NulledCodeSolutions.online

Released 3/2026 By Sean Wilkins MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 29m 12s | Size: 242 MB​

Security teams rely on dashboards built from normalized telemetry, not raw packet captures.

What you’ll learn
Security teams rely on dashboards built from normalized telemetry, not raw packet captures. In this course, Specialized Security Analysis: Data Visualization, you’ll learn how to transform noisy security logs into investigation-ready visualizations that support triage and repeatable analysis. First, you’ll generate IDS detections and protocol context from controlled lab traffic to create a consistent dataset. Next, you’ll establish a baseline to separate meaningful signal from common noise, applying cleaning and normalization first through CLI validation and then through a repeatable ETL pipeline. Finally, you’ll configure the minimal Elastic Stack components needed for visualization, create Kibana data views for Suricata and Zeek telemetry, and build a dashboard that highlights trends, distributions, geospatial activity, and relationship concentration. When you’re finished with this course, you’ll have the skills and knowledge to convert raw security telemetry into structured dashboards that support investigation workflows similar to those used by real security teams.

Welcome to Check it Every Days
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Specflow Bdd: C# Testing Mastery
Published 1/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.19 GB | Duration: 5h 55m​

Unlock the Power of Behavior-Driven Development in C# with Specflow: Master Automation Testing & Boost Software Quality

What you’ll learn

Automation Testing

SpecFlow in C# from basics to advanced

Learn best practices from true programmers

Learn how to write scalable, readable and maintainable clean code

You will learn source code of the tutor. All homework is completed with the Trainer

Visual Studio

NUnit3

SpecFlow Basics

Specflow in C#

NuGet Packages Basics

Requirements

A computer with access to the internet

Basic knowledge of C#

Description

Welcome to the ultimate guide to mastering Behavior-Driven Development (BDD) with Specflow in C#!In this comprehensive course, you will embark on a journey to become a testing maestro, seamlessly integrating Specflow into your C# projects. Whether you’re a seasoned developer or just starting, this course is your key to unlocking the full potential of BDD for automated testing.What You’ll Learn:Foundations of BDD: Grasp the core concepts and principles behind Behavior-Driven Development.Hands-On C# Implementation: Dive deep into C# as you learn to implement Specflow in real-world projects.Practical Test Automation: Master the art of creating robust and maintainable automated tests using Specflow.Integration and Best Practices: Seamlessly integrate BDD into your development workflow and apply industry best practices.Why Enroll:Expert Guidance: Learn from industry experts with years of experience in Specflow and BDD.Career Advancement: Boost your resume with valuable automation testing skills.Project-Based Learning: Gain practical experience through hands-on projects and exercises.Lifetime Access: Access to course materials and updates for a lifetime.Who Is This For:Software Developers and EngineersQA Engineers and TestersAnyone looking to enhance their testing skills with Specflow BDD in C#By the end of this course, you’ll be equipped with the knowledge and skills to confidently implement Specflow in your C# projects, ensuring robust, efficient, and high-quality software development.Join us now, and let’s embark on this journey to elevate your testing expertise!Enroll today and take the first step towards becoming a Specflow BDD master!

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Communication Plan

Lecture 3 Tips to improve your course taking experience

Section 2: Course Materials

Lecture 4 What is the project we will work on?

Lecture 5 What will we achieve in the end?

Section 3: BDD Overview

Lecture 6 What is BDD?

Lecture 7 Real life samples from BDD

Lecture 8 Home task review BDD

Lecture 9 What is SpecFlow BDD in C#

Section 4: Development Environment Setup

Lecture 10 Visual Studio Community Edition Installation

Lecture 11 .NET 6 – Installation

Section 5: Test migration from NUnit to SpecFlow

Lecture 12 Setup right structure of project, folders, add dependency

Lecture 13 Create simple scenario to add two numbers

Lecture 14 Move simple Get Board scenario to BDD format in one single class

Lecture 15 Move simple Get Board scenario to BDD format in one single class – Hometask

Section 6: C# SpecFlow Basics

Lecture 16 Remove test data from steps, step arguments

Lecture 17 Remove test data from steps, step arguments – Hometask

Lecture 18 Data tables for couple parameters in steps

Lecture 19 Data tables for couple parameters in steps – Hometask

Lecture 20 Outlines

Lecture 21 Outlines – Hometask

Lecture 22 Backgrounds

Section 7: C# SpecFlow Advanced

Lecture 23 Ways to share data between steps

Lecture 24 Ways to share data between steps – Hometask

Lecture 25 Step arguments transformers

Lecture 26 Step arguments transformers – Hometask

Lecture 27 Hooks and tags

Lecture 28 Hooks and tags – Hometask

Section 8: Extra: Cmd Tests Run and Reports

Lecture 29 Run tests via CMD

Lecture 30 Extent Reports

People who want to learn SpecFlow BDD from scratch to advanced level,Students who want to become more valuable SDETs on careers market

Spark And Python For Big Data With Pyspark
Last updated 5/2020
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.47 GB | Duration: 10h 35m​

Learn how to use Spark with Python, including Spark Streaming, Machine Learning, Spark 2.0 DataFrames and more!

What you’ll learn
Use Python and Spark together to analyze Big Data
Learn how to use the new Spark 2.0 DataFrame Syntax
Work on Consulting Projects that mimic real world situations!
Classify Customer Churn with Logisitic Regression
Use Spark with Random Forests for Classification
Learn how to use Spark’s Gradient Boosted Trees
Use Spark’s MLlib to create Powerful Machine Learning Models
Learn about the DataBricks Platform!
Get set up on Amazon Web Services EC2 for Big Data Analysis
Learn how to use AWS Elastic MapReduce Service!
Learn how to leverage the power of Linux with a Spark Environment!
Create a Spam filter using Spark and Natural Language Processing!
Use Spark Streaming to Analyze Tweets in Real Time!
Requirements
General Programming Skills in any Language (Preferrably Python)
20 GB of free space on your local computer (or alternatively a strong internet connection for AWS)
Description
Learn the latest Big Data Technology – Spark! And learn to use it with one of the most popular programming languages, Python!
One of the most valuable technology skills is the ability to analyze huge data sets, and this course is specifically designed to bring you up to speed on one of the best technologies for this task, Apache Spark! The top technology companies like Google, Facebook, Netflix, Airbnb, Amazon, NASA, and more are all using Spark to solve their big data problems!
Spark can perform up to 100x faster than Hadoop MapReduce, which has caused an explosion in demand for this skill! Because the Spark 2.0 DataFrame framework is so new, you now have the ability to quickly become one of the most knowledgeable people in the job market!
This course will teach the basics with a crash course in Python, continuing on to learning how to use Spark DataFrames with the latest Spark 2.0 syntax! Once we’ve done that we’ll go through how to use the MLlib Machine Library with the DataFrame syntax and Spark. All along the way you’ll have exercises and Mock Consulting Projects that put you right into a real world situation where you need to use your new skills to solve a real problem!
We also cover the latest Spark Technologies, like Spark SQL, Spark Streaming, and advanced models like Gradient Boosted Trees! After you complete this course you will feel comfortable putting Spark and PySpark on your resume! This course also has a full 30 day money back guarantee and comes with a LinkedIn Certificate of Completion!
If you’re ready to jump into the world of Python, Spark, and Big Data, this is the course for you!

Overview

Section 1: Introduction to Course

Lecture 1 Introduction

Lecture 2 Course Overview

Lecture 3 Frequently Asked Questions

Lecture 4 What is Spark? Why Python?

Section 2: Setting up Python with Spark

Lecture 5 Set-up Overview

Lecture 6 Note on Installation Sections

Section 3: Databricks Setup

Lecture 7 Recommended Setup

Lecture 8 Databricks Setup

Section 4: Local VirtualBox Set-up

Lecture 9 Local Installation VirtualBox Part 1

Lecture 10 Local Installation VirtualBox Part 2

Lecture 11 Setting up PySpark

Section 5: AWS EC2 PySpark Set-up

Lecture 12 AWS EC2 Set-up Guide

Lecture 13 Creating the EC2 Instance

Lecture 14 SSH with Mac or Linux

Lecture 15 Installations on EC2

Section 6: AWS EMR Cluster Setup

Lecture 16 AWS EMR Setup

Section 7: Python Crash Course

Lecture 17 Introduction to Python Crash Course

Lecture 18 Jupyter Notebook Overview

Lecture 19 Python Crash Course Part One

Lecture 20 Python Crash Course Part Two

Lecture 21 Python Crash Course Part Three

Lecture 22 Python Crash Course Exercises

Lecture 23 Python Crash Course Exercise Solutions

Section 8: Spark DataFrame Basics

Lecture 24 Introduction to Spark DataFrames

Lecture 25 Spark DataFrame Basics

Lecture 26 Spark DataFrame Basics Part Two

Lecture 27 Spark DataFrame Basic Operations

Lecture 28 Groupby and Aggregate Operations

Lecture 29 Missing Data

Lecture 30 Dates and Timestamps

Section 9: Spark DataFrame Project Exercise

Lecture 31 DataFrame Project Exercise

Lecture 32 DataFrame Project Exercise Solutions

Section 10: Introduction to Machine Learning with MLlib

Lecture 33 Introduction to Machine Learning and ISLR

Lecture 34 Machine Learning with Spark and Python with MLlib

Section 11: Linear Regression

Lecture 35 Linear Regression Theory and Reading

Lecture 36 Linear Regression Documentation Example

Lecture 37 Regression Evaluation

Lecture 38 Linear Regression Example Code Along

Lecture 39 Linear Regression Consulting Project

Lecture 40 Linear Regression Consulting Project Solutions

Section 12: Logistic Regression

Lecture 41 Logistic Regression Theory and Reading

Lecture 42 Logistic Regression Example Code Along

Lecture 43 Logistic Regression Code Along

Lecture 44 Logistic Regression Consulting Project

Lecture 45 Logistic Regression Consulting Project Solutions

Section 13: Decision Trees and Random Forests

Lecture 46 Tree Methods Theory and Reading

Lecture 47 Tree Methods Documentation Examples

Lecture 48 Decision Tress and Random Forest Code Along Examples

Lecture 49 Random Forest – Classification Consulting Project

Lecture 50 Random Forest Classification Consulting Project Solutions

Section 14: K-means Clustering

Lecture 51 K-means Clustering Theory and Reading

Lecture 52 KMeans Clustering Documentation Example

Lecture 53 Clustering Example Code Along

Lecture 54 Clustering Consulting Project

Lecture 55 Clustering Consulting Project Solutions

Section 15: Collaborative Filtering for Recommender Systems

Lecture 56 Introduction to Recommender Systems

Lecture 57 Recommender System – Code Along Project

Section 16: Natural Language Processing

Lecture 58 Introduction to Natural Language Processing

Lecture 59 NLP Tools Part One

Lecture 60 NLP Tools Part Two

Lecture 61 Natural Language Processing Code Along Project

Section 17: Spark Streaming with Python

Lecture 62 Introduction to Streaming with Spark!

Lecture 63 Spark Streaming Documentation Example

Lecture 64 Spark Streaming Twitter Project – Part

Lecture 65 Spark Streaming Twitter Project – Part Two

Lecture 66 Spark Streaming Twitter Project – Part Three

Section 18: Bonus

Lecture 67 Bonus Lecture:

Someone who knows Python and would like to learn how to use it for Big Data,Someone who is very familiar with another programming language and needs to learn Spark

Solidworks: A Quick Beginners Course 2021-23
Published 1/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.69 GB | Duration: 6h 26m​

Learn Part Design, Assembly, Simulation & Drawings with Practical Examples, Quizzes & Hands-On Training.

What you’ll learn

Confidently able to create Basic & Complex parts.

Able to apply colors, textures, materials parts.

Able to make Assembly and able to simulate them.

Able to make drawings of both parts and assembly.

Project Works for Better Understanding.

Requirements

No prior knowledge required, just need desire to learn.

Any Version of SolidWorks after 2013.

Description

This is a full-length Quick course on SolidWorks Basic. This course will take you on a journey from nothing to a "Professional SolidWorks Designer." We have tried to make this course such that it will guide you through all the important topics that is necessary for you to get started with SolidWorks, This course is made on SolidWorks 2021. Since it’s a completely new version in SolidWorks so you will not face any problem with the older version as well as the new version. Why you should take this course?Firstly this course is made by the professional expert, who has more than 5 years of teaching experience and he knows how to make student understand every tools and topics.There are 60+ Lectures covering almost all the tools that is important for Modelling in SolidWorks.This Course is made using SolidWorks 2021 which is having the latest interface, this will help you in understanding the new interface of SolidWorks.We keep on upgrading this course according to the feedback of the students, and all the upgrades are always free once you enrolled.This course contains a lot of practical examples that will help you learning in a better way.Topics That We Cover In this Course.Sketcher: We will learn basic tools that are required for sketching your 2D Designs, We will learn about basic shapes, basic modification tools, and some advanced toolsPart Design: This Module is the most important section in SolidWorks Since part modeling is what SolidWorks is famous for, So in this section, we will spend a little more time learning all the basics of part modeling in SolidWorks.Assembly Designs: Assembly is yet another important topic in which we will learn how to assemble parts and sub-assemblies to create a complete product. Here we will be going to use different constraints for our assemblies, we are also going to learn the basic of simulations.Drafting: In this, we will going to learn to produce our model into the drawing sheets with different views, like Standard Views, Section Views, etc. We are also going to see various annotations like Dimension, text, etc.Overview of What you will learn?Brief understanding of the interface of the SolidWorks.How to create sketches using different sketch tools.How to use relations to define your sketch.How to create solid models with different Modelling tools like, Extrude, Revolve, Loft, etc.How to create User Defined references, like Reference Plane, Points & Line.How to apply textures of metals, plastics, rubber, etc. to the parts and product.How to use Different Pattern tools available in SolidWorks.We will cover some advance modelling tools, like Lofted Boss/Cuts, Multi-Shell, Helix, etc.How to assemble the parts in Assembly design workbench.After Assembly, we will simulate the product with Motion Study Interface.Finally we end this course with Drafting, we create standard drafting using First & Third angle projections.We will see different view tools, like Section View, Projection View, etc.We will learn different annotations like dimensions, text, leader.We will also learn to create Assembly drafting.So, Overall it’s a good course to learn SolidWorks. And Don’t worry about your doubts, we are always there to help you during this course, Just Ask!

Overview

Section 1: Introduction

Lecture 1 Line Command.

Lecture 2 Smart Dimensions.

Lecture 3 Circle, Rectangle Command

Lecture 4 Exercise: Our First Exercise.

Lecture 5 Mouse Handling & Workspace Accessories.

Lecture 6 Arcs, Ellipses & Shots.

Lecture 7 Editing Tools: Trim, Offset & Mirror.

Lecture 8 Editing Tools: Patterns, Copy, Move, Rotate & Scale.

Lecture 9 Undefined, Fully Defined & Over defined Sketches.

Lecture 10 Use of Relations.

Lecture 11 Exercise: Use of Relations and Patterns

Lecture 12 Exercise: Creating a Fully Defined Sketch.

Section 2: Let’s Learn About Part Designs.

Lecture 13 Extruded Boss/Base & Extruded Cut

Lecture 14 Properties of Extrude.

Lecture 15 Display & Parametric Features.

Lecture 16 Adding Fillets.

Lecture 17 Adding Chamfers.

Lecture 18 Revolved Boss/Base & Revolved Cut.

Lecture 19 Creating Shell & Multi-Shell.

Lecture 20 Using Section View.

Section 3: Let’s Play With Model Appearance.

Lecture 21 Adding or Changing Model Color.

Lecture 22 Adding Textures of Different Materials

Section 4: Let’s Learn Advance Modeling Tools.

Lecture 23 Convert Entities.

Lecture 24 Creating Rib Features.

Lecture 25 Linear and Circular Patterns.

Lecture 26 Some More Types of Patterns.

Lecture 27 Mirror Command.

Lecture 28 Creating Reference Planes.

Lecture 29 Swept Boss/Base & Swept Cut.

Lecture 30 Creating Helix with Sweep.

Lecture 31 Use of "Hole Wizard".

Section 5: Let’s Start Assembly.

Lecture 32 Introduction to an Assembly.

Lecture 33 Creating Our First Assembly.

Lecture 34 Concept of Fix & Float.

Lecture 35 Learning Standard Mates.

Lecture 36 Toolbox Component.

Lecture 37 Design Library.

Section 6: Project Work: Assembly and Simulating of Spur Gear.

Lecture 38 An Introduction.

Lecture 39 Importing a Spur Gear.

Lecture 40 Creating a Reference Frame.

Lecture 41 Assembly of Spur Gear.

Lecture 42 Assembly with Different Gear Ratio.

Lecture 43 Finally: Creating Gear Simulation.

Section 7: Let’s Learn Drafting.

Lecture 44 Introduction to Drafting.

Lecture 45 Importing Standard Views.

Lecture 46 Working with Scales.

Lecture 47 Model View, Projected View & Auxiliary View.

Lecture 48 Creating Section Views.

Lecture 49 Dimensions & Auto-Dimensions.

Lecture 50 Adding a Note.

Lecture 51 Editing Sheet Format.

Section 8: Let’s Learn Assembly Drafting.

Lecture 52 Introduction to Assembly Drafting.

Lecture 53 Creating Exploded View.

Lecture 54 Balloons & Auto Balloons.

Lecture 55 Creating Bill of Materials.

Lecture 56 Filling out Vacant Sections.

Individuals intending to learn the basics of SOLIDWORKS,Individuals who wants to get started with 3D modeling,Individuals wanting to get a better job via SOLIDWORKS skills,Designers, Engineers, Makers, and Hobbyist,Individuals who want to create their carrier in Product Design & Development.,HVAC Designers, Press Tool, 3D Printing.

Published 6/2025 Created by Tayseer Almattar MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 82 Lectures ( 4h 56m ) | Size: 2.55 GB​

Start Your SOLIDWORKS Journey from Zero: Practical Projects, Expert Support, and Proven Design Methods

What you’ll learn
Confidently navigate the SOLIDWORKS interface and utilize essential tools for sketching, modeling, and assembling parts.
Create and modify 2D sketches and 3D models using a variety of features such as extrude, revolve, sweep, loft, fillet, and chamfer.
Build and manage assemblies by applying mates and constraints to combine multiple components into functional designs.
Generate professional 2D engineering drawings that clearly communicate design intent, including views, dimensions, annotations, and drawing standards.

Requirements
There are no prior skills or experience required to take this course!
A willingness to learn and explore

Description
Master SOLIDWORKS from the Ground UpThis expertly designed course offers a structured and practical pathway for individuals with no prior experience in SOLIDWORKS to develop the skills and knowledge expected to become a Certified SOLIDWORKS Associate (CSWA). Through a hands-on, learn-by-doing methodology, learners will gain the confidence to use SOLIDWORKS in designing innovative solutions and proudly showcase their proficiency on their resumes.Note: This is not a shortcut to certification. The course emphasizes skill mastery through practical application, ensuring participants are fully prepared for the certification exam.What This Course Offers:Hands-On Learning Approach: You’ll engage in a wide range of practical exercises and real-world projects designed to help you build confidence and competence in using SOLIDWORKS.Expert Support: Throughout the course, you’ll have access to experienced instructors and professionals who are ready to answer your questions, clarify concepts, and guide you through challenges.Passionate Learning Community: You’ll become part of a dynamic community of passionate learners and designers, all working together to push the boundaries of innovation and creativity.Engaging and Comprehensive Topics: The course covers a broad spectrum of SOLIDWORKS functionalities-from sketching and modeling to assemblies and technical drawings-ensuring you gain a well-rounded understanding of the software.Best Practices in Design and Modeling: You’ll learn industry-relevant techniques and best practices that will elevate the quality and efficiency of your design work.Start your journey toward becoming a SOLIDWORKS professional today – no prior experience required. All you need is access to the SOLIDWORKS software.Why Choose This Course?Expert Instruction from Tayseer Almattar, author of the acclaimed "Learn SOLIDWORKS" series published by Packt.Community Support through an exclusive student forum and expert Q&A.Optimized Learning Experience with enlarged interface icons, annotated lectures, and clearly focused video segments.Modular Design – each lecture is self-contained for easy reference and review.Skills You Will Acquire:Navigating the SOLIDWORKS interface with ease.Creating and defining sketches using various commands and constraints.Utilizing over 10 key features to build 3D models (e.g., extrude, revolve, sweep, loft).Generating reference planes and modifying parts to meet design requirements.Exploring material properties and calculating mass, volume, and center of gravity.Assembling components and producing detailed technical drawings.Interpreting drawing annotations and documentation standards.Take the first step toward mastering SOLIDWORKS today. Click the "Enroll Now" button and begin building the skills that will power your next great creation.

Who this course is for
Complete beginners with no prior experience in SOLIDWORKS or 3D design
Professionals in design, manufacturing, or product development seeking to add SOLIDWORKS to their skill set
Hobbyists, makers, and tinkerers who want to bring their ideas to life through 3D modeling
Students and engineering learners looking to build a strong foundation in CAD and prepare for the Certified SOLIDWORKS Associate (CSWA) exam
Anyone curious about how digital products are designed and assembled

Welcome to – Check it Every Days
If you have any troubles with downloading, PM me

Happy Learning!!

Skill Up with Python: Introduction
MP4 | Video: AVC 1280×720 | Audio: AAC 44KHz 2ch | 3 Hours Duration | 4.78 GB
Genre: eLearning | Language: English​

Video
description
3 Hours of Video Instruction
Explore the fundamentals of Python syntax, data types, control flow, and functions while constructing projects.
Overview:
Python is like a Swiss Army knife for programming. It’s a versatile and powerful language that can be used for a wide range of tasks. Just like a Swiss Army knife has various tools that help you in different situations, Python has a toolbox of features and libraries that make it useful for different purposes. It’s also widely recognized as the best programming language for beginners due to its wide range of uses and straightforward syntax.
Python’s versatility and large community support make it an excellent language for beginners to kickstart their programming journey. Skill Up with Python is a beginner course that offers a hands-on approach to learning Python by building a series of practical projects from scratch.
Related Learning:
Watch and learn from Shaun’s other videos:
Functional Programming Project with Python 3 (Video Course)
Please don’t hesitate to get in touch with him about any opportunities or if you’d like to stay up to date on his other courses and live trainings.
About the Instructor:
Shaun Wassell
is a Senior Software Developer who specializes in full-stack development and software architecture. He manages teams of developers, as well as teaches many hundreds of thousands more how to create enterprise-ready applications. Shaun’s online courses have over 300,000 learners largely because of his passion for development and his focus on helping people apply their programming skills in the real world. He is a life-long programmer and problem-solving addict whose goal is to help people solve meaningful problems by mastering the art of software development.
Skill Level:
Beginner
What You Will Learn:
Practical and Hands-On Learning Experience: Learners are provided with the opportunity to build real-world projects, enabling them to apply their knowledge immediately.
Creative and Engaging Approach: By building a variety of projects across different domains, learners are encouraged to think critically, problem-solve, and apply their creativity.
Versatility and Broad Skill Development: The project-based Python course covers a range of projects in different areas. This versatility appeals to learners with diverse interests and career aspirations.
Who Should Take This Course:
Software Developer
Data Analyst/Scientist
Machine Learning Engineer
Web Developer
DevOps Engineer
Course Requirements:
Some basic knowledge of programming, perhaps some web dev or JavaScript experience.
About Pearson Video Training
:
Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, Sams, and Que. Topics include IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more. Learn more about Pearson Video training at
http://www.informit.com/video
.

Year of release : January 2025
Producer : Pearson via O’Reilly Learning
Manufacturer’s website : Code:Copy to clipboard

https://learning.oreilly.com/course/site-reliability-engineering/9780135415016/

Author : Karun Subramanian
Duration : 4h 9m
Type of material distributed : Video lesson
Language : En

Description :
Master the essentials of Site Reliability Engineering to effectively manage production systems with real-world insights and techniques.
Unlock the power of Site Reliability Engineering (SRE) with this comprehensive video course. SRE is a critical discipline that combines software engineering with IT operations to ensure high system reliability, scalability, and performance. This course provides a deep dive into the core principles and practices of SRE, equipping you with the tools to build reliable systems and improve operational efficiency.
The course covers key SRE concepts, including Service Level Objectives (SLOs), Service Level Indicators (SLIs), and error budgets, with practical examples that help you apply these principles to your own organization. You will learn how to build and optimize a robust monitoring and observability system using essential telemetry data, such as logs, metrics, and traces. Through an in-depth exploration of observability platforms, you will learn how to effectively monitor and maintain system health.
The course also addresses crucial aspects of incident management, such as managing on-call duties, running war rooms for critical incidents, and conducting blameless postmortems to learn from failures. Gain insights into reliable system architecture patterns, such as load balancing, auto-scaling, and the CAP theorem, to ensure your infrastructure remains resilient under high traffic.
Additionally, you will discover release management strategies that minimize user impact during deployments, monitor your CI/CD pipeline, and ensure progressive rollouts. The course also guides you through implementing SRE practices within your organization, including setting up a central SRE team and conducting production readiness reviews to ensure your systems are always production ready.
By the end of this course, you will have a solid understanding of SRE best practices and the knowledge to enhance the reliability and scalability of your systems while reducing downtime and improving overall operational efficiency.
Learn How To:
Set a strong foundation by implementing core Site Reliability Engineering (SRE) principles to ensure system reliability and performance.
Build and optimize a robust monitoring and observability system using essential telemetry data such as logs, metrics, and traces.
Monitor system health effectively through observability platforms to maintain optimal system performance.
Apply Service Level Objectives (SLOs), Service Level Indicators (SLIs), and error budgets to improve system reliability and performance.
Manage incidents effectively, run war rooms for critical situations, and conduct blameless postmortems to learn from failures.
Design reliable system architectures, including load balancing, auto-scaling, and implementing the CAP theorem for system resilience.
Minimize user impact during software deployments by using release management strategies and ensuring progressive rollouts.
Monitor your CI/CD pipeline to detect issues early and ensure smooth, efficient deployments.
Implement SRE practices within your organization, including setting up a central SRE team and conducting Production Readiness Reviews to ensure systems are always production ready.
Who Should Take This Course:
This course is designed for Site Reliability Engineers, DevOps engineers, application support engineers, software engineers and architects, as well as managers and directors of software engineering teams.
Content
Introduction
Lesson 1 Introduction to Site Reliability Engineering
Lesson 2 Observability
Lesson 3 SLO, SLI, and SLA
Lesson 4 Incident Management, SRE Style
Lesson 5 Reliable System Architectures
Lesson 6 Release Management
Lesson 7 Implementing SRE
Lesson 8 Course Conclusion and Next Steps
Summary
Example files : none
Video format : MP4
Video : AVC, 1280×720, 16:9, 30,000 fps, 3,000 kb/s (0.017 bit/pixel)
Аудио: AAC, 44.1 KHz, 2 channels, 128 kb/s, CBR

Site Reliability Engineering Essentials (905.72 MB)
RapidGator Link(s)
Code:Copy to clipboard

https://rapidgator.net/file/ddd97f7e65871daf1964b29273198028/Site.Reliability.Engineering.Essentials.rar

ClickNUpload Link(s)
Code:Copy to clipboard

https://clicknupload.click/jxyc54du6uwj

SEO Tricks and Hacks Making Search Engines Work for You

File INFO:
Name: 5 Mobile Optimization
Format:mp4
Size: 1.12 GB
Duration:00:03:30 Click to expand…

Code:Copy to clipboard

https://rapidgator.net/file/44192260d7527ca910461866c90f38b1/SEO.Tricks.and.Hacks.Making.Search.Engines.Work.for.You.rar

Code:Copy to clipboard

https://drop.download/8hhhh66y4zk3/SEO.Tricks.and.Hacks.Making.Search.Engines.Work.for.You.rar

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Securing Generative AI
ISBN: 0135401801 | .MP4, AVC, 1280×720, 30 fps | English, AAC, 2 Ch | 3h 31m | 845 MB
Instructor: Omar Santos​

The Sneak Peek program provides early access to Pearson video products and is exclusively available to subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing.

Introduction

Securing Generative AI: Introduction

Lesson 1: Introduction to AI Threats and LLM Security

Learning objectives
1.1 Understanding the Significance of LLMs in the AI Landscape
1.2 Exploring the Resources for this Course – GitHub Repositories and Others
1.3 Introducing Retrieval Augmented Generation (RAG)
1.4 Understanding the OWASP Top-10 Risks for LLMs
1.5 Exploring the MITRE ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems) Framework

Lesson 2: Understanding Prompt Injection Insecure Output Handling

Learning objectives
2.1 Defining Prompt Injection Attacks
2.2 Exploring Real-life Prompt Injection Attacks
2.3 Using ChatML for OpenAI API Calls to Indicate to the LLM the Source of Prompt Input
2.4 Enforcing Privilege Control on LLM Access to Backend Systems
2.5 Best Practices Around API Tokens for Plugins, Data Access, and Function-level Permissions
2.6 Understanding Insecure Output Handling Attacks
2.7 Using the OWASP ASVS to Protect Against Insecure Output Handling

Lesson 3: Training Data Poisoning, Model Denial of Service Supply Chain Vulnerabilities

Learning objectives
3.1 Understanding Training Data Poisoning Attacks
3.2 Exploring Model Denial of Service Attacks
3.3 Understanding the Risks of the AI and ML Supply Chain
3.4 Best Practices when Using Open-Source Models from Hugging Face and Other Sources
3.5 Securing Amazon BedRock, SageMaker, Microsoft Azure AI Services, and Other Environments

Lesson 4: Sensitive Information Disclosure, Insecure Plugin Design, and Excessive Agency

Learning objectives
4.1 Understanding Sensitive Information Disclosure
4.2 Exploiting Insecure Plugin Design
4.3 Avoiding Excessive Agency

Lesson 5: Overreliance, Model Theft, and Red Teaming AI Models

Learning objectives
5.1 Understanding Overreliance
5.2 Exploring Model Theft Attacks
5.3 Understanding Red Teaming of AI Models

Lesson 6: Protecting Retrieval Augmented Generation (RAG) Implementations

Learning objectives
6.1 Understanding the RAG, LangChain, Llama Index, and AI Orchestration
6.2 Securing Embedding Models
6.3 Securing Vector Databases
6.4 Monitoring and Incident Response
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