Skill Up with Python: Introduction


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
.

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Site Reliability Engineering Essentials by Karun Subramanian

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)
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SEO Tricks and Hacks Making Search Engines Work for You

SEO Tricks and Hacks Making Search Engines Work for You

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Securing Generative AI


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
More Info

Securing ASP.NET Core 6 with OAuth2 and OpenID Connect


Securing ASP.NET Core 6 with OAuth2 and OpenID Connect
Duration: 9h 46m | .MP4 1280×720, 30 fps(r) | AAC, 48000 Hz, 2ch | 1.84 GB
Genre: eLearning | Language: English​

In this course you’ll learn how to secure your ASP.NET Core 6 web applications and APIs with today’s de facto standards: OAuth2 and OpenID Connect.

What you’ll learn
You’ve built a web application, an API, or both with ASP.NET Core 6, but. something seems to be missing: almost all applications need to be secured these days.

In this course, Securing ASP.NET Core 6 with OAuth2 and OpenID Connect, you’ll learn how to use today’s standards, OAuth2 and OpenID Connect, to secure ASP.NET Core 6 web applications and APIs.

You’ll learn what these standards are and how to implement them. After that, you’ll learn about authorization and authorization policies, storing your users and integrating with other identity providers. Finally, you’ll learn how to get ready for production and deploy your identity provider.

After this course you’ll know the ins and outs of securing ASP.NET Core 6 web applications and APIs with OAuth2 and OpenID Connect.

Please check out others courses in your favourite language and bookmark them
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Secure and Scale Kafka Deployments


Secure and Scale Kafka Deployments
Released 3/2026
By Shubham Sinha
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 10m 25s | Size: 137 MB​

Organizations rely on Kafka to move mission-critical data – but without proper security and scaling, it can quickly become a bottleneck or a vulnerability.

What you’ll learn
Organizations rely on Kafka to move mission-critical data – but without proper security and scaling, it can quickly become a bottleneck or a vulnerability.
In this course, Secure and Scale Kafka Deployments, you’ll gain the ability to harden and optimize Kafka clusters for production environments.
First, you’ll explore how to implement authentication and encryption to protect data in transit and verify secure connections.
Next, you’ll discover how to configure and manage access control using Kafka ACLs to enforce least-privilege and prevent unauthorized access.
Finally, you’ll learn how to scale Kafka clusters for performance and fault tolerance while applying security and operational best practices in production.
When you’re finished with this course, you’ll have the skills and confidence to secure, monitor, and scale Kafka deployments for real-world data pipelines.

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Secrets of Spoken English Fundamentals for Intermediates

Secrets of Spoken English Fundamentals for Intermediates

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Secret Management for Python


Secret Management for Python
.MP4, AVC, 1280×720, 30 fps | English, AAC, 2 Ch | 1h 12m | 270 MB
Instructor: Lee Allen​

What you’ll learn

All it takes is one missing control to turn a routine workflow into a costly and potentially embarrassing incident. In this course, Secret Management for Python, you will learn the core concepts and practical techniques needed to implement secret management patterns effectively.

First, you will explore what a secret is, why secret handling often fails in real systems, and why this all matters when your app meets real users. Next, you will compare .env files vs. environment variables and determine when each is appropriate so you can make the right choice consistently. Finally, you will learn to use python-dotenv safely in local development without leaking secrets to git, and how to apply it without turning your codebase into a maze.

When you’re finished with this course, you will be able to apply these techniques with clarity and confidence in your own projects.

Homepage

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SDET Java: Automation Testing from Scratch – Complete Guide


SDET Java: Automation Testing from Scratch – Complete Guide
Last updated 7/2024
Duration: 72h15m | .MP4 1280×720, 30 fps(r) | AAC, 44100 Hz, 2ch | 46.2 GB
Genre: eLearning | Language: English​

Practical guide to become Expert QA Automation Engineer (AQA) and SDET/Test Architect

What you’ll learn
Automation Testing
Learn the Java basics, including syntax and primitive data types
Selenium Webdriver from Basics to Advanced Level
Object-oriented programming
Advanced software engineering techniques
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
Learn how to use integrated development environments to create Java programs (Eclipse and Idea)
Debugging tools
Eclipse IDE
Intellij Idea
SOLID principles
Git
Java Collections Framework
Implementations of the List interface
Map Interface and Implementations
Set Interface and Implementations
Best practices of using collections in Java
Performance comparision of different collections
Functional programming in Java
Lambda functions
Method references
Clean Architecture Design
GoF Patterns (Creational, Structural and Behavioral)
Test-driven development
BDD and ATTD
Integration Testing
JUnit 5
Mockito
Powermock
Reflection API
Optional class
How to work with date and time in Java
Modules in Java
Migration to a modular application
I18N & L10N (Internationalization and Localization with Java)
Selenium basics
Selenium in Java
Selenium Waits
Page Object concept
Web Component concept
Data Transfer Object concept
Gradle basics

Requirements
No programming experience needed. You will learn everything you need to know.

Description
From this course, you can learn how to
become Software Development Engineer in Test and get all the necessary practical skills.
There are a lot of other courses on this topic.
So, why would you choose exactly this course?
Here are just a few reasons:
– Coding examples
To learn to program is not enough just watching videos and reading books. You also need to have a lot of practice. In this training course, you will review multiple practical tasks and coding examples which will help you learn and understand Java better.
– Open source code
We hide nothing from our students! Including the source code for the home task solutions and source code of examples that were shared during the lesson. Having the source code you can just copy and paste it to run it on your local computer to understand how things work better.
You are allowed to use all source code examples for learning purposes. This helps significantly to configure the environment and make tests work, especially in case students didn’t work with any testing framework in the past.
– Q&A support
The significant difference between the online and offline learning process is the instructor’s availability. If you are in one room with a tutor he always can help you to get understand the specific concept or to help fix your code on your computer.
In this course, we are supporting students with answers to any questions flagged in the Q&A section. In case there will be recurring questions – separate video lessons will be created to show how to address the issue.
So with this course you are not just getting video materials, code exercises, source code, access to the free mobile application without limits (which is still pretty cool, huh? ), but you also get tutor support and answers to your questions along with this course.
– Relevant knowledge
After our team investigated other Java courses on Udemy we realized that most of them have nothing in common with real life. The information which is shared there is very old and significantly out of date. For example, the instructor teaches a framework which is not been used already for 15 years. Or instructors do stress on the programming design which is not used anymore at all!
The instructor of this course is a consultant in a top-rated IT outsourcing company and helps to bring cutting-edge solutions in IT for all his clients. Feel free to check the LinkedIn page of the instructor and check skills endorsement. More than 19 thousand people across all over the world (BTW most of them are from the top 100 companies of the world) evaluated the skills of Andrii Piatakha.
With this course, you can be sure that you will spend your time learning the right things from one of the best IT consultants in the world.
– Free mobile App without limits for our students
Knowing Java is one skill. Be able to pass interviews in the company – that is another skill Nowadays a lot of companies use tests to select candidates on the first level of interview. We developed applications to practice skills specifically for such purposes.
In this course, we will provide you link to download our FREE mobile app for android. (soon it will be also available for iOS platforms)
The instructor of this course comes up with hundreds of tests that are used to test the knowledge of candidates. With this application, you will be well-prepared for the interview.
Also,
only for our students – there is no limit on attempts to pass certification.
In the course, we will tell you how to set up a special bonus code that will remove restrictions for our students inside the app.
– High concentration of useful material in each lesson
Sometimes you can notice that watching 5 minutes of our lesson is equivalent to watching another 30 minutes lesson.
This is because time spent for preparation for the lesson (script for the lesson, lesson structure) and video editing (to cut boring pieces of the lesson or time when the program loads) sometimes
10 times as much (sometimes even 20)
as the final lesson duration after video editing.
Also, each topic is separated from another. In case some concept will be explained in the next lesson and you don’t need to worry about understanding this in the scope of this lesson – the instructor will make an announcement when a specific topic will be covered.
Go and try it yourself! We will appreciate your feedback.
So don’t wait! Take a look at the lessons’ preview if you still have doubts!
Buy this course today, and you will get all updates for FREE!
For those who successfully passed this training course, or for students who were recognized for asking amazing questions, there is a special offer from the IT-Bulls company! The creator of this course is IT-Bulls company CEO and Founder. We are always in search of talents to run our amazing startups together with you. Probably you always dreamed about running your startup? In this course, you will be able to find the team who will teach you how to do that and (in particular cases) will be glad to help with implementation!
Hope you enjoy this course! And remember, we appreciate all your feedback! Your feedback will help us to become even better! Your feedback will help us to create to best Java course ever!
See you at the lessons!
Who this course is for:
Test Automation Engineers who want improve their skills to become SDET
People who want to learn Automation Testing from scratch to advanced level

More Info

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Scala Fundamentals by Daniel Ciocirlan [2025, ENG + Sub]

Year of release : February 2025
Manufacturer : Published by Packt Publishing Via O’reilly Learning
Manufacturer’s site :
Author : Daniel Ciocirlan
Duration : 4h 57m
Type of material given : Video lesson
Language : English + subtitles
Description :
Scala is a modern programming language that combines functional and object-oriented paradigms, making it a preferred choice for scalable applications. This course begins with a solid foundation in Scala’s syntax, exploring values, expressions, variables, and recursion. You’ll get hands-on experience with the language structure while learning best practices for writing clean and maintainable code.
Moving forward, the course introduces object-oriented programming concepts such as classes, inheritance, polymorphism, and traits. You’ll understand how Scala handles abstraction, exceptions, and generics, allowing you to write expressive, reusable code. In addition, functional programming techniques like higher-order functions, anonymous functions, and collections manipulation (map, flatMap, and filter) will reshape the way you think about programming.
By the end of this course, you’ll have a solid grasp of Scala’s powerful features, enabling you to write expressive, scalable, and maintainable code. Whether you’re contributing to an existing Scala codebase, building your own applications, or engaging in open-source projects, this course will prepare you with the skills needed to navigate the Scala ecosystem confidently.
To access the supplementary materials, scroll down to the ‘Resources’ section above the ‘Course Outline’ and click ‘Supplemental Content.’ This will either initiate a download or redirect you to GitHub.
What you will learn
• Write concise and expressive Scala code
• Implement object-oriented principles in Scala
• Apply functional programming techniques effectively
• Manipulate collections using map, flatMap, and filter
• Handle exceptions and use generics for type safety
• Build scalable applications with Scala fundamentals
Audience
This course is designed for programmers with at least one year of experience in any programming language. Prior knowledge of Java, Python, TypeScript, or C is beneficial, as the course draws parallels to mainstream languages. If you are eager to master a language that blends functional and object-oriented programming while writing expressive, type-safe code, this course is for you.
Content
Chapter 1 Introduction
Chapter 2 Scala Basics
Chapter 3 Object-Oriented Programming in Scala
Chapter 4 Functional Programming in Scala
Chapter 5 Conclusion
[curtail]Example files : no
Format Video : mp4
Video : AVC, 1732 x 1080, 16: 9, 30.000 FPS, 3,000 KB/S (0.017 bit/pixel)
Аудио: AAC, 44.1 KHz, 2 channels, 128 kb/s, CBR

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Scala Fundamentals (1.03 GB)

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