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• date: 16 September 2026
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Horizontal Pod Autoscaling in Kubernetes
Released 9/2026
By Travis Thomsen
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 11m 54s | Size: 287.5 MB

Managing Kubernetes workloads with static pod counts leads to wasted resources during lulls and performance degradation during peak traffic.

Managing Kubernetes workloads with static pod counts leads to wasted resources during lulls and performance degradation during peak traffic.
In this course, Horizontal Pod Autoscaling in Kubernetes, you'll gain the ability to create an HPA and add it to your deployment as well as understand how it works. First, you'll explore how HPAs work and the mechanics behind scaling out your pods. Next, you'll discover the behavior of scaling up and scaling down pods in your deployment. Finally, you'll learn how to troubleshoot common issues with your HPA. When you're finished with this course, you'll have the skills and knowledge to be able to create an HPA for your deployment and know what you will need to understand how an HPA will scale your pods.

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• views: 117
• date: 16 September 2026
• posted by: 0nelove

Nonlinear Regression Models
Released 9/2026
By Nicolae Caprarescu
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 6m 52s | Size: 184.8 MB

Relationships in business and operational data do not always follow a straight line, and choosing too little or too much flexibility can weaken a regression analysis.

Relationships in business and operational data do not always follow a straight line, and choosing too little or too much flexibility can weaken a regression analysis. In this course, Nonlinear Regression Models, you'll gain the ability to recognize nonlinear structure and select regression approaches that represent it clearly. First, you'll explore visual and statistical signals of nonlinearity through an analysis of the estimated cost of generating electricity at potential offshore wind power plant sites. Next, you'll discover how predictor expansion, interactions, and polynomial regression capture complex relationships, and how cross-validation supports degree selection. Finally, you'll learn how extrapolation affects interpretation and how splines and generalized additive models represent flexible relationships. When you're finished with this course, you'll have the skills and knowledge of nonlinear regression modeling needed to choose, evaluate, and interpret models for workplace data

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• views: 176
• date: 16 September 2026
• posted by: 0nelove

OWASP MCP Top 10: Model Context Protocol AI Security Pro
Published 9/2026
Created by ACHRAF ER-RAYA
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 6 Lectures ( 1h 34m ) | Size: 1.1 GB

Master the OWASP MCP Top 10 — find, exploit, and fix Model Context Protocol vulnerabilities before attackers do.

What you'll learn
⚡ Identify and defend against the OWASP MCP Top 10 vulnerabilities in enterprise Model Context Protocol and AI agent architectures.(126 characters)
⚡ Sanitize inputs and prevent Indirect Prompt Injections from tricking LLMs into executing malicious downstream tool calls.
⚡ Implement production-ready Python wrappers to enforce authorization, schema validation, and Human-in-the-Loop controls.
⚡ Audit, threat-model, and penetration-test local and remote MCP server integrations against Tool Poisoning attacks.

Requirements
❗ Basic familiarity with Python, JSON, and general API security concepts. No prior AI security experience required.

Description

This course contains the use of artificial intelligence.

Every AI agent you connect to a tool, file system, or API through MCP is a new door into your infrastructure — and most teams haven't locked it yet.

Who this course is for
⭐ AppSec engineers, software developers, and system architects building or securing enterprise AI models, tools, and MCP integrations.

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• date: 16 September 2026
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Enterprise Architecture Decisions & Future-Ready Design 2026
Published 9/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 5h 31m | Size: 6.5 GB

Master architecture trade-offs, decision frameworks, AI governance, data products, observability, and future-ready enter

What you'll learn
Evaluate enterprise architecture trade-offs and make practical, defendable decisions.
Apply decision frameworks when requirements, constraints, and information are incomplete.
Identify architecture anti-patterns and avoid overengineering in enterprise solutions.
Compare build vs buy vs managed services and evaluate vendor lock-in strategically.
Design future-ready architectures using data products, contracts, observability, metadata, and knowledge layers.
Apply AI governance, Agentic AI security, LLMOps, AgentOps, privacy, and compliance principles.
Design self-service data platforms using platform engineering and governed delivery patterns.
Communicate architecture recommendations clearly to executives and stakeholders.

Requirements
Basic understanding of data, BI, cloud, or enterprise systems is helpful but not mandatory.
No programming experience is required.
No specific cloud platform or BI tool is required.
Prior exposure to solution architecture, data architecture, BI architecture, or cloud architecture will help learners get more value from the course.
Learners should have an interest in moving toward senior architect or enterprise architect responsibilities.

Description
Phase 5 brings the entire Enterprise Architecture Series together.
Enterprise architecture is not just about choosing technologies. It is about making the right decisions when business priorities, requirements, budgets, risks, and technologies are constantly changing.

In this course, you will learn how enterprise architects evaluate trade-offs, work with incomplete information, avoid common anti-patterns, balance practical design with overengineering, and decide between build, buy, and managed-service options.

You will also learn how to evaluate vendor lock-in, document architecture decisions, communicate effectively with executives, and develop the broader skills required to become an enterprise architect.

The second half of the course focuses on the next generation of enterprise architecture for 2026–2027. You will explore data products, data contracts, data observability, active metadata, catalogs, lineage, knowledge layers, AI governance, agentic AI security, LLMOps, AgentOps, privacy, data sovereignty, clean rooms, partner analytics, self-service data platforms, and platform engineering.

Finally, we bring everything together through a complete enterprise architecture master scenario and a future-ready architecture blueprint.

By the end of this course, you will be able to evaluate complex architecture scenarios, communicate your decisions clearly, and design enterprise platforms that are practical, governed, scalable, AI-ready, and aligned with business goals
This course used AI to create some of the content

Who this course is for
Solution Architects who want to grow into Enterprise Architect roles.
Data Architects, BI Architects, Cloud Architects, and AI Architects who want a broader enterprise perspective.
Technical Leads, Senior Developers, and Engineers involved in architecture decisions.
Consultants who need to design and communicate enterprise-scale solutions to clients.
Data and BI professionals moving toward architecture and leadership roles.
Architects who want to understand modern topics such as data products, observability, Agentic AI, AI governance, and platform engineering.
Technology leaders who need to evaluate architecture choices based on business value, risk, cost, and long-term sustainability.

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• views: 209
• date: 16 September 2026
• posted by: 0nelove

Kali Linux & Shell Scripting: Learn Linux for Cybersecurity
Published 9/2026
Created by SOCProfessionals Leading SOC & IR trainings
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 51 Lectures ( 7h 48m ) | Size: 4.1 GB

Learn Kali Linux, Linux commands, Bash scripting, security tools, automation, and practical command-lines from scratch

What you'll learn
⚡ Master essential Kali Linux commands for navigating, managing files, users, processes, permissions, networking, and system administration.
⚡ Learn shell scripting from the fundamentals and create practical Bash scripts to automate repetitive Linux administration and security tasks.
⚡ Work confidently with Linux files, directories, permissions, processes, environment variables, pipes, redirection, grep, awk, sed, and other powerful commands.
⚡ Build real-world automation scripts using variables, conditions, loops, functions, command-line arguments, and error handling in Bash.

Requirements
❗ No prior Kali Linux or shell scripting experience is required. Basic computer knowledge is helpful, and learners should have access to a computer where Kali Linux can be installed or run in a virtual machine.

Description

Kali Linux & Shell Scripting: Master Ethical Hacking Automation
Take your Linux and cybersecurity skills to the next level with this practicalKali Linux and Shell Scripting course.

This course is designed for beginners and aspiring cybersecurity professionals who want to understand theLinux command line, Kali Linux, security tools, and shell scripting through practical, easy-to-follow lessons.

With51 carefully structured videos, you will learn essential Linux commands, explore commonly used security tools available in Kali Linux, and build a strong foundation in shell scripting and automation.

What You'll Learn

✨33 Essential Linux Commands
Master the most important Linux commands used for file management, navigation, permissions, processes, networking, system administration, and everyday command-line tasks.

✨8 Kali Linux Security Tools
Get introduced to practical security tools available in Kali Linux and understand their purpose, basic usage, and role in cybersecurity workflows.

✨Shell Scripting & Automation
Learn how to create and execute shell scripts, work with variables, conditions, loops, functions, command-line arguments, and other scripting concepts to automate repetitive tasks.

Course Highlights

✨ 51 practical video lessons

✨ 33 essential Linux commands

✨ 8 Kali Linux security tools

✨ Hands-on shell scripting

✨ Linux command-line fundamentals

✨ Bash/Shell automation concepts

✨ Practical cybersecurity-oriented examples

✨ Beginner-friendly explanations

✨ Learn by practicing in Kali Linux

Who Is This Course For?

This course is ideal for

✨ Beginners learning Linux and Kali Linux

✨ Students interested in cybersecurity and ethical hacking

✨ Aspiring penetration testers

✨ System and network administrators

✨ IT professionals who want to improve their Linux skills

✨ Anyone interested in Shell/Bash scripting and automation

By the End of This Course

You will have a solid foundation inKali Linux, essential Linux commands, cybersecurity tools, and shell scripting. You will be able to confidently work with the Linux command line and start creating scripts to automate common tasks.

Start your journey into Kali Linux, Shell Scripting, and cybersecurity today!

Who this course is for
⭐ This course is designed for beginners and IT professionals who want to learn Kali Linux commands and Bash shell scripting from the ground up. It is ideal for aspiring cybersecurity professionals, Linux administrators, DevOps engineers, system administrators, penetration testing beginners, and anyone who wants to automate tasks using shell scripts.

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• date: 16 September 2026
• posted by: voska89

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