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Enterprise Risk Management (great Introduction)
Published 4/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 49m | Size: 2.3 GB
Enterprise Risk Management (Great Introduction)
What you'll learn
Definition of Risk
Purpose of Risk Management
Elements of Successful Risk Management
Risk Terminologies
Benefits of Risk Management
Who Manages Risks
Risk Management Culture
Principles of Risk Management
Steps in Risk Management
Risk treatment strategies
Requirements
Basic business knowledge and preferably have an operational business (big or small)
Description
Risk Management is a fundamental pillar of any organization, ensuring resilience and strategic success. Effective Enterprise Risk Management (ERM) requires a well-structured implementation of principles, processes, and frameworks to navigate uncertainty and optimize decision-making.With over 15 years of experience in Risk Management, the trainer has played a pivotal role in various critical aspects, including Planning Risk Management, Risk Identification, Risk Analysis, Treatment, Monitoring, and Control. As a Certified ISO 31000 Senior Lead Risk Manager, he has successfully led numerous projects in Risk Identification, Risk Monitoring, Capacity Building, Risk Reporting, Incident Management, and Business Continuity Management.This course provides a comprehensive introduction to Enterprise Risk Management (ERM), equipping participants with essential knowledge applicable to organizations of all sizes and sectors across the globe. The methodologies covered are grounded in internationally recognized standards, such as ISO 31000 Risk Management.By the end of this training, participants will be well-prepared to integrate these concepts seamlessly into their ERM strategies. We've carefully designed the course for clarity and ease of implementation, making it an ideal resource for anyone eager to understand the significance of ERM in achieving organizational objectives while maintaining operational safety. Wish you well as you under take this course. Thanks.
Who this course is for
Business owners
Risk Managers and practioners
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• views: 170
• date: 26 April 2025
• posted by: 0nelove

The Ultimate Prompt Engineering Crash Course For Sucess.
Published 4/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 32m | Size: 860 MB
10x Your Gen AI Skills and become Sucessfull in the Age of Intelligence
What you'll learn
Master prompt engineering to get better AI outputs.
Understand how personalized AI tailors outputs for you.
Build and train Custom GPTs.
Differentiate between personalized AI and AI Agents.
Learn agent-driven AI workflows to automate tasks.
Optimize business operations with AI-driven solutions.
Automate repetitive tasks to increase business productivity.
Apply AI tools effectively across real-world scenarios.
Requirements
A willingness to experiment and learn how to apply AI tools in real-world scenarios.
No prior programming skills are needed; this course is designed for non-technical users as well.
Description
Tired of Testing AI Tools That Just Don't Deliver?You've tried using AI, ChatGPT, tools, plugins, extensions but none of them quite get you, right?They sound smart but miss the point. You spend more time fixing their output than actually saving time.What if you could finally make AI work exactly the way you need it to?Imagine having an AI assistant that doesn't just respond it understands, anticipates, and executes.That's what this course is all аbout: turning AI into your most reliable team member.I've been there. A few years ago, I was overwhelmed by the idea of using AI. I knew it could help, but I didn't know how to make it work for me. I tried using basic tools, but they were frustrating, not smart enough, and didn't really fit my business.But then, everything changed. I learned how to prompt AI the right way and customize it to work for me. Slowly but surely, AI became my smartest business partner.Today, I have AI tools running tasks for me, helping me scale, make better decisions, and save time. And now, I want to show you exactly how you can do the same.This course is the roadmap that transformed the way I work and it can transform your workflow too.WHO ARE WE?I'm Waqas Hassan, an entrepreneur and AI enthusiast passionate about simplifying complex technology.I've built successful brands, trained thousands of professionals, and helped businesses integrate AI solutions to streamline processes.With over 25K followers and experience training over 3,000 professionals across 25+ countries, I've developed easy-to-understand frameworks to help you leverage AI for your business growth.As a Gold Medalist from the National University of Singapore, I've been recognized for my leadership in digital transformation and AI education. I've trained leaders from top universities like National University of Singapore, and I'm excited to share my experience with you. But I didn't build this course alone.Alongside me is Waqas Aliemuddin, co-founder of AIforAll and a fellow visionary committed to empowering individuals with the tools of the future. Together, we've created this course to help you not just understand AI but truly own it in your business.HOW IS THIS COURSE DIFFERENT FROM OTHERS?Many courses teach you the basics of AI, but they don't show you how to apply it practically to your unique business needs. Here's how this course stands apart:Hands-On AI Techniques: You'll learn how to craft AI prompts that work for your business, creating custom solutions.Real-World Applications: This course is designed to help you use AI effectively, whether you're automating tasks, generating content, or enhancing business processes.Scalable Systems: Learn how to set up AI systems that scale with your business, increasing efficiency without added effort.IN THIS COURSE YOU'LL LEARN: Introduction to Prompt EngineeringUnderstand the core concepts of AI and prompt engineeringLearn how to craft clear, actionable AI prompts for accurate outputsCustomizing AI for Your NeedsDiscover how to tailor AI tools to fit your business and personal needsSet up personalized AI models like Custom GPTs and Google GEMsUnderstanding AI AgentsUnderstand how AI agents operate autonomously to optimize workflowsScaling with Personalized AICreate scalable AI that evolves with your businessRefine and test your AI tools to ensure long-term successHyper-Personalizing AI for Maximum EfficiencyLearn how to create hyper-personalized AI solutions for ultimate efficiencySave time and reduce errors by automating complex tasksReal-World Applications of AIApply AI solutions across various business scenarios, from content creation to customer managementUnderstand how industries are using AI to drive innovationBecoming an AI Prompt MasterMaster prompt engineering and AI agent integration for your businessScale AI-driven solutions to maximize long-term productivityWHAT OTHERS ARE SAYING ABOUT THIS COURSE:"This course opened my eyes to the potential of AI in my business. I can now automate so many tasks, and the AI-driven solutions have truly transformed how I work!" — Afreen Mansoor"Waqas' teaching style is clear, practical, and easy to follow. I now have a set of AI tools tailored to my needs, and I feel confident using them to grow my business." — Razy ShahTHIS COURSE ISN'T JUST ABOUT LEARNING AI, IT'S ABOUT MAKING AI WORK FOR YOU.Let's work smarter, not harder, and make AI your business partner.Waqas Hassan, Waqas Aliemuddin
Who this course is for
Business owners, content creators, marketers, educators, corporate professionals, solopreneurs, and early-career talent looking to stay relevant.
Individuals who want to 10x their Gen AI skills and earn big in the Age of Intelligence
Beginners curious to learn about AI tools to adapt in the changing world
Agencies who want to automate their work and save time with AI so they can spend more time doing what they love
Freelancers & Professionals who want to get more done in less time using ChatGPT and other AI tools
Aspiring prompt engineers looking to polish their skills
Startup owners who wish to grow faster without investing in different services
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• views: 231
• date: 26 April 2025
• posted by: 0nelove

Complete Python And Machine Learning In Financial Analysis
Last updated 3/2025
Created by S. Emadedin Hashemi
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English + subtitle | Duration: 83 Lectures ( 20h 17m ) | Size: 6 GB
Using Python, Machine Learning, and Deep Learning in Financial Analysis with step-by-step coding (with all codes)
What you'll learn
You will be able to use the functions provided to download financial data from a number of sources and preprocess it for further analysis
You will be able to draw some insights into patterns emerging from a selection of the most commonly used metrics (such as MACD and RSI)
Introduces the basics of time series modeling. Then, we look at exponential smoothing methods and ARIMA class models.
shows you how to estimate various factor models in Python. one ,three-, four-, and five-factor models.
Introduces you to the concept of volatility forecasting using (G)ARCH class models, how to choose the best-fitting model, and how to interpret your results.
Introduces concept of Monte Carlo simulations and use them for simulating stock prices, the valuation of European/American options and calculating the VaR.
Introduces the Modern Portfolio Theory and shows you how to obtain the Efficient Frontier in Python. how to evaluate the performance of such portfolios.
Presents a case of using machine learning for predicting credit default. You will get to know tune the hyperparameters of the models and handle imbalances
Introduces you to a selection of advanced classifiers (including stacking multiple models)and how to deal with class imbalance, use Bayesian optimization.
Demonstrates how to use deep learning techniques for working with time series and tabular data. The networks will be trained using PyTorch.
Requirements
Statistics and Basic Python
Description
In this course, you will become familiar with a variety of up-to-date financial analysis content, as well as algorithms techniques of machine learning in the Python environment, where you can perform highly specialized financial analysis. You will get acquainted with technical and fundamental analysis and you will use different tools for your analysis. You will learn the Python environment completely. You will also learn deep learning algorithms and artificial neural networks that can greatly enhance your financial analysis skills and expertise.This tutorial begins by exploring various ways of downloading financial data and preparing it for modeling. We check the basic statistical properties of asset prices and returns, and investigate the existence of so-called stylized facts. We then calculate popular indicators used in technical analysis (such as Bollinger Bands, Moving Average Convergence Divergence (MACD), and Relative Strength Index (RSI)) and backtest automatic trading strategies built on their basis.The next section introduces time series analysis and explores popular models such as exponential smoothing, AutoRegressive Integrated Moving Average (ARIMA), and Generalized Autoregressive Conditional Heteroskedasticity (GARCH) (including multivariate specifications). We also introduce you to factor models, including the famous Capital Asset Pricing Model (CAPM) and the Fama-French three-factor model. We end this section by demonstrating different ways to optimize asset allocation, and we use Monte Carlo simulations for tasks such as calculating the price of American options or estimating the Value at Risk (VaR).In the last part of the course, we carry out an entire data science project in the financial domain. We approach credit card fraud/default problems using advanced classifiers such as random forest, XGBoost, LightGBM, stacked models, and many more. We also tune the hyperparameters of the models (including Bayesian optimization) and handle class imbalance. We conclude the book by demonstrating how deep learning (using PyTorch) can solve numerous financial problems.
Who this course is for
Developers
Financial Analysts
Data Analysts
Data Scientists
Stock and cryptocurrency traders
Students
Teachers
Researchers

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• views: 203
• date: 26 April 2025
• posted by: 0nelove

Complete Python And Machine Learning In Financial Analysis
Last updated 3/2025
Created by S. Emadedin Hashemi
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English + subtitle | Duration: 83 Lectures ( 20h 17m ) | Size: 6 GB
Using Python, Machine Learning, and Deep Learning in Financial Analysis with step-by-step coding (with all codes)
What you'll learn
You will be able to use the functions provided to download financial data from a number of sources and preprocess it for further analysis
You will be able to draw some insights into patterns emerging from a selection of the most commonly used metrics (such as MACD and RSI)
Introduces the basics of time series modeling. Then, we look at exponential smoothing methods and ARIMA class models.
shows you how to estimate various factor models in Python. one ,three-, four-, and five-factor models.
Introduces you to the concept of volatility forecasting using (G)ARCH class models, how to choose the best-fitting model, and how to interpret your results.
Introduces concept of Monte Carlo simulations and use them for simulating stock prices, the valuation of European/American options and calculating the VaR.
Introduces the Modern Portfolio Theory and shows you how to obtain the Efficient Frontier in Python. how to evaluate the performance of such portfolios.
Presents a case of using machine learning for predicting credit default. You will get to know tune the hyperparameters of the models and handle imbalances
Introduces you to a selection of advanced classifiers (including stacking multiple models)and how to deal with class imbalance, use Bayesian optimization.
Demonstrates how to use deep learning techniques for working with time series and tabular data. The networks will be trained using PyTorch.
Requirements
Statistics and Basic Python
Description
In this course, you will become familiar with a variety of up-to-date financial analysis content, as well as algorithms techniques of machine learning in the Python environment, where you can perform highly specialized financial analysis. You will get acquainted with technical and fundamental analysis and you will use different tools for your analysis. You will learn the Python environment completely. You will also learn deep learning algorithms and artificial neural networks that can greatly enhance your financial analysis skills and expertise.This tutorial begins by exploring various ways of downloading financial data and preparing it for modeling. We check the basic statistical properties of asset prices and returns, and investigate the existence of so-called stylized facts. We then calculate popular indicators used in technical analysis (such as Bollinger Bands, Moving Average Convergence Divergence (MACD), and Relative Strength Index (RSI)) and backtest automatic trading strategies built on their basis.The next section introduces time series analysis and explores popular models such as exponential smoothing, AutoRegressive Integrated Moving Average (ARIMA), and Generalized Autoregressive Conditional Heteroskedasticity (GARCH) (including multivariate specifications). We also introduce you to factor models, including the famous Capital Asset Pricing Model (CAPM) and the Fama-French three-factor model. We end this section by demonstrating different ways to optimize asset allocation, and we use Monte Carlo simulations for tasks such as calculating the price of American options or estimating the Value at Risk (VaR).In the last part of the course, we carry out an entire data science project in the financial domain. We approach credit card fraud/default problems using advanced classifiers such as random forest, XGBoost, LightGBM, stacked models, and many more. We also tune the hyperparameters of the models (including Bayesian optimization) and handle class imbalance. We conclude the book by demonstrating how deep learning (using PyTorch) can solve numerous financial problems.
Who this course is for
Developers
Financial Analysts
Data Analysts
Data Scientists
Stock and cryptocurrency traders
Students
Teachers
Researchers

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• views: 165
• date: 26 April 2025
• posted by: 0nelove

Elementary Discrete Mathematics Made Simple

Published 4/2025
Created by Sadat Academy
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 69 Lectures ( 3h 44m ) | Size: 808 MB
Master sets, logic, proofs, combinatorics, and relations — the core of mathematical reasoning.
What you'll learn
Sets and Logic Understand the language of mathematics.
How to define and work with sets
The structure and truth of propositional logic
The depth of predicate logic, building a bridge toward rigorous reasoning
Proof and Recursion. You'll learn how to think like a mathematician.
The art of proofs, from direct to contrapositive
The elegance of recursion and how integers can be represented
Mastering sequences, sums, and understanding asymptotic behavior
A deep dive into proof by induction, a cornerstone in theoretical computer science
Combinatorics
Start with an introduction to combinatorics
Learn to differentiate between ordered and unordered samples
Unlock the power of multinomial coefficients
Apply your knowledge to basic probability theory
Relations
Use Boolean matrices to model relationships
Study relations, closures, and compositions
Understand equivalence relations and partial orders, key to classification and hierarchy in data structures
Requirements
Logical thinking — No formal logic experience required, but a willingness to think step-by-step is important.
Curiosity and persistence — Some topics can be abstract, so an open mind and a bit of patience will go a long way!
Basic algebra skills — You should be comfortable with high school-level algebra (e.g., manipulating equations, understanding variables and functions).
Description
Are you curious about the mathematical concepts that power computer science, logic, cryptography, and algorithm design? Whether you're a student starting your journey in computer science, a self-learner building a solid foundation, or a math enthusiast exploring new frontiers — this Elementary Discrete Mathematics course is designed to take you from the basics to deeper insights with clarity and structure.Why Take This Course?This course is modeled after a traditional university-level summer syllabus, but reimagined with flexibility and clarity for online learners. Through video lectures, thoughtfully designed problems, and a clear progression of topics, you'll gain a robust understanding of discrete math — the backbone of logical thinking and algorithmic reasoning. Each lecture includes a detailed PDF resource with the descriptions, formulas, and key takeaways of the lecture. But much more broadly, this course is intended to teach you to think mathematically. You may be a student who has never seen any math beyond calculus or algebra, or perhaps you dread doing math. The point of this course is to get you to learn to think deeply, communicate carefully, and not shy away from difficult material.As you proceed, have something to write with on hand. Work each example along with the course. Then, at the end of each chapter, work the exercises provided for you as PDFs. Some are more difficult than others, but are well worth doing to improve your understanding. Work along with someone at roughly your skill level, share solutions and ask each other questions.Whether you're preparing for computer science courses, diving into theoretical concepts, or strengthening your math fluency, this course equips you with the tools to think analytically and solve problems efficiently.Everyone can be a "math person!" So, let's get started.
Who this course is for
Undergraduate students in computer science, mathematics, engineering, or related fields taking or preparing for a discrete math course.
Aspiring developers who want a solid foundation in logic, proofs, and counting techniques essential for algorithms and programming.
Self-paced learners looking to strengthen their mathematical thinking without needing advanced prerequisites.
Curious minds interested in learning how formal logic, sets, and combinatorics work behind the scenes in tech and theory.
CS and tech interview candidates preparing for algorithm-heavy roles or graduate-level theoretical computer science.

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• views: 170
• date: 26 April 2025
• posted by: 0nelove

Beyond 5g: Shaping The Future Of Wireless Networks
Published 4/2025
Created by TELCOMA Global
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 48 Lectures ( 5h 53m ) | Size: 2.22 GB
Explore cutting-edge technologies, architectures, and innovations driving the evolution from 5G to 6G.
What you'll learn
Understand the limitations of 5G and why Beyond 5G is essential for future wireless networks
Analyze the evolution roadmap from 5G to 6G and explore global research initiatives
Explore emerging B5G technologies like THz, Quantum Comms, RIS, and AI-native networks
Design intelligent B5G network architectures using AI, edge computing, and network slicing
Solve propagation and spectrum challenges using ultra-high-frequency models and tools
Apply AI for real-time traffic management, network optimization, and threat detection
Discover futuristic use cases including XR, autonomous vehicles, smart factories, and SAGIN
Develop energy-efficient and sustainable wireless networks with AI-driven green designs
Understand standardization efforts by ITU, 3GPP, and global B5G regulatory bodies
Requirements
Basic understanding of wireless communication or 5G concepts
Familiarity with telecom architecture, protocols, or mobile networking principles
Some exposure to AI, machine learning, or computer networks (helpful but not mandatory)
Passion to explore next-gen technologies and shape the future of wireless innovation
Description
Beyond 5G: Shaping the Future of Wireless Networks is a comprehensive and future-ready course designed for professionals, engineers, researchers, and students who want to stay ahead in the ever-evolving world of wireless communications. As 5G networks continue to roll out globally, the limitations of current systems are already paving the way for the next generation—Beyond 5G (B5G) and 6G technologies.This course begins by addressing the inherent constraints of 5G and introduces the need for B5G networks capable of meeting the demands of ultra-low latency, extreme data rates, intelligent connectivity, and sustainable infrastructure. You will explore the evolution roadmap from 5G to 6G, focusing on the key objectives, global research initiatives, and standardization trends that are shaping this transition.Dive into emerging technologies such as Terahertz (THz) communication, Advanced Massive MIMO, Quantum Communications, AI-integrated architectures, and Reconfigurable Intelligent Surfaces (RIS). Learn how AI and machine learning drive real-time traffic management, autonomous networking, and cybersecurity in B5G environments.You'll explore real-world applications including Holographic Communication, XR, Autonomous Vehicles, Smart Factories, Industrial IoT, and Space-Air-Ground Integrated Networks. The course also covers sustainability strategies, including carbon-neutral networking, energy-efficient design, and AI for green optimization.By the end of this course, you'll be equipped with the knowledge and skills to design, optimize, and lead in the next era of wireless innovation.Enroll now and become part of the intelligent wireless revolution that's redefining global connectivity.
Who this course is for
Telecom and wireless communication engineers and professionals
Students and researchers in wireless networks, electronics, or AI
Network architects, planners, and system designers aiming for next-gen skills
Technology enthusiasts interested in 6G, quantum, and future network trends
Government, policy, or R&D professionals involved in spectrum and standardization

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• views: 344
• date: 26 April 2025
• posted by: 0nelove

Money Mindset Mastery For Teachers
Published 4/2025
Created by Stefania Vaclavikova
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 16 Lectures ( 1h 38m ) | Size: 965 MB
Double your income and impact as a teacher. Grow your financial freedom. Monetise your expertise. Shift your mindset.
What you'll learn
Develop daily habits to maintain a positive financial mindset
Build a plan to increase your income and impact as a teacher
Set prices that reflect your true value and strengths
Use techniques to challenge and transform limiting money-related beliefs
Requirements
No prior experience required: This course is designed for teachers at all levels, whether you're just starting to explore money mindset or looking to deepen your knowledge.
Open Mindset: A willingness to challenge your current beliefs and adopt new perspectives about money.
A Journal or Notebook: For reflecting, journaling, and tracking your progress throughout the course.
Internet Access: To access course videos and resources.
Description
Money Mindset Mastery for TeachersThis course is designed to help you transform your relationship with money so you can confidently charge what you're worth and double your impact. Every teacher deserves to feel like a Wealthy Teacher—someone who recognises their true value and confidently aligns their worth with their actions.I personally know what it's like to feel stuck as a teacher—underpaid, undervalued, and unsure of what's next. I was making $15/hour until I joined the teacher-entrepreneur program, learned to market myself, found my ideal students and sold my services to them. In 18 months, I was charging $100/hour, but most importantly, I finally felt more free and respected. The moment I valued myself, everything followed. Now, as a Growth and Mindset Coach, I help teachers do the same—challenge their limiting beliefs, build thriving businesses, and get paid what they deserve. Teachers shape the future. It's time they're valued, too!Throughout this practical, step-by-step course, you will learn how to:In this course, you will learn to:1. Identify and change limiting beliefs that have held you back from attracting more income and opportunities.2. Shift your perspective on money and learn how to align financial growth with your personal and professional goals.3. Set your prices confidently to reflect your true value and expertise.4. Create a clear plan to increase your income and impact by identifying your unique skills and strengths.5. Develop daily money mindset habits to stay focused, motivated, and on track for growth.With practical exercises such as the Devil's Advocate Method and Sedona Method, you'll challenge and release the negative beliefs about money that may be blocking your financial success. You'll also dive deep into how to assess your current pricing, develop a new mindset around money, and gain the confidence to justify higher rates.Whatever I teach, I practice myself first, so this course is based on first-hand experience and learning. By the end of this course, you'll have the tools and strategies to double your income, confidently charge what you deserve, and align your teaching career with the abundance mindset of a Wealthy Teacher.Whether you're new to money mindset or already on your way, this course will give you actionable steps to achieve financial success and impact.If you're ready to feel like a Wealthy Teacher and take control of your financial future, this course is for you!
Who this course is for
Teachers who want to transform their relationship with money and build a financially rewarding career, whether you're new to the idea of money mindset or looking to deepen your understanding.
Educators who feel undervalued and want to align their pricing and income with their true worth and impact.
Passionate professionals who are committed to creating lasting change in their financial situation while continuing to inspire and educate.
Teachers looking for practical tools to shift their beliefs, increase their income, and design a life that reflects their personal and professional goals.

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