.

Who this course is for
⭐ Enterprise SOC Analysts (Tiers 2 and 3) seeking to move from reactive alert triage to proactive hypothesis-driven network hunting.
⭐ Incident Response Engineers and Digital Forensics Specialists requiring packet-level proof to validate compromise and build defensible intrusion timelines.
⭐ Detection Engineers and Security Architects tasked with converting novel adversary techniques into resilient automated detection logic.
⭐ Network Security Professionals seeking to master deep packet dissection, traffic baselining, and covert channel identification.

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• views: 156
• date: 30 September 2026
• posted by: 0nelove

Microsoft Copilot for Accounting by Eduardo Aponte, PhD
Published 9/2026
Created by Eduardo Aponte, PhD
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 13 Lectures ( 1h 43m ) | Size: 1.2 GB

Automate financial reporting, accelerate reconciliations and optimize email communications using Microsoft Copilot AI

What you'll learn
⚡ Extract trends, highlight variances, and generate complex formulas in Excel using natural language.
⚡ Draft professional financial reports and board-ready presentations in minutes.
⚡ Compare datasets for faster reconciliations and build audit-ready documentation.
⚡ Design highly effective, accounting-specific prompts that deliver accurate results without hallucinations.

Requirements
❗ No previous experience is necessary.

Description
Welcome to Microsoft Copilot for Accounting.

Are you spending hours each month wrestling with manual reconciliations, drafting repetitive emails, or staring at a blank page when writing financial summaries? Want to elevate your role from data cruncher to strategic advisor? This course is built for finance professionals, auditors, and bookkeepers who want to eliminate tedious tasks and leverage AI to work faster and smarter.

You'll learn how to integrate Microsoft Copilot seamlessly into the tools you already rely on daily—focusing on Excel. We'll move past the hype and focus strictly on practical accounting workflows. Everything we cover is grounded in real-world finance scenarios and strict enterprise data privacy standards, ensuring your confidential information remains secure.

By the end, you'll be able to

· Extract trends, highlight variances, and generate complex formulas in Excel using natural language.

· Draft professional financial reports and board-ready presentations in minutes.

· Compare datasets for faster reconciliations and build audit-ready documentation.

· Design highly effective, accounting-specific prompts that deliver accurate results without hallucinations.

Actionable frameworks, prompt libraries, and hands-on labs will help you implement these AI strategies immediately—no prior coding or AI experience required.

If you're ready to trade manual data entry for high-value strategic analysis, hit Start—and transform your accounting workflow today.

Who this course is for
⭐ All

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• views: 142
• date: 30 September 2026
• posted by: 0nelove

Advanced Context Engineering: Systems, Evaluation & Research
Published 9/2026
Created by Superposition AI
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 62 Lectures ( 19h 16m ) | Size: 8.6 GB

Build, measure and test context systems for text, knowledge and agents, and check ideas from research yourself.

What you'll learn
⚡ Build context you can verify: extract text from PDFs, split documents, and assemble task packets whose claims trace to a file and a line.
⚡ Compare word search (BM25), embeddings, rank fusion and reranking on the same questions, and choose a method from measured evidence.
⚡ Chain dependent searches, add source-grounded context to chunks, and audit a small NetworkX graph against current permissions.
⚡ Manage long context with budgeted selection, checked shortening, handoffs after compaction, and caches whose keys include content and permissions.
⚡ Build memory with provenance, validity dates and lifecycle rules in SQLite, and test it across separate conversations.
⚡ Build a local MCP server with typed inputs, pagination and failure handling that does not invent answers.
⚡ Run long tasks with explicit state and checkpoints, resume after a stop, and measure whether several agents beat one.
⚡ Detect instructions hidden in data, keep sources through handoffs, and enforce permissions in code, testing for leaks and for over-blocking.
⚡ Evaluate systematically: test checkers against hand labels, catch regressions, run ablations, and improve instructions from feedback.
⚡ Read a research paper for its claim and limits, test its idea against fair baselines, and finish a system on a new domain with a sealed test.

Requirements
❗ Context Engineering, Part I, or equivalent comfort with the Codex CLI: working in a terminal with folders and files, and checking what a tool actually did. Lesson 1 assumes Codex is already installed and signed in.
❗ A Codex CLI account of your own. The lessons were recorded with GPT-6-Luna at medium reasoning, and results on a different setup may differ. Model usage counts against your account, and the course does not promise a fixed cost.
❗ A Linux (or other POSIX) shell, Python 3.12 and the uv package manager, which lesson 2 walks through installing. Git is added in lesson 6, and free Python packages such as pytest are installed as lessons need them. Only the Linux route was demonstrated.
❗ Willingness to read and run Python line by line. No programming knowledge beyond Part I is assumed, and Python starts in lesson 2, but the pace is fast and you may need to stop and look things up.
❗ Optional: an Alibaba Model Studio account with a Singapore-region API key for the live embedding and reranking calls in lessons 15, 16 and 18. Saved responses are supplied so you can follow without an account; live calls may be billed.
❗ Time for real work: lessons run from about 10 to about 42 minutes, and the first half of the course is the heaviest.

Description
This course contains the use of artificial intelligence.

Advanced Context Engineering is the advanced course that follows Context Engineering, Part I. It follows one idea through 60 lessons in 12 modules, about 19 hours in total: the context an AI agent works with is data that you assemble, check and measure. You start from a small baseline and finish with a complete system that you test on a sealed test set and defend with evidence.

Along the way you prepare documents and PDFs you can trust, assemble task packets whose claims trace to a file and a line, and compare word search, embeddings, rank fusion and reranking on the same questions. You build chained searches and a small graph, manage long context with budgets, handoffs and caches, and build memory with sources, dates and SQLite. You then build a local MCP server, run long tasks that can stop and resume, measure whether several agents help, plant instructions in data, enforce permissions in code, and build evaluation suites that catch regressions and show which component actually helped. The last modules cover reading a research paper and testing its idea, and a final project: a staff assistant for a fictional warehouse handbook.

Every lesson follows the same pattern: a short refresh, slides that explain the new idea, a continuous demonstration in Codex CLI, a close reading of the results, and a recap. Almost every lesson ends with an exercise and a solution to compare against. Lessons come with starter files and saved results and, in the later lessons, offline checks and scripted stand-ins that make no model calls, so you can inspect what was recorded before spending anything. The demonstrations use Codex CLI 0.156.1 with GPT-6-Luna at medium reasoning, and all data is synthetic, drawn from fictional organizations.

It is written for graduates of Part I and for people who write code or are ready to learn as they go. No programming knowledge beyond Part I is assumed, and Python is introduced from lesson 2, but the pace is fast and the code is read line by line. If Context Engineering or the Codex CLI is new to you, start with Part I.

What it is not: it does not promise research training equivalent to a doctorate. GraphRAG, GEPA, ACE and Recursive Language Models are taught as principles and as small, clearly labeled adapted demonstrations, not as reproductions of the papers. Most results come from small synthetic experiments with one recorded run, so they show a method and not a benchmark, and the safety lessons demonstrate mechanisms without promising protection in production. OCR of scanned documents, real-time audio and video, and model training are outside the course. Model usage counts against your own account, and the course does not promise a fixed cost.

Who this course is for
⭐ Graduates of Context Engineering, Part I who want to go from prompts and folders to systems they can measure and improve.
⭐ Developers and engineers who build assistants, retrieval or agent systems and want habits for evaluation, permissions and testing.
⭐ Learners without a programming background who are ready to learn Python as they go and to stop and look things up.
⭐ People who want to read a research paper and test one of its ideas themselves in a small, fair experiment.

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• views: 122
• date: 30 September 2026
• posted by: 0nelove

Agentic Automation — A Pytest Framework with Claude Code
Published 9/2026
Created by Josef Levy
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 49 Lectures ( 3h 6m ) | Size: 3.3 GB

Agentic Automation: Skills, Subagents, Planning, and Test Automation

What you'll learn
⚡ Design and author purpose-built Claude Code subagents — giving each a narrow mandate and exactly the tools it needs
⚡ Separate thinking from doing with plan mode — produce a reviewable plan before writing code
⚡ Orchestrate a multi-agent engineering loop — plan → build → review → test — where a lean orchestrator routes work across agents
⚡ Turn requirements into a running Pytest + Playwright framework — mapping user stories and acceptance criteria into non-flaky automated tests
⚡ Work within enforceable guardrails and improve agents from real results — building inside allow/deny permission policies

Requirements
❗ Comfortable with Python, Pytest, and Git; some Playwright and Claude Code exposure helps

Description

Agentic Automation Course

Build a test-automation framework where the work is done by AI agents, not scripts you run by hand.
Most automation courses teach you to write scripts. This one teaches you to build ateam — a roster of purpose-built Claude Code subagents that plan, write, review, run, and debug tests by reasoning about the work, using their own tools, and handing off to each other in a real engineering loop.

You'll author each specialist from scratch and wire it into a working pipeline

✅plan-architect researches a task and returns a reviewable plan before a line of code is written

✅automation-writer turns user stories and acceptance criteria into non-flaky Pytest + Playwright tests

✅senior-code-reviewer reviews the diff read-only and opens the PR on approval

✅test-suite-planner decomposes a story into prioritised, independent suites as Jira sub-tasks

✅test-runner executes each reviewed suite and posts a sanitized verdict

✅qa-failure-investigator tells a test bug from a product bug — byattempting the fix — and files evidence-backed defects

A leanorchestrator routes work between them and carries context across the hand-offs. Because the heavy lifting stays inside each agent's isolated context window, the orchestrator runs a long, multi-stage workflow without exhausting its own — in one measured build it held at~5%

context used while ~250K tokens of work happened inside the subagents.

What makes it different
✅"Agentic" is literal. Each agent is an autonomous LLM worker with a narrow mandate, its own context, and exactly the tools it needs — toolsare the capability boundary, so a read-only reviewer physically can't mutate the repo.

✅Dogfooded throughout. Every agent is exercised on real work in the course's own repo, driving a live Jira board and a real browser against a running app. Whatever breaks gets fed back into that agent's prompt — so you learn to improve agents the way you'll actually improve them.

✅Guardrails you workwith . Destructive, staging, commit, push, and PR-create commands are denied outright; sanctioned actions are wrapped in allow-listed skills. You learn to build inside enforceable policy, not around it.

The pipelineplan → build → review → test, with a defect fork when a suite catches a real product bug. Progress is visible on the Jira board through a single parent-story status, one owner per transition

To Do → In Planning → Ready for Dev → In Progress → In Review → In Testing → Done

You'll practice
Matching tools to intent · planning before doing · delegating execution to keep an orchestrator's context lean · separating "it compiles" from verified and "review" from security audit · and feeding real findings back into agents so each dogfood failure pre-empts its whole class

of bug next time.

Stack: Python · Pytest · Playwright · pipenv · pytest-html + Allure · custom Claude Code subagents and skills · live Jira Cloud.

Educational course material — designed to be worked through interactively with Claude Code against a sandbox Jira project and a disposable app-under-test.

Who this course is for
⭐ Developers and automation engineers learning to build with Claude Code subagents

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• views: 149
• date: 30 September 2026
• posted by: 0nelove

Hands-On Workshop: Build an AI Document Assistant on AWS
Published 9/2026
Created by Lukasz Kallas
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 14 Lectures ( 3h 42m ) | Size: 3.9 GB

Build a RAG document assistant with AI, Amazon Bedrock Knowledge Bases, S3, Next.js, AWS CDK & CI/CD

What you'll learn
⚡ Build an AI-powered document assistant using Amazon Bedrock and RAG
⚡ Use Amazon Bedrock Knowledge Bases and S3 to answer questions from your own documents
⚡ Define and deploy cloud infrastructure using AWS CDK, Docker, ECS, and Fargate
⚡ Build an automated CI/CD workflow with GitHub Actions while working with an AI coding agent

Requirements
❗ Basic understanding of web development
❗ Basic familiarity with AWS

Description
This hands-on workshop brings together generative AI, cloud, application development, Infrastructure as Code, containers, and CI/CD to build a complete AI document assistant on AWS.

Unlike my regular Hands-On Introduction courses, this workshop isn't focused on teaching one technology from scratch.

Instead, we'll start with an empty folder and use an AI coding agent inside Cursor to build and deploy an application that lets users upload their own documents and ask questions grounded in those documents.

And just like in the other workshops in this series, we're not going to hand-write the application or infrastructure code ourselves.

We'll direct the AI agent, review what it produces, test its decisions, and work through the problems we encounter along the way.

The application we'll build is an AI-powered document assistant.

Users will be able to upload documents through a Next.js application, store them in Amazon S3, and make them available through an Amazon Bedrock Knowledge Base. Once the documents have been processed and indexed, users can ask questions and receive answers grounded in their own content, together with citations pointing back to the source documents.

This gives us a practical implementation ofRetrieval-Augmented Generation, or RAG.

Throughout the workshop, we'll work with

✨ AI-assisted development with Cursor

✨ Retrieval-Augmented Generation (RAG)

✨ Amazon Bedrock

✨ Amazon Bedrock Knowledge Bases

✨ Foundation models

✨ Embeddings and vector search

✨ Amazon S3

✨ Next.js

✨ Docker

✨ AWS CDK with TypeScript

✨ Infrastructure as Code

✨ Amazon ECS

✨ Git and GitHub

✨ GitHub Actions for CI/CD

✨ Automated cloud deployments

We'll start with an empty project and use the AI coding agent to help us determine how the different pieces should fit together.

We'll build a Next.js interface where users can upload documents and interact with them through a question-and-answer experience.

Those documents will be stored in Amazon S3 and connected to an Amazon Bedrock Knowledge Base, giving us a managed RAG workflow for ingesting, indexing, retrieving, and using our own documents as context for foundation models.

On the question-answering side, we'll retrieve relevant information from the knowledge base and use Amazon Bedrock to generate responses grounded in our documents rather than relying solely on the model's existing knowledge.

We'll also work with citations so users can see which source documents contributed to an answer.

But building the AI functionality is only part of the workshop.

We'll useAWS CDK with TypeScript to define our cloud infrastructure as code, containerize the application with Docker, and deploy it using Amazon ECS and AWS Fargate.

We'll then connect everything to GitHub and create a GitHub Actions CI/CD pipeline so changes can automatically move from our repository to the deployed application.

As with every workshop in this series, the AI agent won't necessarily get everything right the first time.

That's intentional.

AI coding agents are non-deterministic. They can choose approaches we didn't expect, create incorrect configurations, misunderstand requirements, or generate code and infrastructure that simply don't work.

Instead of hiding those moments, we'll use them to understand how to direct an agent, inspect what it generates, troubleshoot problems, and decide whether its proposed solution actually makes sense.

That's one of the main differences between this workshop and a traditional step-by-step tutorial.

By the end of the workshop, we'll have connected application development, generative AI, RAG, document storage, vector search, Infrastructure as Code, containers, cloud deployment, and CI/CD into one working system.

More importantly, you'll have seen how all of these individual technologies fit together when building something larger than another isolated AI chatbot demo.

This workshop is a great fit if you are

✨ A developer interested in building practical generative AI applications

✨ An AWS developer or cloud engineer exploring Amazon Bedrock

✨ A developer who wants to understand RAG through a real project

✨ A full-stack developer exploring AI-powered applications

✨ Someone interested in AI-assisted software development with Cursor

✨ Anyone familiar with individual AWS, AI, or DevOps technologies who wants to see how they work together

This workshop assumes some familiarity with AWS, web development, generative AI concepts, and Infrastructure as Code. We won't teach every individual technology from scratch.

If concepts such as Amazon Bedrock, embeddings, vector databases, AWS CDK, or containers are completely new to you, my individual Hands-On Introduction courses cover those topics in more detail.

Here, the goal is different:Put the pieces together and build something.

Who this course is for
⭐ Developers interested in building practical generative AI and RAG applications
⭐ AWS developers exploring Amazon Bedrock and Knowledge Bases
⭐ Full-stack developers who want to add AI capabilities to applications
⭐ Cloud and DevOps engineers interested in AI workloads
⭐ Developers experimenting with Cursor and AI coding agents
⭐ Students familiar with individual technologies who want to see how they work together in a complete project

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• views: 281
• date: 30 September 2026
• posted by: 0nelove

Statistics & Probability from Zero: Real-Life Examples
Published 9/2026
Created by Omar Koryakin
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 48 Lectures ( 9h 15m ) | Size: 10.7 GB

Read ratings, salaries, medical tests and polls with confidence. Statistics by hand, one picture at a time, no code.

What you'll learn
⚡ Judge a star rating or review score by reading it together with how many reviews are behind it
⚡ See through an "average salary" or "average house price" by working out the median and spotting outliers
⚡ Calculate the mean, median, mode, range and standard deviation by hand, and know which one answers your question
⚡ Use a z-score to say how unusual a test result, a sales day or a card payment really is
⚡ Work out the real chance of combined events with a dice grid, a Venn diagram and a tree diagram
⚡ Explain what a positive medical test really means when the illness is rare, and why base rates matter
⚡ Read a poll's "plus or minus 3 points" and tell when a race is too close to call
⚡ Build a 95% confidence interval and run a full hypothesis test, with a plain-English conclusion
⚡ Spot a correlation that isn't a cause, fit a simple prediction line, and question a "hot streak"
⚡ Catch misleading charts and headlines, like a cropped bar chart axis or a "most X were Y" story

Requirements
❗ Everyday arithmetic: adding, subtracting, multiplying, dividing and working out a percentage
❗ A basic calculator (the one on your phone is fine) and some paper and a pen for the practice exercises
❗ No previous statistics, algebra or software experience is needed; every word and symbol is explained from scratch
❗ Willingness to pause the video and try each short exercise before watching the answer

Description
This course contains the use of artificial intelligence.

Have you ever looked at a number in a report, a news story or a doctor's letter and felt your mind go blank? This course is for that moment. We start from zero, and by the end you'll be able to look at almost any number someone shows you and ask the three questions that matter: how many values are behind it, how spread out they are, and how likely it is to be luck.

We begin with real life, not formulas. You'll work out why a restaurant with 4.9 stars from 12 reviews is less trustworthy than one with 4.6 stars from 3,100. You'll see why an "average salary" in a job advert can be a number that almost nobody earns, and why the median tells you more. You'll count 1,000 people through a simple tree and find out that a positive result on a "90% accurate" test for a rare illness means only about an 8% chance you're actually ill. And you'll read a poll that says 52%, plus or minus 3 points, and know whether the race is really decided.

The teaching is slow and patient on purpose. Every lesson starts with a situation you'll recognise, explains the reason before the rule, and then walks through a worked example step by step with a picture you can see building on screen. After that it's your turn: you pause, try a short exercise yourself, and then we check the answer together. Each lesson also shows where you'll meet the idea at work or at home, and the classic mistake people make with it, so you don't fall into it.

All you need is everyday arithmetic: adding, subtracting, multiplying, dividing and percentages on a calculator. There's no software to install, no code and no algebra beyond "put the numbers in and work it out". Every new word and symbol is explained the first time it appears, and we reuse the same small set of examples (a restaurant, a class of 20 students, a coffee shop, a small studio's salaries) so you can focus on the idea instead of learning a new story each time.

Here's the path. We start with data, tables and honest bar charts, then the mean, median and mode, then spread and the standard deviation. You'll learn percentiles and z-scores to say how unusual a value is, then probability by counting dice, tree diagrams, conditional probability and base rates. After that comes the normal curve and reading a z-table, then samples, margin of error and your first 95% confidence interval. Next you'll run a full hypothesis test and write a conclusion that doesn't overclaim. We finish with correlation, a line of best fit, and two real-life case studies: is a basketball player really on a hot streak, and are your trading returns as calm as the bell curve suggests?

This course is a good fit if you're switching careers into data, reading dashboards at work, studying for a statistics module, helping your children with school maths, or simply tired of feeling fooled by numbers in the news. If you've tried statistics before and it went too fast, this one won't.

Who this course is for
⭐ Complete beginners who freeze when a report, a news story or a doctor throws numbers at them
⭐ Career switchers heading into data analysis or data science who want solid foundations before learning the tools
⭐ Office staff and managers who read dashboards, sales reports or survey results and want to question them properly
⭐ Students taking an introductory statistics module in school, college or university who need it explained slowly
⭐ Parents who want to understand school reports, percentiles and test scores, and help their children with maths
⭐ Traders, investors and curious readers who want to understand risk, averages, probability and "significant" results

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• views: 249
• date: 30 September 2026
• posted by: 0nelove

Laravel 13 - Build a Video Membership & Subscription Script
Published 9/2026
Created by Md Morshedul Arefin
MP4 | Video: h264, 2560x1440 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 76 Lectures ( 15h 11m ) | Size: 18.5 GB

Making a Complete Video Membership & Subscription Platform using Laravel 13 from Scratch

What you'll learn
⚡ Multi Authentication system from scratch
⚡ Sending email using laravel built in mail system
⚡ Complete CRUD system
⚡ Form validation technique
⚡ Admin login and reset password system
⚡ Admin profile management
⚡ Admin settings for different section of the website
⚡ Photo uploading system
⚡ Toast message notification
⚡ Manage Subscribers and Verify
⚡ Subscriber export as CSV
⚡ Pricing Package Management
⚡ Laravel Advanced Security System
⚡ Standard Single Authentication System
⚡ Standard Multi Authentication System
⚡ PayPal Payment Method Integration
⚡ Stripe Payment Method Integration

Requirements
❗ Basic knowledge in HTML
❗ Basic knowledge in CSS
❗ Basic knowledge in Bootstrap
❗ Basic knowledge in jаvascript
❗ Basic knowledge in Code Editor like VS Code or any other

Description
In this hands-on Laravel course, you will learn how to build a completeVideo Membership & Subscription Platform from scratch.

We will create a real-world platform where an administrator can publish YouTube videos under different categories, while visitors can browse and watch free content. For premium videos, users must create an account and purchase a membership package to access the protected content.

This course is designed to help you understand how a real Laravel application is planned, structured, developed, and turned into a complete working platform.

Admin Panel Features
1. Admin login & authentication

2. Dashboard management

3. Forget and reset password

2. Manage home page information

3. Manage video categories

4. Manage contact information

5. Manage videos

6. Manage memberships and packages

7. Setup videos as free or premium

8. See all payments made by users

9. Manage subscriber list and export as CSV.

10. Manage profile photo, information and password

11. Manage website settings

12. See all tickets and give replies

User Panel Features
1. User registration and verify account

2. User login & authentication

3. Dashboard management

4. Forget and reset password

5. Browse video categories

6. Browse free videos

7. Browse premium videos after purchase

8. Pay with PayPal and Stripe

9. Manage profile information and password

10. Create tickets and give replies

Who this course is for
⭐ Persons who want to learn laravel deeply
⭐ Persons who are looking for a good job in web development sector
⭐ Persons who want to have a remote job in laravel
⭐ Persons who want to start his freelancing career in php and laravel
⭐ Persons who want to learn making a video platform and subscription system

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• views: 180
• date: 30 September 2026
• posted by: 0nelove

Grafana MCP: Production AI Observability on AWS
Last updated 9/2026
Created by Opeyemi Onikute
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 32 Lectures ( 2h 3m ) | Size: 4.5 GB

Deploy Grafana MCP with Docker, Terraform, EKS, and ECS. Query from Cursor, Claude Code, Devin, and OpenCode

What you'll learn
⚡ Understand the Model Context Protocol end-to-end
⚡ Master how to run and operate the Grafana MCP server
⚡ Deploy and harden Grafana MCP in production
⚡ Build a production observability stack on AWS with Terraform
⚡ Build a production observability stack on AWS with Terraform

Requirements
❗ Basic familiarity with Grafana: logging in, viewing dashboards, and adding datasources
❗ Grafana Cloud Account (free tier)
❗ Comfort with the command line: files, environment variables, and running scripts in Bash
❗ Basic Docker: run containers and map ports
❗ Basic Kubernetes: pods, Deployments, Services, and reading logs with `kubectl`
❗ Basic git and other installed tools: `terraform`, `kubectl`, and the `aws` CLI.

Description
I have taught ~17000 students about monitoring with Prometheus and Grafana. Recently, I've been receiving several questions about how to deploy Grafana MCP in production. This course contains an extensive library of information to help you get up and running with MCP from the ground up. You will gain practical experience that you can immediately apply in your production systems.

At the end of the course, you'll have experience with the following

✨ Running Grafana MCP locally with Docker and connecting it to a real Grafana instance.

✨ Connecting Grafana MCP to Grafana Cloud and query Cloud-backed metrics, logs, and dashboards.

✨ Deploying Prometheus, Loki, Grafana, and a demo app on AWS with Terraform.

✨ Deploying Grafana MCP on Amazon ECS Fargate and Amazon EKS with TLS, IAM, and Secrets Manager.

✨ Querying live dashboards, metrics, logs, and alerts from Cursor, Claude Code, Devin Desktop, and OpenCode.

✨ Explaining MCP architecture: clients, servers, tools, and transports (stdio, SSE, and streamable HTTP).

✨ Scoping Grafana service accounts and MCP tools so the assistant runs with least privilege, not admin.

✨ Identifying MCP security risks and apply the controls you actually need on AWS.

✨ Choosing an ECS or EKS architecture for Grafana MCP and monitoring the MCP server itself.

✨ Investigating incidents from your editor using live Prometheus and Loki data instead of screenshots.

Who this course is for
⭐ Platform and DevOps engineers who need to run and manage MCP servers in production
⭐ Developers who use Grafana daily and want production context in their AI assistant
⭐ SREs or oncall engineers who want faster incident triage while adhering to least-privilege principles

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• views: 158
• date: 30 September 2026
• posted by: 0nelove

Bootcamp: Oracle PL/SQL
Published 9/2026
Created by Jorge Vinsencio Figuera
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: Spanish | Duration: 45 Lectures ( 4h 24m ) | Size: 2 GB

Codificación en PL/SQL

What you'll learn
⚡ Aprender los fundamentos del lenguaje PL/SQL
⚡ Definir variables, sus tipos de datos y cursores
⚡ Crear packages , procedimientos y funciones
⚡ Gestion y tratamiento de errores en PL/SQL
⚡ Gestion de E/S de archivos utilizando el PL/SQL
⚡ PL/SQL dinámico, colecciones

Requirements
❗ Tener instalado una versión de Oracle RDBMS superior al 11G
❗ Descargar e instalar la aplicación DbVisualizer u otro aplicativo para conectar a una base de datos Oracle
❗ Tener conocimientos del Lenguaje de Consulta de Datos (SQL)
❗ Tener conocimientos previos de lógica de programación en cualquier otro lenguaje

Description
En el presente BootCamp , estaremos estudiando la programación en Oracle PL/SQL, en donde abordaremos los siguientes temas relacionados con la programación en este fascinante lenguaje de programación, se trata de un curso dirijido a todas aquellas personas interesadas en aprender a codificar en este lenguaje :

1. Estructuras de bloques

2. Variables

3. Manejo de errores

4. Tipos de variables

5. Bucles

6. Estructura de Cursores

7.- Nombre de indentificadores

8. Delimitadores

9. Conversion de tipos de datos

10. Comentarios en PL/SQL

11. Ambito y visibilidad de las variables

12. Estructuras IF-THEM-ELSE

13. Estructuras de control

14. Bucles en PL/SQL (Loop/End Loop, While /End Loop,For/End Loop)

15. Como colocar etiquetas en PL/SQL

16. Bucles anidados

17. Operadores del tipo %ROWTYPE

18. Variables de tipo tablas

19.- Cursores explicitos y parametrizados

10.- Subprogramas

21. Procedimientos, packages , funciones y mucho mas

Para ello se requerira que el estudiante cuente con una base de datos ORACLE y alguna herramienta /interfaz que le permita al usuario conectar a la base de datos tales como TOAD, DBBEAVER , DBVISUALIZER para que pueda llevar adelante los ejecicios practicos. Finalmente les invito a disfrutar y aprovechar al maximo el curso y hacernos llegar sus comentarios para asi mejorar el mismo

Who this course is for
⭐ El curso esta dirijido a estudiantes , profesionales del area de TI y personas en general interesadas en aprender el lenguaje de programación Oracle PL/SQL

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• views: 202
• date: 30 September 2026
• posted by: 0nelove

Copilot for Excel: Microsoft Copilot for Business Analysis
Published 9/2026
Created by Grant Gamble
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 26 Lectures ( 5h 0m ) | Size: 3.8 GB

Analyze business data with Copilot in Excel: formulas, dynamic arrays, reusable LAMBDAs and self-updating reports

What you'll learn
⚡ Explain what Copilot in Excel can see and prepare your workbooks so it gives accurate, relevant answers
⚡ Choose between Chat, Plan and Edit modes and write specific prompts that get the right result first time
⚡ Create, check and fix formulas with Copilot, from single cells to dynamic arrays such as FILTER, SORT and VSTACK
⚡ Turn business rules into readable, reusable formulas using LET, LAMBDA, BYROW and MAP
⚡ Build self-updating reports with GROUPBY and PIVOTBY, and decide when a PivotTable is still the better choice

Requirements
❗ A Microsoft 365 subscription that includes Copilot in Excel (the course shows you how to check your licence)
❗ Excel for Windows, Mac or the web, with your files saved to OneDrive or SharePoint
❗ Basic Excel skills: entering data, simple formulas such as SUM, and moving between sheets

Description
This course contains the use of artificial intelligence. AI tools are used in the production of this course, including AI-assisted speech delivery based on the instructor's own voice. All content, demonstrations, workbooks, and prompts have been personally designed, reviewed, and verified by the instructor to ensure accuracy and practical value.

Copilot in Excel can now read your workbook, write formulas, build reports and even create complete solutions from a single prompt. This course shows you how to use it properly: how to get reliable answers, how to check what it gives you and how to stay in control of your file.

Across 16 practical sections and more than four and a half hours of video, every lesson comes with a practice workbook so you can follow along and try each prompt yourself. You will work with realistic business data, not toy examples.

What you will cover
✨Getting started: what Copilot can see, licensing and platforms, preparing your data and choosing a model.

✨Working with Copilot: Chat, Plan and Edit modes, writing specific prompts and iterating on results.

✨Formulas: everyday edits, dynamic arrays such as FILTER, SORT and VSTACK, and reusable logic with LET, LAMBDA and BYROW.

✨Reporting and analysis: GROUPBY and PIVOTBY reports, charts, PivotTables and plain-English questions of your data.

Why this course is different
✨ It is honest about where Copilot gets things wrong, and teaches practical checks so you can trust its output to the right degree.

✨ It explainswhy a prompt works, so you can write your own rather than copying templates.

✨ It shows whennot to use Copilot, because sometimes a shortcut or a simple formula is quicker.

✨ No Python or advanced formula experience is needed. Copilot does the heavy lifting; you learn to direct and review it.

By the end of the course you will be able to hand routine and complex Excel work to Copilot with confidence, knowing how to check the results and reverse any change.Enrol now and start getting more from Excel today.

Who this course is for
⭐ Excel users who want Copilot to save them time on everyday formulas, formatting and analysis
⭐ Finance, operations, HR and sales professionals who build reports, trackers and models in Excel
⭐ Analysts who want to use dynamic arrays, LAMBDA and Python in Excel without learning all the syntax first
⭐ Team leads and IT staff rolling out Copilot who need to understand licensing, safe editing and governance
⭐ Anyone who has tried Copilot in Excel, found the answers disappointing and wants dependable results

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• views: 221
• date: 30 September 2026
• posted by: 0nelove

GH-900 GitHub Foundations
Last updated 9/2026
Created by Shane Coffey
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 61 Lectures ( 7h 9m ) | Size: 3.9 GB

Targeted towards GitHub users who want to validate their understanding of the foundational topics, products, and concept

What you'll learn
⚡ Describe the purpose and value of GitHub in modern software development.
⚡ Explain the fundamentals of Git and version control.
⚡ Create and manage GitHub repositories.
⚡ Understand branches, commits, merges, and pull requests.
⚡ Collaborate effectively using GitHub workflows.
⚡ Manage project work using GitHub Issues and GitHub Projects.
⚡ Understand GitHub Actions and workflow automation concepts.
⚡ Describe GitHub security and code protection features.
⚡ Explain the role of GitHub Copilot in AI-assisted software development.
⚡ Recognize best practices for collaborative and open-source development.
⚡ Understand DevOps concepts and GitHub's role in software delivery pipelines.
⚡ Navigate GitHub confidently as a developer, administrator, contributor, or project stakeholder.

Requirements
❗ No prior GitHub experience required
❗ No software development experience required
❗ Basic computer and internet navigation skills
❗ Interest in software development, DevOps, or technology collaboration
❗ Desire to learn how teams manage code, projects, and software delivery using GitHub
❗ A GitHub account is recommended for hands-on practice, but not required

Description
"This course contains the use of artificial intelligence."

Course Introduction
Software development has become one of the most important drivers of innovation in the modern world. Whether building web applications, cloud services, mobile apps, or artificial intelligence solutions, development teams need tools that allow them to collaborate effectively, manage code changes, automate workflows, and deliver high-quality software at scale.GitHub has emerged as the world's leading platform for software development collaboration, helping millions of developers and organizations build software more efficiently.

TheGH-900: GitHub Foundations course provides a comprehensive introduction to GitHub, version control, collaborative development practices, and modern software development workflows. Designed for both technical and non-technical learners, this course helps students understand how GitHub supports software projects from initial development through deployment and ongoing maintenance.

Throughout this course, you'll explore the core concepts of Git and version control, learning how developers track changes, manage code repositories, and collaborate on projects across teams. You'll gain hands-on knowledge of repositories, branches, commits, pull requests, and issues, while also learning how GitHub enables communication and collaboration among developers, project managers, and stakeholders.

The course also introduces GitHub's powerful platform capabilities, including GitHub Actions for automation, GitHub Projects for work management, GitHub Discussions for community collaboration, and GitHub security features that help organizations build secure software. As artificial intelligence becomes increasingly integrated into software development, you'll also examine GitHub Copilot and how AI-powered coding assistants are transforming developer productivity and software engineering practices.

In addition to technical concepts, you'll learn how GitHub supports open-source development, enterprise collaboration, DevOps workflows, and modern software delivery practices. Through real-world examples and practical scenarios, you'll discover how organizations use GitHub to manage projects, improve code quality, streamline development processes, and accelerate innovation.

By the end of this course, you'll have a solid understanding of GitHub fundamentals, collaborative development workflows, repository management, and modern software development practices. Whether you're preparing for the GitHub Foundations certification, beginning a career in technology, supporting development teams, or simply looking to understand how software projects are managed, this course provides the ideal starting point.

Learning Objectives
After completing this course, you will be able to

✨ Describe the purpose and value of GitHub in modern software development.

✨ Explain the fundamentals of Git and version control.

✨ Create and manage GitHub repositories.

✨ Understand branches, commits, merges, and pull requests.

✨ Collaborate effectively using GitHub workflows.

✨ Manage project work using GitHub Issues and GitHub Projects.

✨ Understand GitHub Actions and workflow automation concepts.

✨ Describe GitHub security and code protection features.

✨ Explain the role of GitHub Copilot in AI-assisted software development.

✨ Recognize best practices for collaborative and open-source development.

✨ Understand DevOps concepts and GitHub's role in software delivery pipelines.

✨ Navigate GitHub confidently as a developer, administrator, contributor, or project stakeholder.

This course serves as an excellent foundation for students, developers, IT professionals, project managers, business analysts, technology leaders, and anyone seeking to understand how GitHub powers modern software development and collaboration.

Who this course is for
⭐ Students exploring software development careers
⭐ Aspiring developers and engineers
⭐ IT professionals seeking GitHub knowledge
⭐ DevOps and platform engineering beginners
⭐ Project managers working with development teams
⭐ Business analysts involved in technology projects
⭐ Open-source contributors
⭐ Team leaders and technology managers
⭐ Professionals preparing for the GitHub Foundations certification exam
⭐ Anyone interested in modern software development practices

Homepage

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• views: 92
• date: 29 September 2026
• posted by: 0nelove

AML Fundamentals: Introduction to Anti-Money Laundering
Published 9/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 15m | Size: 266.31 MB

Practical AML, KYC, CDD & red flag essentials-no prior experience needed.

What you'll learn
Understand the fundamentals of Anti-Money Laundering (AML) and why AML controls are important.
Explain the three stages of money laundering: placement, layering, and integration.
Understand the basics of KYC, Customer Due Diligence (CDD), and Enhanced Due Diligence (EDD).
Identify common AML red flags and recognize potentially suspicious customer and transaction activity.
Understand the risk-based approach and key customer, geographic, product, and transaction risks.
Understand how suspicious activity is identified, documented, escalated, and reported within in an organization.

Requirements
No previous AML or compliance experience is required. This course is designed for beginners and anyone interested in understanding the fundamentals of Anti-Money Laundering.
A willingness to learn about financial crime prevention, compliance, and customer due diligence is all you need.

Description

This course contains the use of artificial intelligence.AML Fundamentals: A Practical Introduction to Anti-Money Laundering is a beginner-friendly course designed to provide a clear, practical, and easy-to-understand introduction to Anti-Money Laundering (AML) and financial crime prevention.

No previous AML or compliance experience is required.Whether you are interested in starting a career in AML or compliance, currently work in a regulated industry, are a business professional looking to expand your knowledge, or simply want to understand how organizations help prevent financial crime, this course will give you a solid foundation.

Throughout the course, you will learn about thethree stages of money laundering: placement, layering, and integration. You will also explore important AML concepts includingKnow Your Customer (KYC), Customer Due Diligence (CDD), Enhanced Due Diligence (EDD), beneficial ownership, source of funds, source of wealth, the risk-based approach, Politically Exposed Persons (PEPs), sanctions, transaction monitoring, AML red flags, and suspicious activity.

The course goes beyond definitions by usingpractical examples, case studies, and knowledge checks to help you understand how AML concepts can apply in real-world situations. You will learn how to recognize potential warning signs, understand customer risk, document concerns objectively, and appreciate the importance of proper internal escalation.

By the end of this course, you will have greater confidence in understanding the fundamental principles of AML and the important role individuals and organizations play in protecting businesses and financial systems from financial crime.

Start building your AML knowledge today—no previous experience needed.This course is provided for educational purposes and covers general AML principles. AML laws, regulatory requirements, reporting obligations, and procedures vary by jurisdiction and industry.

This course contains the use of artificial intelligence.
Who this course is for
Beginners who want to learn the fundamentals of Anti-Money Laundering (AML).
Professionals interested in starting or developing a career in AML, compliance, or financial crime prevention.
Employees working in financial institutions or other AML-regulated industries who want to strengthen their AML knowledge.
Business owners, managers, and professionals who want a practical understanding of AML responsibilities and financial crime risks.

Homepage

https://www.udemy.com/course/aml-fundamentals-for-beginners/

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• views: 68
• date: 29 September 2026
• posted by: 0nelove

The Complete Guide to TEF French Exams Preparation
Published 9/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 10m | Size: 1.16 GB

A Complete Guide to Excel in Speaking, Reading, Listening and Writing in TEF and TCF Canada Examinations

What you'll learn
Understand the structure, format & scoring system of the TEF/TCF Canada French exams, including all sections (Reading, Writing, Speaking, Vocabulary & Grammar).
Learn proven TEF/TCF strategies, to improve scores for immigration, study, work and personal goals.
Master key French grammar, vocabulary, expressions and structures, tested in the TEF and TCF exams.
Improve your speaking and writing skills through practice, corrections, model answers and exam techniques.
Develop listening and reading strategies to find key information, manage time and avoid mistakes.
Practice realistic TEF/TCF questions with expert explanations, to build confidence before the exams.
Understand examiners' expectations and learn how to create high-scoring spoken and written responses.
Create an effective study plan to improve your French level and achieve your target exam score.

Requirements
Basic French knowledge (A2-B1 recommended) but beginners can also join. You will need internet access, a device and commitment to practice regularly.

Description
"This course contains the use of artificial intelligence" . It prepares learners for TEF Canada and TCF Canada exams, by helping them understand exam formats, sections, scoring systems, and success requirements. Students will learn effective strategies for improving performance in listening, reading, speaking, and writing through practical techniques, corrections, model responses, and realistic exam practice.

The course covers essential French grammar, vocabulary, expressions, and structures commonly tested in TEF/TCF exams. Learners will develop skills to manage time, identify key information, avoid common mistakes, and produce high-scoring spoken and written answers based on examiner expectations.

Students will also create a personalised study plan to strengthen their French level and achieve their target scores.

Requirements: Basic French knowledge (A2 to B1 recommended), internet access, a device for learning, and commitment to regular practice. Beginners may also join.

Who This Course Is For: TEF Canada and TCF Canada candidates, immigration applicants, students, professionals, and French learners seeking structured preparation, expert guidance, and improved confidence for certification success.

This course is taught by a tutor with a C1 French competency level, and extensive experience in teaching, translation and interpretation services. The tutor has taken the TEF Canada and TCF Canada examinations and has combined both student and teaching experiences in the development of this course, to maximize examination success.

Who this course is for
Anyone preparing for TEF Canada or TCF Canada for immigration purposes, students, professionals and French learners seeking exam success.
TEF Canada candidates preparing for Express Entry and immigration pathways.
TCF Canada candidates seeking French language certification.
French learners in need of structured exam preparation and guidance.
Students seeking to improve their speaking, writing, listening and reading skills.
Learners seeking expert strategies and practice materials for higher scores.

Homepage

https://www.udemy.com/course/tef-canada-exam-preparation/

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• views: 74
• date: 29 September 2026
• posted by: 0nelove

Project Initiation: Turn Ideas into Successful Projects
Published 9/2026
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English + subtitle | Duration: 5h 20m | Size: 12.32 GB

Master Project Initiation: Build Business Cases, Analyze Stakeholders & Create Project Charters (PMI-aligned)

What you'll learn
Understand how projects are initiated using PMI-aligned project management practices
Evaluate project requests and determine whether they are ready to move forward
Build and review business cases, benefits management plans, and project charter
Identify and analyze stakeholders using a stakeholder register and Power–Interest Grid
Plan and facilitate sponsor discovery meetings, stakeholder workshops, and other key initiation meetings
Practice real project management decisions through realistic role plays and a complete project initiation simulation
Use practical templates and tools that you can adapt to real projects
Earn 5 PDUs toward maintaining your PMI certification

Requirements
No prior experience is required. This course is designed for beginners and aspiring project managers.
A basic understanding of business concepts is helpful but not required.
Willingness to learn and apply practical project management tools and techniques.
Access to a computer to follow along with examples and templates.

Description

Learn project initiation by actually doing it.
Many courses explain project initiation. This course gives you the opportunity to practice it.

You will step into the role of a project manager at a fictional company calledBrightPath Solutions and help lead a website redesign initiative from an initial request toward formal project authorization.

Through a practical project initiation simulation, you will review documents, prepare for meetings, interact with stakeholders, analyze information, make decisions, and recommend improvements.

The course combinesproject management concepts aligned with PMI guidance with practical application. You will understand not only what happens during project initiation, but also what it feels like to manage it.

What will you learn?
By the end of the course, you will be able to

- Explain how projects are initiated within organizations

- Evaluate a project request and determine whether it is ready to move forward

- Review and assess a business case and benefits management plan

- Develop and evaluate a project charter

- Define project objectives, success criteria, assumptions, constraints, risks, and high-level scope

- Identify and analyze stakeholders using a stakeholder register and Power–Interest Grid

- Prepare for and facilitate sponsor discovery meetings and stakeholder workshops

- Determine who should participate in meetings and how different stakeholders should be engaged

- Apply practical project initiation tools, templates, and techniques

- Communicate findings, decisions, actions, and recommendations professionally

Learn through a realistic project simulation
This course is not limited to watching videos.

You will be assigned a website redesign initiative and asked to act as its project manager. As the simulation develops, you will

- Review the initial project request and supporting documents

- Prepare for a sponsor discovery meeting

- Participate in interactive role-play scenarios

- Clarify the business need and expected benefits

- Document meeting outcomes and follow-up actions

- Participate in a stakeholder identification workshop

- Build a stakeholder register and Power–Interest Grid

- Review a draft project charter

- Identify gaps and recommend improvements before formal authorization

By the end of the simulation, you will have experienced the journey from aninitial project request to a well-defined initiative ready for authorization.

What makes this course different?
This course is designed around application—not memorization.

You will work with

- Realistic company documents

- Business case and benefits management plan examples

- Project charter examples

- Stakeholder registers

- Power–Interest analysis

- Sponsor meeting and stakeholder workshop activities

- Interactive role-play scenarios

- Quizzes and practice tests

- Downloadable project management templates and learning resources

These activities will help you develop the judgment and confidence needed to apply project management concepts in real situations.

Also included
- Eligibility to claim up to5 Education PDUs toward maintaining an eligible PMI certification

- A suggested allocation of3 Ways of Working PDUs, 1 Power Skills PDU, and 1 Business Acumen PDU

- Downloadable project management templates and learning resources

- A complete project initiation simulation

- Interactive role-play and decision-making activities

Students are responsible for reporting their PDUs through PMI's Continuing Certification Requirements System. Acceptance of reported PDUs is determined by PMI.

Who is this course for?
This course is suitable for

- New and aspiring project managers

- Professionals moving into project management roles

- Project coordinators and project team members

- PMP and CAPM certification holders who want to strengthen their practical skills

- Professionals who understand project management theory but want more hands-on practice

- Anyone who wants to understand how projects actually begin inside organizations

No advanced project management experience is required.

Whether you are preparing to manage your first project or strengthening skills you already use at work, this course will give you a structured and practical foundation in project initiation.

You will not simply learn about project initiation. You will practice being the project manager.
Enroll and start turning ideas into successful projects.

PMI and PMI Talent Triangle are registered marks of Project Management Institute, Inc. Projectonomy is not affiliated with or endorsed by Project Management Institute.

This course contains a promotion.

Who this course is for
Aspiring project managers who want to learn how projects are initiated in real organizations
Learners preparing for PMI certifications who want a strong foundation in project initiation concepts
Students in business, engineering, or related fields who want practical project management skills
Team members who want to understand how projects are selected, approved, and started
Entrepreneurs and business owners who want to evaluate and launch projects effectively
Learners preparing for PMI certifications who want a strong foundation in project initiation concepts

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• views: 105
• date: 29 September 2026
• posted by: 0nelove

AI Engineering & MLOps: Build Production-Ready AI Systems
Published 9/2026
Created by Yücel Fuat İPEK
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Expert | Genre: eLearning | Language: English | Duration: 89 Lectures ( 5h 33m ) | Size: 3.1 GB

Learn AI Engineering, MLOps, LLMOps, RAG, vector databases, deployment, monitoring, optimization, and AI security.

What you'll learn
⚡ Understand the core concepts of AI, machine learning, generative AI, and large language models from an engineering perspective.
⚡ Clearly explain the differences between DevOps, MLOps, and LLMOps, and understand where each fits in modern production systems.
⚡ Understand how production AI systems are designed, including model serving, inference, scalability, reliability, and infrastructure concerns.
⚡ Learn the fundamentals of prompt engineering, including system prompts, few-shot prompting, structured prompting, and common prompt design mistakes.
⚡ Understand prompt caching, latency optimization, cost optimization, and the practical trade-offs involved in running AI systems efficiently.
⚡ Learn how embeddings, vector databases, and retrieval pipelines work, and understand the foundations of RAG systems and why many RAG implementations fail.
⚡ Understand model quantization, inference efficiency, and the trade-offs between accuracy, memory usage, speed, and infrastructure cost.
⚡ Identify realistic AI use cases in software and DevOps environments, and understand how AI can be integrated into real-world enterprise systems.
⚡ Build a clear mental roadmap for transitioning from DevOps into AI Engineering, MLOps, or AI platform roles.

Requirements
❗ No prior AI or machine learning experience is required.
❗ A basic understanding of IT, software, or DevOps concepts will be helpful.
❗ Familiarity with topics such as Linux, cloud, containers, CI/CD, or Kubernetes is a plus, but not mandatory.

Description
This course contains the use of artificial intelligence. AI is no longer only about building or using models. In real companies, AI systems must work inside production environments. They need APIs, data pipelines, vector databases, RAG architectures, prompt design, monitoring, logging, security controls, deployment processes, cost tracking, and reliable infrastructure.

This course teachesAI Engineering and MLOps from a DevOps perspective. It is designed to help you understand how modern AI systems are planned, designed, deployed, monitored, optimized, and secured in real-world environments also

Throughout the course, you will learn the core foundations of artificial intelligence, machine learning, MLOps, LLMOps, prompt engineering, prompt caching, embeddings, vector databases, RAG systems, model quantization, AI infrastructure, observability, AIOps, AI security, governance, and production risk management.

The focus of this course is not deep mathematics or academic model training. Instead, the course focuses on practical engineering thinking. You will learn how AI applications are structured, why many AI projects fail, how latency and cost should be considered, why monitoring is different for AI systems, how RAG systems can be improved, and why security and governance are critical for production-ready AI.

This course is especially useful forDevOps Engineers, Cloud Engineers, Site Reliability Engineers, Platform Engineers, Backend Engineers, Software Engineers, and technical professionals who want to understand AI systems from a production and infrastructure point of view.

If you already have experience with cloud platforms, Kubernetes, CI/CD, monitoring, logging, infrastructure, APIs, or production systems, this course will help you connect those skills with the AI world. You will see how your existing DevOps and engineering background can become a strong advantage in AI Engineering and MLOps.

By the end of this course, you will have a clear foundation in AI Engineering, MLOps, and LLMOps. You will understand the main components of production-ready AI systems and how they work together. You will also gain a practical mindset for thinking about reliability, scalability, cost, security, monitoring, and continuous improvement in modern AI applications.

This course is a strong starting point for anyone who wants to move toward AI Engineering, strengthen their technical career, or understand how modern AI systems are built and operated in production.

Who this course is for
⭐ Technical professionals who want a clear and practical understanding of concepts such as LLMOps, RAG, embeddings, prompt engineering, model quantization, and AI infrastructure

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• views: 86
• date: 29 September 2026
• posted by: 0nelove

Agricultural Meteorology
Published 9/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 8h 26m | Size: 7.97 GB

Master weather, climate, crop-weather relationships, evapotranspiration, forecasting and climate-smart agriculture.

What you'll learn
Understand major weather elements, atmospheric processes and their influence on crop growth, development and agricultural production.
Interpret rainfall, temperature, humidity, radiation, wind and evapotranspiration for practical crop and water management decisions.
Apply agroclimatic indices, crop-weather relationships and weather forecasts to improve agricultural planning and farm advisories.
Evaluate weather hazards and climate-change impacts and identify suitable adaptation and climate-resilient agricultural strategies.

Requirements
No previous knowledge on the subject is required. Just grab your notebook and pen to mark important concepts for future use.

Description
Agricultural Meteorology is a comprehensive course designed to develop a clear understanding of the relationship between weather, climate and agricultural production. Weather affects almost every stage of crop production - from seed germination and crop establishment to flowering, grain filling, harvesting and final yield. Understanding agricultural meteorology therefore helps students, researchers and professionals make better decisions regarding crop planning, irrigation, nutrient management, pest and disease management, harvesting and climate-risk management.

The course begins with the fundamentals of meteorology, weather and climate and gradually covers the composition and structure of the atmosphere, solar radiation, air and soil temperature, atmospheric humidity, pressure, wind, clouds and precipitation. You will also study important applied topics such as the Indian monsoon, crop-weather relationships, evapotranspiration, crop coefficients, growing degree days, heliothermal and photothermal units, agroclimatic indices, weather forecasting and agrometeorological advisory services. Special attention is given to agricultural weather hazards including drought, flood, frost, heat waves, cold waves, cyclones and hailstorms, along with approaches for managing weat

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• views: 160
• date: 28 September 2026
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Introduction to the Design of Small Spaces
Rocío Pina, Carmelo Rodríguez | Duration: 1:42 h | Video: H264 1920x1080 | Audio: AAC 44,1 kHz 2ch | Size: 797 MB | Language: Spanish, SUB: English

Learn how to design a small space for optimal and flexible use, without compromising on style
Over the last few decades, technology, communication, and lifestyles have all changed drastically. However, when it comes to architecture, housing has largely maintained its rigid, outdated structures despite getting smaller in size. That's why architects and founders of Enorme Studio, Rocío Pina and Carmelo Rodríguez, design homes that make use of every square inch and are tailored to the daily needs of their inhabitants.

In this course, learn to approach small spaces with a different outlook and remodel them to maximum advantage without having to compromise style. Throughout the course, explore space structure, light, colors, and multi-functional fixtures and fittings.

Start the course by getting to know your teachers Rocío Pina and Carmelo Rodríguez. Hear about their studio, main influences, idols, and their ideas about flexibility. They also discuss their signature slogan "Be Flexible or Die" before giving you a brief overview of the course.

After reflecting on what it means to live in a small house and the concept of flexibility, analyze the characteristics of the room or space to be redesigned. Identify the essential, day-to-day household items, keeping the inhabitants in mind at all times.

Discover some key strategies for equipping each space, before deciding how each new space is to be mobilized and defined using folding mechanisms where necessary. Find out what options are on the market and how to use them to their full potential.

To finish up, Rocío and Carmelo share some tips for communicating your ideas on flexibility effectively and efficiently. Learn to create the necessary documents for representing concepts such as multifunctionality, mobility, and a non-fixed layout. Finally, discover how to increase your visibility across various channels and platforms.

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• views: 88
• date: 28 September 2026
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Kinetic Typography: Create a Visual Concept in Motion
Simon François | Duration: 1:25 h | Video: H264 1920x1080 | Audio: AAC 44,1 kHz 2ch | Size: 441 MB | Language: French, SUB: English

Learn how to create coded motion typography with Illustrator and After Effects

Simon François is passionate about all things language- and graphics-related, and loves nothing more than playing around with the letters, shapes, and sounds of words. In this course, he shares his love for the demanding art of animated typography. A little creativity, a few exercises, and a strong semantic concept can work wonders!

Learn how to make a typographic animation with moving coded elements using Illustrator and After Effects in turn. By the end of this course, you'll be able to make letters dance to your rhythm with finesse and creative energy.

Simon François starts by introducing himself and talking about his approach to graphic and motion design. From Studio Thonik to Michal Rovner and Chuck Jones, his influences stretch far and wide.

He gives you a short introduction to kinetic typography, with a focus on matrix compositions. Learn how to find inspiration, whether visual or poetic, before thinking about the semantic construction of your typography, its foundations, and how you want it to unfold.

Time to roll up your sleeves! With Simon's help, draw the letters in Illustrator before animating them in After Effects. To do this, create a coded animation sequence and a displacement map as your base. Learn to use the Turbulent Noise effect to generate a fluid and moving visual piece. Your composition is now ready to be exported!

To wrap up the course, Simon teaches you some other ways to generate movement in After Effects and how to share your creations on social media to boost your visibility.

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• views: 116
• date: 28 September 2026
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Kinetic Typography: Create a Visual Concept in Motion
Simon François | Duration: 1:25 h | Video: H264 1920x1080 | Audio: AAC 44,1 kHz 2ch | Size: 441 MB | Language: French, SUB: English

Learn how to create coded motion typography with Illustrator and After Effects

Simon François is passionate about all things language- and graphics-related, and loves nothing more than playing around with the letters, shapes, and sounds of words. In this course, he shares his love for the demanding art of animated typography. A little creativity, a few exercises, and a strong semantic concept can work wonders!

Learn how to make a typographic animation with moving coded elements using Illustrator and After Effects in turn. By the end of this course, you'll be able to make letters dance to your rhythm with finesse and creative energy.

Simon François starts by introducing himself and talking about his approach to graphic and motion design. From Studio Thonik to Michal Rovner and Chuck Jones, his influences stretch far and wide.

He gives you a short introduction to kinetic typography, with a focus on matrix compositions. Learn how to find inspiration, whether visual or poetic, before thinking about the semantic construction of your typography, its foundations, and how you want it to unfold.

Time to roll up your sleeves! With Simon's help, draw the letters in Illustrator before animating them in After Effects. To do this, create a coded animation sequence and a displacement map as your base. Learn to use the Turbulent Noise effect to generate a fluid and moving visual piece. Your composition is now ready to be exported!

To wrap up the course, Simon teaches you some other ways to generate movement in After Effects and how to share your creations on social media to boost your visibility.

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• views: 68
• date: 28 September 2026
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Build Streaming Pipelines with Apache Flink
Released 9/2026
By Pinal Dave
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 49m 53s | Size: 167.2 MB

A streaming pipeline needs predictable behavior from incoming records to delivered results.

A streaming pipeline needs predictable behavior from incoming records to delivered results. In this course, Build Streaming Pipelines with Apache Flink, you'll gain the ability to build and verify Java streaming pipelines. First, you'll explore Kafka ingestion with the unified Source API and JSON deserialization. Next, you'll discover transformations, keyed aggregation, stream combination, and side outputs. Finally, you'll learn how to configure types and execution, deliver results to Kafka and relational sinks, and test with a local MiniCluster. When you're finished with this course, you'll have the skills and knowledge of Flink streaming pipelines needed to turn incoming events into tested, usable results.

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• views: 65
• date: 28 September 2026
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SharePoint Monitoring, Reporting, and Troubleshooting
Released 9/2026
By Robert McMillen
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Advanced | Genre: eLearning | Language: English + subtitle | Duration: 1h 16m 31s | Size: 232.1 MB

SharePoint is an excellent tool for sharing documents and information needed by employees, contractors, and other stakeholders.

SharePoint is an excellent tool for sharing documents and information needed by employees, contractors, and other stakeholders. SharePoint does require monitoring and troubleshooting when issues arise. In this course, SharePoint Monitoring, Reporting, and Troubleshooting, you'll gain the ability to keep SharePoint running and accessible by all those who need access to resources and data within an organization. First, you'll explore how to use the SharePoint Admin Center in Microsoft 365 to monitor SharePoint usage and uptime. Next, you'll learn how to report this data to management and stakeholders. Finally, you'll discover how to troubleshoot issues with access and functionality that may arise in your SharePoint configurations. When you're finished with this course, you'll have the skills and knowledge to ensure your SharePoint websites and data will be accessible at all times to those who need it.

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• views: 108
• date: 28 September 2026
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Attacking AI Applications
Released 9/2026
By Malek Mohammad
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 31m 54s | Size: 311.1 MB

AI applications often connect a language model to documents, APIs, user data, and business workflows.

AI applications often connect a language model to documents, APIs, user data, and business workflows. That makes them useful, but it also creates attack paths that traditional web testing can miss. In this course, Attacking AI Applications, you'll learn how to turn an AI application architecture into practical offensive tests. First, you'll use the attack surface map to choose where prompt injection and constraint evasion are likely to matter. Next, you'll execute direct and indirect prompt injection tests while separating general safety bypasses from real security impact. Finally, you'll manipulate RAG systems using context flooding, query steering, forced output, and controlled poisoning scenarios using malicious source documents. When you're finished with this course, you'll have the skills and knowledge needed to test common AI application weaknesses, demonstrate impact clearly, and report findings in a way that fits a real engagement.

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• views: 110
• date: 28 September 2026
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The Complete Guide to Starting Your Floristry Business
Published 9/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 53m | Size: 5.75 GB

Master practical and versatile floristry techniques which you can adapt to seasonal flowers and different vessels

What you'll learn
Learn flower crafting techniques that are versatile and timeless no matter what materials you use. Apply thought processes learnt to create your own styles.
Efficiently organise your thoughts and strategies with our in-house 70 Questions E-Book.Know exactly how to plan your catalogue for your e-store & festive sale.
Access popular color palettes you can propose to your clients. Set up your work process to clinch your first wedding client deal and liaise confidently.
Avoid spending unnecessarily. Grow your business organically and start attracting clients by knowing how to be consistent and leverage on the your networks.

Requirements
No prior experience needed.
Begin learning with an open heart and mind!

Description

Welcome to the School of Keira Floral.

While there is no quick fix to floral crafting, learning from someone who shares your styling philosophy and taste will definitely give you a great head start to the world of floristry. Having taught more than 40 students from my professional in-person course, I hope to make my courses accessible where anyone can learn at their convenience and get the support they need to journey through their floristry business - something I didn't have when I first started out years ago. Learn key thought processes through our online course to discover your own floral arrangement styles confidently.

This course is for you if: 1) You visualise owning a flourishing floristry business but you feel inertia to begin or are lost as to where to begin. 2) You are uncertain whether a floristry career is for you 3) You feel stagnant in your own floral crafting projects and want to find new inspiration to further your portfolio 4) You don't have a huge budget to hire a business development manager or marketer but would like to grow your floristry business organically and are willing to give it time.

Let's build your flower business together.

Here's what is included in this online course
-Learn how to craft a bridal bouquet and foam-free centrepiece. Both detailed videos comes with explanation and a PDF guide. Plus, get a complementary video on crafting a roman vase pedestal flower arrangement.

-268 pages of theory content: Introduction, Preparation & material selection, Bouquet making deck, Designing centrepieces, Guide to selling everyday flowers, Guide to planning wedding flowers, Elements of a moodboard, Tablescape styling tips, Growing your brand, Popular color palettes & recommended flower list

-A Keira Floral in-house E-book comprising of 70 questions to guide your thoughts and reflections on 1) intentional thinking about you as the floral designer 2) Planning your everyday flowers catalogue 3) Getting your e-store ready 4) Planning your wedding floral services 5) Building your brand and connecting with your audience

Value you are

Who this course is for
Flower enthusiasts looking to begin their floristry journey.
Creative entrepreneurs looking for an alternative expression outlet.
Stylists or designers who want to include fresh flower designs into their work for clients.
Current florists looking for some inspiration.

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• views: 111
• date: 28 September 2026
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Excel: Advanced Formulas and Functions (2026)
Released 9/2026
With Oz du Soleil
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 3h 10m | Size: 799.8 MB

Examine tables, IF statements, lookups, dynamic arrays, and many more functions and formulas you can use for sophisticated data challenges.

Course details
Embark on a journey through advanced Excel formulas and functions. Learn how to use tables and dynamic arrays to maintain data integrity effortlessly. Learn about the power of IF statements and conditions to build decision-making capabilities into your spreadsheets. Explore the versatile lookup functions like VLOOKUP, XLOOKUP, and INDEX/MATCH to compare and combine data efficiently. Discover strategic formula tips that will enhance your formula-building process, making them more readable and less error-prone. Learn how to work with text and arrays, employ statistical and math functions, and harness dynamic solutions with the cutting-edge features in Excel. Intended for intermediate to advanced Excel users, this course is well-suited for those looking to push their Excel skills to new heights. By the end of this course, you will be more equipped to manage and navigate data effectively to make more informed data-driven decisions.

Skills covered
Excel Formulas, Microsoft Excel, Microsoft 365 Copilot

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• date: 28 September 2026
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Associate Google Workspace Administrator: Managing Browsers and Endpoints
Released 9/2026
By Sean Wilkins
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 14m 23s | Size: 199.1 MB

Managing endpoints in Google Workspace requires more than simply applying settings.

Managing endpoints in Google Workspace requires more than simply applying settings. Administrators need to choose the right level of control, apply policies at the correct scope, understand how ownership and management state affect available actions, verify that policies actually took effect, and remove access safely when an endpoint should no longer be trusted.
In this course, Associate Google Workspace Administrator: Managing Browsers and Endpoints, you'll gain the ability to manage mobile devices and Chrome browsers through that lifecycle. First, you'll learn how to compare basic, advanced, and third-party mobile management, including the capabilities and boundaries that affect the choice, and distinguish registration, management state, BYOD, and company-owned devices. Next, you'll discover how to apply and verify basic mobile security, interpret registered-device evidence, select appropriate administrative actions, and offboard mobile access. Finally, you'll learn how to enroll and govern Chrome browsers, apply and verify browser policies, and manage apps and extensions with allow, block, and force-install controls scoped by organizational unit or group.
When you're finished with the course, you'll have the skills and knowledge of Google Workspace endpoint administration needed to select appropriate management approaches, apply controls, interpret endpoint evidence, and verify the resulting managed state.

Homepage

https://rapidgator.net/file/f681c1d246c4a69e4c6845264d83602a/Associate_Google_Workspace_Administrator_Managing_Browsers_and_Endpoints.rar.html

https://www.uploadcloud.pro/b6o3gs0ko87n/Associate_Google_Workspace_Administrator_Managing_Browsers_and_Endpoints.rar.html

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• views: 101
• date: 28 September 2026
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SC-100: Designing Security Operations, Identity, and Compliance Capabilities
Released 9/2026
By Tim Warner
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Advanced | Genre: eLearning | Language: English + subtitle | Duration: 2h 15m 10s | Size: 473.1 MB

Fragmented logs, standing privilege, and unmanaged agent identities are the failures that turn a contained incident into a breach, and they usually belong to three different teams.

Fragmented logs, standing privilege, and unmanaged agent identities are the failures that turn a contained incident into a breach, and they usually belong to three different teams. In this course, SC-100: Designing Security Operations, Identity, and Compliance Capabilities, you'll gain the ability to design the detection, identity, privileged access, and compliance capabilities an enterprise can defend under audit and under attack. First, you'll explore how to design security operations as one estate, covering the split between XDR and SIEM, centralized logging and auditing with Microsoft Purview Audit, automation that returns analyst hours, and detection coverage measured against MITRE ATT&CK. Next, you'll discover how to design identity for human, workload, and agent principals, including agent identities with Microsoft Entra Agent ID, access across SaaS, PaaS, IaaS, hybrid, and multicloud resources, and external identities. Then, you'll learn how to design continuous authorization, harden the Active Directory forest everything else still trusts, and secure privileged access with the enterprise access model, entitlement management, and privileged access workstations. Finally, you'll learn how to translate regulatory obligations into controls you can enforce and evidence using Microsoft Purview, Azure Policy, and Microsoft Defender for Cloud. When you're finished with this course, you'll have the skills and knowledge of security operations, identity, and compliance design needed to architect and defend these capabilities across a hybrid and multicloud enterprise.

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• date: 28 September 2026
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CompTIA CySA+ (CS0-004): Incident Response and Communication
Released 9/2026
By Dale Meredith
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 38m 50s | Size: 1.4 GB

Security incidents are not a matter of if but when, and the teams that handle them well didn't figure it out in the middle of a crisis.

Security incidents are not a matter of if but when, and the teams that handle them well didn't figure it out in the middle of a crisis. In this course, CompTIA CySA+ (CS0-004): Incident Response and Communication, you'll gain the ability to apply a structured incident response (IR) process, execute real-world IR techniques at every phase, and communicate clearly with the people who need to know. First, you'll explore the seven phases of the NIST incident response lifecycle and understand how each phase feeds into the next. Next, you'll discover how to build IR plans and playbooks, define team roles, collect and correlate logs, triage incidents, build timelines, and gather evidence in a way that holds up legally. Finally, you'll learn how to contain and eradicate threats, recover safely, conduct root cause analysis, and produce the reports, communications, and metrics that keep leadership informed and your program improving. When you're finished with this course, you'll have the skills and knowledge of incident response and communication needed to handle real incidents with confidence and structure.

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• views: 155
• date: 28 September 2026
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Data Privacy Explained
Released 9/2026
By John Elliott
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 29m 52s | Size: 450.7 MB

Data privacy is now both a legal requirement and a matter of public trust.

Data privacy is now both a legal requirement and a matter of public trust. In this course, Data Privacy Explained, you'll gain the ability to connect how an organization deals with data to people's privacy and the organization's legal obligations. First, you'll explore data privacy as concept and data privacy as a legal obligation. Next, you'll discover the diverse ways that the laws in different parts of the world states aim to regulate privacy. You'll meet the core data privacy principles and see how they apply in the real-world scenarios. Finally, you'll work through a technology problem, considering the principles and using privacy-enhancing technologies to manage data privacy. When you're finished with this course, you'll have the skills and knowledge of data privacy needed to contribute to technological solutions that respect people's privacy and help meet the organization's legal obligations.

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• views: 191
• date: 28 September 2026
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Introduction to Modernist Logo Design
Rich Baird | Duration: 2:23 h | Video: H264 1920x1080 | Audio: AAC 44,1 kHz 2ch | Size: 1,45 GB | Language: English
Introduction to Modernist Logo Design
Rich Baird | Duration: 2:23 h | Video: H264 1920x1080 | Audio: AAC 44,1 kHz 2ch | Size: 1,45 GB | Language: English

Take inspiration from Mid-century modernism and create logos for today's brands that stand the test of time through their simplicity and elegance.

Logos have the power to create an immediate and meaningful connection between the brand and the customer. Designer Rich Baird says an effective logo needs to be distinctive and useful. And how that's achieved doesn't really matter. Rich takes inspiration from the past to create modern, memorable logos that can maintain meaning over time.

In this online course, Rich teaches you how to explore modernist approaches to designing powerful logos. Rich brings you through a number of form-making techniques to add to your skillset, derived from modernist mid-century design. He explains how use-cases can generate a practical form and creative framework to communicate with clients.

Start by getting to know your teacher, Rich Baird, and a bit about his journey with design. He also takes you through his influences, from Mitsubishi to Akogare.

Then, explore what makes for a good logo, cover a few form-making techniques, and learn a bit about compounding. Rich also guides you through some use-cases to help define your parameters and tackle your logo.

Next, interrogate the brief for potential pathways and generate some visual ideas. Examine concepts and relate them back to your main objectives, before moving your sketches to the computer to explore different directions. Afterward, learn a bit about what to expect from client feedback and how to respond to it.

Finally, Rich teaches you to present your work effectively and gives you some advice on moving your design business forward.

By the end of the course, you will have a set of form-making techniques to use, with roots in Mid-Century Modernism.

Homepage

https://rapidgator.net/file/e192e18831027a010650e2ab47a4bbce/Introduction_to_Modernist_Logo_Design.rar.html

https://www.uploadcloud.pro/pkoniot0p0xv/Introduction_to_Modernist_Logo_Design.rar.html

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• views: 80
• date: 28 September 2026
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Introduction to Handmade Printing of Corporate Stationery
Betún de Mantequilla | Duration: 2:40 h | Video: H264 1920x1080 | Audio: AAC 44,1 kHz 2ch | Size: 2,82 GB | Language: Spanish, SUB: English

Learn how to professionally print unique pieces, from the choice of paper to the final letterpress finishes

Working with the right materials and printing methods adds character and unique value to the graphic design of a piece, infinitely improving the final result. This is the detailed work of Betún de Mantequilla, the artisanal printshop founded by designer Kristyna Osorio, where each line, cut, and smallest of details is as important as the last, resulting in truly stunning prints.

In this course, discover artisan printing techniques for corporate stationary. Explore all the tricks for achieving impeccable handmade prints, from the selection of the best materials and paper for your project to the finishing touches with letterpress.

Start by getting to know Betún de Mantequilla. Founder Kristyna Osorio talks about how she went from freelance designer to founding her own print shop, as well as sharing her main influences.

Get an overview of the different printing methods and what each one has to offer, focusing primarily on the letterpress technique. Then, immerse yourself in the world of paper by watching a traditional Adana machine in action! Then Kristyna shows you how to establish the specifications for your print and which techniques and materials are ideal for your particular project, as well as how to prepare a file for printing.

After hearing some key tips on color testing and Pantone samples, your teacher explains how to select the best printing option. Also take a look at what cutting and die-cutting can bring to the table.

Wrap up the course by seeing how to produce these additional finishes at home with professional-looking results. She teaches you how to make double-sided solid paper, create colored edges, and how to make your own paper for stickers. Kristyna gives some final tips for perfecting your pieces every time.

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