Category: Tutorials

Free Download ISO 42001 for Everyone in the Office – AI Management Systems
Published 4/2026
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 24m | Size: 1.86 GB
A Practical Guide to Implementing ISO 42001 and Managing AI Risks, Governance, and Compliance Across Organizations

What you’ll learn
Understand ISO/IEC 42001:2023 structure and Requirements
Learn how to establish and implement an AI Management System (AIMS)
Identify and manage AI-specific risks including bias and ethical concerns
Develop AI governance frameworks and policies
Conduct AI risk assessments and impact assessments
Understand roles and responsibilities in AI governance
Prepare documentation required for ISO 42001 compliance
Learn how to perform internal audits and prepare for certification
Integrate ISO 42001 with existing management systems
Apply knowledge through real-world case studies
Requirements
Basic understanding of business processes or management systems (helpful but not required)
Interest in artificial intelligence and governance
No technical AI or coding knowledge required
Suitable for beginners and professionals alike
Description
This course contains the use of artificial intelligence.
This comprehensive course is designed to provide a complete understanding of ISO/IEC 42001:2023, the world’s first international standard for Artificial Intelligence Management Systems (AIMS). Developed by the International Organization for Standardization in collaboration with IEC, ISO 42001 establishes a structured framework for governing AI responsibly across its lifecycle.
In today’s rapidly evolving digital landscape, artificial intelligence is transforming industries, decision-making processes, and business models. However, with these advancements come new risks such as algorithmic bias, lack of transparency, ethical concerns, and regulatory challenges. This course equips learners with the knowledge and tools required to address these challenges effectively through a structured AI Management System.
The course is organized into 8 detailed modules covering everything from foundational concepts to real-world implementation. You will explore the principles of AI governance, understand ISO 42001 clauses in depth, and learn how to build, implement, and continuously improve an AIMS within your organization.
Key areas covered include AI risk assessment, ethical AI practices, lifecycle management, documentation, audit preparation, and integration with existing standards like ISO 9001 and ISO 27001. The course also includes real-world case studies from industries such as finance and healthcare, helping you connect theory with practical application.
Whether you are part of leadership, compliance, IT, or operations, this course will help you understand your role in responsible AI governance and prepare your organization for ISO 42001 implementation and certification.
ISO Xpert Academy is a professional training platform dedicated to simplifying complex ISO standards and making them practical, accessible, and implementation-focused. Our mission is to empower professionals and organizations with globally recognized knowledge, real-world insights, and actionable skills to achieve compliance, certification, and operational excellence.
Who this course is for
Business professionals and office staff
Compliance and risk management professionals
IT managers and AI practitioners
Quality and internal audit professionals
Executives and decision-makers
Anyone interested in AI governance and ISO standards

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Free Download ISO 27002 Foundation Videos + Mind Maps + 150 GRC Templates
Published 4/2026
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 18h 17m | Size: 13.74 GB
From Exam-Ready to Job-Ready: Structured Learning with Video + Mind Maps + Professional Templates.

What you’ll learn
Understand the fundamentals of the ISO 27002 Foundation.
detailed mind maps for the ISO 27002 Foundation to review and strengthen essential concepts.
Access 150+ free advanced GRC templates.
Develop the mindset of an IT security leader.
Requirements
It is preferable to be comfortable with the basics of computers, networks, IT, and cybersecurity.
If you already have some cybersecurity experience, great-but it’s not required.
You want to learn how IT security and cybersecurity are managed at a leadership level.
Description
When you enroll in this course, you receive a complete course bundle
• Video Training: Clear, Up-to-date, structured lessons aligned with the latest exam objectives and guided by real-world context.
• 7+ Detailed Mind Maps : High-retention visual summaries to revise faster, connect core topics, and reinforce understanding.
• 150+ Advanced GRC Templates: Ready-to-use assets-assessment templates, audit templates, risk management tools, checklists, dashboards, policies, procedures and more.
• Certificate of Completion: Issued once you complete the course.
• Lifetime Access: Includes full access and all future course updates.
• Offline Viewing: Watch anytime through the Udemy mobile app.
By the end of this course, you will be able to
• Prepare for the certification with a clear and structured approach.
• Build a clear mental framework that connects the certification topics, so you learn the big picture instead of isolated topics.
• Turn objectives into real understanding with clear instructor guidance and real-world context.
• Learn faster and retain more with detailed mind maps designed to help you memorize essential points and connect concepts visually.
• Put learned aspects into action by applying the included GRC templates to real-life situations, including assessments, checklists, dashboards, and more…
We’re not only preparing you for the exam-we’re preparing you for the job the certification qualifies you for. Enroll now to get started.
Who this course is for
Cybersecurity professionals looking to expand their expertise.
Learners preparing for the exam.
Learners seeking a deeper understanding of management-level cybersecurity.

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Free Download Iron Butterfly Options Trading Strategy With Live Trading
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 603.31 MB | Duration: 3h 20m
Iron Butterfly Options Trading Strategy with my touch. How to earn with know how of future. Monthly Income Strategies.
What you’ll learn

Get paid upfront for executing options trades
The best way to structure a trade through Complex Iron Fly Options Trading strategy.
A simple trick to know your odds of success in Options Trading
How to choose exactly which option contracts to trade and how
Use little-known techniques to greatly reduce risk and maximize profits through Options Trading
How to use what you learn to create a consistent income from home
Learn Strategy directly on (Technical Analysis) Charts
Requirements
No prior trading experience is necessary
You will need a practice Trading Account
Open Mind and not judging the Strategy from past learning
You commit that after the course you will do demo trading on this strategy for at-least 6 Months.
Description
*** Course access includes quizzes & homework exercises, 1-on-1 (Options Trading) instructor support and LIFETIME access! ***Hear why this is one of the TOP-NOTCH Iron fly Options Trading course on Udemy:Lots of good information! Thank you!-Stacy MayfieldWhat a strategy wow-SteveThis course matched my expectations of complete understanding of the concept of iron butterfly and how it works in live examples-Sam DickeyTOP-NOTCH Instructor on Options TradingI currently have 71 Knowledge programs with 20,520+ Minutes of Content (342 hours in total) with 112,000+ Satisfied Students enrolled. Thatâs 14+ days of learning material!I am currently mentioned in "Popular Instructors" tab on Udemy Business/Finance Section.Iron Butterfly Options Trading Course Details:The Iron Butterfly Options Trading is one of the most popular trades of all Options
trades, as it gives you double premium (earning) as Income.I will analyze the risks, set adjustment points, and discuss my tools for trading Iron Butterfly Option strategy.Whether you are a brand new investor, or veteran Options trader, this course will teach you the tools and a plan to reach your financial goals. I will reveal a trading strategy that is commonly used by Hedge Funds, Market Makers and Floor Traders.This Options Trading Course comes with a 30 day money back guarantee.I have even added my tools to Iron Butterfly Options Trading Strategy, Which will make it a safe Strategy to trade and earn money.I will explain you basic concepts of Options Trading in easy way as if I am explaining to a 5 year old.I will explain how to enter and exit a Iron Butterfly Options Trading Strategy.I will explain how to avoid traps in Iron Butterfly Options Trading Strategy.I will explain complicated tools to trade with confidence.This Options Trading course comes with guarantee that you can always apply for 100% Refund within 30 days. Iron Butterfly Options Trading Strategy is one of the best popular investment strategy in the world.Disclaimer Note: This Options Trading course is for educational and informational purposes only. Not recommending of any particular investments such as a particular stock or mutual fund.
Anyone interested in earning an extra income from home,You should not take this course if you aren’t willing to dedicate some time and discipline to learning the strategy
Homepage
Code:Copy to clipboard

https://www.udemy.com/course/ironfly1/

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Free Download iOS Machine Learning with Core ML, Swift 6, and SwiftUI
Last updated 3/2026
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 14m | Size: 1.51 GB
Learn how to integrate machine learning into iOS apps. Hands-on Swift 6 coding using Core ML, Vision, CreateML and NLP.

What you’ll learn
Gain insights from a software engineer with over 30 years of hands-on professional experience.
Get a practical introduction to machine learning in iOS and macOS development.
Gain a practical understanding of Create ML, Core ML, Vision, and Natural Language Processing.
Train and evaluate custom image classifiers directly on your Mac using Create ML.
Set up and integrate Core ML models into SwiftUI projects.
Build iOS apps that can recognize objects, faces, barcodes, and text in photos and video streams.
Integrate natural language text analysis and sentiment detection into your apps.
The companion eBook (a $28.80 value on Amazon) is included free!
Requirements
To follow along, you’ll need a Mac running macOS Tahoe and Xcode 26, Apple’s latest development environment.
You should be comfortable with the basics of Swift 5 or Swift 6 programming – just enough to read and write simple code.
You should be familiar with Xcode basics such as creating projects and running apps.
Description
A practical, concise, and hands-on machine learning course you can complete in just a few hours – with a companion eBook included.
Wouldn’t it be great to add intelligent features like image recognition, natural language processing, or sentiment analysis to your iOS, macOS, or iPadOS apps?
In this course, you’ll learn how to unleash the power of machine learning using Core ML, Create ML, Vision, and Swift 6 with SwiftUI.
We’ll start by demystifying what machine learning is and how it works – explained in plain English, without jargon. We’ll explore Apple’s machine learning frameworks through real examples and hands-on Swift coding.
You’ll build practical iOS apps that can
• Recognize dog breeds from photos
• Analyze the sentiment of product reviews
• Detect faces, barcodes, and text in images using Vision
You’ll also learn how to train your own machine learning models right on your Mac using Create ML.
And there’s a lot more packed into this professional, focused course.
About the Instructor
I’ve been designing and building software for over 30 years for companies like Apple, Siemens, and SAP.
As a software architect, I helped create enterprise frameworks, including Siemens Healthcare’s syngo image processing system and Apple-SAP’s Cloud Platform SDK for iOS.
I currently hold twelve patents in the field of mobile computing.
What You’ll Learn
• How Apple’s machine learning frameworks fit together (Core ML, Create ML, Vision, NaturalLanguage)
• Natural language text processing and sentiment analysis
• Setting up and integrating Core ML models in Xcode projects
• Image recognition and object detection with the Vision framework
• Training and testing your own image classifiers on your Mac
Student Reviews
"Thank you Karoly, you’ve delivered another excellent course with detailed explanations and real-world examples that any app developer can put into practice."
– Jim McMillan
"The best introduction to Machine Learning with Swift – clear, practical, and beginner-friendly."
– Zbyszek Pietras
"Finally, a course that covers Core ML, natural language processing, and Create ML – exactly what I was looking for."
– Dan Gray
More Than an Online Course
• Personalized support: access to a private forum where I personally answer student questions
• Companion eBook: included with the course
• able demo projects: follow along and experiment with working examples
• Continuous updates: I keep the content current with the latest Apple tools and frameworks
30-Day Money-Back Guarantee
If you’re not completely satisfied, you’ll receive a full refund – no questions asked.
Go ahead and click Enroll. See you in the first lesson!
Who this course is for
Take this course to start building intelligent iOS apps with Create ML, Core ML, Vision, and Natural Language Processing.
This course is for you if you want to build smarter, more capable apps powered by machine learning.
Enroll if you’re interested in exploring the latest Apple technologies in the field of artificial intelligence.

Code:Copy to clipboard

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Introduction To Zbrush 2021
MP4 | ENG | Video: h264, yuv420p, 1920×1080 | Audio: aac, 48000 HZ | Duration: 40h:20m | Size File: 12.3 GB
Genre: eLearning​

Introduction to ZBrush 2021 is the most comprehensive video training series available for Pixologic’s industry-leading digital-sculpting software. Taught by Madeleine Scott-Spencer, this 65-chapter workshop – with 51 hours of lessons – begins with a quickstart tutorial to get you up to speed, fast. It’s the perfect introduction for everyone from complete beginners to those simply looking to see what’s new in the latest version of the software.

The first follow-along tutorial in this workshop tackles how to sculpt a character bust from a sphere while teaching the core ZBrush concepts, such as DynaMesh and how to effectively use subdivision levels, as well as demystifying the ZBrush interface and navigation. Subsequent chapters delve further into a more in-depth look at the ZBrush interface, including how to customize the interface and hotkeys, what are the important sculpting tools and techniques, plus explanations of 3D alphas, custom brushes, the InsertMultiMesh brush, Array Mesh functionality, the NanoMesh system, Vector Displacement brushes – plus much, much more.

All the exciting new features in ZBrush 2021 are, of course, covered including cloth, dynamic thickness, ZModeler updates such as Edge Extrude, and the new MicroPoly tools. Madeleine also discusses how to approach hard-surface sculpting in ZBrush plus how to use the polygon modeling tools such as ZModeler, the Topology brush, and ZRemesher. 3D Printing enthusiasts will also be pleased to discover a chapter devoted to the process of preparing a model for 3D printing using the Decimation Master plugin.

In addition to exploring all of ZBrush’s impressive sculpting tools, this workshop also covers its robust 3D painting program. Madeleine walks through PolyPaint, UV Master, and Spotlight, through detailed demonstrations of paint techniques drawing from more than 20 years of experience working in the film industry. Lighting and rendering chapters also take you through the process of generating final images using LightCaps and HDR images, as well as how to render through the ZBrush to KeyShot Bridge. Plus, Madeleine details the ZBrush Material menu and how to extract maps such as Displacement, Normal, and Color, as used in many film, TV, and videogame art pipelines.

To help with your understanding of this workshop, Madeleine provides helpful project files for you to download and follow along with most chapters. By completing this workshop, you should have the confidence to tackle your own projects as an intermediate-level ZBrush artist.

Introduction to the Splunk Ecosystem
Duration: 1h 5m | .MP4 1280×720 30 fps(r) | AAC, 48000 Hz, 2ch | 192.34 MB
Genre: eLearning | Language: English​

Understanding how data flows through Splunk is key to effective analysis. This course will teach you how to navigate the data pipeline, apply metadata, and perform efficient searches to uncover actionable insights.

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Introduction to the Splunk Ecosystem

Free Download Introduction to Multivariable Calculus 2026
Published 4/2026
Created by Renngang Engineering
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 6 Lectures ( 1h 36m ) | Size: 480 MB

Learn math from the best Scandinavian Instructors with Renngang Engineering
What you’ll learn
✓ Learn what multivariable analysis
✓ Learn what partial derivatives are
✓ Practice through solving real exam problems from top universities
✓ Instructor led guidance through every problem
Requirements
● No prior math knowledge is strictly speaking needed, but some prior engineering mathematics is beneficial
Description
Welcome to Multivariable Calculus 2026, a carefully designed introductory course created by Scandinavian instructors from Renngang Engineering, a Norwegian education initiative dedicated to clarity, rigor, and practical understanding.
This course is built for students who have completed single variable calculus and are ready to take the next step into higher dimensional thinking.
You will explore how calculus extends beyond one dimension, learning how to work with functions of multiple variables, visualize surfaces, and understand how change behaves in higher dimensions. Throughout the course, we emphasize geometric intuition, real world interpretation, and problemsolving skills.
What we will go through in the course
Understanding and analyzing multivariable functions
Interpreting and computing partial derivatives
Working with gradients, directional derivatives, and optimization techniques
Solve a lot of problems together
Why use us for your math understanding?
At Renngang Engineering, we believe mathematics should be both precise and understandable. Our approach avoids unnecessary complexity while maintaining academic depth, helping you build strong intuition alongside technical skill. Whether you’re an engineering student, a future scientist, or simply curious about advanced mathematics, this course provides a solid and inspiring foundation.
Join us and discover how multivariable calculus can be easy as long as you stick with us on the entire journey.
Who this course is for
■ Engineers and students
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https://www.udemy.com/course/introduction-to-multivariable-calculus-2026

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Introduction to DeepSeek
.MP4, AVC, 1280×720, 30 fps | English, AAC, 2 Ch | 41m | 85.8 MB
Instructor: Ervis Trupja​

Understanding DeepSeek’s capabilities can be complex. This course will teach you to effectively evaluate, deploy, and optimize DeepSeek models for real-world AI applications through hands-on implementation.

What you’ll learn

DeepSeek’s open-source models are revolutionizing AI accessibility, but understanding their architecture and implementation can be challenging. In this course, Introduction to DeepSeek, you’ll learn to effectively evaluate and deploy these powerful models for real-world applications.

First, you’ll explore the innovative Mixture-of-Experts architecture that makes DeepSeek efficient, understanding how only 37B parameters are active during inference despite the model’s 671B total parameters. Next, you’ll discover how DeepSeek-R1’s reasoning capabilities compare against proprietary models through comprehensive benchmark analysis and practical demonstrations. Finally, you’ll learn how to implement DeepSeek models in production environments and calculate the total cost of ownership for different deployment strategies.

When you’re finished with this course, you’ll have the skills and knowledge of DeepSeek’s capabilities and limitations needed to make informed decisions about integrating these models into your AI workflow and applications.

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Introduction to Data Modeling with LookML
.MP4, AVC, 1920×1080, 30 fps | English, AAC, 2 Ch | 1h 17m | 204 MB
Instructor: Dr. Ali Feizollah​

Analysts working in Looker often hit a wall when metrics look wrong, fields go missing, or dashboards behave unexpectedly-issues that originate in the data model, not the query.

In this course, Introduction to Data Modeling with LookML, you’ll gain the ability to understand, build, and troubleshoot the LookML layer that powers every Explore.

First, you’ll explore what LookML is, how it fits into the Looker ecosystem, and how modeling decisions directly affect analyst workflows.

Next, you’ll discover how to model Explore joins that combine datasets safely while preserving metric accuracy. Then, you’ll see how to create dimensions for common analysis needs, including time-based fields and segmentation buckets.

Finally, you’ll learn how to create reliable, reusable measures with proper formatting, filters, and testing. When you’re finished with this course, you’ll have the skills and knowledge of LookML data modeling needed to read and modify a Looker data model, diagnose common data issues, and contribute meaningfully to your organization’s analytics layer.

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