Download Free Software Gratis e Completos Webmaster Mocambique

Published 8/2025
Created by Imran Afzal
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 261 Lectures ( 28h 14m ) | Size: 12.1 GB

Master Python for Data Science, AI, Machine Learning, Web Development, Game Development, Cybersecurity, and GUI!

What you'll learn
You will acquire the fundamental Python skills required for roles in data science, web development, AI, and cybersecurity.
You will gain a solid understanding of object-oriented programming, which is the foundation of building scalable and reusable Python applications.
These core Python skills will help you explore advanced fields like machine learning, deep learning, blockchain development, and ethical hacking.
By completing this course, you'll be able to build projects using Flask, Django, Tkinter, and even create games with Pygame.
You will learn how to work with databases, build REST APIs, and scrape real data from websites using Python web scraping tools.
You will also gain hands-on experience in creating AI models using TensorFlow, PyTorch, and Neural Networks, and learn how to apply them in real-world problems.
You will prepare for real-world job success with guidance on portfolio building, resume writing, and technical interview readiness.

Requirements
No prior programming experience is required - this course starts from absolute basics.
A basic understanding of how to use a computer and browse the internet is helpful.
You should be comfortable with installing software and managing files on your computer.
A stable internet connection to download tools, libraries, and course files.
A desire to learn Python and explore fields like AI, web development, game design, and cybersecurity.

Description
Welcome to the Complete Python with AI Skills to Get Your Dream IT Job - your all-in-one learning experience designed to take you from a beginner programmer to a highly skilled Python developer, equipped for real-world careers in data science, machine learning, artificial intelligence, web development, cybersecurity, and more. Whether you're looking to write your first line of Python code or expand your skills into advanced topics like deep learning, blockchain, or cloud computing, this course provides the training, tools, and projects to help you succeed.You'll start with programming fundamentals and object-oriented programming using Python, and then advance through hands-on projects in data analytics, neural networks, Python game development using Pygame, GUI development with Tkinter, and web development with Flask, Django, and custom-built Python APIs. You'll gain practical experience using NumPy, TensorFlow, and PyTorch, and apply your knowledge to real-world projects like AI prediction tools, secure login systems, portfolio websites, and even your own Python blockchain.If your goal is to enter the world of cybersecurity, you'll also learn ethical hacking, secure coding, encryption, and how to monitor system logs using Python for cybersecurity. You'll build your understanding from the ground up while working on engaging use cases like brute-force simulators, file encryption tools, and real-time web scrapers.Beyond coding, this course helps you build a professional portfolio, write a strong resume, and prepare for job interviews with confidence. We'll guide you through showcasing your best projects on GitHub, explaining your code clearly, and answering key technical and behavioral questions during interviews.By the end of this course, you'll not only master complete Python programming - you'll be ready for roles in AI, data science, web scraping, ethical hacking, cloud development, and more. Whether you're aiming for a promotion, a new career, or to become a full stack Python developer, this course will help you get there.Why Enroll in This Course?Lifetime Access: Learn at your own pace with unlimited access and free updates forever.Project-Based Learning: Build real apps in AI, games, web, GUI, and cybersecurity.All-in-One Python Path: Covers data science, machine learning, APIs, and full stack.Career-Ready Skills: Get tools for portfolios, resumes, and technical interviews.Community Support: Ask questions and get help from instructors and fellow learners.No Prior Experience Needed: Start from zero and go to expert - step by step.Versatile Use Cases: Code for automation, web scraping, blockchain, and more.Updated for Today's Jobs: Aligned with industry trends and hiring needs.Get ready to learn, build, and transform your future. Enroll now in the Complete Python with AI Skills to Get Your Dream IT Job and take the first step toward your dream IT job.

Who this course is for
Anyone who wants to start a career in Python programming
This Python course is designed to take you from a beginner to an expert level
Anyone who wants complete Python training to get a job in IT, AI, or Web Development
Anyone who wants to master Python for data science, machine learning, cybersecurity, or game development
Anyone who wants help and guidance in resume building and job interview preparation

Homepage

https://www.udemy.com/course/complete-python-with-ai-skills-to-get-your-dream-it-job/

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Released 7/2025
By Sander van Vugt
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 10h 25m | Size: 2.51 GB


Learn everything you need to know to get started with Linux.

In this focused course you will
Learn Linux basics, concepts, and practices
Gain experience through hands-on labs in every lesson
Explore how to use Linux in real-world scenarios
Unlock the full potential of Linux with this comprehensive training course, designed to take you from beginner to expert with hands-on labs in every lesson. Start by mastering the essentials, including installing Linux, navigating GNOME, and managing files with both basic and advanced tools. Then, gain critical insights into essential administration tasks such as user and group management, permissions, and storage essentials. As you progress, youll learn how to manage running systems, covering key topics like networking, software management, and system processes. Finally, delve into advanced topics such as containers, kernel management, and Linux security. Whether youre looking to enhance your career or deepen your technical expertise, this course provides the practical experience and knowledge you need to excel in the world of Linux.
Each lesson ends with two lab videos: the first sets up the lab and provides instructions for finishing a real-world task and the second then walks you through the lab so you can compare your work to the instructors.
Start your Linux career today!

Related Learning
Sign up for Linux classes by Sander van Vugt:
https://learning.oreilly.com/search/?q=linux%20sander%20van%20vugt&type=live-course&rows=100&publishers=Pearson
Sign up for more live trainings by Sander van Vugt:
https://learning.oreilly.com/search/?q=sander%20van%20vugt&type=live-course&rows=100&publishers=Pearson
Skill Level
Beginner

Course Requirement
Students should be able to install a virtual machine that runs Linux.

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Released 7/2025
By Arkadiusz Borucki
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 15h 53m | Size: 4.3 GB


Deliver flexible, scalable, and high-performance data storage that's perfect for AI and other modern applications with MongoDB 8.0 and MongoDB Atlas multi-cloud data platform.

In MongoDB 8.0 in Action, Third Edition you'll find comprehensive coverage of the latest version of MongoDB 8.0 and the MongoDB Atlas multi-cloud data platform. Learn to utilize MongoDB's flexible schema design for data modeling, scale applications effectively using advanced sharding features, integrate full-text and vector-based semantic search, and more. This totally revised new edition delivers engaging hands-on tutorials and examples that put MongoDB into action!

In MongoDB 8.0 in Action, Third Edition you'll
Master new features in MongoDB 8.0
Create your first, free Atlas cluster using the Atlas CLI
Design scalable NoSQL databases with effective data modeling techniques
Master Vector Search for building GenAI-driven applications
Utilize advanced search capabilities in MongoDB Atlas, including full-text search
Build Event-Driven Applications with Atlas Stream Processing
Deploy and manage MongoDB Atlas clusters both locally and in the cloud using the Atlas CLI
Leverage the Atlas SQL interface for familiar SQL querying
Use MongoDB Atlas Online Archive for efficient data management
Establish robust security practices including encryption
Master backup and restore strategies
Optimize database performance and identify slow queries
MongoDB 8.0 in Action, Third Edition offers a clear, easy-to-understand introduction to everything in MongoDB 8.0 and MongoDB Atlas—including new advanced features such as embedded config servers in sharded clusters, or moving an unsharded collection to a different shard. The book also covers Atlas stream processing, full text search, and vector search capabilities for generative AI applications. Each chapter is packed with tips, tricks, and practical examples you can quickly apply to your projects, whether you're brand new to MongoDB or looking to get up to speed with the latest version.

About the Technology
MongoDB is the database of choice for storing structured, semi-structured, and unstructured data like business documents and other text and image files. MongoDB 8.0 introduces a range of exciting new features—from sharding improvements that simplify the management of distributed data, to performance enhancements that stay resilient under heavy workloads. Plus, MongoDB Atlas brings vector search and full-text search features that support AI-powered applications.

About the Book
MongoDB 8.0 in Action, Third Edition you'll learn how to take advantage of all the new features of MongoDB 8.0, including the powerful MongoDB Atlas multi-cloud data platform. You'll start with the basics of setting up and managing a document database. Then, you'll learn how to use MongoDB for AI-driven applications, implement advanced stream processing, and optimize performance with improved indexing and query handling. Hands-on projects like creating a RAG-based chatbot and building an aggregation pipeline mean you'll really put MongoDB into action!

What's Inside
The new features in MongoDB 8.0
Get familiar with MongoDB's Atlas cloud platform
Utilizing sharding enhancements
Using vector-based search technologies
Full-text search capabilities for efficient text indexing and querying

About the Reader
For developers and DBAs of all levels. No prior experience with MongoDB required.

About the Author
Arek Borucki is a MongoDB Champion, certified MongoDB and MongoDB Atlas administrator with expertise in distributed systems, NoSQL databases, and Kubernetes.

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Published 8/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.87 GB | Duration: 7h 34m


MATLAB for Beginners: Learn Programming & Simulink from Scratch

What you'll learn
How to use the MATLAB interface and write your first code
Work with vectors, matrices, and perform calculations
Write programs using loops, conditions, and functions
Simulate real-world systems using Simulink
Complete mini and major MATLAB projects with guidance
Use ChatGPT for code help, project ideas, and smart learning

Requirements
Start from scratch—no MATLAB experience needed. Just basic math, simple programming logic, a computer with MATLAB installed, and curiosity to learn.
Description
This beginner-friendly MATLAB course is designed for students, researchers, and professionals who want to learn MATLAB from scratch and apply it in real-world projects. Whether you are from mechanical, electrical, electronics, computer science, or civil engineering—this course will help you master MATLAB basics, programming logic, data visualization, Simulink modeling, and project work.Using easy-to-understand lessons, examples, and guided exercises, this course helps you build confidence with MATLAB tools. You will also use ChatGPT as a smart assistant to solve problems, write code, and speed up your learning.What You Will Learn:How to use the MATLAB interface and write your first codeWork with vectors, matrices, and perform calculationsWrite programs using loops, conditions, and functionsHandle files and analyze data from Excel/CSVCreate beautiful 2D and 3D plotsPerform basic statistical analysis and regressionSimulate real-world systems using SimulinkComplete mini and major MATLAB projects with guidanceUse ChatGPT for code help, project ideas, and smart learningWho Should Join This Course:Engineering students (from 2nd year onwards)Master students working on simulation or modelingPhD scholars using MATLAB for researchProfessionals in R&D, automation, aerospace, automotive, or data scienceTeachers and lab instructors looking to integrate MATLABAnyone curious about MATLAB but has no prior experienceWhy Choose This Course:Step-by-step lessons for beginnersReal-world applications and projectsSmart support with ChatGPTPractice exercises to build skillsIdeal for both students and working professionals

Overview
Section 1: Introduction to MATLAB
Lecture 1 Understand MATLAB interface and environment
Lecture 2 Learn basic commands and operations
Lecture 3 Variable declaration and data types
Lecture 4 Distinguish between scripts and functions
Lecture 5 Solve basic equations
Lecture 6 Use ChatGPT to compare MATLAB variables with Python variables
Section 2: Vectors, Matrices, and Arrays
Lecture 7 Create and manipulate vectors and matrices
Lecture 8 Understand indexing and slicing
Lecture 9 Perform matrix operations
Lecture 10 Use built-in functions like linspace, zeros, ones, eye
Lecture 11 Practice with a matrix calculator (add, multiply, transpose)
Lecture 12 Solve matrix problems using ChatGPT
Section 3: Programming Fundamentals
Lecture 13 Apply conditional statements (if, else, switch)
Lecture 14 Use loops (for, while)
Lecture 15 Nested loops
Lecture 16 Perform logical indexing
Lecture 17 Generate Fibonacci series
Lecture 18 Use ChatGPT to understand loop implementation through examples
Section 4: Functions and File I/O
Lecture 19 Create user-defined functions
Lecture 20 Define input/output arguments
Lecture 21 Handle files
Lecture 22 Save and load the workspace
Lecture 23 Function-based marksheet generator
Lecture 24 Use ChatGPT to create reusable functions
Section 5: Plotting and Visualization
Lecture 25 Create 2D plots (plot, bar, hist, pie)
Lecture 26 Use multiple plots and subplots
Lecture 27 Build 3D plots (mesh, surf, contour)
Lecture 28 Customize and annotate plots
Lecture 29 Plot trigonometric functions
Lecture 30 Use ChatGPT to read a CSV file and plot selected data columns
Section 6: Data Analysis and Statistics
Lecture 31 Import and clean data
Lecture 32 Perform descriptive statistics (mean, median, std, var)
Lecture 33 Implement curve fitting and interpolation
Lecture 34 Conduct basic regression
Lecture 35 Analyze and visualize statistical data
Lecture 36 Use ChatGPT to plot sine and cosine curves together
Section 7: Simulink Basics
Lecture 37 Introduction to Simulink environment
Lecture 38 Build simple models
Lecture 39 Understand blocks and signal flow
Lecture 40 Use simulation controls
Lecture 41 Create a Simulink model for a basic electrical circuit (Ohm's Law)
Lecture 42 Perform regression analysis using ChatGPT
Section 8: MATLAB Minor Project – Part 1
Lecture 43 Project 1: differential equations
Lecture 44 Project 2: Integration
Section 9: MATLAB Minor Project – Part 2
Lecture 45 Project 3: Fourier transform
Lecture 46 Project 4: Laplace transform
Section 10: Project Part-3
Lecture 47 Project 5: Clustering
Lecture 48 Project 6: Calculator
Engineering students (from 2nd year onwards),Professionals in R&D, automation, aerospace, automotive, or data science,Anyone curious about MATLAB but has no prior experience

Homepage
https://www.udemy.com/course/matlab-programming-and-simulation/

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1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 40 Lessons ( 8h 28m ) | Size: 3 GB


This course offers a step-by-step immersion into the world of computer networks: from basic concepts and clear examples to complex technologies used in real corporate infrastructures. The training is structured so that even a beginner can quickly get oriented, while an experienced specialist can systematize and deepen their knowledge.

The subsequent modules of the course expand your horizons step by step
Types of networks and topologies - from local to global, from bus to star;
OSI and TCP/IP models - layers, functions, comparison;
Network equipment and cabling systems;
Ethernet, ARP, VLAN, protocols for all levels;
IPv4/IPv6 addressing, routing, BGP, OSPF, EIGRP;
Switching technologies and IEEE standards;
Security - from firewalls and IDS/IPS to VPN and cryptography;
Network monitoring, diagnostics, and optimization;
Modern approaches - virtualization, SDN, CDN, redundancy.
The course combines theory with practical examples, so you not only memorize terms but also understand how they work in real conditions.
After completing the program, you will confidently navigate the field of network technologies, understand architecture and protocols, and be able to design, configure, and analyze the performance of computer networks.

Homepage
https://takeuforward.org/plus/course-details/computer-networks

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280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 39m | Size: 490 MB


Start making profit using natural structure

What you'll learn
NO INDICATORS,The Simplest Way to Trade — No Confusion, Just Results! Learn in 20 minutes Profit guaranteed
Start with just $20 and grow your account step-by-step
NO SMC ,NO MOVING AVERAGES, Pure, NO COMPLEX CONCEPTS Price Action + Powerful Trendline Reversals
simple • Profitable • Powerful Focus, follow the rules, and watch your results grow! ---
King reversals trading strategy 100% profit guaranteed
Requirements
Easy to understand — Perfect for Beginners!

Description
KING REVERSAL STRATEGY: The Simplest Way to Trade — No Confusion, Just Results!Are you tired of complicated trading systems, confusing indicators, and strategies that never seem to work? The King Reversal Strategy is designed with one goal in mind: to help you trade simply and effectively, even if you're a complete beginner.This method removes all the clutter — no SMC, no robots, no stop losses, and no complicated technical tools. Instead, it focuses purely on price action and trendline reversals — a natural and powerful way to understand the market. You'll learn how to identify reversal points with precision and confidence.One of the biggest advantages of this strategy is that you can start small — just $20 is enough to begin. Whether you're a student, a full-time worker, or someone looking to build a side income, this course gives you a practical, step-by-step approach to grow your account safely and steadily.The King Reversal Strategy is easy to understand and apply, with simple rules and visual patterns. You'll learn how to enter trades with clarity and exit with profits — without relying on any confusing tools or signals. By following this reversal-based method, we aim to make steady profits with a clear plan.This course is perfect for:- Complete beginners

Who this course is for
This is the easiest strategy to learn — even beginners can understand it easily and make profits. No complications, no complex concepts."
With this simple strategy, even a 20 account has the potential to grow steadily."

Homepage
https://www.udemy.com/course/20-minutes-forex-strategy/

Citaçãohttps://nitroflare.com/view/F6DA721AD131F6A

https://rapidgator.net/file/e3e47618fe387df017844c912b3f2d44

Published 8/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 55m | Size: 934 MB


Speed Reading Course- Learn Practical Techniques To Improve Reading Speed

What you'll learn
Understand the core principles of speed reading and overcome common mental barriers to reading faster.
Measure and record your initial reading speed (Words Per Minute) to establish a personal baseline for progress.
Suppress the habit of subvocalization by applying the mental counting technique to achieve an immediate increase in reading speed.
Use a physical pacer to eliminate the habit of regression (rereading) and maintain forward reading momentum.
Utilize a pacer to actively set a faster reading pace, pushing beyond your comfort zone to build speed.
Practice the "Z" pattern pacing method to train your eyes for more efficient vertical movement down the page.
Apply the "chunking" technique by using the 3-taps-per-line method to process multiple words with each eye fixation.
Expand your effective field of vision by using the indented focus drill, relying on peripheral vision to read entire lines.
Execute the two-fixation speed workout to dramatically increase your visual processing speed.
Integrate all learned speed techniques to identify and read at your optimal "Effective Reading Speed" while maintaining comprehension.
Apply the active reading strategy by formulating questions before reading to improve focus and information retention.
Use visualization techniques while reading to transform text into a "mental movie," significantly boosting memory recall.
Synthesize all learned skills into a single, fluid reading process in preparation for the final test.
Demonstrate a significant increase in your effective reading speed by successfully completing the final WPM and comprehension test.
Create a personal action plan to integrate speed reading techniques into your daily life, ensuring the skill becomes a permanent habit.

Requirements
There are no requirements

Description
This course contains the use of artificial intelligence.In a world overflowing with information, do you ever feel like you're falling behind? From endless emails and reports at work to the stack of books you want to read, it's easy to feel overwhelmed. This course offers a practical solution.Our Speed Reading Course is a concise, no-fluff program designed to help you read faster and more efficiently, without sacrificing comprehension. Through a series of action-oriented lectures, you will learn tangible skills—not just abstract theories. We will immediately tackle the common habits that hold readers back, like subvocalization (the voice in your head) and regression (unnecessary rereading).Each lecture includes a hands-on exercise and a timed reading test, allowing you to see and measure your progress every step of the way. You will learn to use a pacer to guide your eyes, see groups of words instead of single ones, and approach texts with more purpose.The goal isn't to make unrealistic promises, but to give you a proven method for improving your reading speed and focus. Whether you want to get through your work faster or finally make a dent in your reading list, this course provides the tools to make it happen.Enroll now and invest in a skill that will reclaim hours of your time.

Who this course is for
Anyone who would like to improve their reading speed

Homepage
https://www.udemy.com/course/speed-reading-course-read-fast-remember-more/

Citaçãohttps://nitroflare.com/view/0D787CE3DFEBCF8

https://rapidgator.net/file/66eee7e4790b7f34acdf2568404f23e6

Published 8/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 14h 9m | Size: 7.81 GB


Hands-on Prometheus & Grafana to master observability, alerts & dashboards for DevOps, Cloud Engineers & SREs.

What you'll learn
Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, Create Custom Exporter, HTTP API, and many more...
Grafana Basics & UI Navigation
Query Building & Data Transformation
Apply monitoring skills in DevOps, SRE & Cloud Engineering roles to boost career growth.

Requirements
Basic knowledge of Linux commands (helpful but not mandatory).
Internet Connection & Browser Access

Description
Are you ready to master monitoring and observability with the world's most popular open-source tools — Prometheus and Grafana?In today's fast-paced DevOps and Cloud environments, effective monitoring is no longer optional — it's a must-have skill for every DevOps Engineer, SRE, and Cloud Professional. This hands-on course will guide you step by step, from setting up Prometheus and Grafana to building real-world dashboards, alerts, and monitoring pipelines.You'll learn how to:Install and configure Prometheus for metrics collection.Build powerful Grafana dashboards to visualize data.Set up alerting rules & notifications for proactive incident management.Monitor applications, servers, containers, and cloud infrastructure.Apply your skills with hands-on labs & real-world projects.This course is designed for beginners and professionals alike. Even if you've never worked with Prometheus or Grafana before, we'll cover everything from scratch with practical demos and examples.By the end of this course, you'll have the confidence to set up production-ready monitoring solutions that will give you — and your team — complete visibility into your systems.Whether you are preparing for your next DevOps role, improving your SRE skill set, or simply want to upgrade your monitoring stack, this course will help you achieve your goals.Enroll now and take the first step toward becoming a Prometheus & Grafana expert!

Who this course is for
DevOps Engineers & SREs
Someone who is curious and wants a better understanding of what Prometheus is and what Prometheus is good at

Homepage
https://www.udemy.com/course/prometheus-grafana-bootcamp/

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Published 8/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 11.02 GB | Duration: 24h 19m


Complete Plant Design and Commissioning – Covering Power Systems, Electrical, Instrumentation, and Plant Automation.

What you'll learn
Learn how to design, test, and commission a complete industrial plant from scratch.
power system design – transformer sizing, cable sizing, breaker selection, and ETAP simulations.
Gain hands-on knowledge of PLC & HMI programming with real-world industrial logic.
Understand instrument selection, sizing, and calibration for pressure, flow, level, temperature and control valves.
Build confidence in VFDs, motors, control circuits, and industrial wiring practices.
Perform loop checking, interlock testing, FAT, SAT, and site commissioning like a professional engineer.
Acquire skills that make you job-ready for power plants, oil & gas, chemical, and automation industries.
Position yourself for high-paying, global career opportunities by mastering complete commissioning.

Requirements
Basic Electrical or Electronics Engineering Concepts
No Programming Experience Needed. You will learn everything you need to know !

Description
This course is a complete journey of Plant Design and Commissioning, specially structured around a Chemical Plant case study. From concept to commissioning, you will learn how to design, model, and implement every critical aspect of an industrial plant.We will start from the Power and Electrical systems, covering:Transformer sizing and designCable selection and sizing using Derating FactorsProtection systems and distribution designETAP modeling and load flow analysisThen we will move into Automation and Instrumentation, including:PLC selection and programming (ladder logic, function blocks, etc.)HMI designing for smooth plant operationInstrument selection, sizing, and installationControl valves, transmitters, and field instruments integrationYou will also gain hands-on knowledge of Drives and Motors, including:VFD selection and programmingMotor control circuits and interlockingComplete wiring design and layoutsBy the end of this course, you will be able to: Design a complete plant from scratch Perform power system studies and ETAP modeling Program and integrate PLCs & HMIs for full plant automation Select and size instruments, control valves, and drives Create wiring diagrams and commissioning plansThis is not just theory – it's a practical, industry-focused course that prepares you to design and commission any industrial plant with confidence

Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Process Layout
Lecture 3 Plant Process Layout
Lecture 4 Jobs to Do !
Section 2: IO / Equipment Count
Lecture 5 Motors Count
Lecture 6 Difference Between DOL / ASD / Soft Starter & VFD
Lecture 7 Application of Variable Frequency Drives (VFDs)
Lecture 8 Motor Drive Selection
Lecture 9 RTD Sensor (Begineer)
Lecture 10 Thermocouple Sensor (Begineer)
Lecture 11 Temperature Sensor Count
Lecture 12 Pressure Transmitter Count
Lecture 13 Level Transmitter Count
Lecture 14 Flowmeters Count
Lecture 15 Control Valves Count
Section 3: Plant Load Capacity & Power Factor Correction
Lecture 16 Topics to Cover
Lecture 17 Transformer Sizing & Selection
Lecture 18 Loading Factor & Diversity Factor
Lecture 19 Load Distribution
Lecture 20 Transformer Design Calculations
Lecture 21 Transformer Design Calculations - 2
Lecture 22 Calculation of FLAs
Lecture 23 Vector Group
Lecture 24 Selection of Vector Group
Lecture 25 Vector Group Guide
Lecture 26 Transformer Winding Material Selection
Lecture 27 Transformer Cooling Type Selection: ONAN/ONAF/OFAF/OFWF
Lecture 28 Recommended Transformer Model Based Upon the Selected Parameters.
Lecture 29 Electrical LV Panel Design Introduction
Lecture 30 LV Panel Busbar Designing and Sizing Calculations
Lecture 31 Monitoring & Control Device Selection & Installation
Lecture 32 Cable Selection & Sizing Theory
Lecture 33 Key De-Rating Factors
Lecture 34 Load Estimation for Cable Selection
Lecture 35 Main Cable Selection using Online Tool
Lecture 36 Utilities Section Cable Selection using Online Tool
Lecture 37 Main Plant Cable Selection using Online Tool
Lecture 38 System Designing On ETAP
Lecture 39 Cable Selection On ETAP
Lecture 40 Load Flow Analysis
Lecture 41 Short Circuit Analysis
Lecture 42 MCB, MCCB & ACBs (Begineer)
Lecture 43 Circuit Breaker Rated Capacity Calculation
Lecture 44 Circuit Breaker Addition on ETAP Model
Lecture 45 Voltage Regulation & PF Correction on ETAP
Section 4: PLC Selection
Lecture 46 Introduction
Lecture 47 Digital Vs. Analog IOs (Begineer)
Lecture 48 Analog Signals: 4-20mA Vs. 0-10V (Begineer)
Lecture 49 Numerical
Lecture 50 Motor IO Counts
Lecture 51 Instrumentation IO Counts
Lecture 52 Sensor Vs. Transmitter (Begineer)
Lecture 53 RTD Sensor Vs. Thermocouple Sensor (Begineer)
Lecture 54 Selection Between AI Card or RTD/TC Card
Lecture 55 Selection Between AI Card or RTD/TC Card - 02
Lecture 56 Total IOs Required To Be Connected On PLC
Lecture 57 PLC Brand Selection
Lecture 58 Basic Terminologies: Distributed IOs
Lecture 59 Basic Terminologies: Relay Vs Transistor Output
Lecture 60 Basic Terminologies: Retentive Vs. Non Retentive IOs (Begineer)
Lecture 61 PLC Selection Criteria
Lecture 62 Introduction to the Siemens S7 Controller Family
Lecture 63 S7-1500 PLC Systems
Lecture 64 Selection of PLC CPU and IO Cards
Lecture 65 Selection of PLC Power Supply
Lecture 66 Protective Switchgear Sizing for PLC
Lecture 67 Communication Methods of PLC
Section 5: Instrument Selection
Lecture 68 Introduction To Temperature Sensors
Lecture 69 RTD Sensor Type Selection
Lecture 70 RTD at High Pressure Points
Lecture 71 Sizing & Dimensions
Lecture 72 Thermocouple Sensor Selection
Lecture 73 Types of Thermocouple
Lecture 74 Temperature Transmitter Selection
Lecture 75 Loop Powered Vs. Self Powered Transmitters
Lecture 76 HART Communicators
Lecture 77 Types of Pressure
Lecture 78 Pressure Transmitter
Lecture 79 Types of Pressure Transmitters
Lecture 80 Diaphragm Material
Lecture 81 Pressure Transmitter Selection - 01
Lecture 82 Selection of PT - 01 Using Online Selection Tool
Lecture 83 Capillary Tubing
Lecture 84 Pressure Transmitter Selection - 02
Lecture 85 Pressure Transmitter Selection - 03
Lecture 86 Level Transmitter Selection - 01
Lecture 87 Level Transmitter Selection Using Online Applicator
Lecture 88 DP Transmitter with Level Measurement
Lecture 89 Ultra Sonic Level Transmitters
Lecture 90 Radar Level Transmitters
Lecture 91 DP Transmitter - Open Tank Calculation (Example)
Lecture 92 DP Transmitter - Open Tank With Zero Supression (Example)
Lecture 93 DP Transmitter - Dry Leg Calculation (Example)
Lecture 94 DP Transmitter Wet Leg Calculation (Example)
Lecture 95 Level Transmitter Selection - 02
Lecture 96 Level Transmitter Selection - 02 ( Using Online Applicator)
Lecture 97 Boiler Drum Level Measurement
Lecture 98 Boiler Drum Level - Working Theory
Lecture 99 DP Transmitter Selection - Tail Gas Boiler
Lecture 100 Calculation of LRV & URV For Tail Gas Boiler
Lecture 101 Final Product Tank Level
Lecture 102 Final Product Tank - Selection and Sizing
Lecture 103 Mass Flow Vs Turbulent Flow
Lecture 104 Laminar Vs Turbulent Flow
Lecture 105 Flowmeter Straight Run Requirements
Lecture 106 Coriolis Mass Flowmeter Working Principle
Lecture 107 Liquid Ammonia Flow - Flowmeter Selection Using Online Applicator
Lecture 108 DP Transmitter for Flow Measurement
Lecture 109 Reynolds Number
Lecture 110 Orifice Sizing Parameters
Lecture 111 Types of Orifice
Lecture 112 Venta Contracta
Lecture 113 Beta Ratio
Lecture 114 Veep Hole
Lecture 115 Impulse Line Positioning
Lecture 116 Square Root Extractor
Lecture 117 Example Numerical
Lecture 118 Vapor Ammonia Flow to Converter
Lecture 119 Vapor Ammonia Flow to Converter 2
Lecture 120 Vapor Ammonia Flow to Converter 3
Lecture 121 Vapor Ammonia Flow to Converter 4
Lecture 122 Condensate Water Flow to Economizer
Lecture 123 Condensate Water Flow to Economizer 2
Lecture 124 Condensate Water Flow to Economizer 3
Lecture 125 Finalizing All The Flows
Section 6: Motor Drive and Control Circuit
Lecture 126 Introduction
Lecture 127 Uncompensated Thermal Magnetic Tripping Units
Lecture 128 Compensated Thermal Magnetic Tripping Units
Lecture 129 More Terminologies Regarding Circuit Breakers
Lecture 130 Concept of Inrush Current (Begineer)
Lecture 131 Circuit Breaker Tripping Curves
Lecture 132 Basic Control Theory (Beginner)
Lecture 133 Basic Control Theory-II (Beginner)
Lecture 134 Basic Control Theory-III (Beginner)
Lecture 135 Basic Control Theory-IV (Beginner)
Lecture 136 Basic Control Theory-V (Beginner)
Lecture 137 DOL Circuit Theory
Lecture 138 DOL Circuit Components
Lecture 139 DOL Circuit Wiring Diagram
Lecture 140 DOL Circuit - Circuit Breaker Sizing
Lecture 141 DOL Circuit - Contactor & EOCR Sizing
Lecture 142 DOL Circuit - Overview
Lecture 143 Star Delta Starter Theory
Lecture 144 Star Delta Circuit Components
Lecture 145 Star Delta Circuit Diagram
Lecture 146 ASD Circuit - Circuit Breaker Sizing
Lecture 147 ASD Circuit - Contactor Sizing
Lecture 148 ASD Circuit - EOCR Sizing
Lecture 149 ASD Circuit - Summary
Lecture 150 Cable Selection for Motors
Lecture 151 Cable Selection for Motors - 2
Section 7: Variable Frequency Drives (VFDs)
Lecture 152 Introduction
Lecture 153 What is a VFD?
Lecture 154 Why VFDs are used?
Lecture 155 VFD Applications
Lecture 156 Theory and Working Principle
Lecture 157 Detailed Working Of VFD
Lecture 158 Drive Selection using Online Selection Tool
Lecture 159 VFD Hardware
Lecture 160 Basic Parameter Settings
Lecture 161 IO Parameter Settings
Section 8: Control Valves
Lecture 162 Introduction to Control Valves
Lecture 163 Types of Electric Control Valves
Lecture 164 Electro Pneumatic Control Valves
Lecture 165 Electro Pneumatic Positioners
Section 9: PLC Programming & HMI Designing
Lecture 166 Introduction to the Software
Lecture 167 Downloading Link
Lecture 168 Creating a New Project & Adding a PLC
Lecture 169 Settings of PLC Controller
Lecture 170 Types of Programming Language
Lecture 171 Physical & Memory Address
Lecture 172 Data Types - Bits, Words, Double Words
Lecture 173 Contacts and Coils
Lecture 174 Holding Circuit
Lecture 175 Function Blocks
Lecture 176 Timers - TP Timer
Lecture 177 Timers - TON Timer
Lecture 178 Timers - TOFF Timer
Lecture 179 Timers - TONR Timer
Lecture 180 Counters
Lecture 181 Set Reset Functions
Lecture 182 Comparators - Equals to
Lecture 183 Comparators - Less than or Equals to
Lecture 184 Connection Establishment between PLC and HMI
Lecture 185 Testing the Code through the HMI
Lecture 186 PLC Analog Programming Concepts
Lecture 187 PLC Analog Programming Concepts 2
Lecture 188 Setting the Timers through the HMI
Lecture 189 Programming the Nitric Acid Plant
Lecture 190 Adding the HMI
Lecture 191 Configuration Setting of IO Cards
Lecture 192 Tagging of PLC IOs
Lecture 193 Auto/Manual Switching Buttons
Lecture 194 Motor Control Program
Lecture 195 Motor Feedback Program
Lecture 196 Motor Program Simulation
Lecture 197 Motor Program Review
Lecture 198 Control Valve Program
Lecture 199 Auto Sequence of the Plant - 1
Lecture 200 Auto Sequence of the Plant - 2
Lecture 201 Auto Sequence of the Plant - 3
Lecture 202 Auto Sequence of the Plant - 4
Lecture 203 Auto Sequence of the Plant - 5
Lecture 204 Auto Sequence of the Plant - 6
Lecture 205 Auto Sequence of the Plant - 7
Lecture 206 Simulation of the Auto Sequence 1
Lecture 207 Simulation of the Auto Sequence 2
Lecture 208 Simulation of the Auto Sequence 3
Lecture 209 Programming the Stop Sequence
Lecture 210 Simulation of Stop Sequence
Lecture 211 Analog Input Scaling Using Norm_x & Scale_x
Lecture 212 Analog Alarms
Lecture 213 Analog Alarms Simulation
Lecture 214 Temperature Sensor - RTD Programming
Lecture 215 Temperature Sensor - RTD & TC Programming
Lecture 216 Alarms Set/Reset & Plant Tripping
Lecture 217 Motor Running Hours Calculation Program
Lecture 218 Running Hours Simulation
Lecture 219 Motor Running Hours Using Function
Lecture 220 Simulating the Final Running Hours Program
Lecture 221 Simulating the Final Running Hours Program 2
Lecture 222 Analog Output Programming - VFD and Positioners
Lecture 223 HMI - Main Screen (Homepage) Designing
Lecture 224 Designing the Motor & CVs Manually Start/Stop Pop-Up Screens
Lecture 225 Adding the Numerical Output of Transmitters on the HMI
Lecture 226 Adding the LRV and URV of the Transmitters through the HMI
Lecture 227 Designing the Alarm Setpoint Page for Analog Signals
Lecture 228 Adding the Timers of Auto Sequence on the HMI
Lecture 229 Designing the Alarm Page 1
Lecture 230 Designing the Alarm Page 2
Lecture 231 Designing the Alarm Page 3
Lecture 232 Designing the Alarm Page 4
Lecture 233 Designing the Alarm Page 5
Lecture 234 Designing the Alarm Page 6
Lecture 235 Running the Plant Through the PLC and HMI
Lecture 236 Running the Plant Through the PLC and HMI - 2
Lecture 237 Running the Plant Through the PLC and HMI - 3
Lecture 238 Running the Plant Through PLC and HMI - 4
Lecture 239 Running the Plant Through the PLC and HMI - 5
Lecture 240 Running the Plant Through the PLC and HMI - 6
Lecture 241 Running the Plant Through the PLC and HMI - 7
Section 10: PLC Wiring & Hardware
Lecture 242 Line & Neutral Concept (Basics)
Lecture 243 Sinking Vs Sourcing Concept
Lecture 244 Sinking Vs Sourcing Concept - II
Lecture 245 Digital Input Wiring Basics (Beginner)
Lecture 246 Digital Output Wiring Basics - I (Beginner)
Lecture 247 Digital Output Wiring Basic - II (Beginner)
Lecture 248 Siemens PLC - Digital Input Wiring
Lecture 249 Siemens PLC - Digital Input Wiring - Contactors (1st Way)
Lecture 250 Siemens PLC - Digital Input Wiring - Contactors (2nd Way)
Lecture 251 Siemens PLC - Digital Input Wiring - Summary
Lecture 252 Siemens PLC - Digital Output Card
Lecture 253 Siemens PLC - Digital Output Wiring - For 24VDC Field Devices
Lecture 254 Siemens PLC - Digital Output Wiring - For 220VAC Field Devices
Lecture 255 Siemens PLC - Digital Output Wiring - Summary
Lecture 256 Siemens PLC - Digital Control Wiring Summary
Lecture 257 VFD Digital Input - Control Wiring
Lecture 258 VFD Digital Input - Control Wiring Using External Relay
Lecture 259 VFD Digital Output - Control Wiring
Lecture 260 VFD Digital Output - Control Wiring 2
Lecture 261 Control Valves - Wiring & Connections
Lecture 262 PLC Analog Input - Loop Powered Transmitter Connections
Lecture 263 PLC Analog Input - Loop Powered Transmitter Connections 2
Lecture 264 PLC Analog Input - VFD (Amperes & RPM) Monitoring Connections
Lecture 265 PLC Analog Input Wiring Summary
Lecture 266 PLC Analog Input - RTD Wiring and Connections
Lecture 267 PLC Analog Output Wiring
Electrical Engineers,Electronics Engineers,Mechatronics Engineers,Undergraduate Students,Electrical and Electronics Technicians,Automation Engineers,Instrumentation Engineers

Homepage
https://www.udemy.com/course/complete-plant-design-with-plc-hmi-and-field-devices/

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Published 8/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.15 GB | Duration: 4h 16m


Ethical Reverse Engineering, Memory Exploitation & Game Protection Bypass

What you'll learn
Understand the principles of Game Hacking from a real offensive security perspective.
Analyze how video games store and manipulate data in memory.
Use Cheat Engine to find and modify in-game values like health, ammo, and score.
Follow multi-level pointer chains to make persistent memory hacks.
Create your own memory trainers and automation scripts using Lua and Python.
Reverse-engineer game binaries with IDA Free and Ghidra.
Read and understand x86 assembly instructions as they appear in compiled game code.
Perform static and dynamic analysis on game executables to identify useful functions.
Patch binary code to alter game behavior, such as enabling God Mode or disabling cooldowns.
Debug running game processes using x64dbg, including setting breakpoints and inspecting memory.
Understand the differences between internal and external cheats, and when to use each.
Write and inject custom DLLs into games to modify behavior at runtime.
Hook game functions and create features like ESPs, aimbots, and auto-heal systems.
Build in-game overlays or user interface elements for real-time information.
Capture and analyze game network traffic using Wireshark, Fiddler, and Charles Proxy.
Identify and exploit weaknesses in client-server communication such as packet replay or spoofing.
Execute basic man-in-the-middle attacks in vulnerable or test environments.
Understand how modern anti-cheat systems like VAC, Easy Anti-Cheat, and BattlEye work.
Recognize and bypass anti-debugging and anti-tampering techniques used by games.
Modify open-source cheat tools to evade detection in safe, controlled environments.
Reverse-engineer games using dnSpy or Il2CppDumper.
Explore how Unreal Engine games manage memory and use global object arrays.
Scan memory for engine-specific patterns to locate player and object structures.
Understand mobile game hacking basics using tools like Frida and GameGuardian.
Unpack and analyze obfuscated or protected binaries with tools like Detect It Easy and Scylla.
Edit and reconstruct .NET assemblies and native binaries that have been packed or encrypted.
Build a complete offensive security portfolio with practical, game-focused projects.
Document your work in a way that recruiters and companies can easily understand and evaluate.

Requirements
No prior game hacking experience is required. I explain everything step by step from scratch.
Curiosity and patience, some parts of game hacking can be trial-and-error and require experimentation.

Description
Have you ever wondered how game cheats actually work?Do you want to understand how attackers exploit games and how to stop them?This course will teach you exactly that.This course is a hands-on, project-based course that teaches you the offensive side of video game security.You will learn memory manipulation, reverse engineering, code injection, and network tampering.Whether your goal is to become a game security expert, work in anti-cheat development, or simply understand how real cheats are made, this course will guide you step by step through the real techniques used in the field.You will begin by learning how to scan game memory, locate variables like health or ammo, and build your own trainers.Then you will move into more advanced topics like analyzing game binaries, writing and injecting DLLs, creating internal cheats, developing ESP and aimbot systems, analyzing network packets, and bypassing anti-debugging techniques.All exercises are performed in ethical and legal environments, using offline or self-hosted games created specifically for research and learning purposes.The course uses industry-standard tools including Cheat Engine, Ghidra, IDA Free, x64dbg, dnSpy, Frida, and Fiddler.Each major topic includes a practical project to help you build real experience and a strong personal portfolio.Who is this course for?This course is ideal for:Cybersecurity studentsReverse engineering enthusiastsProgrammers interested in low-level systemsGame developers who want to protect their own gamesAnyone curious about how modern cheats work from the insideNo previous game hacking experience is required.Everything is explained clearly, from scratch, with progressive difficulty and real examples.What makes this course different?Clear explanations of every technique, starting from the very basicsFocus on security and real-world understanding, not just "how to cheat"Practical projects with visible, working resultsA full toolkit of knowledge in memory hacking, reversing, network analysis, and anti-cheat bypassGuidance on how to document and present your skills to recruiters and employersIf you want to master offensive security in games, build powerful hands-on skills, and create a portfolio that sets you apart, this course is for you.

Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 About me
Section 2: Memory and Cheat Engine
Lecture 3 What is Cheat Engine and How to Install It
Lecture 4 Understanding Memory
Lecture 5 Minigame 1
Lecture 6 Data Types
Lecture 7 Minigame 2
Lecture 8 Memory Alignment
Lecture 9 Minigame 3
Lecture 10 Assembly
Lecture 11 Minigame 4
Lecture 12 Pointers
Lecture 13 Brackets
Lecture 14 Minigame 6
Lecture 15 Code Injection
Lecture 16 Minigame 7
Lecture 17 Offsets
Lecture 18 Minigame 8
Lecture 19 Minigame 9
Lecture 20 Battle For Wesnoth
Lecture 21 Pointer scans
Lecture 22 Match data between two tables
Lecture 23 Ethical cheating
Lecture 24 Cheat Engine Challenge
Lecture 25 Client-Server Architecture
Section 3: Python Crash Sourse
Lecture 26 Should you take this lessons?
Lecture 27 Visual Studio Code
Lecture 28 Install Python
Lecture 29 Basic usage
Lecture 30 Data types
Lecture 31 Arithmetic Operators
Lecture 32 Variables
Section 4: Automating boring tasks in videogames
Lecture 33 Create a VENV in Visual Studio Code
Lecture 34 Why Cookie Clicker
Lecture 35 Pyautogui
Lecture 36 Install Pyautogui in your VENV
Lecture 37 Mapping pixels
Lecture 38 Detect coordenates
Lecture 39 Clicker Function
Lecture 40 Cookie Clicking!
Lecture 41 How to stop Clicking and Counting Clicks
Lecture 42 Clicking Sequence
Lecture 43 Computer Vision
Lecture 44 Match templates
Lecture 45 Detect a list of buttons
Lecture 46 Click all the template matches
Lecture 47 Brightness check
Lecture 48 Final Challenge!

Cybersecurity students and professionals who want to specialize in offensive game security.,Beginner and intermediate programmers interested in understanding how games can be hacked and how to defend them.,Capture The Flag (CTF) players looking to expand into game-specific exploitation.,Ethical hackers or bug bounty hunters curious about reverse engineering and memory manipulation.,Developers who want to understand how cheats work in order to design better anti-cheat systems.,Game developers interested in securing their own games from hacking attempts.,Anyone passionate about understanding the internals of games from a low-level, offensive security perspective.

Homepage
https://www.udemy.com/course/offensive-game-hacking-from-basics-to-advanced-security/

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