• views: 151
• date: 6 October 2026
• posted by: 0nelove

Teamwork That Actually Works
Released 10/2026
With Ashley Herd
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 57m | Size: 393.1 MB

Learn how to build the habits—psychological safety, shared direction, clear roles, and dependability—that make teams actually work, whether you're on the team or leading it.

Course details
Talent doesn't build a team—teamwork does. Ashley Herd, LinkedIn Top Voice and founder of Manager Method, breaks down the everyday habits that make teams click: no jargon, no quick fixes. Start with the four ingredients research says matter most: psychological safety, a shared vision, clear roles, and dependability. Then learn how to show up as a teammate people can count on—communicating with clarity, context, and a call to action, knowing when to speak up or listen, giving and receiving feedback well, and taking initiative without overstepping. Move into the harder moments: handling conflict, addressing a teammate who isn't pulling their weight, avoiding groupthink, and setting team norms for how you use AI. Finally, if you lead a team, get practical moves for building culture, running meetings people show up for, holding people accountable without micromanaging, and advocating for your team in the wider organization.

Skills covered
Teamwork

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• views: 167
• date: 6 October 2026
• posted by: 0nelove

SharePoint Site Collection and Site Management
Released 10/2026
By Liam Cleary
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 35m 22s | Size: 251.4 MB

Organizations often create SharePoint sites without consistent governance, lifecycle management, or configuration standards, leading to disorganized collaboration environments and administrative challenges.

Organizations often create SharePoint sites without consistent governance, lifecycle management, or configuration standards, leading to disorganized collaboration environments and administrative challenges. In this course, SharePoint Site Collection and Site Management, you'll gain the ability to create, configure, and manage SharePoint Online site collections and sites using modern Microsoft 365 administration tools. First, you'll explore how to provision and configure site collections, team sites, communication sites, and hub sites. Next, you'll discover how to manage the site collection lifecycle, including deletion, restoration, and retention management. Finally, you'll learn how to configure site-level settings, branding, navigation, and automation using site designs and site scripts. When you're finished with this course, you'll have the skills and knowledge of SharePoint site management needed to effectively administer and govern SharePoint Online environments.

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• views: 252
• date: 6 October 2026
• posted by: 0nelove

Python for AI Agents: Build And Deploy Agent From Scratch
Last updated 9/2026
Created by Prasad Yarra
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 13 Lectures ( 1h 54m ) | Size: 1021.9 MB

Perceive-think-act, tools, memory, ReAct, and a real Gemini agent - deployed to AWS and torn down on screen.

What you'll learn
⚡ Build a working AI agent in plain Python with zero frameworks and zero external dependencies
⚡ Implement the perceive-think-act loop that underlies every agent architecture
⚡ Give an agent real tools using a function-calling pattern with a registry and dispatcher
⚡ Design short-term (context window) and crash-safe, atomic-write long-term memory for an agent
⚡ Implement the ReAct reasoning pattern and multi-step task planning from scratch
⚡ Connect a real LLM (Google Gemini) and let it choose which tools to call
⚡ Deploy a production agent to AWS Bedrock AgentCore using Terraform
⚡ Add retry logic that survives real rate limits, and harden a deployment with Secrets Manager, least-privilege IAM, and CloudWatch monitoring

Requirements
❗ Comfortable with core Python: functions, classes, dictionaries, basic file I/O
❗ No prior AI/ML or cloud experience needed
❗ A computer that can run Python 3.10+ (any OS)
❗ For Module 5 only: a free Google Gemini API key and an AWS account (only needed if you want to follow the live deployment lessons yourself)

Description
This course contains the use of artificial intelligence. All lectures use AI-generated voice narration.

You can build an AI agent in a few lines with a framework. But when it does something unexpected, would you know why?

This course shows you what's actually going on inside an agent - by building one yourself, from a 30-line rule-based loop all the way to a real Gemini-powered agent deployed on AWS Bedrock AgentCore with Terraform, monitored, and torn down again, on screen.

The screen recordings were captured while writing and running the code, not edited afterward to skip the mistakes. When something breaks -- a wrong log group, a retry that never fires, a rate limit hit -- you see the bug and the fix, because that's how you learn what the code does.

You'll build, in order

✅ A minimal rule-based agent using nothing but the Python standard library

✅ A reusable perceive-think-act loop

✅ A tool-calling system (calculator, clock, text utilities) with a registry and dispatcher

✅ Short-term memory (conversation history / context windows) and durable long-term memory (crash-safe atomic file writes)

✅ A ReAct-style reasoning loop and a multi-step planner, from scratch, no framework

✅ A real agent backed by Google's Gemini API, choosing which of your tools to call

✅ A production deployment of that agent to AWS Bedrock AgentCore, provisioned with Terraform

✅ Retry logic that survives real rate limits - you'll fire concurrent requests, hit a real 429, and watch it recover

✅ A hardened, secured version: secrets in AWS Secrets Manager, least-privilege IAM, real CloudWatch monitoring - and a real terraform destroy to close it all out

Along the way you also get

✅ Hands-on exercises for every module, with worked solutions

✅ A short quiz plus a "debug this" challenge after every lesson

✅ A capstone project - a Research Notes Agent combining tools, durable memory, and multi-step Gemini reasoning in one build, with a starter (TODOs included) and a finished solution

If you already know some Python and want to understand how an AI agent actually works by building one yourself, this course is for you.

Who this course is for
⭐ Python developers who want to understand how AI agents work under the hood, not just call a framework
⭐ Developers evaluating agent frameworks (LangChain, Strands, etc.) who want to know what those frameworks are doing for them
⭐ Anyone who wants a real, working example of deploying and hardening an LLM agent in production on AWS

Homepage

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• views: 119
• date: 6 October 2026
• posted by: 0nelove

Palo Alto Panorama Bootcamp: Firewall Management & Logging
Last updated 9/2026
Created by Yugendhira M
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 40 Lectures ( 5h 47m ) | Size: 3.6 GB

Master Palo Alto Panorama with step by step LAB covering Device Group, Template, Logging, Upgrades & Troubleshooting

What you'll learn
⚡ Introduction to Panorama, key features, Panorama Modes
⚡ Deployment modes of Panorama Device
⚡ Configure and Manage Palo Alto Panorama
⚡ Adding Managed Firewalls to Panorama
⚡ Templates and Device Groups
⚡ Device and Firewall management using Panorama Device Groups and Templates including template variables
⚡ Firewall log forwarding to Panorama, including traffic, system, configuration etc.
⚡ Firewall Upgrade using Panorama
⚡ Types of Panorama Commits

Requirements
❗ Basic knowledge on Palo Alto firewalls
❗ Administrating the Palo Alto Firewalls
❗ Basic knowledge on Networking
❗ PCNSA or PCNSE

Description
Master Palo Alto Networks Panorama and learn how to manage multiple Palo Alto firewalls from one centralized platform.

Managing firewalls individually can be time-consuming and difficult, especially when an organization has multiple branches and data centers. Panorama simplifies this process by allowing administrators to centrally manage firewall configurations, policies, templates, software updates, logs and reports.

This practical, hands-on course is designed for network engineers, security engineers, firewall administrators and IT professionals who want to develop real-world Panorama administration skills.

The course explains every concept in simple English and demonstrates the configurations through practical labs and real-world scenarios.

What You Will Learn

* Understand the purpose, architecture and benefits of Palo Alto Panorama

* Deploy and perform the initial configuration of Panorama

* Connect and manage multiple Palo Alto firewalls from Panorama

* Organize managed firewalls using Device Groups

* Configure Templates and Template Stacks

* Centrally manage network and device configurations

* Create and manage Security Policies and NAT Policies

* Use Shared, Pre-Rule and Post-Rule policies effectively

* Push configurations from Panorama to managed firewalls

* Configure centralized log collection and log forwarding

* Monitor Traffic, Threat, System and Configuration logs

* Perform Panorama and managed-firewall software upgrades

* Troubleshoot common Panorama connectivity and configuration issues

* Follow recommended practices for managing a multi-firewall environment

Hands-On Learning

This is not just a theory-based course. You will follow step-by-step practical labs that help you understand how Panorama is used in real network environments.

Downloadable lab topologies and configuration resources are provided so that you can build the setup and practice independently.

By the End of This Course, You will be able to confidently deploy and administer Palo Alto Panorama, centrally manage multiple firewalls, push consistent configurations and security policies, collect logs, monitor network activity and handle common operational tasks.

This course also strengthens the Panorama knowledge required for advanced Palo Alto Networks roles and certification preparation, including PCNSE.

Who Should Enroll?

* Network Security Engineers

* Palo Alto Firewall Administrators

* Network Engineers

* Security Operations Professionals

* IT Administrators

* Technical Support Engineers

* Students preparing for Palo Alto Networks job roles or certifications

* Anyone who wants to learn centralized firewall management

Requirements

* Basic understanding of networking concepts

* Basic knowledge of firewalls and network security

* Familiarity with Palo Alto firewalls is helpful but not mandatory

* A lab environment is recommended for hands-on practice

Start learning today and build the practical Panorama skills needed to manage Palo Alto firewalls efficiently from a single centralized platform.

Who this course is for
⭐ Palo Alto Firewall Administrators
⭐ Network Security Engineers
⭐ Network Engineers
⭐ Security Operations Professionals
⭐ IT Administrators
⭐ Technical Support Engineers
⭐ Anyone who wants to learn centralized firewall management

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• views: 203
• date: 6 October 2026
• posted by: 0nelove

Master German: 800 Real-Life Conversations -Deutsch Lernen
Published 10/2026
Created by Tchokouaha Tientcheu
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 20 Lectures ( 8h 55m ) | Size: 8.8 GB

Improve German listening, speaking, pronunciation and vocabulary with 800 practical real-life conversations

What you'll learn
⚡ Understand German through practical, real-life conversations
⚡ Improve German listening comprehension with natural dialogues
⚡ Speak more confidently in common everyday situations
⚡ Improve pronunciation by listening, repeating, and practicing aloud
⚡ Learn useful German vocabulary, expressions, and sentence patterns
⚡ Understand German dialogues with the help of English translations
⚡ Develop a more natural understanding of German grammar in context
⚡ Communicate more effectively while traveling, studying, or living in German-speaking countries

Requirements
❗ No prior knowledge of German is required
❗ A willingness to listen, repeat, and practice German regularly
❗ A computer, tablet, or smartphone with internet access
❗ Headphones or speakers are recommended for the best listening experience

DescriptionThis course contains the use of artificial intelligence.
Master German with 800 Real-Life Conversations is a practical and immersive German course designed to help you understand, speak, and use German with more confidence in everyday situations.

Instead of focusing mainly on isolated grammar rules or long vocabulary lists, this course helps you learn German through realistic conversations. You will listen to practical dialogues, follow the German text together with English translations, and practice speaking through repetition.

The course includes800 real-life German conversations covering situations you may encounter while traveling, studying, working, or living in a German-speaking country.

You will practice topics such as

✨ Greetings and introductions

✨ Shopping and payments

✨ Restaurants and cafés

✨ Airports and public transportation

✨ Hotels and travel

✨ Asking for directions

✨ Work and professional situations

✨ Appointments and everyday errands

✨ Hobbies and social conversations

✨ Everyday questions and responses

Each dialogue is designed to help you develop several important German skills at the same time.

You will improve yourlistening comprehension by hearing complete conversations in German. You will strengthen yourpronunciation and speaking skills by listening and repeating sentences aloud. You will also learn useful vocabulary, expressions, and sentence structures naturally through context.

English translations help you understand the meaning of each conversation, making the course accessible even if you are still at the beginning of your German-learning journey.

This course is suitable forcomplete beginners, A1 learners, travelers, students, professionals, and intermediate learners who want additional listening and speaking practice.

You can study at your own pace and repeat the lessons as often as necessary. The goal is not simply to memorize German, but to become familiar with the language as it is used in practical communication.

By the end of the course, you will have been exposed to hundreds of useful German phrases and conversational patterns that can help you communicate more naturally and confidently.

Start practicing today and make German part of your everyday life.

Who this course is for
⭐ Complete beginners who want to start understanding and speaking German
⭐ German learners who want to improve their listening and pronunciation
⭐ Travelers preparing to visit Germany or other German-speaking countries
⭐ Students who want to expand their practical German vocabulary
⭐ Professionals who need German for work or everyday communication
⭐ Intermediate learners who understand grammar but need more speaking practice
⭐ Language enthusiasts who enjoy learning through practical conversations
⭐ Anyone who wants to become more confident in real-life German conversations

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• views: 218
• date: 6 October 2026
• posted by: 0nelove

Jev AI: Build Reliable AI Decision Systems with Jev AI
Last updated 9/2026
Created by Tom Phillips, WebDevEducation (Tom Phillips)
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 13 Lectures ( 55m ) | Size: 1.2 GB

Use Jev AI to build real AI decision systems, with TypeSafe Jev AI, decision logic, validation + real-world use cases

What you'll learn
⚡ Connect Jev to a modern Next.js and TypeScript application
⚡ Master Jev primitives including Noul, Choice, and Score
⚡ Build AI-powered decision logic using TypeSafe's Jev AI
⚡ Create structured decisions using a real-world project example
⚡ Build a supplement claims analyzer from scratch
⚡ Handle probabilities and confidence when making AI decisions

Requirements
❗ No previous experience with Jev or TypeSafe AI required
❗ A TypeSafe AI account and API key will be required during the course

Description
Learn how to useJev to build reliable, structured AI decision systems with TypeScript and Next.js.

In this course, you'll learnJev from the ground up and see how it can be used to make AI outputs more controlled, predictable, and useful inside real applications.

Instead of asking an LLM to return arbitrary free-form text,Jev lets you structure AI decisions around predefined questions, choices, scores, and application state. This makes Jev a strong fit for systems where you need AI to make consistent judgments that can be safely used by your application logic.

Throughout the course, you'll learn how to work with the coreJev primitives, structure questions effectively, pass relevant context into Jev, manage state, process multiple decisions, and combine AI judgments with deterministic TypeScript logic.

You'll build everything inside a modernNext.js application using TypeScript, @typesafe-ai/sdk, and shadcn/ui, so you'll see how Jev fits into a real full-stack development workflow rather than just isolated examples.

We'll also explore how to design more advancedJev workflows, including structured criteria, dynamic questions, scoring, validation, decision pipelines, and working with external domain knowledge.

A practical project is used throughout the course to demonstrate these concepts in a realistic application, taking you from your first Jev request through to a complete AI-powered decision workflow.

By the end of the course, you'll understand howJev works, how to integrate Jev into a Next.js application, and how to design structured AI decision systems for your own projects.

Whether you're building validation tools, compliance systems, classification workflows, risk assessments, content analysis, internal tools, or other AI-powered applications, the techniques in this course will give you a practical foundation for working withJev in real-world software.

Who this course is for
⭐ Anyone who want to learn Jev by building a practical, real-world project

Homepage

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