Napisane przez: OneDDL - 20-01-2026, 00:42 - Forum: Propozycje
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Free DownloadDc Circuit Analysis (complete)
Last updated 8/2022
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 25h 24m | Size: 8.73 GB
A complete circuit analysis on DC circuits.
What you'll learn
Students can solve any DC circuit after completing this circuit.
Students also gain an understanding of how electric circuit works in general with supporting labs.
This course also includes practical information that are required in real life applications.
A great stepping stone for the electrical engineering career. Requirements
Basic Calculus (Basic Math) Description
This course teaches you the fundamental steps of Circuit Analysis.After this course, you will be able to solve any DC circuit you encounter. You will also learn basic circuit elements with their basic properties. Additionally, you lean basic laws with lots of theorems that will help you to solve problems. This is the most complete course on Udemy about DC CIRCUIT ANALYSIS. We are here to help you. In the first unit we will begin with basic concepts. After that we will see some laws that allows us to analyze our circuits. Plus, these laws will be applicable to different kinds of analysis, too.After basic laws, we will see Circuit theorems which are really helpful to minimize and simplify our circuits. After learning lots of analysis methods, theorems and laws, we will learn a active element called operational amplifiers. Then we will talk about capacitors and inductors in general as a supplimentary material for next units which are first-order and second-order circuit. A rough overwiev of the curriculum;1-) Basic Concepts-Si Units-Basic Concepts-Circuit Elements2-) Basic Laws-Ohm's Law-Nodes,Branches and Loops.-KCL, KVL-Series and Parallel Connection of Resistors.3-) Methods of Analysis-Nodal Analysis-Nodal Analysis with Voltage Sources-Mesh Analysis-Mesh Analysis with Current Sources4-) Circuit Theorems-Linearity-Superposition-Source Transformation-Thevenin's Theorem-Norton's Theorem-Max Power Transfer5-) Operational Amplifiers-Non-Ideal Op Amps-Ideal Op Amps-Inverting Op Amps-Non-Inverting Op Amps-Summing Op Amps-Difference Op Amps-Cascaded Op Amps6-) Capacitors and Inductors-Capacitors and General Properties of Them-Connection of Capacitors-Inductors and General Properties of Them-Connection of Inductors7-) First-Order Circuits-The Source Free Rc Circuits-The Source Free Rl Circuits-Singularity Functions-The Step Response of An Rc Circuit-The Step Response of An Rl Circuit8-)Second-Order Circuits-Finding the Initial Values-The Source Free Series Rlc Circuits-The Source Free Parallel Rlc Circuits-The Step Response of a Series Rlc Circuit-The Step Response of a Parallel Rlc CircuitYou can learn more about the curriculum in the introduction video and also you can ask your questions by mailing or messaging.Hope you enjoy your journey with us.Welcome to AFTERCLAP. Who this course is for
People who contemplate a career in electric engineering or related engineering fields such as power and energy systems, systems and control, signal processing and telecommunication. In a clearer way, this course is an excellent opportunity for those who want to learn about basic DC circuits. Homepage
Napisane przez: OneDDL - 20-01-2026, 00:41 - Forum: Propozycje
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Free DownloadDatabricks Certified Generative AI Engineer Associate
Published 1/2026
Created by Kuljot Singh Bakshi
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 40 Lectures ( 7h 12m ) | Size: 5.84 GB
Master RAG, Vector Search, Embeddings, MLflow, and GenAI workflows to pass the Databricks GenAI Engineer exam What you'll learn
✓ Understand the Databricks Generative AI architecture, including foundation models, embeddings, vector search, and Mosaic AI tooling.
✓ Build and deploy Retrieval-Augmented Generation (RAG) applications using Databricks, Vector Search, and MLflow.
✓ Apply prompt engineering techniques to improve LLM accuracy, grounding, and reliability in Databricks workloads.
✓ Use Databricks Vector Search and embeddings effectively for semantic search, document retrieval, and AI applications.
✓ Evaluate, monitor, and version GenAI models using MLflow, experiments, and production best practices.
✓ Implement responsible and secure GenAI solutions following Databricks governance, access control, and cost-aware design.
✓ Prepare confidently for the Databricks Certified GenAI Engineer Associate exam with exam-focused explanations and real-world examples. Requirements
● Basic understanding of Python programming (loops, functions, and working with notebooks).
● A Databricks Managed version by a Cloud Service Provider (CSP)
● A Databricks account or workspace access (Community Edition or enterprise) for hands-on practice.
● Interest in Generative AI and LLM-based applications - no prior GenAI experience is required. Description
This course is a complete, exam-aligned guide to the Databricks Certified Generative AI Engineer Associate certification, designed for professionals who want to build, deploy, and manage Generative AI applications on Databricks with confidence.
Generative AI on Databricks goes far beyond prompt writing. To succeed in real-world projects-and in the certification exam-you must understand how foundation models, embeddings, vector search, RAG pipelines, MLflow, and governance work together. This course focuses exactly on those skills.
You will learn how to design and implement Retrieval-Augmented Generation (RAG) systems, use Databricks Vector Search for semantic retrieval, manage embeddings effectively, and integrate LLMs into scalable data and analytics workflows. Every concept is explained with a clear mental model, followed by hands-on demonstrations using Databricks-native tools.
The course is structured to closely align with the official Databricks exam blueprint, helping you understand not just what to do, but why it works-an essential skill for both certification success and real-world engineering.
In this course, you will
• Understand Databricks' Generative AI architecture and ecosystem
• Build end-to-end RAG applications using embeddings and Vector Search
• Apply prompt engineering techniques for reliable and grounded outputs
• Track, evaluate, and manage GenAI models using MLflow
• Follow best practices for governance, security, and cost awareness
• Prepare confidently for the Databricks Certified GenAI Engineer Associate exam
Whether you are preparing for certification or looking to upskill in production-grade Generative AI on Databricks, this course provides a structured, practical, and exam-focused learning path. Who this course is for
■ Data engineers, analytics engineers, and machine learning practitioners who want to build GenAI applications on Databricks.
■ Professionals preparing for the Databricks Certified Generative AI Engineer Associate exam and looking for a structured, exam-aligned course.
■ Data scientists and ML engineers who want hands-on experience with RAG, embeddings, and Vector Search using Databricks.
■ Software engineers and platform engineers interested in integrating LLMs into data and analytics workflows.
■ Databricks users and cloud data professionals looking to upskill in Generative AI using Databricks-native tools. Homepage
Napisane przez: OneDDL - 20-01-2026, 00:40 - Forum: Propozycje
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Free DownloadData Analyst Bootcamp - Excel, SQL & Python with Projects
Published 1/2026
Created by Shubham Pareek
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 118 Lectures ( 30h 40m ) | Size: 25.2 GB
Learn data analysis from scratch using Excel dashboards, SQL queries, Python automation & real-world projects (2026) What you'll learn
✓ Analyze data using Microsoft Excel with formulas, functions, charts, pivot tables, dashboards, and projects
✓ Clean, organize, and validate real-world data using Excel best practices
✓ Create Excel dashboards and reports used in business and analyst roles
✓ Write SQL queries to retrieve, filter, group, and analyze data from databases
✓ Use SQL functions and JOINs to work with multiple tables
✓ Learn Python fundamentals required for data analysis
✓ Work with CSV and JSON files using Python
✓ Perform data analysis using Python Pandas
✓ Visualize data using Python charts and plots
✓ Understand when to use Excel, SQL, or Python in real data analyst workflows
✓ Apply skills through practical projects and real datasets
✓ Build a strong foundation for entry-level data analyst roles Requirements
● No prior programming or data analysis experience required
● Basic computer usage knowledge is enough
● Willingness to learn and practice step by step Description
Become a Data Analyst with Practical Skills - Not Just Theory
This Data Analyst Bootcamp is designed for beginners who want a clear, structured, and practical path to learning data analysis using Excel, SQL, and Python.
Instead of learning tools separately, this course shows you how data analysts actually work in real companies - starting with Excel, moving to SQL, and then using Python for automation and advanced analysis.
What You Will Learn
• Use Excel for data cleaning, analysis, dashboards, and reporting
• Write SQL queries to retrieve and analyze data from databases
• Use Python for data handling, automation, and analysis with Pandas
• Work on practical projects and real datasets
• Understand how Excel, SQL, and Python work together in real analyst roles
• Build a strong foundation for Data Analyst jobs or internships
How This Course Is Structured
This course follows a beginner-friendly, job-oriented sequence
• Excel for Data Analysis - basics to advanced dashboards, projects, and AI-assisted Excel
• SQL for Data Analysis - querying, filtering, functions, and joins
• Python Foundations & Projects - complete Python basics with projects
• Python for Data Analysis - Pandas, data visualization, and analysis workflows
• Additional Skills - automation, extra Excel topics, and practice datasets
To give you the best learning experience, technical lessons are created with the help of experienced professionals, while the overall learning path, guidance, and support are provided directly by the instructor. Who This Course Is For
• Beginners who want to start a career as a Data Analyst
• Students and fresh graduates from any background
• Working professionals looking to switch to data roles
• Excel users who want to upgrade to SQL and Python
• Anyone who prefers clear explanations and practical learning
No prior programming or data experience is required.
Who This Course Is NOT For
• Advanced data scientists
• People looking only for deep machine learning or AI theory
• Database administrators or backend developers
This course focuses on practical data analysis foundations, not advanced specialization.
Why This Course Is Different
• Clear learning path instead of scattered topics
• Strong focus on Excel dashboards and projects
• Practical SQL and Python usage (not certification theory)
• Beginner-friendly explanations
• Designed for non-native English speakers
Start Learning with Confidence
If you want a structured, practical, and beginner-friendly Data Analyst course that focuses on real skills, this bootcamp is for you.
Enroll now and start your Data Analyst journey step by step. Who this course is for
■ Beginners who want to start a career in Data Analysis
■ Students and fresh graduates from any background
■ Working professionals planning to switch to Data Analyst roles
■ Excel users who want to upgrade their skills with SQL and Python
■ Non-technical learners who prefer clear and step-by-step explanations
■ Anyone preparing for entry-level data analyst jobs or internships Homepage
Napisane przez: OneDDL - 20-01-2026, 00:38 - Forum: Propozycje
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Free DownloadData Analysis with Polars and Python
Published 1/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 22h 11m | Size: 14 GB
Master data analysis with the powerful Polars library! Up-to-date for 2026. All datasets included --- beginners welcome!
What you'll learn
Master data manipulation operations in Polars including sorting, filtering, grouping, pivoting, joining and more!
Understand Polar's functional, expression-based syntax for building up complex chains of logic
Use LazyFrames to create complex query plans that Polars can optimize for efficiency
Work with a variety of data including text, temporal, numeric, nested structures, and more Requirements
Basic/intermediate experience with a spreadsheet software like Microsoft Excel/Google Sheets (common functions, vlookups, countif, pivot tables etc)
Basic experience with the Python programming language (we'll cover the basics if you're brand new!)
Strong knowledge of data types (strings, integers, floating points, booleans) etc Description
Welcome to the most comprehensive Polars course on Udemy! Data Analysis with Polars and Python offers 22+ hours of in-depth video tutorials on the powerful Polars data analysis library. The course also includes a wide collection of datasets, quizzes, and coding challenges to aid your learning.Why Polars?The core of Polars is written in Rust, one of the fastest programming languages in the world. At the same time, the library enables us to write our code in Python, the most popular language in the world. We gain the best of both worlds -- the speed and efficiency of Rust and the simplicity and elegance of Python.Who is this Course For?The course is designed for learners of all skill levels, from experienced data analysts to students who have never programmed before. Lessons include:installing Python and Polars on your computerunderstanding the core mechanics of Pythonworking with the Jupyter Lab coding environmentWhether you've spent time in a spreadsheet software like Microsoft Excel/Google Sheets or another data analysis library like Pandas, Polars can help take your data analysis skills to the next level.What Topics Will We Cover?We'll cover the core objects of Polars including:SeriesDataFramesLazyFramesMost of our work will focus on the DataFrame, a 2-dimensional table of rows and columns. We'll cover data manipulation operations includingortingfilteringgroupingaggregatingde-duplicatingpivotingdeletingjoiningreplacingworking with text dataworking with temporal/datetime dataWe'll also cover some of Polar's unique column data types including:listsarraysstructsand more!Data Analysis with Polars and PythonI'm excited to share everything I've learned about Polars, a powerful library that is quickly emerging as a dominant competitor in Python's data science ecosystem. I look forward to seeing you in the course! Who this course is for
Data analysts and business analysts
Excel/Google Sheets users who looking to learn a more powerful software for data analysis
Developers familiar with Pandas who want to explore the rising entrant in the Python data science ecosystem Homepage
Napisane przez: OneDDL - 20-01-2026, 00:37 - Forum: Propozycje
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Free DownloadCourse Cloudera Data Engineer Certification CDP-DE 2026&Book
Published 1/2026
Created by HadoopExam Learning Resources
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 41 Lectures ( 5h 4m ) | Size: 1.66 GB
Exam style Q&A covering Spark on Kubernetes, Apache Airflow, Iceberg, Performance Tuning, Pipelines & Product + eBook What you'll learn
✓ Design reliable data models on Cloudera Data Platform (CDP) using Apache Iceberg with ACID, time-travel, and schema evolution.
✓ Build and optimize Apache Spark pipelines (DataFrame/Spark SQL) on Kubernetes, with correct executor sizing and shuffle strategy.
✓ Implement incremental ETL/CDC patterns and idempotent upserts using Spark MERGE, checkpoints, and watermarking.
✓ Tune Spark jobs for performance: fix skewed joins, enable AQE, prune partitions/columns, and reduce small files via compaction.
✓ Choose effective partitioning, bucketing, and file-size targets for large fact tables to balance cost and speed.
✓ Orchestrate pipelines with Apache Airflow: production-grade DAG design, retries/SLAs, alerts, and pre/post-load data quality checks.
✓ Secure and operate pipelines on CDP with least-privilege access, secrets management, monitoring dashboards, and auditability.
✓ Deploy and promote jobs via the CDP Data Engineering Service (DES) CLI/API, including blue/green and canary releases.
✓ Diagnose failures quickly from Spark UI and Airflow logs; run safe rollbacks and targeted backfills.
✓ Apply real exam patterns for the CDP Data Engineer certification: topic weightings, common traps, and time-saving strategies.
✓ Map business queries to efficient table formats (Parquet vs Iceberg) and choose the right catalog/integration approach.
✓ Measure success with concrete KPIs: wall-clock time, shuffle MB, task p95, data freshness, and DQ pass rates. Requirements
● No strict prerequisites - this course is interview-style and exam-focused. You can join as a motivated beginner.
● Basic knowledge of SQL (SELECT, JOIN, GROUP BY) and data warehousing terms. (optional)
● Familiarity with Apache Spark concepts (DataFrames, transformations vs. actions). (optional)
● High-level understanding of Apache Airflow (DAGs, retries, alerts) and CI/CD ideas. (optional)
● Comfort reading technical artifacts like Spark UI or Airflow logs. (optional) Description
Note: This course contains the use of artificial intelligence Voice (AI Voice).
eBook (PDF ) : Included with this course is the 'Study guide for Exam Cloudera Data Engineer Certification (CDP-DE) 2026 a meticulously structured 250-page resource. This is not just a summary; it is a foundational pillar designed to move you from basic to advanced concepts. It emphasizes the 'What', 'How, 'Why' and more detailed steps behind each topic of the certification exam with professional confidence.
Key Course Features & Important Notes
• Fast Track Certification preparation: This course is designed for fast track certification preparation and clear exam in a month or less time.
• Watch Twice: It is highly recommended please go through at least twice with this course before your exam include each page of eBook.
• Fundamental Concepts Masterclass (No Hands-on Labs): This is a lecture-based training focused on conceptual mastery. Please note: This course does NOT include hands-on labs, sandbox environments, or practical exercises. It is designed for those who want to learn by watching and listening.
• Direct Path to Certification: The primary goal of this course is to equip you with the specific knowledge required to clear your certification exam with confidence.
• Straight-to-the-Brain Concepts: We strip away the "fluff" and focus on the core logic and deep architecture of the technology. Each lesson is engineered to be intuitive and easy to digest.
• Accelerated "Fast Track" Curriculum: This is a high-density program designed to cover the entire official syllabus in the shortest time possible without sacrificing depth.
• Multi-Sensory Learning Design: Featuring crystal-clear audio, high-definition visuals, and summarized text, the course is structured to keep you focused and improve information retention.
• Fundamentals & Beyond: We go beyond basic definitions to ensure you understand the "Why" behind the "How," preparing you for both the exam and technical interviews.
• Efficiency First: Ideal for busy professionals who need a comprehensive syllabus overview and "high-yield" exam tips without spending weeks on a single topic.
Are you preparing for the Cloudera Data Engineer Certification (CDP-DE) or aiming to succeed in data engineering job interviews?
This course is designed to help you master Cloudera Data Platform (CDP) using a unique interview-style learning approach. Instead of lengthy labs or heavy coding exercises, you'll learn through
• Scenario-based explanations
• Realistic interview-style Q&A
• Exam-focused concept breakdowns
This mirrors how certification exams and hiring managers actually test your understanding.
Why the Cloudera Data Engineer Certification Matters
The Cloudera CDP Data Engineer certification is one of the most recognized credentials for professionals working with big data, Spark, and cloud-based analytics platforms.
The exam evaluates your ability to
• Design and optimize data pipelines
• Work with Spark, Airflow, and Iceberg
• Tune performance at scale
• Deploy and manage workloads on Cloudera CDP
Exam Format Overview
• 50 questions
• 90 minutes
• Passing score: 55%
Success requires strong conceptual clarity and the ability to apply knowledge under time pressure.
What You'll Achieve by the End of This Course
By completing this course, you will be able to
• Confidently explain CDP concepts in interviews
• Tackle certification questions with precision
• Understand real-world data engineering trade-offs
• Apply best practices in enterprise CDP environments
Whether you are new to Cloudera or an experienced data engineer validating your expertise, this course provides a clear, structured, and exam-oriented path to success.
Start Your Certification Journey Today
Enroll now and take a decisive step toward becoming a Cloudera Certified Data Engineer-and standing out in the competitive world of big data and cloud analytics. Who this course is for
■ Data Engineers & Big Data Developers who work (or plan to work) on the Cloudera Data Platform (CDP) and want a fast, interview-style path to mastery with Apache Spark, Airflow, and Iceberg.
■ Spark Developers / Analytics Engineers moving from ad-hoc jobs to production-grade ETL/CDC, looking to sharpen data modeling, partitioning, and performance tuning on Kubernetes.
■ Platform / DataOps / MLOps Engineers responsible for deploying and operating data pipelines on CDP, including DES CLI/API, observability, SLAs, and least-privilege security.
■ Cloud Data Engineers (AWS/Azure/GCP) who use Spark today and want to understand CDP concepts and how they map to real exam and interview expectations.
■ Certification Candidates preparing for the Cloudera Data Engineer exam who prefer scenario-based Q&A over hands-on labs and want clarity on topic weightings, common traps, and time-saving strategies.
■ Experienced SQL/ETL Professionals transitioning from on-prem or Hadoop/Hive to modern table formats (Iceberg) and orchestrators (Airflow) without needing a full lab environment.
■ Team Leads / Hiring Managers seeking a structured framework to evaluate candidates' readiness across Spark fundamentals, Airflow orchestration, performance tuning, and CDP deployment. Homepage
Napisane przez: OneDDL - 20-01-2026, 00:36 - Forum: Propozycje
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Free DownloadComplete Ethical Hacking Bundle 5 Courses in 1
Published 1/2026
Created by Juravlea Nicolae
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 100 Lectures ( 4h 20m ) | Size: 3.1 GB
Learn and understand hacking and cyber threats with one complete course bundle. What you'll learn
✓ Master Essential Linux Commands.
✓ Learn Disk Partitioning and Encryption.
✓ Write Basic Shell Scripts.
✓ Learn How to Exploit and Secure Websites.
✓ Understand XSS and CSRF vulnerabilities.
✓ Perform SQL Injection Attacks.
✓ How to Exploit Browsers with BeEF Framework.
✓ Perform a Denial of Service Attack and Find Hidden Wireless Networks.
✓ Crack WiFi Passwords with WPA2 encryption.
✓ Create Evil Twin Access Points.
✓ Create a Fake Captive Portal and use it to Capture Login Information.
✓ Detect and Secure Your System from Evil Twin Attacks.
✓ Create Evil Files that look and function like normal files.
✓ Launch Phishing Attacks.
✓ Perform Attacks Outside the Local Network.
✓ Learn Different Techniques to Protect Yourself. Requirements
● No prior experience is required. Everything is explained step by step.
● A basic understanding of how to use a computer.
● An interest in cybersecurity and ethical hacking. Description
The Complete Ethical Bundle brings together five full courses into one complete learning path designed to help you understand ethical hacking and cybersecurity step by step.
Instead of learning random tools without context, this bundle gives you a clear structure, starting with the basics and gradually moving into more advanced attacks.
No special skills are required as the course covers everything from the very basics.
What you'll learn
Fedora Linux from Scratch
Build a strong foundation in Linux and learn how to work with the command line.
• Master essential Linux commands.
• Work with networking tools and file permissions.
• Learn Disk Partitioning and Encryption.
• Automate Tasks with Cron Jobs.
• Write Basic shell scripts.
• And more.
Web Hacking for Beginners
Understand how websites are attacked and how common web vulnerabilities are exploited.
• Learn how the Web Works.
• Perform SQL injection attacks.
• Test WordPress security with WPScan.
• Understand XSS and CSRF vulnerabilities.
• Use BeEF for browser-based attacks.
• Learn how Phishing Attacks Work.
WiFi Hacking for Beginners
Learn how wireless networks operate and where their weaknesses come from.
• Understand how WiFi networks work.
• Perform a Denial of Service Attack and Find Hidden Wireless Networks.
• Crack Wireless Passwords with WPA2 Encryption.
• Exploit WPS feature to Crack WPA/WPA2 without a wordlist.
• Use various tools like: Aircrack-ng, Wifite, Crunch, Cowpatty, Pyrit.
• How to Create an Evil Twin Access Point.
WiFi Hacking Using Evil Twin Attacks
Go deeper into wireless attacks using fake access points and captive portals.
• Create Evil Twin access points.
• Build and Customize captive portals.
• Capture Login Credentials.
• Sniff and Inject Packets into a Wireless Network.
• Analyze Packets with Wireshark.
• Perform Attacks using Airgeddon and WiFi Pumpkin.
• Detect and Protect against evil twin attacks.
Learn Social Engineering Attacks
Explore how attackers manipulate people instead of systems.
• Create fake login pages.
• Build malicious files that look legitimate.
• Exploit browsers using BeEF.
• Launch Phishing Attacks.
• Perform Attacks outside the Local Network.
• Learn how to defend against Social Engineering.
By the time you've completed this course bundle, you will have a strong knowledge about cyber attacks, and you will know how hackers hack and what you can do to protect against them. Who this course is for
■ Beginners who want to learn ethical hacking from scratch.
■ IT professionals looking to understand attack techniques.
■ Anyone who wants to better protect their systems and networks. Homepage
Napisane przez: OneDDL - 20-01-2026, 00:35 - Forum: Propozycje
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Free DownloadCoding Botnet & Backdoor In Python For Ethical Hacking!
Last updated 5/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 5h 11m | Size: 2.2 GB
Create An Advance Botnet and Backdoor & Keylogger That Will Be Able To Maintain Multiple Connections Simultaneously
What you'll learn
Creating A Botnet & Advance Backdoor In Python
Learn How To Command Multiple Targets Simultaneously
Code An Advance Keylogger And Implement It In Backdoor
Code Custom Pentesting Tools
Learning Python For Ethical Hacking
Kali Linux
Maintain Access On Your Target Systems With Persistence
Check For Escalated Privileges
Create undetectable backdoors
Backdoor any file type such as pictures, pdf's ...etc.
Capture On Target System
Backdoor That Reproduces
Ethical Hacking
Penetration Testing
Coding Python Malware
Python Hacking
Python Networking
Server/Client Connection Requirements
Some Python Knowledge
A Working PC With Internet Connection
Basic IT Knowledge Description
Welcome to This Comprehensive Course On Coding a Custom Botnet In Python Language! This course covers everything you need to do in order to have your own Fully Functioning Backdoor With Alot of Options aswell as coding your own Keylogger And Implementing it in your backdoor. This Course Does Not Cover Python Programming. Who this course is for
Anybody who is interested in learning ethical hacking / penetration testing
Anybody who wants to learn how hackers hack computer systems
Anybody who is interested in coding their own hacking tools Homepage
Napisane przez: OneDDL - 20-01-2026, 00:34 - Forum: Propozycje
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Free DownloadChatBots Messenger ChatBot - DialogFlow and nodejs
Last updated 1/2021
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 9h 20m | Size: 5.06 GB
Use DialogFlow to train chatbot to have dialogs. Develop backend app to connect chatbot to web services and databases
What you'll learn
understand how chatbots work
build chatbots for Messenger
know how to create custom code to add flexibility to your chatbot
have in-depth knowledge of natural language processing with DialogFlow
know and use the fb messenger api
get information from the conversation
add persistent menu
use all the possible message types: text, images, video, quick replies, buttons, carousels,...
students will get a codebase that is easily extendable
have a chatbot that can be easily extended to connect to other APIs
add rich media messages in DialogFlow
have a chatbot that answers FAQ Requirements
you need to know what chatbots are
for the second part of the course you need to know the basics of JavaScript and Node Description
Do you want to build a chatbot, so a bot that can talk? Yes, a bot that can talk to your friends or customers or fans while you sleep or do something else. You can make one for your customer that keep on asking the same questions. Or if you have a community for your fans and followers that want to know your details. Use your imagination, any time you have to reply the same thing over and over again, someone else like a bot can do it for you.In the first part of the course, we'll make a chatbot without programming skills. We'll build a ChatBot that can answer frequently asked questions, and I'll show you how to teach your bot to have any other dialogs. We'll learn this by teaching our ChatBot to make job interviews.We'll use DialogFlow to process natural language. DialogFlow will help the bot to understand what users want.The chatbot will communicate to its customers via Facebook Messenger.And in the second part, we'll use NodeJS to upgrade the bot. So the basic knowledge of javascript and NodeJS is needed.With the new app, our bot will be able to remember things, that is, store information into a database or connect to other API services. With this, the bot will gain external knowledge and functionality.And remember, I'LL BE THERE FOR YOU. I ANSWER EVERY QUESTION AND HELP EVERY STUDENT.At the end of the course, you'll have a fully functional ChatBot. And you'll also know how to teach the bot to have other dialogs with customers. You'll know how to make a bot for yourself and other people.My name is Jana Bergant, and I'm a developer with over 20 years of experience. I'm an IT instructor teaching people new tech skills. Over 17000 people are already taking my course.I help all my students at every step of development. And I'll be here for you!So if the predictions turn right, this will open up a new channel for businesses to reach a large audience. And here is a BIG OPPORTUNITY FOR YOU! Be one of the first people that know how to build chatbots. You can build it for your business or other people.This course will show you how to create a ChatBot!In the course, we use the latest version of DialogFlow. Also, I update videos regularly to stay up to date.The last update of the course was on 27th February 2020I added DialogFlow mega agents Who this course is for
everybody that realizes the potential chatbots bring
everybody who wan't a deeper knowledge of DialogFlow
everybody who wants to build a chatbot for Messanger
everybody who needs a bot to answer FAQ
everybody who needs a bot to take job interviews
everybody who need the bot to talk to customers or friend or fans or ...
You should not take the course if you don't know what chatbot is. Take a peak at the first FREE videos first!
for the second part of the course you need to know the basics of JavaScript and Node Homepage
Kod:
https://www.udemy.com/course/chatbots/
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Napisane przez: OneDDL - 20-01-2026, 00:33 - Forum: Propozycje
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Free DownloadCareer Coaching for HR Professionals Skills, Tools & Ethics
Published 1/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 44m | Size: 3.22 GB
Coach employees with confidence: career conversations, goal setting, IDPs, transitions, and ethical best practices
What you'll learn
Run effective 1:1 career coaching sessions using GROW and SMART goal-setting.
Establish trust with clear contracting, confidentiality, and ethical coaching boundaries.
Use assessments to support self-discovery and build practical career profiles.
Create aligned Individual Development Plans (IDPs) with milestones and accountability.
Coach employees through transitions: resumes, STAR interviews, and 30-60-90 plans.
Measure coaching impact with HR metrics and communicate program ROI to leaders. Requirements
There are no pre-requisites for this course Description
Have you ever seen a high-potential employee feel stuck-and quietly start looking elsewhere? Career coaching is one of the most practical ways HR can turn those moments into growth and retention. Consider this: 94% of employees say they would stay longer at a company that invests in their career development. And organizations that build strong coaching cultures consistently report higher engagement, stronger internal mobility, and healthier leadership pipelines.Today's employees want more than policies and performance ratings-they want clarity, development, and real career conversations. But many HR teams aren't given a clear playbook for how to coach ethically, structure impactful 1:1 sessions, guide employees through transitions, and prove coaching is working.That's exactly what this course delivers.In this course, you'll learn how to:- Explain what career coaching is (and isn't) in an organizational setting- Step into the HR coaching role with neutrality, trust, and role clarity- Apply essential coaching skills: active listening, powerful questions, feedback, EQ, and cultural sensitivity- Use proven frameworks (GROW, SMART, OSCAR, CLEAR) to structure coaching sessions- Conduct effective 1:1 coaching sessions-from contracting to action plans and accountability- Use career assessment tools (MBTI, DiSC, CliftonStrengths, interest/value tools) without "boxing people in"- Turn insights into goal setting and Individual Development Plans (IDPs) that align with business needs- Coach employees on personal branding, networking, mentors vs. sponsors, and elevator pitches- Support career transitions with resume coaching, STAR interview prep, mock interviews, and 30-60-90 plans- Integrate coaching into onboarding, leadership development, mentoring, and succession planning- Measure coaching impact using meaningful metrics (retention, promotions, engagement, satisfaction) and tell the ROI story- Understand emerging trends like virtual coaching, AI-enabled career tools, and the future of coaching at workBy the end, you'll have the tools, language, and structure to coach employees effectively, while strengthening talent development across your organization.Whether you're coaching directly, enabling managers to coach, or building an internal coaching program, this course will help you make career coaching a credible, scalable part of HR. Who this course is for
HR Business Partners (HRBPs) and HR Generalists
People Ops and Employee Experience professionals
Talent Management, Talent Development, and L&D specialists
Organizational Development (OD) practitioners
HR managers and HR leaders building coaching programs
Managers and team leads who want stronger coaching conversations
Internal mentors or aspiring internal coaches
DEI, engagement, and retention program owners Homepage
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ortingfilteringgroupingaggregatingde-duplicatingpivotingdeletingjoiningreplacingworking with text dataworking with temporal/datetime dataWe'll also cover some of Polar's unique column data types including:listsarraysstructsand more!Data Analysis with Polars and PythonI'm excited to share everything I've learned about Polars, a powerful library that is quickly emerging as a dominant competitor in Python's data science ecosystem. I look forward to seeing you in the course!![[Obrazek: 8aa1752ad3afa7cca773e40a4635fae5.avif]](https://i126.fastpic.org/big/2026/0120/e5/8aa1752ad3afa7cca773e40a4635fae5.avif)
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