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AI Supply Chain Dashboard with Gemini, Sheets & GitHub
Published 10/2026
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 30m | Size: 970.04 MB

Build AI-powered supply chain dashboards using Google Sheets, Gemini AI, data visualization, and GitHub.

What you'll learn
Build an AI-powered supply chain dashboard using Google Sheets, Gemini AI, and GitHub.
Access and import supply chain datasets from a GitHub repository into Google Sheets.
Use Gemini AI prompts to analyze supply chain data and generate dashboard components.
Identify and visualize key performance indicators (KPIs) for inventory, suppliers, costs, and delivery performance.
Create interactive charts, KPI cards, and data visualizations for supply chain reporting.
Use AI-assisted workflows to reduce manual effort when developing business analytics dashboards.
Organize dashboard project files in GitHub and understand the workflow for publishing a compatible web dashboard.
Interpret supply chain analytics to identify performance trends, operational risks, and opportunities for business improvement.

Requirements
No prior experience in AI-powered dashboard development is required. Beginners are welcome.
A Google account to access Google Sheets and use Gemini features, subject to account eligibility and availability.
A computer or laptop with a modern web browser and a stable internet connection.
Basic familiarity with spreadsheets and tabular data is helpful, but not mandatory.
A GitHub account is recommended if you want to save, manage, or publish your dashboard project.
No programming experience is required to get started, although familiarity with HTML, CSS, or jаvascript may be helpful for understanding or customizing generated dashboard code.

Description
Build an AI-Powered Supply Chain Dashboard with Gemini, Google Sheets & GitHub

Want to transform raw supply chain data into an interactive business dashboard using AI? In this hands-on course, you will explore how Google Sheets, Gemini AI, and GitHub can work together in a practical supply chain analytics workflow.

You will learn how to access a supply chain dataset from GitHub, explore the available data, and use Google Sheets as part of your analytics workflow. You will then discover how to use Gemini AI to assist with dashboard creation and turn business data into meaningful visual insights.

What you will learn
- Access and work with supply chain datasets from GitHub.

- Use Google Sheets to explore and prepare tabular business data.

- Apply Gemini AI prompts to assist with dashboard development.

- Understand supply chain KPIs and their importance in business reporting.

- Explore dashboard components, charts, and visual representations of data.

- Understand how GitHub can support project organization and sharing.

- Discover how AI-assisted analytics can help reduce repetitive dashboard development work.

- Interpret dashboard insights to support supply chain and operational decisions.

Who should take this course?
This course is suitable for supply chain professionals, logistics teams, business analysts, data analysts, operations managers, students, freshers, and working professionals interested in AI-powered business analytics.

Beginners are welcome. Basic spreadsheet familiarity is helpful, but advanced programming experience is not required to begin following the demonstrations.

Tools covered: Google Sheets, Gemini AI, and GitHub.

What do you need?
A computer, an internet connection, a web browser, and access to the relevant tools. Availability of Gemini features may depend on your Google account and region.

Join this practical learning experience and discover how AI-assisted workflows can help you approach supply chain dashboard development more efficiently.

Who this course is for
Supply chain and logistics professionals who want to visualize operational data and monitor key performance indicators (KPIs).
Business analysts and data analysts who want to build AI-powered dashboards using Google Sheets and Gemini AI.
Operations managers, team leaders, and professionals who want to turn raw supply chain data into actionable business insights.
Students and freshers who want hands-on experience with AI-assisted analytics, dashboard development, and GitHub.
Excel and Google Sheets users who want to explore AI-powered approaches to data visualization and business reporting.
Professionals interested in using Gemini AI to accelerate dashboard creation and reduce repetitive manual work.
Beginners who want to explore a practical workflow combining Google Sheets, Gemini AI, and GitHub to create and share a supply chain analytics project.

Homepage

https://www.udemy.com/course/gemini-ai-supply-chain-dashboard/

https://rapidgator.net/file/70940660b963c392eae851e166962410/AI_Supply_Chain_Dashboard_with_Gemini,_Sheets_&_GitHub.rar.html

https://nitroflare.com/view/4809EE880763B37/AI_Supply_Chain_Dashboard_with_Gemini%2C_Sheets_%26amp%3B_GitHub.rar

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• views: 56
• date: 22 October 2026
• posted by: DrZero

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AIGP - Artificial Intelligence Governance Professional
Published 10/2026
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 11h 55m | Size: 6.18 GB

Mastering Responsible AI, Risk Management, Compliance, and Enterprise Governance

What you'll learn
Core concepts of AI governance and responsible AI
AI risk management frameworks and methodologies
Regulatory and legal considerations affecting AI systems
Ethical principles and trustworthy AI practices
Data governance and privacy considerations for AI
AI accountability, transparency, and explainability
Governance structures, policies, and oversight models
Monitoring, auditing, and continuous improvement practices
Enterprise AI governance implementation strategies
Alignment of AI initiatives with business objectives and compliance requirements

Requirements
No prior AI governance experience is required.
Basic understanding of business operations, risk management, compliance, or information technology is helpful.
Interest in responsible AI, governance, ethics, and regulatory compliance.
Willingness to learn how organizations implement and manage AI governance programs.
Access to a computer with an internet connection.

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

Course Introduction

AIGP: Artificial Intelligence Governance Professional
Artificial Intelligence is rapidly transforming the way organizations operate, innovate, and compete. As AI adoption accelerates across industries, organizations face increasing challenges related to ethics, governance, risk management, regulatory compliance, transparency, and responsible AI deployment. The ability to govern AI effectively is no longer optional. It is a critical business requirement.

The Artificial Intelligence Governance Professional (AIGP) course is designed to equip business leaders, governance professionals, risk managers, compliance officers, security practitioners, legal teams, and technology professionals with the knowledge and skills needed to establish, manage, and oversee responsible AI programs. This course provides a comprehensive understanding of AI governance frameworks, policies, regulatory considerations, risk management practices, and organizational controls that help ensure AI systems are trustworthy, transparent, secure, and aligned with business objectives.

Throughout this course, learners will explore the principles of responsible AI, emerging legal and regulatory requirements, AI risk assessment methodologies, governance structures, ethical considerations, data governance practices, and ongoing monitoring requirements. Students will gain practical insights into implementing governance programs that balance innovation with accountability while helping organizations manage AI-related risks and compliance obligations.

By the end of this course, participants will understand how to develop and support enterprise AI governance initiatives, evaluate AI risks, establish effective oversight mechanisms, and contribute to the responsible and compliant use of artificial intelligence within their organizations. Whether you are pursuing the AIGP certification or seeking to strengthen your organization's AI governance capabilities, this course provides the foundational and practical knowledge needed to succeed in today's AI-driven business environment.

What You Will Learn
- Core concepts of AI governance and responsible AI

- AI risk management frameworks and methodologies

- Regulatory and legal considerations affecting AI systems

- Ethical principles and trustworthy AI practices

- Data governance and privacy considerations for AI

- AI accountability, transparency, and explainability

- Governance structures, policies, and oversight models

- Monitoring, auditing, and continuous improvement practices

- Enterprise AI governance implementation strategies

- Alignment of AI initiatives with business objectives and compliance requirement

Course Prerequisites
There are no formal prerequisites for this course. However, a basic understanding of business operations, risk management, compliance, information technology, or artificial intelligence concepts will be beneficial.

Who this course is for
Governance, Risk, and Compliance (GRC) professionals
Information Security and Cybersecurity practitioners
Privacy and Data Protection professionals
Legal and Compliance specialists
Internal Auditors and Risk Managers
AI Program Managers and Project Leaders
Business Executives and Decision Makers
Technology Leaders, Architects, and Consultants
Professionals pursuing the AIGP certification
Anyone responsible for implementing or overseeing AI initiatives

Homepage

https://www.udemy.com/course/aigp-artificial-intelligence-governance-professional/

https://rapidgator.net/file/897d93f49faf17032fe57c85a137fae7/AIGP_-_Artificial_Intelligence_Governance_Professional.part7.rar.html
https://rapidgator.net/file/262fc3144138ba3c6f599b26898132fc/AIGP_-_Artificial_Intelligence_Governance_Professional.part6.rar.html
https://rapidgator.net/file/d0a5e9c98d3ba539d1ec5543476f932a/AIGP_-_Artificial_Intelligence_Governance_Professional.part5.rar.html
https://rapidgator.net/file/b4c54c4e4d4d47d738fb22abc5b7553c/AIGP_-_Artificial_Intelligence_Governance_Professional.part4.rar.html
https://rapidgator.net/file/8db3d032f929843db4ac68b19dbf6b0e/AIGP_-_Artificial_Intelligence_Governance_Professional.part3.rar.html
https://rapidgator.net/file/2b2b020d3bc7ea38cabbeae71789aee1/AIGP_-_Artificial_Intelligence_Governance_Professional.part2.rar.html
https://rapidgator.net/file/5985d4ea0e659c78699751063b7cf6a1/AIGP_-_Artificial_Intelligence_Governance_Professional.part1.rar.html

https://nitroflare.com/view/C54FA4578CB243A/AIGP_-_Artificial_Intelligence_Governance_Professional.part7.rar
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https://nitroflare.com/view/F3A661DC08726E7/AIGP_-_Artificial_Intelligence_Governance_Professional.part1.rar

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• views: 49
• date: 22 October 2026
• posted by: 0nelove

Airports : Threats to Civil Aviation - Staff Awareness
Published 10/2026
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 43m | Size: 238.46 MB

Why aviation is a target, the six categories of threat, and your part in noticing and reporting. Awareness only.

What you'll learn
Explain why civil aviation is viewed as an attractive target, and why understanding this is about purpose, not fear.
Name the main sources of threat to civil aviation, and explain why no single profile defines a threat source.
Identify the six broad categories of threat, from hijacking and sabotage to cyber, insider and in-flight security incidents.
Describe the general countermeasures used for each category of threat, at awareness level and without technical detail.
Recognise four emerging threat areas, including drones and artificial intelligence, and explain why security training is refreshed and repeated.
Explain why no single security measure is enough, and how screening, access control, cyber security and insider awareness work together as layers.
Explain why consistent procedures reduce reliance on any one individual, and why reporting a concern is not an accusation.
Describe what you can do in your own role: notice what people do, not who they are, follow procedures, and report concerns through the official channel.
Apply the golden rule, if in doubt, report it, to four illustrative scenarios, putting your own organisation's procedures first.
Recognise the limits of this awareness course: it gives you no authority to screen, search, detain, challenge or vet anyone.

Requirements
No previous aviation security knowledge is needed: the course starts from why aviation is seen as a target.
You should be willing to read the course alongside your own organisation's procedures and the rules of the country where you work.
You need a computer, tablet or phone to watch the narrated lessons and take the module quizzes.

Description
This course contains the use of artificial intelligence.

Civil aviation moves people and goods across borders at a scale and speed that few other forms of transport can match. That importance is part of why it receives so much careful attention from security professionals, and why every person who works in it has a part to play. This course helps you understand, in calm and plain language, where threats to civil aviation can come from, how they are grouped, why aviation security is built in layers, and where you fit.

What this course is, and what it is not

Please read this part first. This is an awareness course. It does not train, authorise or qualify anyone to carry out screening, searches, access-control challenges, vetting or any other security function, and it is not legal advice. It does not replace your organisation's own procedures, your national civil aviation security programme, local law or any role-specific or required security training. It describes threats in general terms only. Laws and procedures differ between countries and between organisations, and sensitive operational details are shared only through approved channels. Where this course and your employer's procedures or the law where you work differ, your employer's procedures and the law where you work come first.

The course is not approved, endorsed, accredited or recognised by any regulator, authority, airline or industry body, and nothing in it gives you a licence, a status or a record of competence. Your Udemy certificate of completion shows only that you finished an online awareness course. It does not show that you meet any security training requirement that your employer or your country may place on you, so please ask your supervisor which role-specific training applies to you.

What you will learn

The course has thirteen short modules, taken in order. We keep the tone calm and practical throughout, and we stay at the level of general awareness: you will not find technical or operational detail here.

Module 1, Why Civil Aviation Is a Target: You will learn why aviation's importance is the reason it is viewed as an attractive target, and why understanding this is about purpose, not fear.

Module 2, Sources of Threat: You will meet five general sources of threat, from organised groups and individuals acting alone to criminals, insiders and, in rarer cases, state actors, and learn why no single profile defines a threat source.

Module 3, Categories of Threat: You will see the six broad categories that give the rest of the course its map, and why different threats call for different measures.

Module 4, Unlawful Interference and Hijacking: You will learn the definition at awareness level, why this threat shaped so many measures you see in aviation today, and the four general families of countermeasure.

Module 5, Sabotage and Improvised Explosive Devices: You will learn what sabotage means, why keeping dangerous items off an aircraft is a central goal of the whole system, and how screening, sealing, chain of custody and access control each form a layer of the same defence. This is an awareness course, so we stay at the level of definition and give no technical detail.

Module 6, Standoff and Perimeter Threats: You will learn what a standoff threat is at definition level, and why security thinking does not stop at the fence line or the terminal doors.

Module 7, Cyber Threats to Aviation: You will see how much of aviation depends on digital systems, the four general categories of cyber risk, and the everyday habits that are within your reach.

Module 8, Insider Threat: You will learn what an insider threat is as a set of situations and not types of people, why consistent procedures matter, and why reporting a concern is not an accusation.

Module 9, Unruly Passengers and In-Flight Security: You will get a short introduction to serious unruly behaviour as a safety and security concern, the general countermeasures, and the early role that ground staff can play.

Module 10, Emerging Threats: You will look at four areas where the threat picture keeps changing, including drones and artificial intelligence, and why security training is refreshed and repeated over time.

Module 11, The Layered Security Response: You will see how five layers work together, why no single measure is enough, and why you do not need to defend against every threat yourself, and why you do need to perform your own part reliably.

Module 12, Your Role in Threat Awareness and Reporting: You will learn four things you can do in any role, a simple five-step habit for reporting well, and the golden rule: if in doubt, report it.

Module 13, Illustrative Scenarios: You will work through four short, generic scenarios, a drone sighting, a suspicious email, a colleague under pressure and a disruptive passenger, each shown with its suggested response.

How the course works

Each module is a series of short narrated slides that finishes with a module summary. A short Test Your Knowledge quiz follows every module so that you can check your own recall before you move on. The quizzes are self-checks: they are not an assessment of competence, and nothing in them leads to any status. You can go at your own pace and return to any lesson whenever you want a refresher.

There is also a free one-page Notice, Remember, Report pocket checklist to download. It is a reference for your own use. It gives you no authority to screen, search, detain, challenge or vet anyone, and it is not a record of training or competence.

How this course was made

The narration voice is AI-generated. The course was built with AI assistance from the instructor's own course outline, and the instructor reviews the finished course before it is published. Some of the images in the course are AI-generated illustrations, and any photographs we use have licence terms that allow commercial use. The scenarios are generic and do not describe any real event, person or place.

Take it into your day

The habits in this course are simple ones: notice what is happening in your own work area, follow your procedures consistently, and report a concern through the right channel instead of assuming someone else will. Describe what you saw and heard rather than guessing at reasons, and keep your focus on what people do, not on who they are. These habits carry across every role and every shift.

Who this course will help

You will get the most from this course if you work at an airport, an airline or a supporting organisation, in any role that touches passengers, baggage, cargo, aircraft, airport systems or the people who run them. It is written for beginners and assumes no security background. If you supervise a team or help to organise training, it gives you a clear awareness-level picture to share with your colleagues.

This course is not for you if you need training or authority to carry out screening, searches, access-control challenges or vetting, or if you need legal advice. It is awareness only.

Keep learning

Threats, programmes and procedures change over time, and they differ by country and by organisation. Treat this course as a starting point: find out what applies where you work today, keep your organisation's current procedures beside you, and ask your supervisor about any role-specific training you are expected to complete.

Enrol today and build the calm, practical awareness that helps you see where your role fits in protecting civil aviation.

Who this course is for
You work at an airport, an airline or a supporting organisation and want to understand the threats civil aviation faces and where your own role fits.
You are a check-in, baggage, ramp, cargo, catering, cleaning, maintenance or office colleague who is new to aviation security awareness.
You supervise a team or help to organise training and want an awareness-level overview to share, alongside any role-specific or required security training.
You are starting out in aviation and want a calm, plain-English picture of how threats are grouped and why security is built in layers.
This course is not for you if you need training or authority to carry out screening, searches, access-control challenges or vetting, or legal advice. It is awareness only.

Homepage

https://www.udemy.com/course/airports-threats-to-civil-aviation-staff-awareness/

https://www.uploadcloud.pro/1v2ujj7seidg/Airports_Threats_to_Civil_Aviation_-_Staff_Awareness.rar.html

https://rapidgator.net/file/e05c6adb2e6a78ebd7f06370f111ec1f/Airports_Threats_to_Civil_Aviation_-_Staff_Awareness.rar.html

https://nitroflare.com/view/965692ED8822C4D/Airports_Threats_to_Civil_Aviation_-_Staff_Awareness.rar

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• views: 37
• date: 22 October 2026
• posted by: 0nelove

Automate Your Office Work with Claude Cowork – No Coding
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English + subtitle | Duration: 57m | Size: 336.64 MB

Turn messy files, invoices and notes into finished spreadsheets, reports and decks — safely, and without writing code.

What you'll learn
Write any request as a clear outcome with the Delegation Card: goal, inputs, output, rules and done when
Turn a folder of messy PDF invoices into a clean expense tracker with totals and unpaid items flagged
Build a one-page status report and action list from scattered meeting notes
Turn a sales spreadsheet into a summary, a chart and a short slide deck
Research a topic on the web and get a one-page brief with a source for every fact
Catch confident mistakes with a quick three-check review before anything leaves your desk
Choose Manual or Auto permission mode and know what never to upload or automate
Make work repeatable with projects, skills and scheduled tasks

Requirements
A paid Claude plan. Pro (about $20/month) is enough for every exercise; the free plan covers most of the file tasks.
A computer with a web browser. No installs needed.
No coding or AI experience needed.

Description
This course contains the use of artificial intelligence.

Most people still use AI like a search engine: ask a question, copy the answer, paste it somewhere, and then do the actual work themselves.

Claude can now do the work. Claude Cowork is built into Claude: you hand it an outcome, like "turn these twelve invoices into an expense tracker and flag what's unpaid", and it reads the files, works through the steps and hands you back a finished spreadsheet.

In about an hour, you'll learn the one skill that makes this work: writing the outcome, not the question.
You'll practise it with theDelegation Card, five short lines (Goal, Inputs, Output, Rules, Done when) that turn a vague request into finished work. Then you'll use it on real office tasks, with a practice folder from a small, fictional design studio. You download it in lecture 3, so you can repeat every demo yourself, step by step.

What you'll build in this course
- A tidy, renamed downloads folder, with duplicates flagged and nothing deleted
- An expense tracker from twelve messy invoice PDFs, with totals and unpaid bills highlighted
- A one-page status report and action list from scattered meeting notes
- A sales summary, a chart and a five-slide deck from a spreadsheet
- A one-page research brief with a source link for every fact
- Polite payment-reminder drafts for clients who haven't paid (drafted, never sent)
- A project that remembers your company and style, a reusable skill, and a scheduled Monday briefing

And the part most tutorials skip: doing it safely
You'll learn what not to upload, when to use Manual or Auto permission mode, why web pages need extra care, and the three-check habit that catches a wrong number before anyone else sees it.

Who teaches this course
I'm Eason. I build apps and digital products with AI every day, and I use Claude to hand off the busywork of running them: research, reports, spreadsheets and admin. This course is the method I use, kept short and practical.

What's included
- 17 short video lectures (about an hour), all on real screens
- The practice folder (invoices, notes, sales data)
- A blank Delegation Card plus 20 ready-made cards for common office tasks
- A one-page safety checklist and a 7-day delegation plan
- 3 quizzes and a hands-on assignment

No coding, no terminal, no theory padding.

A note on the screens: Anthropic updates Claude often, and in September 2026 it merged Cowork into the regular Claude app. Buttons may look a little different on your screen. The way you delegate stays the same, and that's what this course teaches.

This course is independent and isn't affiliated with or endorsed by Anthropic. Claude and Claude Cowork are trademarks of Anthropic.

Who this course is for
Office professionals in marketing, sales, operations, finance, HR or project roles who use AI chat but have never handed it a whole task
Freelancers and small business owners who do their own admin: invoices, files, follow-ups and reports
Anyone who just got Claude at work and wants a first real result in an afternoon
Not for developers looking for Claude Code: there is no code and no terminal in this course

Homepage

https://www.udemy.com/course/claude-cowork-automate-office-work/

https://rapidgator.net/file/b3d8e626c25ddd73822e85d8d8f90891/Automate_Your_Office_Work_with_Claude_Cowork_No_Coding.rar.html

https://nitroflare.com/view/E91EDF0E0DE6247/Automate_Your_Office_Work_with_Claude_Cowork_No_Coding.rar

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• views: 46
• date: 22 October 2026
• posted by: 0nelove

Blender: First Person Animation for Unreal Engine 5
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 9h 19m | Size: 11 GB

Rig a Revolver, animate a complete FPS set in Blender and bring it to life on the UE5 Mannequin in Unreal Engine 5

What you'll learn
Full 10 Hour in detail First Person Shooter Animation Course
Learn How to Create a Rig in Blender
Assign Vertex Weights to Animate
Export and Set Up to Unreal Engine 5
Complete Animation Pipeline
Animate a First Person Game

Requirements
Basic Knowledge in Blender

Description
Learn how to create professional first-person weapon animations in Blender and bring them into Unreal Engine 5, fully game-ready on the UE5 Mannequin skeleton.

In this 9+ hour, step-by-step course, you'll build a complete FPS animation set for a revolver from scratch. Nothing is skipped: you'll see every key, every curve and every fix, exactly the way it's done in a real game production workflow.

Rig the weapon

You start by building a gun rig in Blender with its own armature, bone constraints and transform limits, so the revolver's moving parts work for firing and reloading.

Animate the full FPS set on the Epic skeleton

Idle

Walk

Run

Equip

Aim

Fire, plus the weapon's own fire animation

Reload, built across three lessons and polished until it feels snappy and satisfying

Along the way, you'll learn the techniques that make first-person animation feel good: setting up an efficient animation workspace, creating a reference pose, working with Euler rotation, using Child Of constraints to pass the gun between the hands, and keeping your animations clean and loopable.

Bring it into Unreal Engine 5

You'll learn the correct export settings from Blender and how to import the animations onto the UE5 Mannequin skeleton, so they work in your FPS project instead of breaking on import.

By the end of this course, you'll have a complete, game-ready first-person revolver animation set, and the skills to animate any weapon for your own FPS game.

Who this course is for
For Indie Game Developers
Anyone who wants to learn Animation

Homepage

https://www.udemy.com/course/blender-first-person-animation-for-unreal-engine-5/

https://www.uploadcloud.pro/wf3qykfg9252/Blender_First_Person_Animation_for_Unreal_Engine_5.part12.rar.html
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• views: 59
• date: 22 October 2026
• posted by: 0nelove

Build No-Code AI Agents with Microsoft Copilot Studio
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 2m | Size: 3.58 GB

Build, test, and publish a safe AI support agent that answers questions and creates real requests, with no coding.

What you'll learn
Explain what generative AI and AI agents are, and decide when a Copilot Studio agent is the right tool for a real business problem.
Create, configure, and test your first no-code agent in Microsoft Copilot Studio with clear instructions and a safe scope.
Ground your agent in trusted knowledge sources so it answers support questions accurately instead of guessing.
Build topics that collect details, branch on conditions, and ask the user to confirm before any action is taken.
Connect your agent to Power Automate to create SharePoint records and return a verified ticket ID in the chat.
Add human approval for urgent requests and handle failed actions honestly, without inventing success.
Test with a written test set, review least-privilege access, and publish your agent to a limited audience safely.
Diagnose problems using tracking, variables, and flow activity, then fix one cause and retest with confidence.

Requirements
A work or school Microsoft account with access to Copilot Studio, Power Automate, and SharePoint (a trial or developer tenant works).
No coding or AI experience is needed. Basic comfort with web apps and Microsoft 365 is enough.
A computer with a modern web browser and a stable internet connection.
Willingness to practice with fictional data in a separate practice environment.

Description
Build an AI agent that does more than chat. In this hands-on course, you'll use Microsoft Copilot Studio to create a Support Helper agent that answers questions from trusted knowledge, collects request details, asks for confirmation, and creates a real record in SharePoint, all without writing code.

Many beginner courses stop at a simple chatbot. This one goes further. You'll learn how to give your agent actions with Power Automate, add human approval for urgent requests, and handle failures honestly so the agent never invents a ticket number or claims success when nothing happened.

What you'll build and learn

- How generative AI and AI agents work, and when an agent is the right tool

- How to create, configure, and test your first agent in Copilot Studio

- How to ground your agent in knowledge sources so it answers accurately

- How to build topics that collect information, branch on conditions, and confirm before acting

- How to connect your agent to Power Automate flows that write records to SharePoint

- How to add human approval for urgent requests and fail safely

- How to write a test set, review least-privilege access, and publish to a limited audience

- How to diagnose problems with tracking, variables, and flow activity, then fix and retest

How the course works

Each module follows one connected project. You'll watch a short explanation, follow a step-by-step demo, and complete a practice task or assignment. Every example uses fictional data in a separate practice environment, so you can experiment safely.

Who this course is for

Beginners, business professionals, IT, HR, and operations teams, and Microsoft 365 users who want to build practical AI agents without becoming programmers.

What you need

A work or school Microsoft account with access to Copilot Studio, Power Automate, and SharePoint (a trial or developer tenant works). No coding or AI experience is required.

Note: Microsoft updates Copilot Studio often, so menu names and layouts may differ slightly from the videos. The lessons focus on the purpose of each step so you can follow along in any version.

Enroll now and build an AI agent you can test, trust, and publish.

Who this course is for
Beginners and business professionals who want to build useful AI agents without writing code.
IT, HR, operations, and support team members who want to automate request intake and common answers.
Microsoft 365 and Power Platform users ready to move from simple chatbots to agents that take real actions.
Team leads, analysts, and consultants who need to test, secure, and govern agents responsibly.

Homepage

https://www.udemy.com/course/build-no-code-ai-agents-with-microsoft-copilot-studio/

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• views: 54
• date: 22 October 2026
• posted by: DrZero

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• views: 58
• date: 22 October 2026
• posted by: 0nelove

Certificate in Women's Health and Maternal Nutrition
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 5h 53m | Size: 3.63 GB

Nutritional Care from Adolescence to Motherhood and Menopause

What you'll learn
Nutrition for Adolescent Girls
Women's Weight and Metabolic Health
Preconception and Pregnancy Nutrition
Lactation and Postpartum Nutrition
Menopause and Healthy Ageing
Menstrual Health and Premenstrual Syndrome
Practical Nutrition Application and Referral Awareness

Requirements
Open to all: Anyone interested in maternal nutrition and women's health can join.

Description
Certificate in Women's Health and Maternal Nutrition

Nutrition and Well-being from Adolescence to Motherhood and Menopause.

What Will Students Learn in This Course?
Students will learn how nutrition, physiological changes and lifestyle influence women's health from adolescence through pregnancy, breastfeeding and menopause. The course combines scientific concepts with practical food choices, meal-planning examples and case discussions.

1. Nutrition for Adolescent Girls
- Understand puberty, reproductive maturation and the nutritional demands of rapid growth.

- Learn the importance of adequate energy, protein, iron, calcium and vitamin D.

- Understand the relationship between menstrual blood loss, iron deficiency and anaemia.

- Assess dietary habits alongside growth patterns, menstrual history, physical activity and sleep.

- Recognise concerns related to restrictive dieting, body image, eating disorders and inadequate energy intake.

2. Women's Weight and Metabolic Health
- Understand the biological, behavioural, environmental and life-stage factors contributing to obesity.

- Learn how BMI, waist circumference, weight history and metabolic risk contribute to nutritional assessment.

- Explain the relationships between excess body fat, insulin resistance, PCOS, menstrual irregularity and fertility.

- Understand obesity-related risks, including type 2 diabetes, cardiovascular disease and fatty liver.

- Apply sustainable dietary, physical activity, sleep and behaviour-change principles to weight management.

3. Preconception and Pregnancy Nutrition
- Understand why nutritional preparation before conception supports maternal and fetal health.

- Explain the major physiological and hormonal adaptations of pregnancy.

- Learn how energy and protein requirements change as pregnancy progresses.

- Understand the roles of iron, folate, calcium, vitamin D, iodine, vitamin B12, choline and omega-3 fatty acids.

- Understand gestational weight gain in relation to pre-pregnancy nutritional status.

- Learn dietary approaches for common concerns such as nausea, constipation and heartburn.

- Understand nutrition principles relevant to gestational diabetes and anaemia.

- Apply pregnancy food-safety principles and recognise potentially harmful food, alcohol and supplement practices.

4. Lactation and Postpartum Nutrition
- Understand maternal recovery after childbirth and the nutritional priorities of the postpartum period.

- Explain how prolactin, oxytocin and effective milk removal support breastfeeding.

- Learn about increased energy, protein and selected micronutrient needs during lactation.

- Understand hydration, nutrient replenishment and postpartum anaemia.

- Identify common breastfeeding nutrition myths and unnecessary food restrictions.

- Learn the principles of gradual postpartum weight management while supporting recovery and breastfeeding.

- Recognise feeding difficulties, suspected low milk transfer and maternal symptoms requiring professional assessment.

5. Menopause and Healthy Ageing
- Distinguish perimenopause, menopause and postmenopause.

- Understand hormonal changes and their effects on symptoms, body composition and long-term health.

- Learn nutritional strategies to support bone strength, muscle preservation and cardiometabolic health.

- Understand the combined importance of calcium, vitamin D, protein and appropriate physical activity.

- Evaluate claims about soy, phytoestrogens and "natural hormone" supplements.

- Develop awareness of menopausal hormone therapy and when medical consultation is appropriate.

6. Menstrual Health and Premenstrual Syndrome
- Understand menstrual-cycle phases and the timing of premenstrual symptoms.

- Distinguish common premenstrual changes, PMS and PMDD.

- Learn how symptom tracking helps identify recurring patterns.

- Understand dietary approaches involving regular meals, fibre, protein, calcium-rich foods and balanced carbohydrate choices.

- Explore the roles of physical activity, sleep and stress management.

- Distinguish PMS from menstrual dysfunction associated with under-fuelling or excessive exercise.

7. Practical Nutrition Application and Referral Awareness
- Use familiar Indian foods to build balanced meal patterns suited to different life stages.

- Adapt food choices to dietary preferences, cultural practices, affordability and daily routines.

- Apply structured reasoning to case studies involving adolescent nutrition, obesity, pregnancy, postpartum recovery, menopause and PMS.

- Understand the difference between nutritional support, routine supplementation and treatment of diagnosed deficiencies.

- Recognise situations in which nutrition advice should be supported by medical, mental-health or specialist referral.

Course Requirements
-Open to all: Anyone interested in maternal nutrition and women's health can join.

-No prior knowledge required: Previous study or experience in nutrition, healthcare or biology is not necessary.

-Interest in learning: A willingness to understand nutrition and well-being across different stages of a woman's life.

-For online learning: A smartphone, tablet or computer with a reliable internet connection.

-Study materials: A notebook or digital device for taking notes and completing course activities.

Who Is This Course For?
This course is open to anyone interested in maternal nutrition and women's health.No prior knowledge or professional experience is required.

It is suitable for

-Women at different life stages who want to understand nutrition, menstrual health, weight management and menopause.

-Individuals planning pregnancy, expectant mothers and breastfeeding mothers seeking knowledge about maternal nutrition and postpartum recovery.

-Parents, partners and caregivers who want to support healthy food choices and well-being.

-Nutritionists, dietitians and healthcare professionals seeking to strengthen their knowledge of women's nutritional needs.

-Fitness trainers, health coaches and wellness professionals interested in nutrition across women's life stages.

-Students in nutrition, nursing, pharmacy, medicine and allied health who want to complement their studies.

-Community health workers and health educators involved in maternal and women's health awareness.

-Anyone with a personal interest in nutrition and healthy living, regardless of educational background.

Certificate in Maternal Nutrition and Women's Health-DESCRIPTION
This course provides a comprehensive understanding of the relationship between nutrition, physiological changes and women's health across key life stages—from adolescence and the reproductive years to pregnancy, lactation, postpartum recovery and menopause.

Students will explore adolescent growth and nutritional needs, menstrual health, premenstrual syndrome, obesity and metabolic health, alongside their connections with PCOS and reproductive well-being. The course covers preconception nutrition, maternal adaptations during pregnancy, changing nutrient requirements, gestational weight gain, food safety and dietary approaches to common pregnancy concerns.

The programme also examines breastfeeding physiology, maternal nutrition during lactation, postpartum nutrient replenishment and gradual weight management. Menopause-related learning focuses on preserving bone strength, muscle mass, metabolic health and quality of life through appropriate nutrition and lifestyle practices.

Practical Indian meal examples, case studies and discussions help learners connect scientific knowledge with everyday food choices. Throughout the course, students will learn to recognise nutrition myths, understand the responsible use of supplements and identify situations requiring medical or specialist referral.

The course develops knowledge to support informed, individualised nutrition education and healthy lifestyle practices within the learner's existing qualifications and professional scope.

Course Title
Certificate in Maternal Nutrition and Women's Health

Recommended Subtitle
Nutritional Care from Adolescence to Motherhood and Menopause

Other Subtitle Options
- Understanding Women's Nutrition Across Every Life Stage

- Supporting Women's Health Through Nutrition and Lifestyle

- Nutrition for Pregnancy, Postpartum Recovery and Lifelong Well-being

Module Titles
- Nutrition for Adolescent Girls

- Obesity and Metabolic Health in Women

- Preconception and Pregnancy Nutrition

- Lactation and Postpartum Nutrition

- Menopause and Healthy Ageing

- Menstrual Health and Premenstrual Syndrome

Who Is This Course For?
This course welcomes anyone interested in understanding maternal nutrition and women's health.No prior knowledge or professional experience is required.

-Women of all life stages — Learn about nutrition during adolescence, the reproductive years and menopause.

-Aspiring mothers, expectant mothers and breastfeeding mothers — Understand nutritional needs before pregnancy, during pregnancy and throughout postpartum recovery.

-Parents, partners and caregivers — Gain knowledge to support the nutritional well-being of women and adolescent girls.

-Nutrition and healthcare professionals — Strengthen existing knowledge of maternal nutrition and women's health.

-Fitness trainers and wellness coaches — Better understand women's changing nutritional and lifestyle needs.

-Students and community health educators — Build knowledge to support further learning and health awareness.

-Health enthusiasts — Make more informed food and lifestyle choices for personal and family well-being.

Who this course is for
This course is open to anyone interested in maternal nutrition and women's health. No prior knowledge or professional experience is required.

Homepage

https://www.udemy.com/course/certificate-in-womens-health-and-maternal-nutrition/

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• views: 43
• date: 22 October 2026
• posted by: 0nelove

Computerized System Validation Interview Questions & Answer
Published 10/2026
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 8m | Size: 3.48 GB

Master CSV interviews with 150+ questions on 21 CFR Part 11, GAMP 5, validation deliverables, testing, data integrity

What you'll learn
Explain key CSV concepts, GxP requirements, intended use, and the role of computerized system validation in pharmaceutical industries.
Describe 21 CFR Part 11, EU GMP Annex 11, GAMP 5, and ALCOA++ principles in the context of CSV interviews.
Explain the purpose of validation documents, including URS, FRS, SDS, traceability matrix, IQ, OQ, PQ, and Validation Summary Report.
Answer interview questions on the CSV lifecycle, SDLC, V-Model, Agile approaches, system implementation, and retirement.
Explain test scripts, positive and negative testing, regression testing, deviations, and failed test handling using practical examples.
Discuss audit trails, electronic Explain risk assessment, FMEA, records, electronic signatures, access controls, and data integrity in GxP computerized systems.
Prepare for advanced and scenario-based CSV interviews covering cloud and SaaS systems, data migration, CSA, and inspection readiness.

Requirements
No prior Computer System Validation (CSV) experience is required. A basic understanding of computers and an interest in the pharmaceutical, biotechnology, medical device, or life sciences industry will be helpful. Familiarity with GMP or other GxP concepts is beneficial but not mandatory. This course is suitable for beginners, freshers, and experienced professionals preparing for CSV interviews. All key concepts are explained through interview questions, practical examples, and real-world scenarios.

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

Master Computer System Validation (CSV) Interviews with Confidence
Are you preparing for aComputer System Validation (CSV) interview in the pharmaceutical, biotechnology, medical device, or life sciences industry? Do you want to understand how to answer technical, regulatory, and scenario-based interview questions with confidence?

This course,Computer System Validation (CSV) Interview Questions & Answers, is designed to help you prepare for CSV-related job interviews through practical explanations, important concepts, and real-world GxP examples.

Instead of simply memorizing definitions, you will learn how to explain CSV concepts clearly, connect regulatory expectations with practical situations, and structure your answers like a confident validation professional.

What Will You Learn?

Throughout this course, you will explore more than 100 interview questions and answers covering essential and advanced CSV topics, including

-CSV Fundamentals: GxP, intended use, computerized systems, qualification, and validation.

-Regulatory Requirements: 21 CFR Part 11, EU GMP Annex 11, GAMP 5, and data integrity principles.

-Validation Documentation: VMP, Validation Plan, URS, FRS, SDS, Traceability Matrix, IQ, OQ, PQ, and Validation Summary Report.

-Validation Lifecycle: SDLC, V-Model, Agile approaches, system implementation, maintenance, and retirement.

-Testing and Qualification: Test scripts, positive and negative testing, regression testing, deviations, and failed test handling.

-Electronic Records and Signatures: Audit trails, electronic signatures, access controls, and system security.

-Risk Management: Risk assessment, FMEA, critical functionality, and risk-based validation approaches.

-Data Integrity: ALCOA++ principles, user access management, audit trail review, and reliable electronic records.

-Advanced CSV Topics: Cloud and SaaS validation, infrastructure qualification, data migration, spreadsheet validation, and Computer Software Assurance (CSA).

-Operational Compliance: Periodic reviews, change control, revalidation, incident management, CAPA, disaster recovery, and inspection readiness.

-Scenario-Based Interviews: Practical questions involving failed OQ tests, audit trail issues, SaaS updates, data migration, and other real-world situations.

Who Should Take This Course?

This course is suitable for aspiring and working CSV Engineers, Computer System Validation Specialists, Validation Engineers, Quality Assurance professionals, IT Quality specialists, computerized systems compliance professionals, and CSV Leads preparing for interviews or strengthening their knowledge.

Whether you are a beginner entering the CSV field or an experienced professional preparing for a senior-level position, the course will help you revise important concepts and improve your interview approach.

What Makes This Course Useful?

You will learn how to move beyond one-line definitions and explain the principle, methodology, risk assessment, controls, and supporting evidence behind your answers. The course also covers common interview mistakes and includes mock interview scenarios to help you practice applying your knowledge.

By the end of the course, you will have a structured revision resource for CSV interviews and a stronger understanding of how computerized system validation supports patient safety, product quality, and data integrity in GxP-regulated environments.

Enroll today and take the next step toward preparing for your Computer System Validation interview with greater confidence.
Who this course is for
Freshers and beginners who want to start a career in Computer System Validation (CSV) in the pharmaceutical and life sciences industry.
CSV Engineers and Computer System Validation Specialists preparing for technical interviews and career advancement.
Validation Engineers and Quality Assurance (QA) professionals who want to strengthen their understanding of GxP compliance and computerized systems.
IT Quality, GxP Compliance, and Computerized Systems Compliance professionals preparing for CSV-related job interviews.
Experienced CSV professionals and aspiring CSV Leads preparing for advanced, senior-level, and scenario-based interview questions.

Homepage

https://www.udemy.com/course/computerized-system-validation-interview-questions-answer/

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• views: 43
• date: 22 October 2026
• posted by: 0nelove

Data Science Strategy & Business Analytics for Leaders
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 2m | Size: 1.1 GB

Master data science, data science strategy, business analytics, machine learning, AI for executives

What you'll learn
Understand data science and its business value
Develop a data science strategy aligned with business goals
Evaluate data quality, metrics, and decision readiness
Understand machine learning and AI applications for executives
Identify data science use cases across growth, operations, and risk
Design effective data science teams and operating models
Evaluate analytics tools, infrastructure, and build decisions
Apply experimentation, governance, and implementation planning

Requirements
No prior data science experience is required
Suitable for leaders, managers, and business professionals
Basic business or technology knowledge is helpful
No advanced programming, mathematics, or machine learning skills are required

Description
Disclosure: This course contains the use of artificial intelligence.

Data science helps organizations turn information into insights, improve business performance, and make better strategic decisions. This course provides a practical introduction todata science,data science strategy,business analytics,machine learning,AI for executives, anddata-driven decision making for leaders who want to understand how data and AI can create business value without becoming technical specialists.

Whether you're a business leader, founder, executive, manager, business analyst, or technology professional, this course provides a structured foundation for evaluating data science opportunities, aligning analytics with business goals, and making informed decisions about data-driven initiatives.

You'll begin by exploring the business value of data science and the foundations leaders need to understand before investing in analytics capabilities. The course explains how data science can support business growth, operational efficiency, risk management, customer understanding, and strategic planning.

The course then examines data, metrics, and decision readiness. You'll learn why data quality, relevant metrics, reliable information, and clearly defined business questions are essential for effective analysis. You'll also explore how organizations can determine whether their data and decision-making processes are ready to support analytics initiatives.

Next, you'll explore analytics, machine learning, and AI for executives. You'll develop an understanding of different analytical approaches, common machine learning applications, and the role of AI in business decision-making. The focus is on understanding business value, practical use cases, limitations, and implementation considerations rather than complex algorithms or coding.

The course also examines data science applications across growth, operations, and risk. You'll explore how organizations can use analytics to understand customer behavior, improve processes, support forecasting, identify risks, and evaluate business opportunities.

Teams, roles, and operating models are another important focus. You'll learn how organizations can structure data science teams, clarify responsibilities, encourage collaboration, and connect technical specialists with business stakeholders. You'll also explore the leadership capabilities required to support effective data-driven work.

The course then covers tools, infrastructure, and build decisions. You'll learn how to think about selecting analytics tools, evaluating technology requirements, and deciding when to build internal capabilities or use external platforms and services. These decisions will be considered from a business and strategic perspective rather than through detailed technical implementation.

You'll also explore experimentation, causality, and better decisions. The course introduces ways to test assumptions, evaluate business interventions, interpret results, and distinguish meaningful evidence from misleading conclusions. These concepts can help leaders make more reliable decisions and assess whether initiatives are producing the intended outcomes.

Finally, you'll bring these concepts together through implementation planning, governance, and an executive action plan. You'll learn how to prioritize opportunities, establish accountability, consider data and AI risks, define success measures, and organize practical next steps for developing data science capabilities.

Designed for leaders and beginners, this course focuses on practical business understanding rather than advanced mathematics, programming, or technical model development.

What You'll Learn
- Understand data science fundamentals and their business value

- Develop a data science strategy aligned with business objectives

- Assess data quality, metrics, and decision readiness

- Understand analytics, machine learning, and AI applications

- Identify data science opportunities across growth, operations, and risk

- Understand data science team structures and operating models

- Evaluate analytics tools, infrastructure, and build-versus-buy decisions

- Explore experimentation, causality, and evidence-based decision-making

- Understand data governance and responsible AI considerations

- Create a practical data science implementation and executive action plan

Course Features
- Beginner-friendly introduction to data science for business leaders

- Focus on strategy, business analytics, and executive decision-making

- Clear explanations of machine learning and AI concepts

- Practical approach to data quality, metrics, and decision readiness

- Business-focused examples of analytics across functions

- Guidance on team structures and operating models

- Introduction to tools, infrastructure, and build decisions

- Coverage of experimentation and evidence-based decision-making

- Structured approach to governance, implementation, and performance measurement

- Accessible on mobile, desktop, or tablet

Who This Course Is For
- Business leaders seeking to improve data-driven decision-making

- Founders exploring data science and AI-enabled business opportunities

- Executives evaluating analytics and machine learning investments

- Managers responsible for growth, operations, or risk

- Business analysts and technology professionals developing strategic skills

- Professionals interested in data science governance and implementation

This course serves as a practical introduction to data science strategy and business analytics for leaders who want to understand how data, analytics, machine learning, and AI can support organizational performance. Whether you're evaluating an analytics initiative, improving business reporting, exploring AI opportunities, or building a data-driven culture, you'll gain a structured foundation for making better-informed business decisions.

Who this course is for
Business leaders seeking to make data-driven decisions
Founders exploring data science and AI opportunities
Managers responsible for business performance and analytics
Executives evaluating machine learning and AI investments
Business analysts and technology professionals moving into leadership roles
Decision makers interested in data strategy, experimentation, and governance

Homepage

https://www.udemy.com/course/data-science-business-analytics/

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