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Free Download Rank Higher Locally 30-Minute Seo Course For Small Business
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 726.62 MB | Duration: 0h 30m
Quick, practical local SEO strategies you can implement today to improve your visibility on Google.
What you’ll learn

Understand exactly how Google ranks local businesses so you can make smarter decisions that actually impact your visibility
Optimize your Google Business Profile for maximum exposure in Google Maps and "near me" searches
Create service pages that rank locally for the exact searches your customers are typing into Google
Use simple content strategies (like FAQs and posts) to show up for more searches without building a complicated website
Improve your website to convert more visitors into calls, visits, and sales
Fix comImplement a simple monthly routine to maintain and improve your rankings over timmon local SEO mistakes that prevent your business from showing up online
Requirements
No prior SEO knowledge needed – this is made for local business owners
You should have (or be willing to set up) a Google Business Profile
Access to your website to make simple updates
A computer and internet connection
20 minutes and a willingness to implement what you learn
Description
If you’re a local business owner, showing up on Google is everything.When someone searches "near me," you either show up-or your competitors get the customer.The problem? Most SEO advice is complicated, time-consuming, and full of jargon.This course is different.Rank Higher Locally: 30-Minute SEO Course for Small Business is designed to give you quick, practical wins you can implement immediately-without hiring an agency or becoming an SEO expert.Each lesson is just 2-4 minutes long and focused on one specific action that actually moves the needle.No fluff. No theory. Just the exact fixes that help local businesses rank and get more customers.How Google ranks local businesses (and how to use it to your advantage)How to fully optimize your Google Business ProfileHow to generate more 5-star reviews consistentlyHow to create pages that rank for local searchesHow to use simple content strategies (like FAQs) to show up moreHow to improve your website so it converts visitors into customersA simple monthly routine to keep improving your rankings over timeMost courses overwhelm you with information.This one gives you 10 clear actions you can take right away.By the end of the course, you won’t just understand local SEO-you’ll have actually improved your visibility on Google.This course is perfect for:Local business ownersRetail store ownersService-based businessesAnyone who wants more customers from Google without complicated SEO
This course is for local business owners who want more customers from Google without hiring an agency or learning complicated SEO.,Own or manage a local service or retail business (pet store, hardware store, contractor, rental company, etc.),Want to show up higher in Google Maps and "near me" searches,Feel like your business should be ranking-but isn’t,Don’t have time for long courses and want quick, actionable wins,Prefer simple, practical strategies over technical marketing jargon
Homepage
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https://www.udemy.com/course/rank-1-locally-the-30-minute-seo-course-for-small-business/

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Free Download RAG with LangChain Chat with Your Data using LLMs
Published 4/2026
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 6h 41m | Size: 6.83 GB
Build RAG apps with LangChain: embeddings, vector DB (FAISS, Pinecone) & AI chatbots using your data

What you’ll learn
Understand Retrieval Augmented Generation (RAG) and how it powers modern AI applications beyond traditional LLM limitations
Design and implement complete RAG pipelines using LangChain, including document ingestion, embeddings, retrieval, and response generation
Build production-ready AI applications that can answer questions from PDFs, documents, and custom knowledge bases
Master vector databases like FAISS and Pinecone for high-performance semantic search and scalable AI systems
Apply advanced techniques like text chunking, embedding optimization, and Top-K retrieval to improve RAG accuracy
Develop a real-world AI PDF chatbot with conversational memory using LangChain and Streamlit
Integrate embeddings from HuggingFace and local models (Ollama) for flexible and efficient AI solutions
Understand how real-world companies use RAG systems in production for search, automation, and intelligent assistants
Gain practical AI engineering skills to build scalable, real-world GenAI applications using LangChain
Requirements
Basic Python knowledge is recommended, but even beginners can follow along with step-by-step guidance
No prior experience with LangChain or RAG is required – everything is explained from scratch
Familiarity with AI or Machine Learning concepts is helpful but not mandatory
A computer with internet connection to install required tools and run AI applications
Willingness to learn and build real-world AI projects step by step
No prior experience with vector databases, embeddings, or LLMs is needed
Description
Build AI Chatbots That Understand Your Data – Not Just Generate Text
Most AI courses teach you how to use LLMs.
But in the real world?
1. AI needs to work with your data
2. AI needs to retrieve accurate information
3. AI needs to avoid hallucinations
That’s where RAG (Retrieval-Augmented Generation) comes in.
In this course, you won’t just learn theory.
You will build real-world AI applications step-by-step using
• LangChain
• LLMs (Large Language Models)
• Embeddings & Vector Databases
• FAISS & Pinecone
• End-to-End RAG Pipeline
• Streamlit UI for your chatbot
What You Will Build
By the end of this course, you will be able to
1. Build an AI chatbot that can chat with your own data
2. Create a complete RAG pipeline (retrieval + generation)
3. Store and retrieve data using vector databases
4. Develop real-world AI applications used in industry
This is not a toy project.
This is exactly how modern AI systems are built.
Why This Course is Different
Most courses either

• Teach only theory
• Or only show disconnected code

This course is designed to give you
1. Clear understanding of how RAG actually works
2. Hands-on implementation with LangChain
3. Real-world use cases (PDF chatbot, knowledge base AI)
4. Practical insights to avoid common mistakes
What You Will Learn
• What is RAG and why LLMs alone are not enough
• How embeddings capture semantic meaning
• How vector databases like FAISS & Pinecone work
• How to build a complete RAG pipeline
• How to improve retrieval quality
• How to create AI chatbots using your own data
• How to design production-ready AI workflows
Who this course is for
Python developers who want to build real-world AI applications using RAG and LangChain
Data scientists and machine learning engineers looking to integrate LLMs with custom data
AI enthusiasts who want to understand and implement Retrieval Augmented Generation from scratch
Developers interested in building document-based chatbots and AI assistants
Students and professionals aiming to transition into AI engineering and GenAI development
Anyone who wants to create production-ready AI systems using vector databases, embeddings, and LLMs

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Free Download Radio Frequency Identification & NFC Research with Proxmark3
Last updated 8/2022
Created by Anton Iagounov
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English + subtitle | Duration: 11 Lectures ( 1h 50m ) | Size: 1.52 GB

A Masterclass on RFID & NFC Research, with the Proxmark3 Easy, and other RFID capable devices for Security Research
What you’ll learn
✓ Radio Frequency Identification history, timeline, and evolution. Difference between Low-Frequency, High-Frequency, Ultra-High Frequency, and NFC RFID.
✓ Basic command line skills, and familiarity with Github repository, linux and/or Windows command line interface (CLI). ing, installing, and flashing soft
✓ RFID & NFC Physical Access Control Systems, or PACS, and different tag typology, hardware, readers, and industry application such as U.S. government contracts.
✓ RFID vulnerabilities, encryption, standards, and government guidelines. HackRF, and other RFID capable readers, writers, and tools.
Requirements
● Basic commandline skills, and familiarity with github repository, linux and/or Windows commandline. ing, installing, and flashing software and firmware.
Description
This course is designed to familiarize students with Radio Frequency Identification (RFID) and Near Field Communication (NFC) technology, historic timeline, RFID industry standards, federal rules and regulations (FCC), the different types of RFID typologies (readers, tags, etc.), differences between RFID vs. NFC, low-frequency (LF), high-frequency (HF), and ultra-high frequency (UHF), and the evolution of RFID from it’s inception to our current and modern times. Students will also learn about RFID vulnerabilities, such as cloning, data manipulation, middle-man attacks on RFID systems, and much more.
Additionally, students will learn about the different Command Line Interface (CLI) commands for the Proxmark3, where we’ll dive deeper into reading, writing, and cloning RFID tags with Proxmark, and other RFID capable devices, such as the Keysy, Flipper Zero, and HackRF with GNU Radio, where we will explore a conceptual model of signal reading, processing, decrypting and relaying a high-frequency RFID tag, such as the MiFare Classic (ISO 14443). We will also discuss different RFID industry leaders, government contractors, protocols, and independent authorities who set the industry precedent for RFID and NFC.
This course is designed to bring about RFID awareness from a security researcher perspective, and is designed for ethical hackers, cybersecurity researchers, and IT professionals, with an emphasis on signals intelligence.
Who this course is for
■ Security researchers and hackers with a particular interest in Radio Frequency Identification and Near Field Communication technology.
Homepage
Code:Copy to clipboard

https://www.udemy.com/course/radio-frequency-identification-nfc-research-with-proxmark3

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Free Download Quality Management System Quality Assurance and Auditing
Published 4/2026
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 4m | Size: 254.01 MB
Complete Quality Management System Training: Learn Quality Assurance, ISO Compliance, and Auditing Skills Effectively

What you’ll learn
Understand the fundamentals of Quality Management Systems and quality principles
Learn ISO standards concepts and the structure of quality management systems
Master process improvement, quality control, and quality assurance techniques
Learn how to implement and maintain a Quality Management System in any organization
Understand documentation, standard operating procedures, and quality policies
Gain skills in auditing, internal audits, and continuous improvement methods
Learn risk management, corrective actions, and preventive actions in QMS
Understand customer satisfaction, quality metrics, and performance measurement
Develop problem-solving, root cause analysis, and quality improvement skills
Learn how to prepare for quality audits and ensure compliance with standards
Requirements
No prior experience in Quality Management Systems is required
Basic understanding of business processes is helpful but not mandatory
Interest in quality management, ISO standards, and process improvement
Description
This comprehensive Quality Management System (QMS) course is designed for professionals, managers, engineers, and auditors who want to master quality management, quality assurance, ISO standards, and auditing techniques. In today’s competitive business environment, organizations require effective QMS implementation, continuous improvement strategies, and compliance with international quality standards. This course provides you with all the tools, strategies, and knowledge to implement, manage, and optimize quality processes across any organization, ensuring excellence in products and services.
You will gain a deep understanding of Quality Management System principles, including the key elements of ISO 9001, ISO 14001, and ISO 45001 standards. We cover the complete lifecycle of QMS, from planning and documentation to implementation and auditing. Learn how to develop and maintain quality policies, procedures, and objectives that align with organizational goals. You will also explore risk management, process optimization, and quality metrics, enabling you to identify inefficiencies and implement solutions that drive measurable improvements.
The course provides an in-depth focus on quality assurance (QA) processes, including methods for monitoring performance, conducting inspections, and ensuring that products and services consistently meet customer Requirements and international standards. You will learn how to establish quality control checkpoints, corrective and preventive actions (CAPA), and continuous improvement programs that enhance operational efficiency and reduce defects. These skills are essential for professionals aiming to excel as quality managers, quality engineers, or compliance specialists.
Auditing is a core component of this course. You will master internal and external auditing techniques, including audit planning, execution, reporting, and follow-up actions. Learn how to evaluate processes, identify non-conformances, and recommend actionable improvements. This course also covers audit checklists, sampling techniques, and audit reporting formats, providing you with practical tools to become a proficient quality auditor.
Throughout the course, you will be introduced to essential quality management tools and techniques, such as Six Sigma, Lean principles, root cause analysis, process mapping, failure mode and effect analysis (FMEA), and key performance indicators (KPIs). These tools empower you to analyze workflows, improve efficiency, and maintain high standards of quality across manufacturing, service, or administrative processes.
This course is ideal for engineers, project managers, business owners, consultants, and professionals seeking advanced knowledge in quality management systems, ISO compliance, and auditing practices. By following real-world case studies, practical examples, and actionable exercises, you will gain hands-on experience in implementing QMS, performing audits, and improving organizational quality performance.
You will also develop expertise in regulatory compliance, continuous improvement initiatives, and best practices in quality assurance, making you an invaluable asset to any organization. These skills are highly sought after in industries such as manufacturing, healthcare, IT, automotive, and service sectors, where ISO certifications and quality standards play a critical role in operational excellence.
By the end of this course, you will be fully equipped to design, implement, and audit a robust Quality Management System, ensure compliance with ISO standards, and lead quality improvement initiatives that enhance efficiency, productivity, and customer satisfaction. You will gain practical knowledge that can be applied immediately in your workplace or leveraged for professional certification exams in ISO 9001, ISO 14001, quality assurance, and auditing.
Enroll in this course today and start your journey toward becoming a quality management expert, mastering QMS, quality assurance, auditing, ISO standards, process improvement, and compliance techniques. Transform your career, boost your professional credibility, and position yourself as a leader in the field of quality management and auditing.
Who this course is for
Beginners who want to learn Quality Management Systems from scratch
Quality professionals seeking to improve their skills and knowledge
Managers and supervisors responsible for quality control and assurance
Engineers and technicians involved in process improvement and compliance
Business owners who want to implement a Quality Management System
Auditors and consultants interested in ISO standards and auditing practices
Anyone interested in quality assurance, process improvement, and operational excellence

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Free Download Quality Management System Iso 9001 Auditor Certification
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 920.25 MB | Duration: 3h 52m
Quality Management System: Master ISO 9001, Quality Assurance, Auditing Skills for Career Growth Success and Cert Skill
What you’ll learn

Understand the fundamentals of Quality Management Systems and quality principles
Learn ISO standards concepts and the structure of quality management systems
Master process improvement, quality control, and quality assurance techniques
Learn how to implement and maintain a Quality Management System in any organization
Understand documentation, standard operating procedures, and quality policies
Gain skills in auditing, internal audits, and continuous improvement methods
Learn risk management, corrective actions, and preventive actions in QMS
Understand customer satisfaction, quality metrics, and performance measurement
Develop problem-solving, root cause analysis, and quality improvement skills
Learn how to prepare for quality audits and ensure compliance with standards
Requirements
No prior experience in Quality Management Systems is required
Basic understanding of business processes is helpful but not mandatory
Interest in quality management, ISO standards, and process improvement
Description
This comprehensive Quality Management System (QMS) course is designed for professionals, managers, engineers, and auditors who want to master quality management, quality assurance, ISO standards, and auditing techniques. In today’s competitive business environment, organizations require effective QMS implementation, continuous improvement strategies, and compliance with international quality standards. This course provides you with all the tools, strategies, and knowledge to implement, manage, and optimize quality processes across any organization, ensuring excellence in products and services.You will gain a deep understanding of Quality Management System principles, including the key elements of ISO 9001, ISO 14001, and ISO 45001 standards. We cover the complete lifecycle of QMS, from planning and documentation to implementation and auditing. Learn how to develop and maintain quality policies, procedures, and objectives that align with organizational goals. You will also explore risk management, process optimization, and quality metrics, enabling you to identify inefficiencies and implement solutions that drive measurable improvements.The course provides an in-depth focus on quality assurance (QA) processes, including methods for monitoring performance, conducting inspections, and ensuring that products and services consistently meet customer requirements and international standards. You will learn how to establish quality control checkpoints, corrective and preventive actions (CAPA), and continuous improvement programs that enhance operational efficiency and reduce defects. These skills are essential for professionals aiming to excel as quality managers, quality engineers, or compliance specialists.Auditing is a core component of this course. You will master internal and external auditing techniques, including audit planning, execution, reporting, and follow-up actions. Learn how to evaluate processes, identify non-conformances, and recommend actionable improvements. This course also covers audit checklists, sampling techniques, and audit reporting formats, providing you with practical tools to become a proficient quality auditor.Throughout the course, you will be introduced to essential quality management tools and techniques, such as Six Sigma, Lean principles, root cause analysis, process mapping, failure mode and effect analysis (FMEA), and key performance indicators (KPIs). These tools empower you to analyze workflows, improve efficiency, and maintain high standards of quality across manufacturing, service, or administrative processes.This course is ideal for engineers, project managers, business owners, consultants, and professionals seeking advanced knowledge in quality management systems, ISO compliance, and auditing practices. By following real-world case studies, practical examples, and actionable exercises, you will gain hands-on experience in implementing QMS, performing audits, and improving organizational quality performance.You will also develop expertise in regulatory compliance, continuous improvement initiatives, and best practices in quality assurance, making you an invaluable asset to any organization. These skills are highly sought after in industries such as manufacturing, healthcare, IT, automotive, and service sectors, where ISO certifications and quality standards play a critical role in operational excellence.By the end of this course, you will be fully equipped to design, implement, and audit a robust Quality Management System, ensure compliance with ISO standards, and lead quality improvement initiatives that enhance efficiency, productivity, and customer satisfaction. You will gain practical knowledge that can be applied immediately in your workplace or leveraged for professional certification exams in ISO 9001, ISO 14001, quality assurance, and auditing.Enroll in this course today and start your journey toward becoming a quality management expert, mastering QMS, quality assurance, auditing, ISO standards, process improvement, and compliance techniques. Transform your career, boost your professional credibility, and position yourself as a leader in the field of quality management and auditing.
Beginners who want to learn Quality Management Systems from scratch,Quality professionals seeking to improve their skills and knowledge,Managers and supervisors responsible for quality control and assurance,Engineers and technicians involved in process improvement and compliance,Business owners who want to implement a Quality Management System,Auditors and consultants interested in ISO standards and auditing practices,Anyone interested in quality assurance, process improvement, and operational excellence
Homepage
Code:Copy to clipboard

https://www.udemy.com/course/quality-management-system-quality-assurance-and-auditing/

Code:Copy to clipboard

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Free Download Qlik Sense Business Analyst Masterclass
Published 3/2026
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 4h 1m | Size: 2.27 GB
Go from Beginner to App Developer – Create Real Qlik Sense Applications by the End

What you’ll learn
Defines the roles and responsibilities of a Qlik Sense Business Analyst
Learn how to use Data Manager to Load Data
Learn how to use Data Manager to Transform Data
Make a Dashboard to analysis Sales of a Chain of Grocery Stores
Requirements
No prerequisites. Basic knowledge of Qlik is good to have but not mandatory
Description
Qlik Sense Business Analyst Masterclass
Become a Job-Ready Qlik Sense Business Analyst – From Beginner to Advanced
The Qlik Sense Business Analyst Masterclass is a comprehensive, hands-on program designed to transform you into a confident and job-ready analytics professional. Whether you are a beginner starting your journey in data analytics or an experienced professional looking to upskill, this course provides a structured and practical approach to mastering Qlik Sense.
You will begin by learning how to build Qlik Sense applications from scratch, covering the complete development lifecycle-from loading raw data to designing interactive and insightful dashboards. The course emphasizes real-world scenarios to ensure you gain practical, industry-relevant skills.
Next, you will master the Data Manager, where you will learn how to prepare, clean, and model data efficiently using Qlik’s intuitive interface. This will enable you to work with complex datasets and create optimized data models for better performance and insights.
A key highlight of the course is learning to leverage the Insights Advisor, Qlik’s AI-powered analytics feature. You will explore conversational analytics and discover how AI can automatically generate visualizations, uncover trends, and provide actionable insights, helping you make smarter business decisions.
The course will also introduce you to Machine Learning experiments within Qlik and guide you on ML model deployment. You will understand how to integrate predictive analytics into your dashboards, bridging the gap between traditional BI and advanced analytics.
By the end of this masterclass, you will have the skills and confidence to independently build, analyze, and deploy Qlik Sense applications in real-world business environments.
Who this course is for
Data Analysts, Business Analyst who want to learn a BI tool

Code:Copy to clipboard

DDownload
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PyTorch: Deep Learning and Artificial Intelligence
Video: .mp4 (1280×720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 7.27 GB
Genre: eLearning Video | Duration: 139 lectures (22 hour, 39 mins) | Language: English​

Neural Networks for Computer Vision, Time Series Forecasting, NLP, GANs, Reinforcement Learning, and More!

What you’ll learn

Artificial Neural Networks (ANNs) / Deep Neural Networks (DNNs)
Predict Stock Returns
Time Series Forecasting
Computer Vision
How to build a Deep Reinforcement Learning Stock Trading Bot
GANs (Generative Adversarial Networks)
Recommender Systems
Image Recognition
Convolutional Neural Networks (CNNs)
Recurrent Neural Networks (RNNs)
Natural Language Processing (NLP) with Deep Learning
Demonstrate Moore’s Law using Code
Transfer Learning to create state-of-the-art image classifiers

Requirements

Know how to code in Python and Numpy
For the theoretical parts (optional), understand derivatives and probability

Description

Welcome to PyTorch: Deep Learning and Artificial Intelligence!

Although Google’s Deep Learning library Tensorflow has gained massive popularity over the past few years, PyTorch has been the library of choice for professionals and researchers around the globe for deep learning and artificial intelligence.

Is it possible that Tensorflow is popular only because Google is popular and used effective marketing?

Why did Tensorflow change so significantly between version 1 and version 2? Was there something deeply flawed with it, and are there still potential problems?

It is less well-known that PyTorch is backed by another Internet giant, Facebook (specifically, the Facebook AI Research Lab – FAIR). So if you want a popular deep learning library backed by billion dollar companies and lots of community support, you can’t go wrong with PyTorch. And maybe it’s a bonus that the library won’t completely ruin all your old code when it advances to the next version.

On the flip side, it is very well-known that all the top AI shops (ex. OpenAI, Apple, and JPMorgan Chase) use PyTorch. OpenAI just recently switched to PyTorch in 2020, a strong sign that PyTorch is picking up steam.

If you are a professional, you will quickly recognize that building and testing new ideas is extremely easy with PyTorch, while it can be pretty hard in other libraries that try to do everything for you. Oh, and it’s faster.

Deep Learning has been responsible for some amazing achievements recently, such as:

Generating beautiful, photo-realistic images of people and things that never existed (GANs)

Beating world champions in the strategy game Go, and complex video games like CS:GO and Dota 2 (Deep Reinforcement Learning)

Self-driving cars (Computer Vision)

Speech recognition (e.g. Siri) and machine translation (Natural Language Processing)

Even creating videos of people doing and saying things they never did (DeepFakes – a potentially nefarious application of deep learning)

This course is for beginner-level students all the way up to expert-level students. How can this be?

If you’ve just taken my free Numpy prerequisite, then you know everything you need to jump right in. We will start with some very basic machine learning models and advance to state of the art concepts.

Along the way, you will learn about all of the major deep learning architectures, such as Deep Neural Networks, Convolutional Neural Networks (image processing), and Recurrent Neural Networks (sequence data).

Current projects include:

Natural Language Processing (NLP)

Recommender Systems

Transfer Learning for Computer Vision

Generative Adversarial Networks (GANs)

Deep Reinforcement Learning Stock Trading Bot

Even if you’ve taken all of my previous courses already, you will still learn about how to convert your previous code so that it uses Tensorflow 2.0, and there are all-new and never-before-seen projects in this course such as time series forecasting and how to do stock predictions.

This course is designed for students who want to learn fast, but there are also "in-depth" sections in case you want to dig a little deeper into the theory (like what is a loss function, and what are the different types of gradient descent approaches).

I’m taking the approach that even if you are not 100% comfortable with the mathematical concepts, you can still do this! In this course, we focus more on the PyTorch library, rather than deriving any mathematical equations. I have tons of courses for that already, so there is no need to repeat that here.

Instructor’s Note: This course focuses on breadth rather than depth, with less theory in favor of building more cool stuff. If you are looking for a more theory-dense course, this is not it. Generally, for each of these topics (recommender systems, natural language processing, reinforcement learning, computer vision, GANs, etc.) I already have courses singularly focused on those topics.

Thanks for reading, and I’ll see you in class!

Who this course is for:

Beginners to advanced students who want to learn about deep learning and AI in PyTorch

For More Courses Visit & Bookmark Your Preferred Language Blog
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Python: Structuring Larger Projects with Modern Packaging
.MP4, AVC, 1280×720, 30 fps | English, AAC, 2 Ch | 54m | 384 MB
Instructor: Ed Freitas​

Learn how to scale and organize Python applications using modern packaging standards. This course will teach you how to structure, secure, and distribute large Python projects for maintainability and growth.

What you’ll learn

As Python projects grow from small utilities to enterprise-scale platforms, teams often struggle to maintain structure, consistency, and security across multiple packages and contributors. In this course, Python: Structuring Larger Projects with Modern Packaging, you’ll learn to design, organize, and package Python applications for scalability, maintainability, and secure distribution.

First, you’ll explore how to structure large projects using modern layouts and evaluate when to use monorepos versus multi-package architectures to meet organizational needs. Next, you’ll discover how to manage and secure dependencies, implement automated CI/CD pipelines, and apply modern packaging standards to streamline builds, testing, and distribution workflows. Finally, you’ll learn how to design extensible, plug-in-based architectures that enable teams to scale features and integrations without breaking core systems.

When you’re finished with this course, you’ll have the skills and knowledge of modern Python packaging and project structuring needed to build, distribute, and maintain production-ready Python applications that can evolve gracefully over time.

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