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NestJS Microservices with RabbitMQ, API Gateway & Prisma
Published 4/2025
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 5h 7m | Size: 2.65 GB​

A Step-by-Step Guide to build microservices in Nestjs using MongoDB, Postgres, Docker, API Gateway and RabbitMQ

What you’ll learn
Build Scalable Microservices with NestJS – Learn how to architect and develop production-ready microservices using NestJS, TypeScript, and Docker.
Master Inter-Service Communication – Implement TCP-based communication, RabbitMQ message queues, and API Gateway to enable seamless data flow between microservi
Secure Microservices with Authentication & Authorization – Implement JWT-based authentication, NestJS Guards, and authorization strategies for protecting APIs.
Learn how to build API Gateway in NestJs

Requirements
Basic Knowledge of JavaScript/TypeScript – Some experience with JavaScript or TypeScript will help you follow along easily.
Familiarity with Node.js – Understanding of Node.js fundamentals is recommended but not mandatory
Basic Understanding of Databases – Some experience with MongoDB or PostgreSQL will be helpful, but all concepts will be explained.
Willingness to Learn – No prior microservices experience is required! This course is designed to take you from beginner to advanced in NestJS microservices.

Description
NestJS is one of the best frameworks for modern backend development. It combines the best features of Angular, Express, and TypeScript, making it a go-to choice for building scalable, maintainable, and production-ready applications.Are you struggling to build scalable, production-ready microservices with NestJS? Do you want to master RabbitMQ, MongoDB, Postgres Docker, Prisma, and API Gateways while learning real-world best practices? This course is for you!In this comprehensive NestJS Microservices course, you’ll learn to build a fully functional microservices architecture from scratch. You’ll master inter-service communication, authentication, database integrations, and deployment – all with hands-on projects and practical coding exercises.What You’ll Learn:Setup a Scalable NestJS Microservices Project from scratchImplement TCP, RabbitMQ, and API Gateway-based communicationSecure microservices with JWT authentication and NestJS GuardsWork with MongoDB, PostgreSQL, Prisma, and TypeORMContainerize microservices with Docker & Docker ComposeWhy Take This Course? Hands-on projects – Code alongside real-world applications Step-by-step explanations – No prior microservices experience needeUpdated for 2024 – Covers the latest NestJS & microservices patternsIf you’re ready to master NestJS Microservices and become a job-ready backend developer, enroll now and start coding! NestJS microservices offer several benefits, especially for building scalable and maintainable backend applications. 1. ScalabilityMicroservices allow independent scaling of different services based on demand.NestJS supports distributed systems, enabling horizontal scaling.2. Decoupled ArchitectureEach microservice is independent, making it easier to modify, deploy, and maintain.Services can be developed, tested, and deployed separately.3. Built-in Transport Layer SupportSupports various transport layers like Redis, RabbitMQ, NATS, Kafka, MQTT, gRPC, and more.Enables event-driven communication, improving performance and resilience.4. High PerformanceEfficient handling of requests through asynchronous communication.Reduces load on individual services by distributing workloads.5. Improved Fault ToleranceIf one microservice fails, others continue working, reducing the impact on the system.Supports circuit breakers and retries to handle failures effectively.6. Technology AgnosticEach microservice can use different technologies or programming languages.NestJS allows seamless integration with external APIs and services.7. Better Team ProductivityDifferent teams can work on separate microservices without dependency bottlenecks.Faster development cycles due to modular architecture.8. Enhanced MaintainabilityClear separation of concerns makes debugging and updating code easier.Smaller, well-defined services reduce technical debt.9. Security and IsolationEach service has its own security boundaries, reducing the impact of vulnerabilities.Allows implementation of zero-trust security models at the service level.10. Support for Domain-Driven Design (DDD)Helps structure services based on business logic and domain requirements.Encourages clean and maintainable architecture.

Who this course is for
This course is designed for backend developers and Node.js engineers who want to build scalable, production-ready microservices using NestJS.
Node.js & JavaScript Developers – If you have experience with Node.js and want to transition into microservices architecture, this course will guide you step by step.
Backend EIf you’re preparing for a job in backend development, this course will boost your skills and portfolio with real-world microservices projects.ngineers – Developers who want to master NestJS, RabbitMQ, API Gateway, and Prisma to build efficient distributed systems.
If you’re preparing for a job in backend development, this course will boost your skills and portfolio with real-world microservices projects.
If you’ve heard about microservices architecture but never had a chance to implement it, this course will provide hands-on experience.

Nessus Scanner: Network Scanning From Beginner To Advanced!
Published 10/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.63 GB | Duration: 5h 56m​

After this ONE course, you will be able to configure and use Nessus for vulnerability assessments like a PRO!

What you’ll learn

Nessus Essentials

Nessus Professional

Automated Vulnerability Scanning

Writing Custom Professional Reports

Nessus Secret Tips and Tricks

Concept of Second Opinion Scanning

Unauthenticated & Authenticated Scans

Network & Web Application Scans

BONUS: Importing Results of Nmap In Nessus

BONUS: Creating VA Project Worksheet (Reason #1 Why Experts Are Paid More.)

BONUS: Vulnerability Scanning with Metasploit

BONUS: Manually Analyze & Rank Vulnerabilities

Requirements

Device with Windows / OSX / Linux

No Programming or Hacking Knowledge Required

Just google the things if you don’t understand a concept. Take action and start the course now!!!

Description
"YOOOO AMAZING, THERE ARE MORE THAN 2 MILLION UNFILLED CYBER SECURITY JOBS!"You’ve heard this kind of sentence many times before. (Am I not right?)Then Where Are These Jobs? Why are we not seeing many people getting such jobs and why are so many ethical hackers still unemployed?Let me tell you the ONLY REAL TRUTH:Yes, This is a correct number, Millions of cyber security job positions are actually unfilled.Yes, Millions of people actually exist who want and try to get these jobs.Yes, They all get immediately rejected in the interviews!What’s UNBELIEVABLE is that most of these people call themselves Ethical Hackers, Vulnerability Assessors, Security Assessment Experts, Auditors, among other self-proclaimed titles.Reasons they fail which they DON’T even realize:They do not have the right skills.END OF STORY.Yes, Only 1 Reason.These are the people who learnt from random courses, teachers, videos, websites, unofficial books, some unrealisitic 24 hour certifications, and almost completely useless college cyber security degrees.They Simply DON’T Have The Skills Which Employers Are Actually Looking For.What these people have are skills that are all TECHNICAL.They CANNOT interpret the results given by their tools or techniques.They CANNOT communicate the meaning of the security weaknesses for the organization.They CANNOT think beyond automated tools, and do not know how to manually do the job and accurately get the results.BELIEVE ME, All These Things Were Not Common Sense.YOU need to learn a Skill that employers care for, in a complete and practical way.YOU need to be able to Interpret and Communicate the results of tools and explain how they can affect the organization.YOU need to act like a professional and submit an Industry Grade Report with the right tools to use, right people to contact and all other minute details to understand and fix a security weakness, when it matters the most to the organization!–> Once you have all of this, Working in security field won’t be that difficult. ever again!(Before I continue, I just want to say that after wasting years trying to learn things by my own, "Things" which then proved to be completely useless information, I can’t see any more people devastated and wasting their precious time.I still feel sad when I look back at me years ago, when I was sitting in a room alone, raining outside, but all quiet, feeling upset about not being able to achieve anything in life even after learning everything I could and trying so many times, all of that to get no progress in my infosec career.Here, after all these years, This is the one skill that made me get to where I am right now, the single most important skill of my career!)The easiest and most popular SKILL to get into cybersecurity industry is "VULNERABILITY ASSESSMENT".Vulnerability Assessment is the process of Identifying, Analyzing and Ranking Security Vulnerabilities (Weaknesses).Most organizations are required (NOT AN OPTION) by law or other regulatory compliances to conduct a vulnerability assessment at very regular time intervals in their organzation.So they HAVE TO hire professionals who know this art of vulnerability assessment. And they want the best people like YOU for this kind of critical security work.This skill is also one of the most important parts of PENETRATION TESTING. Without it, Penetration Testing is not even possible.For carrying out vulnerability assessment, people use manual methods combined with automated tools.Nessus is the world’s No. 1 vulnerability scanning solution. This is one of the most important tools you need for this work.In this course, you will learn EXACTLY how to do a complete vulnerability assessment and successfully configure and use products Nessus Essentials and Nessus Professional in a company you work at or in professional assessment and penetration testing projects.Learn and Master the Number One Vulnerability Scanning Software, Nessus, in this Comprehensive Course Which Covers:Nessus EssentialsNessus ProfessionalAutomated Vulnerability ScanningWriting Custom Professional ReportsNessus Secret Tips and TricksConcept of Second Opinion ScanningUnauthenticated & Authenticated ScansNetwork & Web Application ScansBONUS: Importing Results of Nmap In NessusBONUS: Creating VA Project WorksheetBONUS: Vulnerability Scanning with MetasploitBONUS: Manually Analyze & Rank VulnerabilitiesIn short, this means you learn everything!Not only Nessus, I’ll also teach you:How to do a vulnerability assessment manually, from start to end, without using any tool.How to interpret and understand the results which Nessus gives to you.How to make a PROFESSIONAL REPORT which you will finally show to your employer/customer.How to use VEGA Vulnerability Scanner: A FREE alternative to Nessus.How to perform Specific Vulnerability Scanning with Vega and Metasploit.How to apply the concept of SECOND OPINION SCANNING in a vulnerability assessment to make it upto 5X more effective.And much more.By the end of this course, you will have EVERYTHING you need to do a complete vulnerability assessment from start to end, on your own, using Nessus without wasting years of time trying to do it on your own and realizing you need help with it or ANY previous experience!When you get work like this in the real world, you will be given policies to follow. I will precisely explain to you how to correctly follow these policies while you are creating your scan inside Nessus.Watch as I reveal secrets of the Industry and Nessus which experts keep to themselves. "You gave amazing inside information", a student gave a short review about me in one of my previous courses.You will love the fact that this course is REALLY EASY TO FOLLOW ALONG. All you have to do is play, pause and then practice what I do in your own lab environment (which I will also help you to build), and under a week, you will have these special skills.This entire course is made with no script, no boring powerpoint, we will jump straight into complete hands-on practicals. So it’s going to be more raw fun than you have ever imagined, trust me You can start this course with any knowledge level and go further from there. You will be motivated by watching the lectures in the course to try what I do, and if you fail, you experience the greatest value of the course which is access to the instructor (yes, me!) for help.SKIP YEARS OF EXTRA TIME AND HARD WORK that most beginners spend learning Nessus & Vulnerability Assessment and boost your skills and career immediately!ZERO RISK: If you aren’t IN LOVE with this course Udemy will refund your entire purchase amount within 30 days. NO questions asked!You have literally nothing to lose and so much to gain!What are you waiting for?ENROLL NOW & get the unfair advantage today!p.s. Have a look at the course preview lessons below (to get started for FREE right now)!
Overview

Section 1: Welcome to the Course

Lecture 1 Introduction and the "why" you need this course

Lecture 2 Let me show you how this course is setup for your benefit!

Lecture 3 Questions? See how to get the most value out of this course and get more help

Section 2: Setting up the Laboratory

Lecture 4 Installing up our Practice Lab

Lecture 5 Getting Nessus Essentials / PRO

Section 3: Basics of Vulnerability Analysis

Lecture 6 Everything "Theory" Of Vulnerability Assessment In One Video

Lecture 7 Difference Between Scanning, Assessment and Management

Lecture 8 Prerequisite: Passive Information Gathering (Don’t Skip)

Lecture 9 Prerequisite: Active Information Gathering (Don’t Skip)

Lecture 10 Manual Vulnerability Assessment Without Using Any Tool

Section 4: Each Tab of Nessus in Deep

Lecture 11 Let’s get an 10,000 Foot Overview of Nessus

Lecture 12 How to use Folders of Nessus (My Scans, All Scans & Trash)

Lecture 13 Practical: Running a Basic Nessus Scan on a Real Machine

Lecture 14 Practical: Host Discovery Scan and OS Identification Scan

Lecture 15 How to use Resources of Nessus (Policies & Plugin Rules)

Lecture 16 How to use Settings of Nessus

Lecture 17 Practical: Running an Advanced Nessus Scan on a Real Machine (Coming Soon)

Lecture 18 See how I ANALYZE results of a done nessus scan (Nobody will teach you this!)

Section 5: Nessus For Real Life Scenarios

Lecture 19 How to use Nessus Policies (Reusable Scans)

Lecture 20 How to use Compliance Templates

Lecture 21 How to use Web Application Scanner

Lecture 22 How to do Authenticated (Credentialed) Scans

Lecture 23 What is Tenable’s Virtual Appliance?

Lecture 24 Is Importing Nmap Results In Nessus Possible?

Lecture 25 Vulnerability Scanning with Metasploit (Coming Soon)

Lecture 26 NMAP & VEGA Tutorial – Alternative To Nessus But Free

Lecture 27 The Amazing Nessusd.Rules File Nobody Explains

Section 6: Writing Fully Custom Reports

Lecture 28 Creating a Real VA Project Worksheet (With FILES)

Lecture 29 Report Writing For A Vulnerability Assessment (Coming Soon)

Lecture 30 Course Conclusion, Congratulations and Thank You So Much!

Section 7: BONUS Section

Lecture 31 Bonus Lecture

Penetration testers looking to build deeper knowledge of burp suite.,Bug hunters desiring to learn more about burp suite functions.,Freelancers wishing to add an in demand skill to their profile.

Natural Language Processing In Python (New For 2025!)
Published 5/2025
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.46 GB | Duration: 12h 37m​

Learn NLP in Python, including text cleaning, machine learning, transformers & LLMs using scikit-learn and Hugging Face

What you’ll learn

Review the history and evolution of NLP techniques and applications, from traditional machine learning models to modern LLM approaches

Walk through the NLP text preprocessing pipeline, including cleaning, normalization, linguistic analysis, and vectorization

Use traditional machine learning techniques to perform sentiment analysis, text classification, and topic modeling

Understand the theory behind neural networks and deep learning, the building blocks of modern NLP techniques

Break down the main parts of the Transformers architecture, including embeddings, attention and feedforward neural networks (FFNs)

Use pretrained LLMs with Hugging Face to perform sentiment analysis, NER, zero-shot classification, document similarity, and text summarization & generation

Requirements

We strongly recommend taking our Data Prep & EDA with Python course first

Jupyter Notebooks (free download, we’ll walk through the install)

Familiarity with base Python and Pandas is recommended, but not required

Description

This is a practical, hands-on course designed to give you a comprehensive overview of all the essential concepts for modern Natural Language Processing (NLP) in Python.We’ll start by reviewing the history and evolution of NLP over the past 70 years, including the most popular architecture at the moment, Transformers. We’ll also walk through the initial text preprocessing steps required for modeling, where you’ll learn how to clean and normalize data with pandas and spaCy, then vectorize that data into a Document-Term Matrix using both word counts and TF-IDF scores.After that, the course is split into two parts:The first half covers traditional machine learning techniquesThe second half covers modern deep learning and LLM (large language model) approachesFor the traditional NLP applications, we’ll begin with Sentiment Analysis to determine the positivity or negativity of text using the VADER library. Then we’ll cover Text Classification on labeled data with Naïve Bayes, as well as Topic Modeling on unlabeled data using Non-Negative Matrix Factorization, all using the scikit-learn library.Once you have a solid understanding of the foundational NLP concepts, we’ll move on to the second half of the course on modern NLP techniques, which covers the major advancements in NLP and the data science mindset shift over the past decade.We’ll start with the basic building blocks of modern NLP techniques, which are neural networks. You’ll learn how neural networks are trained, become familiar with key terms like layers, nodes, weights, and activation functions, and then get introduced to popular deep learning architectures and their practical applications.After that, we’ll talk about Transformers, the architectures behind popular LLMs like ChatGPT, Gemini, and Claude. We’ll cover how the main layers work and what they do, including embeddings, attention, and feedforward neural networks. We’ll also review the differences between encoder-only, decoder-only, and encoder-decoder models, and the types of LLMs that fall into each category.Last but not least, we’re going to apply what we’ve learned with Python. We’ll be using Hugging Face’s Transformers library and their Model Hub to demo six practical NLP applications, including Sentiment Analysis, Named Entity Recognition, Zero-Shot Classification, Text Summarization, Text Generation, and Document Similarity.COURSE OUTLINE:Installation & SetupInstall Anaconda, start writing Python code in a Jupyter Notebook, and learn how to create a new conda environment to get set up for this courseNatural Language Processing 101Review the basics of natural language processing (NLP), including key concepts, the evolution of NLP over the years, and its applications & Python librariesText PreprocessingWalk through the text preprocessing steps required before applying machine learning algorithms, including cleaning, normalization, vectorization, and moreNLP with Machine LearningPerform sentiment analysis, text classification, and topic modeling using traditional NLP methods, including rules-based, supervised, and unsupervised machine learning techniquesNeural Networks & Deep LearningVisually break down the concepts behind neural networks and deep learning, the building blocks of modern NLP techniquesTransformers & LLMsDive into the main parts of the transformer architecture, including embeddings, attention, and FFNs, as well as popular LLMs for NLP tasks like BERT, GPT, and moreHugging Face TransformersIntroduce the Hugging Face Transformers library in Python and walk through examples of how you can use pretrained LLMs to perform NLP tasks, including sentiment analysis, named entity recognition (NER), zero-shot classification, text summarization, text generation, and document similarityNLP Review & Next StepsReview the NLP techniques covered in this course, when to use them, and how to dive deeper and stay up-to-date__________Ready to dive in? Join today and get immediate, LIFETIME access to the following:12.5 hours of high-quality video13 homework assignments4 interactive exercisesNatural Language Processing in Python ebook (200+ pages)Downloadable project files & solutionsExpert support and Q&A forum30-day satisfaction guaranteeIf you’re an aspiring or seasoned data scientist looking for a practical overview of both traditional and modern NLP techniques in Python, this is the course for you.Happy learning!-Alice Zhao (Python Expert & Data Science Instructor, Maven Analytics)

Overview

Section 1: Getting Started

Lecture 1 Course Introduction

Lecture 2 About This Series

Lecture 3 Course Structure & Outline

Lecture 4 READ ME: Important Notes for New Students

Lecture 5 DOWNLOAD: Course Resources

Lecture 6 The Course Assignments

Section 2: Installation & Setup

Lecture 7 Section Introduction

Lecture 8 Anaconda Overview

Lecture 9 Installing Anaconda

Lecture 10 Launching Jupyter Notebook

Lecture 11 Conda Environments

Lecture 12 Conda Workflow

Lecture 13 Conda Commands

Lecture 14 DEMO: Create a Conda Environment

Lecture 15 Environments in This Course

Section 3: Natural Language Processing 101

Lecture 16 Section Introduction

Lecture 17 Intro to NLP

Lecture 18 History of NLP

Lecture 19 NLP Applications & Techniques

Lecture 20 NLP Libraries in Python

Lecture 21 Key Takeaways

Section 4: Text Preprocessing

Lecture 22 Section Introduction

Lecture 23 NLP Pipeline

Lecture 24 Text Preprocessing Overview

Lecture 25 ASSIGNMENT: Create a New Environment

Lecture 26 SOLUTION: Create a New Environment

Lecture 27 Text Preprocessing with Pandas

Lecture 28 DEMO: Text Preprocessing Setup

Lecture 29 DEMO: Text Preprocessing with Pandas

Lecture 30 PRO TIP: Create a Function

Lecture 31 ASSIGNMENT: Text Preprocessing with Pandas

Lecture 32 SOLUTION: Text Preprocessing with Pandas

Lecture 33 Text Preprocessing with spaCy

Lecture 34 Tokenization

Lecture 35 Lemmatization

Lecture 36 Stop Words

Lecture 37 Parts of Speech Tagging

Lecture 38 DEMO: Tokens, Lemmas & Stop Words

Lecture 39 PRO TIP: Use the Apply Method

Lecture 40 DEMO: Parts of Speech Tagging

Lecture 41 DEMO: Create an NLP Pipeline

Lecture 42 ASSIGNMENT: Text Preprocessing with spaCy

Lecture 43 SOLUTION: Text Preprocessing with spaCy

Lecture 44 Vectorization

Lecture 45 Count Vectorizer in Python

Lecture 46 DEMO: Count Vectorizer

Lecture 47 DEMO: Count Vectorizer Parameters

Lecture 48 PRO TIP: Exploratory Data Analysis

Lecture 49 ASSIGNMENT: Count Vectorizer

Lecture 50 SOLUTION: Count Vectorizer

Lecture 51 TF-IDF

Lecture 52 TF-IDF Vectorizer in Python

Lecture 53 DEMO: TF-IDF Vectorizer

Lecture 54 ASSIGNMENT: TF-IDF Vectorizer

Lecture 55 SOLUTION: TF-IDF Vectorizer

Lecture 56 Key Takeaways

Section 5: NLP with Machine Learning

Lecture 57 Section Introduction

Lecture 58 What is Machine Learning?

Lecture 59 Common ML Algorithms for NLP

Lecture 60 Traditional NLP Overview

Lecture 61 Traditional vs Modern NLP

Lecture 62 DEMO: Create a New Environment

Lecture 63 Sentiment Analysis

Lecture 64 Sentiment Analysis in Python

Lecture 65 DEMO: Sentiment Analysis in Python

Lecture 66 ASSIGNMENT: Sentiment Analysis

Lecture 67 SOLUTION: Sentiment Analysis

Lecture 68 Text Classification Basics

Lecture 69 Text Classification Algorithms

Lecture 70 Naïve Bayes

Lecture 71 Naïve Bayes in Python

Lecture 72 DEMO: Naïve Bayes Setup

Lecture 73 DEMO: Naïve Bayes Workflow

Lecture 74 DEMO: Naïve Bayes Prediction

Lecture 75 PRO TIP: Compare ML Models

Lecture 76 Text Classification Next Steps

Lecture 77 ASSIGNMENT: Text Classification

Lecture 78 SOLUTION: Text Classification

Lecture 79 Topic Modeling Basics

Lecture 80 Topic Modeling Algorithms

Lecture 81 Non-Negative Matrix Factorization (NMF)

Lecture 82 NMF in Python

Lecture 83 DEMO: Fit an NMF Model

Lecture 84 PRO TIP: Display Topics Function

Lecture 85 DEMO: Tune an NMF Model

Lecture 86 Topic Modeling Next Steps

Lecture 87 PRO TIP: Combine ML Algorithms

Lecture 88 ASSIGNMENT: Topic Modeling

Lecture 89 SOLUTION: Topic Modeling

Lecture 90 Key Takeaways

Section 6: Neural Networks & Deep Learning

Lecture 91 Section Introduction

Lecture 92 Modern NLP Overview

Lecture 93 Intro to Neural Networks

Lecture 94 Logistic Regression Refresher

Lecture 95 Logistic Regression: Visually Explained

Lecture 96 Neural Networks: Visually Explained

Lecture 97 Neural Network Summary

Lecture 98 EXERCISE: Neural Network Components

Lecture 99 SOLUTION: Neural Network Components

Lecture 100 Neural Networks in Python

Lecture 101 DEMO: Neural Networks in Python

Lecture 102 DEMO: Neural Network Matrices

Lecture 103 PRO TIP: NN Notation & Matrices

Lecture 104 How a Neural Network is Trained

Lecture 105 Neural Network Training: Visually Explained

Lecture 106 EXERCISE: Neural Network Training

Lecture 107 SOLUTION: Neural Network Training

Lecture 108 Intro to Deep Learning

Lecture 109 Deep Learning Architectures

Lecture 110 Deep Learning in Practice

Lecture 111 Pretrained Deep Learning Models

Lecture 112 EXERCISE: Deep Learning Concepts

Lecture 113 SOLUTION: Deep Learning Concepts

Lecture 114 Key Takeaways

Section 7: Transformers & LLMs

Lecture 115 Section Introduction

Lecture 116 Modern NLP Recap

Lecture 117 Transformers & LLMs Overview

Lecture 118 Transformer Architecture

Lecture 119 Transformer Architecture | Embeddings

Lecture 120 Transformer Architecture | Attention

Lecture 121 Transformer Architecture | Feedforward Neural Network

Lecture 122 Transformers Summary

Lecture 123 Breaking Down the Transformer Diagram

Lecture 124 Encoders & Decoders

Lecture 125 Large Language Models (LLMs)

Lecture 126 EXERCISE: Transformers & LLMs Concepts

Lecture 127 SOLUTION: Transformers & LLMs Concepts

Lecture 128 Key Takeaways

Section 8: Transformers with Hugging Face

Lecture 129 Section Introduction

Lecture 130 Hugging Face Overview

Lecture 131 DEMO: Create a New Environment

Lecture 132 Sentiment Analysis with LLMs

Lecture 133 DEMO: Basic Sentiment Analysis Pipeline

Lecture 134 DEMO: Timing, Logging and Device Setup

Lecture 135 DEMO: Compare Sentiment Scores

Lecture 136 PRO TIP: Speed Up Transformers Code

Lecture 137 ASSIGNMENT: Sentiment Analysis with LLMs

Lecture 138 SOLUTION: Sentiment Analysis with LLMs

Lecture 139 Named Entity Recognition

Lecture 140 DEMO: Basic NER Pipeline

Lecture 141 DEMO: Hugging Face Model Hub

Lecture 142 DEMO: Clean NER Output

Lecture 143 ASSIGNMENT: Named Entity Recognition

Lecture 144 SOLUTION: Named Entity Recognition

Lecture 145 Zero-Shot Classification

Lecture 146 DEMO: Zero-Shot Classification

Lecture 147 ASSIGNMENT: Zero-Shot Classification

Lecture 148 SOLUTION: Zero-Shot Classification

Lecture 149 Text Summarization

Lecture 150 DEMO: Basic Text Summarization Pipeline

Lecture 151 DEMO: Multiple Pipelines

Lecture 152 ASSIGNMENT: Text Summarization

Lecture 153 SOLUTION: Text Summarization

Lecture 154 PRO TIP: Text Generation

Lecture 155 Document Embeddings

Lecture 156 Cosine Similarity

Lecture 157 Document Similarity with Embeddings

Lecture 158 DEMO: Feature Extraction & Embeddings

Lecture 159 DEMO: Cosine & Document Similarity

Lecture 160 PRO TIP: Recommender Function

Lecture 161 ASSIGNMENT: Document Similarity

Lecture 162 SOLUTION: Document Similarity

Lecture 163 Key Takeaways

Section 9: NLP Review & Next Steps

Lecture 164 NLP Review & Flow Chart

Lecture 165 NLP Next Steps

Lecture 166 BONUS LESSON

Aspiring Data Scientists who want a practical overview of natural language processing techniques in Python,Seasoned Data Scientists looking to learn the latest NLP techniques, such as Transformers, LLMs and Hugging Face

Released: 10/2023 Duration: 13m | .MP4 720×1280, 30 fps(r) | AAC, 48000 Hz, 2ch | 51 MB Level: General | Genre: eLearning | Language: English​

Welcome to our Nano Tips series, where LinkedIn Learning creators deliver impactful lessons in literally seconds. In this course, Lachezar Arabadzhiev shares tips for using ChatGPT, particularly focusing on the logic of the prompts for technical scenarios. Learn how to break down the elements of a prompt, the importance of transitioning from a traditional search-based approach to a prompt mindset, and how to formulate relatable analogies for intricate technical ideas to simplify comprehension. Plus, discover how to supercharge your prompts with GPT-4 Plugins, generate sample datasets for demos and presentations, and much more.

Bead Stitching: Shaped Peyote
Posted by Nancy Cain
Topic : Beading (techniques)
Type of material distributed : Video lesson
Language : En
Duration : 2 hours 38 minutes.
Translation : Absent
Subtitles : None
Link to video course on the manufacturer’s website : Code:Copy to clipboard

https://www.craftsy.com/class/bead-stitching-shaped-peyote

Bead Stitching: Shaped Peyote
Description :
Nancy works her way through creating a basic channel bead, working with larger beads for ease of viewing. You can weave along with it in your own projects using more traditional beads. Once you’ve mastered building round walls and decorating beads with crystals, you’ll move on to square beads and learn how to connect squares using loops and clasps to make a stunning bracelet. Finally, Nancy demonstrates how to create triangle mosaic beads, decorate them with beaded fringe, and add loops and wire for earrings. Create eye-catching decorations that will delight everyone.
About
Nancy stitches her way through the creation of a basic channel bead, working with larger beads for easy viewing. You’ll be able to stitch along with her on your own projects using more traditional beads. Once you’ve mastered building circular walls and embellishing your beads with crystals, you’ll move on to the square beaded bead, and learn how to join your squares with loops and clasps to make a stunning bracelet. Finally, Nancy demonstrates how to create triangular peyote-stitch beads, embellish them with beaded fringe and add bails and earring wires. Create eye-catching jewelry pieces that will be admired by all Sign up for "Bead Stitching: Shaped Peyote" today!

Contents
01 – Shaped Peyote Basics – 15:20
Meet your instructor, Nancy Cain, as she introduces you to shaped peyote. Learn about the importance of thread selection and some of the most common problems you will face, and how to fix them.
02 – Creating Walls – 26:54
Learn how to create walls, the cornerstone of shaped peyote. Nancy will lead you step by step through the process of building your wall, stitching in the ditch and zippering the walls for perfect tension.
03 – Embellishing – 18:05
Make your designs shine as you learn how to embellish using crystals and create the three-bead picot.
04 – Making a Square – 30:40
Expand your shaped peyote skills by turning your circles into squares. Learn how to build a square, remove unwanted beads, stitch in the ditch and zipper for tight corners.
05 – Creating a Bracelet – 19:50
Build out your jewelry box as you learn to embellish your square design, size your bracelet and add a clasp.
06 – Triangular Variations – 27:20
Your shaped peyote education continues as you learn the triangular variation to this technique. Learn how to add crystals, make a bail and even create fringe. Also, learn how to add earring wires to make dangling works of art.
07 – Design Variations – 8:23
Now that you’ve mastered shaped peyote, it’s time to learn where you can take it in your own designs. Nancy discusses how to work with various bead sizes and shapes and how to incorporate color into your designs.
08 – Bonus: Flat Peyote Stitch – 11:48
Nancy takes you back to the beginning, teaching you the essential peyote flat stitch. Perfect for novices or those needing a refresher, once you master this stitch, you’ll be ready for the rest of Nancy’s techniques!

Quality : WEBRip
Format : MP4
Video codec : AVC1
Audio codec : AAC LC
Video : MPEG-4, 1920×1080 px, 30 fps, ~2100-2150 kb/s
Audio : 44.1 KHz, 2 channels, 96 kb/s

Nancy Cain – Bead Stitching – Shaped Peyote (2.48 GB)
RapidGator Link(s)
Code:Copy to clipboard

https://rapidgator.net/file/450eb634392834f37aae04987587fa91/Nancy.Cain.-.Bead.Stitching.-.Shaped.Peyote.part1.rar
https://rapidgator.net/file/fe752fde6288c8f46bf06dc751524bca/Nancy.Cain.-.Bead.Stitching.-.Shaped.Peyote.part2.rar

Drop Link(s)
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https://drop.download/gom8qahtsdwv/Nancy.Cain.-.Bead.Stitching.-.Shaped.Peyote.part1.rar
https://drop.download/7lr8ofnd8kx5/Nancy.Cain.-.Bead.Stitching.-.Shaped.Peyote.part2.rar

Last updated 3/2026 MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 10h 44m | Size: 15.95 GB​

Learn AI Automation with n8n fast, step by step and effective. From the simple fundamentals to building real AI Systems

What you’ll learn
How to understand n8n from the ground up and confidently build workflows from scratch.
How to set up n8n in the cloud and in a self hosted environment step by step.
How to design logical automation workflows that solve real business problems.
How to integrate AI and large language models into n8n workflows in a practical way.
How to write effective prompts so AI behaves reliably inside automations.
How to connect n8n with external tools and services using APIs.
How to think like an automation builder and turn ideas into working systems.
How to install and setup Anthropic’s Claude Code so it can build n8n workflows for you.
How to test, improve, and stabilize workflows for real world usage.
How to build production ready AI automations that go beyond simple examples.
How to use AI automation skills to support your own business or offer services to clients.

Requirements
You DON’T need a special computer as we do everything in cloud solutions.
I walk you through everything else we need step by step.

Description
Do you want to truly understand AI automation with n8n and build real and useful workflows from scratch, even if you have no coding or technical background?

Then this n8n Masterclass is a great fit for you.

In this course, I teach AI automation from the ground up using n8n as the core tool. Step by step, you learn how to build powerful workflows that automate real business processes. The focus is on practical systems that are actually used in real projects, without theory overload or unnecessary complexity.

My name is Dominik, and I did not come from a traditional developer or IT background. I learned n8n by building AI automations for real companies, and this course is based entirely on that experience. You will not only learn how to build workflows, but also how to think like an automation builder.

We start simple and increase complexity gradually. You learn what n8n is, how it works, and how to set it up in the cloud or in a self hosted environment. From there, we move into practical examples that teach all core n8n concepts in a clear and logical order, so the learning process stays easy to follow.

At the end off the course I added an entire dedicated chapter about Claude Code and how to use it to build n8n workflows. Claude Code is insanely powerful and within that course I give you the entire setup so it can even build n8n workflows for you.

A major focus of this course is working with AI and large language models. You learn how to write effective prompts, how to integrate AI into n8n workflows, and how to combine AI with APIs and external tools to create powerful automations.

The course also teaches how to design automation processes, test and improve workflows, and turn them into stable systems. I also share my personal approach to getting first paying AI automation clients and how to handle early conversations.

By the end of this course, you will understand how to build your own AI automations from scratch and how to apply these skills in real business scenarios.

Who this course is for
The course is for anyone who wants to learn AI automation from scratch using n8n without needing a technical background.
The course is for business owners and freelancers who want to automate processes and save time using AI.
The course is for creators and builders who want to understand how automation workflows actually work behind the scenes.
The course is for anyone who wants to design and build their own AI powered automations instead of copying templates.
The course is for beginners who want a structured and easy to follow introduction to n8n and AI automation.
The course is also for more advanced users who want a clear framework for building better and more reliable automations.
The course is for anyone who wants to turn automation skills into a business opportunity.
The course is for anyone who wants to get an introduction to building n8n workflows with Claude Code.

Must-Have Tools for IT Support: Remote Access, AI, and Troubleshooting
.MP4, AVC, 1280×720, 30 fps | English, AAC, 2 Ch | 1h 1m | 134 MB
Instructor: Jason Gooley​

In today’s fast-paced digital world, IT support professionals need both strong technical knowledge and the right tools to deliver fast, secure, and effective support from anywhere. This comprehensive course teaches how to use essential IT support and remote desktop tools to manage devices remotely, solve complex issues, and provide real-time support. It covers how to use popular remote access tools such as RDP (Remote Desktop Protocol), Cisco Webex, TeamViewer, Virtual Network Computing (VNC), and pcAnywhere.

Discover how each tool fits different support scenarios. Learn how to use AI-powered support tools, technical forums, and search engines to research and resolve IT problems more efficiently, exploring how narrow AI, predictive AI, and generative AI can transform help-desk operations. Additionally, review security, privacy, and ethical factors to consider when using public data sources and remote access tools. Whether you are just starting in IT support or looking to enhance your skills with modern tools and best practices, this course provides techniques you can apply right away.

Learning objectives

[]Describe the differences and similarities of leading remote access and troubleshooting tools.
[]Explain the process involved to set up and use common remote access tools for technical support tasks.
[]Initiate and manage a remote session to help troubleshoot and resolve user issues.
[]Apply search strategies using knowledge base articles, technical forums, and search engines to diagnose and fix IT problems.
[]Describe the role of artificial intelligence in IT support, including the use of narrow, predictive, and generative AI tools.
[]Evaluate the security, privacy, and ethical risks associated with using public data sources and AI for IT troubleshooting.

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