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  Author: Baturi   |   28 June 2026   |   Comments icon: 0

Coursera – Applied AI Data Analysis, Workflows, and Decisions Specialization
Released 6/2026
By Tina Lasisi
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 21 Lessons ( 1h 13m ) | Size: 575.6 MB
Applied AI for Better Decision-Making.

What you'll learn


⚡ Apply data analysis and generative AI tools to explore, organize, and interpret information.
⚡ Design and implement AI-assisted workflows and systems that use automation, structured data, and practical tool use.
⚡ Develop and refine decision-making strategies that use both your judgment and AI-supported insights.
Skills you'll gain
? Systems Thinking
? Record Keeping
? Cost Benefit Analysis
? Problem Solving
? Decision Making
AI is quickly turning into a powerful tool for analyzing information, improving productivity, and supporting decision-making. But knowing how to use it effectively goes beyond basic prompting skills.
In Applied AI: Data Analysis, Workflows, and Decisions, you'll learn how to work with AI to solve problems, streamline processes, and make better decisions. Through hands-on projects and practical frameworks, you'll explore how to analyze data with AI, find opportunities to automate routine work, improve workflows, and evaluate complex choices. You'll also learn systems-thinking approaches that help you see connections, anticipate consequences, and design more effective ways of working.
By the end of the Specialization, you'll have created workflows that allow you to use AI as a collaborative force that supports your analysis, aids in problem-solving, and allows you to make decisions with confidence in your personal and professional life.
Applied Learning Project
Throughout the Specialization, learners will complete hands-on activities that apply generative AI to authentic analytical, organizational, and decision-making challenges. Projects include using AI tools to analyze and visualize data, evaluate automation opportunities, design low-friction workflows, and build personalized systems to make more intentional decisions at work and in everyday life.

Homepage


https://www.coursera.org/specializations/applied-ai-data-analysis-workflows-and-decisions


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  Author: Baturi   |   28 June 2026   |   Comments icon: 0

Career Survival and Advantage in the AI Era
Published 6/2026
Created by Zenson Tran
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 47 Lectures ( 4h 47m ) | Size: 4 GB
Learn the BASELINE Framework to stay valuable, handle layoffs, find jobs fast, and become harder to compress in AI era

What you'll learn


⚡ Understand how AI changes tasks, roles, expectations, and career risk
⚡ Diagnose whether parts of your current work are becoming economically compressible
⚡ Use the BASELINE Framework to assess your career position in the AI era
⚡ Identify the new professional baseline for speed, quality, scope, judgment, and proof
⚡ Compress low-value work with AI and move toward higher-value judgment
⚡ Build the Employability Triangle: AI Fluency, Cognitive Complexity, and Human Trust
⚡ Use AI to research growing opportunity zones before choosing what to learn
⚡ Avoid job markets that are already overcrowded or hard to enter

Requirements


❗ The course is tool-agnostic and focuses on thinking frameworks. If you can type into ChatGPT (or similar), you can do everything in this course.

Description


"This course contains the use of artificial intelligence."
AI is changing work faster than most professionals expected.
Some jobs will disappear.
Some roles will merge.
Some tasks will become cheaper, faster, and easier to automate.
And many professionals will discover that their job title still exists — but the value of their work has quietly changed.
This course helps you respond before the market forces you to.
Career Survival and Advantage in the AI Era teaches you theBASELINE Framework — a practical career strategy system for staying valuable, handling layoffs, finding better opportunities faster, and becoming harder to compress by AI, automation, and market pressure.
This is not a motivational course about "embracing change."
This is a practical course about reading the new labor market clearly and making smarter career moves.
You will learn how to diagnose which parts of your work are becoming more compressible, identify where demand is growing, avoid crowded job markets, reposition your experience, build proof of value, and use AI to upgrade your workflows instead of merely using AI tools for small productivity gains.
The goal is simple
Do not just survive the AI era. Become harder to replace, easier to trust, and more valuable because of AI.

What You Will Learn


By the end of this course, you will be able to
✨ Understand how AI changes tasks, roles, expectations, and career risk
✨ Diagnose whether parts of your current work are becoming economically compressible
✨ Use theBASELINE Framework to assess your career position in the AI era
✨ Identify the new professional baseline for speed, quality, scope, judgment, and proof
✨ Compress low-value work with AI and move toward higher-value judgment
✨ Build theEmployability Triangle: AI Fluency, Cognitive Complexity, and Human Trust
✨ Use AI to research growing opportunity zones before choosing what to learn
✨ Avoid job markets that are already overcrowded or hard to enter
✨ Calibrate salary expectations using market evidence instead of old anchors
✨ Diagnose the business pain behind job posts before applying
✨ Reposition your previous experience for current market demand
✨ Build simple proof projects that make your value visible
✨ Demonstrate "superagency" by using AI to upgrade workflows, not just finish tasks faster
✨ Create a simple AI-era career defense plan you can actually use
What Is the BASELINE Framework?
TheBASELINE Framework is a career survival and advantage system for the AI era.
It helps you move through seven career questions
B — Baseline
What has AI changed about the minimum standard for your work?
A — AI Compression
Which parts of your role are now faster, cheaper, or easier to produce?
S — Skill Repositioning
Which skills should you upgrade, translate, or stop overvaluing?
E — Evidence
What proof can you show that you create value at the new baseline?
L — Labor Demand
Where is demand growing, and which markets are worth targeting?
I — Interview and Income Strategy
How should you position yourself, interview, and negotiate based on real market conditions?
N — New Workflow Advantage
How can you use AI to improve workflows, not just complete tasks?
E — Early-Warning System
How will you keep monitoring career risk before the next crisis?
The framework turns career anxiety into a structured diagnosis.
Less panic.
More signal.
Better moves.
Why This Course Matters
Most professionals make one of three mistakes in the AI era.
First, they panic and try to learn random skills.
Second, they collect AI tools without changing how they create value.
Third, they keep applying for jobs using old assumptions about salary, demand, competition, and proof.
This course helps you avoid those traps.
You will learn to ask better questions
Not
"What skill is trending?"
But
"Where is demand growing, and what skill helps me enter that demand fastest?"
Not
"Can AI replace my job?"
But
"Which parts of my task bundle are becoming easier to compress?"
Not
"How do I write a better CV?"
But
"What business pain does this employer have, and what proof can I show?"
That is the shift.
Course Projects and Practical Tools
This course is artifact-based. You will not just watch lessons.
You will build practical career tools, including
✨ New Professional Baseline Map
✨ Task Value Rebalancing Map
✨ Low-Value Work Compression Map
✨ Judgment Upgrade Canvas
✨ Core Field Expansion Map
✨ Workflow Integration Map
✨ Demand-First Rule Card
✨ AI Opportunity Zone Map
✨ Crowding and Access Filter
✨ Salary Reality Calibration Sheet
✨ Job Pain Diagnosis Canvas
✨ Employability Triangle Scorecard
✨ AI Workflow Upgrade Canvas
✨ AI-Era Career Defense Plan
Each tool helps you make a better career decision.
No fluff. No motivational wallpaper. No "just believe in yourself" confetti cannon.

Who this course is for


⭐ Working professionals worried that AI may reduce their value
⭐ Employees who want to stay relevant as roles change
⭐ People who have been laid off or fear layoffs
⭐ Job seekers who want to find better opportunities faster
⭐ Professionals who want to use AI strategically, not superficially
⭐ Career changers who need to identify realistic opportunity zones
⭐ Managers, coordinators, analysts, marketers, support professionals, HR professionals, educators, operations professionals, and business professionals adapting to AI-era work
⭐ Anyone who wants to become harder to compress economically

Homepage


https://www.udemy.com/course/career-survival-and-advantage-in-the-ai-era


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  Author: Baturi   |   28 June 2026   |   Comments icon: 0

CPIM Mastery Supply Chain Planning & Operations Essentials
Published 6/2026
Created by Muhammad Hakeem
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 24 Lectures ( 1h 29m ) | Size: 1.1 GB
APICS CPIM: Demand Planning, MRP, Inventory, Logistics, Forecasting, Purchasing & Lean for Success. CPIM Prep and Tips.

What you'll learn


⚡ Understand the core principles of supply chain management and their role in modern business operations.
⚡ Explain how business strategy aligns with supply chain and operations management.
⚡ Differentiate between Make-to-Stock (MTS), Assemble-to-Order (ATO), Make-to-Order (MTO), and Engineer-to-Order (ETO) production environments.
⚡ Understand essential financial concepts and financial statements used in operations management.
⚡ Develop and interpret Sales and Operations Planning (S&OP) and Master Production Schedules (MPS).
⚡ Understand the principles and mechanics of Material

Requirements

Planning (MRP) and Capacity

Requirements

Planning (CRP).
⚡ Manage Bills of Materials (BOMs), inventory records, and lot-sizing techniques effectively.
⚡ Evaluate inventory management methods, including EOQ, safety stock, ABC analysis, and cycle counting.
⚡ Apply Lean Manufacturing and Just-in-Time (JIT) concepts to improve operational efficiency.
⚡ Learn warehousing operations, material handling systems, transportation modes, and distribution planning concepts.
⚡ Apply Total Quality Management (TQM) and continuous improvement principles to enhance product and process quality.

Requirements


❗ -- No prior knowledge of supply chain management is required.
❗ -- A willingness to learn and explore modern supply chain and operations management concepts.
❗ -- An interest in production planning, inventory management, purchasing, logistics, and business operations.

Description


This course contains the use of Artificial Intelligence.
|| UNOFFICIAL COURSE ||
Welcome toSupply Chain Management Essentials: Planning, MRP, Inventory & Logistics, a comprehensive course designed to help you build a strong foundation in modern supply chain and operations management. Whether you are a student, business professional, operations manager, procurement specialist, production planner, or someone looking to enter the world of supply chain management, this course provides the knowledge and practical understanding needed to succeed in today's competitive business environment.
Supply chain management plays a vital role in ensuring that products and services move efficiently from suppliers to customers while balancing cost, quality, speed, and customer satisfaction. Throughout this course, you will explore the core principles that drive successful supply chains and learn how strategic decisions influence operational performance across manufacturing, distribution, and service organizations.
You will begin by understanding the fundamentals of supply chain management, including the relationship between business strategy and operational planning. You will learn about different customer fulfillment environments such as Make-to-Stock (MTS), Assemble-to-Order (ATO), Make-to-Order (MTO), and Engineer-to-Order (ETO), along with various manufacturing process types and essential financial concepts that support operational decision-making.
As the course progresses, you will gain a solid understanding of demand management and forecasting techniques. You will discover how organizations predict customer demand, measure forecast accuracy, and develop effective Sales and Operations Planning (S&OP) processes. You will also learn how Master Production Scheduling (MPS) helps align production activities with customer demand while balancing available resources.
A major focus of this course is Material

Requirements

Planning (MRP), one of the most important planning systems used in manufacturing and production environments. You will understand how MRP works, how Bills of Materials (BOMs) are structured, how inventory records impact planning accuracy, and how various lot-sizing techniques influence purchasing and production decisions. In addition, you will explore Capacity

Requirements

Planning (CRP), Rough-Cut Capacity Planning (RCCP), scheduling methods, and techniques used to resolve capacity constraints.
Inventory management is another critical component covered in detail. You will learn the different purposes and costs of inventory, Economic Order Quantity (EOQ), safety stock calculations, ABC inventory classification, cycle counting practices, and inventory control methods that help organizations maintain optimal stock levels while minimizing operational costs.
The course also introduces Production Activity Control (PAC), shop floor execution, Lean manufacturing principles, and Just-in-Time (JIT) systems that improve operational efficiency and reduce waste. These concepts are widely used by organizations seeking continuous improvement and operational excellence.
In addition to production planning, you will study purchasing and supplier management strategies that help organizations build reliable supplier relationships and improve procurement performance. You will also gain knowledge of warehousing operations, storage layouts, material handling systems, transportation modes, distribution planning, and logistics processes that ensure products are delivered efficiently throughout the supply chain.
Quality management is another essential topic covered in this course. You will explore the principles of Total Quality Management (TQM), continuous improvement methodologies, and quality-focused practices that enable organizations to improve customer satisfaction while reducing defects and operational inefficiencies.
The course is presented in a clear, structured, and beginner-friendly format, making even complex supply chain concepts easy to understand. Practical examples and real-world business scenarios are included throughout the lessons to help you connect theoretical concepts with real organizational challenges.
By the end of this course, you will have a comprehensive understanding of supply chain planning, demand forecasting, production scheduling, inventory management, purchasing, logistics, quality management, and operational improvement techniques.
These skills are valuable for professionals working in manufacturing, operations, procurement, logistics, warehousing, production planning, inventory control, and supply chain management, while also providing an excellent knowledge base for learners preparing for professional supply chain certifications.
Whether your goal is to advance your career, strengthen your business knowledge, prepare for certification exams, or simply understand how world-class supply chains operate, this course will provide you with practical knowledge and a solid foundation that you can immediately apply in real-world environments.
Thank you

Who this course is for


⭐ Students pursuing business, operations management, logistics, manufacturing, or industrial engineering studies.
⭐ Supply chain professionals seeking to strengthen their knowledge of planning, inventory, purchasing, and logistics.
⭐ Operations managers, production planners, inventory controllers, procurement specialists, and warehouse professionals looking to enhance their skills.
⭐ Manufacturing professionals who want to understand demand planning, MRP, capacity planning, and production scheduling.
⭐ Business analysts and project managers who work with operations and supply chain teams.
⭐ Entrepreneurs and business owners who want to improve operational efficiency and supply chain performance.
⭐ Professionals preparing for supply chain and operations management certifications or looking to advance their careers in the field.
⭐ Anyone interested in understanding how modern supply chains operate, from demand forecasting to product delivery.

Homepage


https://www.udemy.com/course/cpim-mastery-supply-chain-planning-operations-essentials


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  Author: Baturi   |   28 June 2026   |   Comments icon: 0

Build a Sandwich Shop Game with Raylib & C++
Published 6/2026
Created by Ramey Devs
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 40 Lectures ( 4h 39m ) | Size: 2.7 GB
Learn Raylib and C++ by building a complete sandwich shop game with buttons, textures, ingredients, UI systems, and game

What you'll learn


⚡ Build a complete 2D Sandwich Shop game from scratch using Raylib and C++.
⚡ Learn object-oriented programming by creating reusable classes for buttons, ingredients, sandwiches, and orders.
⚡ Implement game systems including scoring, random order generation, sound effects, and save/load functionality.
⚡ Gain practical experience with vectors, enums, inheritance, asset management, and user interface programming in C++.

Requirements


❗ Basic knowledge of C++ syntax is recommended (variables, functions, and classes). A Windows PC with Visual Studio 2022 installed. A willingness to learn game development by building a complete project from scratch. No prior experience with Raylib is required.

Description


Have you ever wanted to build your own 2D game using modern C++ without relying on a large game engine? In this course, you'll learn how to create a complete sandwich shop game from scratch using the Raylib game development library.
This project is designed to be beginner-friendly while introducing the core concepts used in real game development. Rather than creating isolated demos, you'll build a complete playable game that you can continue expanding after the course.
Throughout the course you'll learn how to
✨ Set up a Raylib C++ project
✨ Draw sprites and textures
✨ Build an ingredient selection system
✨ Create interactive UI buttons
✨ Detect mouse input and button clicks
✨ Build a sandwich by adding ingredients
✨ Manage game state and gameplay logic
✨ Organize code using classes and clean project structure
✨ Load and manage game assets
✨ Polish the game with visual improvements
By the end of this course, you'll have a fully functional sandwich shop game along with the knowledge needed to create your own 2D projects using Raylib.
Whether you're new to game development or looking for a fun project to improve your C++ skills, this course will give you practical experience building a complete game from start to finish.

Who this course is for


⭐ Beginner C++ developers who want to learn game development using Raylib. Students interested in building complete 2D games while learning object-oriented programming. Developers looking for a hands-on project that teaches practical game programming techniques. Anyone who enjoys learning by creating a fun, complete game from start to finish.

Homepage


https://www.udemy.com/course/build-a-sandwich-shop-game-with-raylib-c


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  Author: Baturi   |   28 June 2026   |   Comments icon: 0

Become From Beginner To Expert In Meta Ads
Published 6/2026
Created by Qasim N
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 16 Lectures ( 2h 40m ) | Size: 1.7 GB
Modern Meta Ads: The Complete Guide to CBO, Pixel, Scaling & More

What you'll learn


⚡ Students can become from beginner to expert in meta ads
⚡ Students will learn all aspects of meta ads structure: audiences, creatives, fundamentals, pixel, measuring, ai enhancement & more
⚡ Practical Learning
⚡ Learn From Real Time Meta Ads Stats

Requirements


❗ No requirement, even if you know nothing about meta ads. This course will teach you everything from scratch.

Description


Are you ready to unlock the full potential of Meta advertising and turn clicks into consistent revenue? Whether you are a business owner trying to scale your sales, an aspiring freelancer looking for high-paying clients, or a marketer wanting to master paid media, this course is your definitive blueprint.
We skip the fluff and dive straight into the actual systems used by top digital agencies. You won't just learn where the buttons are; you will master the data-driven strategies behind building, optimizing, and scaling high-performing campaigns.
By the end of this course, you will confidently navigate Meta Business Manager, build high-converting ad structures, master advanced audience targeting, and make data-backed optimization decisions using expert metrics like ROAS.

What You Will Learn


The Blueprint: Master Meta Ad Objectives to align your campaigns perfectly with your business goals, and smoothly navigate the complete ecosystem ofMeta Business Portfolio.
The Architecture: Learn step-by-step how to create a campaign from scratch, mastering the structural mechanics across theCampaign, Ad Set, and Ad Levels.
The Target: Dive deep into audience mechanics—fromBroad targeting andDetailed (Interest-based) targeting to advanced data leverage using theMeta Pixel.
The Growth Machine: Unlock advanced retention and scaling strategies by building high-valueCustom Audiences (retargeting) and high-intentLookalike Audiences.
The Budget Blueprint: Understand how to properly allocate your ad spend, and master the structural differences betweenABO (Ad Set Budget Optimization) andCBO (Campaign Budget Optimization) for maximum efficiency.
The Creative Lab: Discover the different types of ad creatives that grab attention, and learn how to build visual assets that stop the scroll and drive conversions.
The Analytics Command Center: DemystifyMeta Reporting. Learn how to accurately measure, judge, and audit performance using data, focusing on bottom-line metrics likeROAS (Return on Ad Spend) to confidently scale winners and kill losers.

Who this course is for


⭐ all new marketers and meta advertisers

Homepage


https://www.udemy.com/course/become-from-beginner-to-expert-in-meta-ads


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  Author: Baturi   |   28 June 2026   |   Comments icon: 0

Automotive Scanner Diagnostic Specialist
Published 6/2026
Created by Benito Sánchez
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 18 Lectures ( 1h 31m ) | Size: 709.7 MB
Learn how to diagnose your car using an automotive scanner

What you'll learn


⚡ You will learn how an automotive scanner works and how to correctly read DTC codes.
⚡ You will understand the tests performed on a vehicle when taken to a repair shop.
⚡ You will be able to diagnose the different systems within the vehicle.
⚡ By the end of this course, you will know how to use the various types of scanners available.

Requirements


❗ No prior

Requirements

needed.

Description


"This course contains the use of artificial intelligence."
In this course, Automotive Scanner Diagnostic Specialist, we focus on explaining how to diagnose an internal combustion vehicle through scanning its internal systems.
We begin by explaining what scanner-based diagnostics are and their importance in the automotive field. Then, we will review the evolution of automotive diagnostic systems, starting with OBD I and its standardization with the OBD II connector.
Next, we will cover the communication protocols available in the OBD II connector and how they have been incorporated over the years. We will then explain what a DTC is, how to read it, and how to interpret it correctly.
After learning how to read DTC codes, we will explore what an automotive scanner is and the different types available, so you can choose the one that best fits the system you want to diagnose.
We will continue by showing how to work with different types of automotive scanners, from the simplest to the most advanced. Finally, we will look at some specialized devices designed for specific vehicle systems.
Note: This course is straightforward and practical. Its goal is to teach you how to interpret DTCs, diagnose faults based on them, and understand which type of scanner is best suited for each situation.

Who this course is for


⭐ People who want to learn how to diagnose their car using a scanner.
⭐ Automotive mechanics students.
⭐ Automotive electricity students.
⭐ Professional mechanics who want to expand their knowledge.

Homepage


https://www.udemy.com/course/automotive-scanner-diagnostic-specialist


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  Author: Baturi   |   28 June 2026   |   Comments icon: 0

AlgoTrading A thorough investigation into Cost Averaging 01
Published 6/2026
Created by Joy D Moyo, Latvian Trading Solutions
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 10 Lectures ( 3h 22m ) | Size: 2.5 GB
Master fixed distance cost averaging: lot sizing, scaling, and precise exit strategies.

What you'll learn


⚡ Master fixed distance cost averaging using same, linear, and exponential lot sizing algorithms.
⚡ Program dynamic breakeven exits that incorporate specific pip targets and fixed monetary profit.
⚡ Deploy advanced exits combining breakeven, trailing stop losses, and partial closures of winners.
⚡ Construct conservative and aggressive interval scaling models to carefully manage trade drawdowns.

Requirements


❗ Basics on Algorithmic trading

Description


If you are looking to build robust algorithmic trading systems, mastering how your algorithms scale into positions during drawdowns is critical. This comprehensive course provides an exhaustive look into one of the most powerful and heavily utilized recovery mechanics in automated trading: cost averaging. Specifically, we will take a deep, analytical dive into how to architect cost averaging strategies based on a fixed distance.
This course strips away the fluff and focuses entirely on the mechanical, mathematical, and logical frameworks required to program and optimize grid and recovery systems.
Core Lot Sizing Strategies
In this curriculum, you will explore the foundation and practical application of various lot size scaling models. We will rigorously examine how to manage risk and recovery by testing
Same Lotsize Cost Averaging: The baseline approach for steady, predictable scaling without increasing exposure per trade.
Linear Lotsize Increase: Scaling your positions using a standard linear multiplier to systematically average down.
Conservative Linear Interval of 3: A modified approach that increases lot sizes cautiously in intervals of three.
Aggressive Linear Interval of 3: A more accelerated linear scaling model designed for rapid recovery.
Exponential Lotsize Increase: Utilizing exponential growth for rapid cost-basis reduction.
Conservative and Aggressive Exponential Intervals: Nuanced exponential models that increase lot sizes at intervals of three to carefully balance drawdown and recovery speeds.
Advanced Algorithmic Exit Strategies
A scaling strategy is only as effective as its exit protocol. For every single lot sizing model discussed above, you will learn how to implement five highly specific dynamic exit methodologies. You will learn how to program your systems to
✨ Execute a pure exit at breakeven to escape complex drawdowns without taking a loss.
✨ Combine an exit at breakeven with a predetermined profit target measured in pips.
✨ Design an exit at breakeven plus a specific monetary amount profit to meet strict equity goals.
✨ Enhance your exit at breakeven by utilizing a trailing stop loss to capture extended market momentum.
✨ Implement a highly advanced exit at breakeven that triggers a partial close of your biggest winning positions while simultaneously trailing the stop loss for the remaining volume.
Who is this course for?
Whether you are an intermediate algorithmic trader looking to refine your Expert Advisors (EAs), or a quantitative analyst aiming to understand the exact mechanics associated with grid systems, this course gives you the blueprints. By isolating these scaling mechanics on a fixed distance, you will gain a pure understanding of how lot manipulation and dynamic exits impact your overall equity curve. Enroll today to elevate how your trading algorithms handle market volatility!

Who this course is for


⭐ Programmers building Expert Advisors in languages like MQL5 who need the precise mathematical logic and architectural frameworks to program robust scaling and recovery mechanics into their bots.
⭐ System developers and strategy testers looking to accurately model the impact of linear versus exponential lot multipliers on a portfolio's equity curve, margin

Requirements

, and drawdown limits.
⭐ Traders who currently utilize grid or recovery bots but want to look under the hood to deeply understand the mechanics of fixed distance intervals and dynamic breakeven exits to better optimize their inputs.
⭐ Technical traders who want to move beyond basic stop losses and learn how to mathematically engineer their way out of losing positions using controlled, formulaic cost averaging.

Homepage


https://www.udemy.com/course/algotrading-a-thorough-investigation-into-cost-averaging-01


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  Author: Baturi   |   28 June 2026   |   Comments icon: 0

AWS Code Deploy and AWS Cloudwatch for Beginners
Published 6/2026
Created by Janniai Academy
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 9 Lectures ( 51m ) | Size: 395.4 MB
Master AWS Code Deploy and AWS Cloudwatch with basics and hands-on Projects

What you'll learn


⚡ Master AWS CodeDeploy Fundamentals
⚡ Monitor Applications with Amazon CloudWatch
⚡ Implement Automated Deployment & Monitoring Workflows
⚡ Build Real-World DevOps Skills

Requirements


❗ You do not need to have any experience at all

Description


Kickstart your DevOps journey by learning two of the most essential AWS services for application deployment and monitoring—AWS CodeDeploy and Amazon CloudWatch. This beginner-friendly course is designed for students, developers, system administrators, DevOps engineers, and cloud enthusiasts who want to automate deployments and monitor AWS applications with confidence.
You will begin by understanding the fundamentals of AWS CodeDeploy, including deployment concepts, deployment groups, deployment configurations, AppSpec files, lifecycle hooks, and deployment strategies. Through hands-on demonstrations, you'll learn how to deploy applications to Amazon EC2 instances, AWS Lambda, and Amazon ECS while minimizing downtime.
Next, you'll explore Amazon CloudWatch and learn how to monitor the health, availability, and performance of your AWS resources. You'll work with metrics, logs, dashboards, alarms, events, and log insights to gain real-time visibility into your applications and infrastructure. You'll also discover how CloudWatch integrates with CodeDeploy to automate deployments based on monitoring and alerting.
Throughout the course, you'll complete practical exercises that reinforce key concepts and prepare you to implement deployment automation and monitoring in real-world AWS environments. Whether you're preparing for an AWS certification, building your DevOps skills, or looking to automate deployments in the cloud, this course provides the practical knowledge and hands-on experience you need to get started with AWS CodeDeploy and Amazon CloudWatch.

Who this course is for


⭐ It is for anyone wanting to master AWS basics

Homepage


https://www.udemy.com/course/aws-code-deploy-and-aws-cloudwatch-for-beginners


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  Author: Baturi   |   28 June 2026   |   Comments icon: 0

ARCADE Expression Language for ArcGIS Pro – Complete Bootcam
Published 6/2026
Created by Yogesh Sharma
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 5 Lectures ( 4h 19m ) | Size: 1.9 GB
Master Arcade expressions in ArcGIS Pro with practical GIS projects, field calculations, labels, popups, and forms.

What you'll learn


⚡ Write Arcade expressions from scratch using variables, operators, functions, and conditional logic for real-world ArcGIS Pro projects.
⚡ Create dynamic labels, advanced symbology, and informative pop-ups that improve map visualization and user experience.
⚡ Perform field calculations and build reusable expressions to automate repetitive GIS tasks with greater accuracy and efficiency.
⚡ Design and implement attribute rules to validate data, enforce quality standards, and improve data integrity in ArcGIS Pro.
⚡ Use Arcade profiles, geometry functions, text functions, date functions, and feature sets to solve complex GIS problems.
⚡ Debug, optimize, and troubleshoot Arcade expressions using best practices to improve performance and maintainability.
⚡ Apply Arcade expressions in real-world GIS workflows through hands-on exercises and practical projects based on industry scenarios.

Requirements


❗ Basic knowledge of GIS concepts is helpful but not mandatory.
❗ A computer (Windows recommended) capable of running ArcGIS Pro.
❗ Access to ArcGIS Pro (licensed version or trial version).
❗ No prior experience with the Arcade Expression Language is required.
❗ Familiarity with creating maps, layers, and attribute tables in ArcGIS Pro is beneficial.
❗ Willingness to practice with the downloadable sample datasets and exercises provided in the course.
❗ A desire to automate GIS workflows and enhance maps using Arcade expressions.

Description


Unlock the full potential ofArcade Expression Language and take yourArcGIS Pro skills to the next level. This comprehensive course is designed for GIS professionals, students, surveyors, planners, developers, and anyone who wants to create smarter, more dynamic GIS workflows using Arcade.
Starting from the fundamentals, you'll learn the syntax, functions, operators, variables, and best practices required to write effective Arcade expressions. Through practical, real-world examples, you'll discover how to build custom labels, create advanced symbology, configure informative pop-ups, perform field calculations, validate data with attribute rules, and automate repetitive GIS tasks.
The course emphasizes hands-on learning, with step-by-step demonstrations and downloadable practice datasets that allow you to follow along and apply your knowledge immediately. Each concept is explained clearly, making it suitable for beginners while also covering advanced techniques used by experienced GIS professionals.
By the end of this course, you'll be able to confidently write, troubleshoot, and optimize Arcade expressions to improve data visualization, enhance map quality, and streamline your GIS workflows. Whether you're preparing for a GIS career, improving workplace productivity, or expanding your ArcGIS Pro expertise, this course will equip you with practical skills that you can use in real-world GIS projects from day one.

Who this course is for


⭐ GIS professionals who want to automate workflows and enhance maps using Arcade expressions.
⭐ ArcGIS Pro users looking to master labels, symbology, pop-ups, field calculations, and attribute rules.
⭐ Students and graduates preparing for careers in GIS, geospatial technology, or spatial data analysis.
⭐ Surveyors, planners, and utility professionals who use ArcGIS Pro for data management and visualization.
⭐ GIS analysts and technicians seeking to improve productivity with dynamic and reusable Arcade expressions.
⭐ Developers and GIS administrators who want to extend ArcGIS Pro functionality without extensive programming.
⭐ Anyone new to Arcade Expression Language who wants to learn from scratch through practical, real-world examples.
⭐ Professionals preparing for GIS job interviews or career advancement by gaining an in-demand ArcGIS Pro skill.

Homepage


https://www.udemy.com/course/arcade-expression-language-for-arcgis-pro-complete-bootcam


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  • 0
  Author: Baturi   |   28 June 2026   |   Comments icon: 0

AI Tools for Real Estate Professionals
Last updated 3/2026
Created by Sawan Kumar
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English + subtitle | Duration: 34 Lectures ( 5h 3m ) | Size: 7.2 GB
Master modern AI solutions to generate leads, automate workflows, and close deals faster in real estate

What you'll learn


⚡ Use ChatGPT to streamline property valuation and client communications effectively.
⚡ Implement AI tools for accurate market analysis and predictive property trends.
⚡ Enhance client services with AI-driven personalization at scale.
⚡ Utilize AI for creating engaging marketing content and property listings.
⚡ Master virtual tours with AI tools like HeyGen and Descript for immersive experiences.
⚡ Apply AI-driven automation to improve workplace efficiency and client interactions.
⚡ Develop AI-powered strategies for effective risk assessment and mitigation.
⚡ Understand ethical considerations to ensure responsible use of AI in real estate.
⚡ Optimize resource allocation and scheduling using AI technologies.
⚡ Explore future trends in real estate technology to stay ahead in the market.

Requirements


❗ Basic understanding of real estate principles.
❗ Access to a computer and internet connection.
❗ Familiarity with digital marketing concepts.
❗ Willingness to learn AI applications in real estate.
❗ No prior AI experience required.
❗ Interest in enhancing property valuation techniques.
❗ Basic knowledge of social media platforms.
❗ Commitment to completing hands-on projects.
❗ Curiosity about AI ethics and data privacy.
❗ Desire to improve client engagement with AI.

Description


The real estate industry is evolving — and AI is at the forefront of transforming how agents, brokers, and consultants generate leads, manage clients, and close deals. Professionals who adopt AI today gain a significant edge over competitors who rely solely on traditional methods.
AI in Real Estate: Modern Tools for Professionals is a practical, hands-on course designed to teach real estate professionals how to leverage AI technologies to streamline their workflow, boost productivity, and maximize revenue. Whether you're a new agent, an experienced realtor, or a broker managing a team, this course equips you with actionable strategies and AI tools that work in real-world markets.
What You'll Learn
✨ How AI can transform lead generation, client engagement, and follow-ups
✨ Tools to automate repetitive tasks like property listings, emails, and social media content
✨ How to use ChatGPT and AI-powered assistants for writing property

Description

s and marketing copy
✨ Techniques to analyze market trends and identify high-value clients
✨ How to implement AI workflows for faster deal closure
✨ Best practices for integrating AI into your daily real estate operations

Who this course is for


⭐ Real Estate Agents: Enhance your sales strategies with AI tools.
⭐ Brokers: Optimize property valuation and market analysis using AI.
⭐ Property Managers: Improve operational efficiency with AI-driven tools.
⭐ Real Estate Marketers: Create engaging AI-powered marketing campaigns.
⭐ Real Estate Investors: Utilize predictive analytics for informed investment decisions.
⭐ Tech-Savvy Professionals: Explore innovative AI applications in real estate.
⭐ Students & Educators: Learn AI tools to support real estate education and research.
⭐ Business Owners: Integrate AI into your real estate business for growth.
⭐ Customer Service Managers: Enhance client interactions with AI personalization.
⭐ Anyone Interested in AI in Real Estate: Upskill and advance your real estate career.

Homepage


https://www.udemy.com/course/ai-in-real-estate-modern-tools-for-professionals-chatgpt


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