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• date: 4 October 2026
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SO WHAT IS UNSELFISH CONTENT
It’s the kind of content that still lets you be that girl, but makes your audience feel like they’re part of it, too.
Not another “watch me exist” type of vlog.

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• date: 4 October 2026
• posted by: voska89

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[img][/img]
Crack LLD Interviews of Top Product Based Companies
Published 10/2026
Created by Pradeep Kumar
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 30 Lectures ( 5h 33m ) | Size: 4.9 GB

Master OOP, SOLID, UML, design patterns, concurrency and real LLD interview problems with practical examples.

What you'll learn
⚡ Approach LLD interview problems systematically by converting requirements into classes, interfaces, relationships, and responsibilities.
⚡ - Learn how to explain your design choices, discuss trade-offs, and confidently defend your design during SDE interviews. ChatGPT can make mista
⚡ Learn commonly used Design Patterns such as Factory, Strategy, Observer, Decorator, State, Builder, and more.
⚡ Design popular interview problems such as Parking Lot, Elevator System, Vending Machine, Movie Booking System, Rate Limiter, and Notification System.

Requirements
❗ No prior knowledge of Low-Level Design, SOLID principles, UML, or Design Patterns is required.

Description
MasterLow Level Design (LLD) and learn how to approach system design interviews with a structured, interview-focused methodology.

This course is designed for software engineers preparing forSDE-1, SDE-2, Senior Software Engineer and Backend Engineer interviews where Low Level Design, Object-Oriented Design and Design Patterns are frequently tested.

My Students from Live Cohorts have cracked Top Companies so Stay assured and enjoy learning.

Instead of simply memorizing design patterns, you will learnwhen to use them, why they are required, and how they improve real software designs.

We will start with the fundamentals ofObject-Oriented Programming, UML and SOLID principles, and gradually move toward commonly used design patterns and complete LLD interview problems.

You will learn

✨ Object-Oriented Programming concepts for LLD interviews

✨ SOLID principles with practical examples

✨ UML and class diagram fundamentals

✨ Creational, Structural and Behavioral Design Patterns

✨ Factory, Builder, Strategy, Observer, Decorator, Adapter, State, Command and other important patterns

✨ How to convert requirements into classes and relationships

✨ How to identify entities, responsibilities and abstractions

✨ How to write extensible and maintainable designs

✨ Concurrency and multithreading considerations in LLD

✨ How to explain and defend your design during interviews

✨ Step-by-step approaches for solving LLD interview questions

The course also covers several popular interview problems such asParking Lot, Elevator, Vending Machine, Notification System, Rate Limiter, BookMyShow, Tic-Tac-Toe, Payment System, Ride Booking and other real-world systems.

Who this course is for
⭐ Students and working professionals targeting product-based and top tech companies.

Homepage
Published 10/2026
Created by Pradeep Kumar
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 30 Lectures ( 5h 33m ) | Size: 4.9 GB

Master OOP, SOLID, UML, design patterns, concurrency and real LLD interview problems with practical examples.

What you'll learn
⚡ Approach LLD interview problems systematically by converting requirements into classes, interfaces, relationships, and responsibilities.
⚡ - Learn how to explain your design choices, discuss trade-offs, and confidently defend your design during SDE interviews. ChatGPT can make mista
⚡ Learn commonly used Design Patterns such as Factory, Strategy, Observer, Decorator, State, Builder, and more.
⚡ Design popular interview problems such as Parking Lot, Elevator System, Vending Machine, Movie Booking System, Rate Limiter, and Notification System.

Requirements
❗ No prior knowledge of Low-Level Design, SOLID principles, UML, or Design Patterns is required.

Description
MasterLow Level Design (LLD) and learn how to approach system design interviews with a structured, interview-focused methodology.

This course is designed for software engineers preparing forSDE-1, SDE-2, Senior Software Engineer and Backend Engineer interviews where Low Level Design, Object-Oriented Design and Design Patterns are frequently tested.

My Students from Live Cohorts have cracked Top Companies so Stay assured and enjoy learning.

Instead of simply memorizing design patterns, you will learnwhen to use them, why they are required, and how they improve real software designs.

We will start with the fundamentals ofObject-Oriented Programming, UML and SOLID principles, and gradually move toward commonly used design patterns and complete LLD interview problems.

You will learn

✨ Object-Oriented Programming concepts for LLD interviews

✨ SOLID principles with practical examples

✨ UML and class diagram fundamentals

✨ Creational, Structural and Behavioral Design Patterns

✨ Factory, Builder, Strategy, Observer, Decorator, Adapter, State, Command and other important patterns

✨ How to convert requirements into classes and relationships

✨ How to identify entities, responsibilities and abstractions

✨ How to write extensible and maintainable designs

✨ Concurrency and multithreading considerations in LLD

✨ How to explain and defend your design during interviews

✨ Step-by-step approaches for solving LLD interview questions

The course also covers several popular interview problems such asParking Lot, Elevator, Vending Machine, Notification System, Rate Limiter, BookMyShow, Tic-Tac-Toe, Payment System, Ride Booking and other real-world systems.

Who this course is for
⭐ Students and working professionals targeting product-based and top tech companies.

Homepage

https://rapidgator.net/file/def7823f6c650a63e37d9f249df5080e/Crack_LLD_Interviews_of_Top_Product_Based_Companies.part1.rar.html
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https://rapidgator.net/file/d281e42ba9e7a61f85e21f766c2849a7/Crack_LLD_Interviews_of_Top_Product_Based_Companies.part5.rar.html

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• views: 113
• date: 4 October 2026
• posted by: 0nelove

Defense Cybersecurity & IT Architecture
Published 10/2026
Created by Sanru online Academy
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 59 Lectures ( 12h 27m ) | Size: 4.4 GB

Learn Defense IT Architecture, Cybersecurity, Digital Engineering, PLM, Secure Networks & Data Management

What you'll learn
⚡ Analyze how defense IT connects engineering, logistics and cybersecurity to support mission-critical operations.
⚡ Create high-level architecture diagrams showing how defense systems exchange data and collaborate securely.
⚡ Map the digital engineering lifecycle, connecting requirements, models, testing and operational feedback.
⚡ Explain how PLM supports configuration control, engineering changes and traceability throughout a defense product's lifecycle.
⚡ Propose secure network architectures using segmentation, identity-based access, encryption and resilience principles.
⚡ Assess defense database governance, including data classification, access control, audit trails and data quality.
⚡ Identify insider threats and supply chain risks, and explain monitoring, incident response and vulnerability management principles.
⚡ Develop high-level recommendations for defense scenarios using guided activities and suggested answers.

Requirements
❗ No previous experience in the defense sector is required. The course explains the essential concepts from the ground up.
❗ A basic understanding of IT systems, networks or cybersecurity is helpful, but no advanced technical knowledge is required.
❗ No programming skills, specialized software or access to military systems are required.
❗ Students should be willing to analyze fictional defense scenarios and create high-level diagrams, tables and written recommendations.

Description
This course contains the use of artificial intelligence.

Defense Cybersecurity & IT Architecture is a practical, structured introduction to the technologies, architecture principles, cybersecurity concepts, and digital engineering practices used in modern defense environments.

Defense organizations and contractors operate in environments where technology decisions can affect much more than productivity. Systems must supportmission continuity, sensitive information, long lifecycle assets, secure collaboration, engineering processes, logistics, maintenance, and operational decision-making.

This course was designed to help you understand how these elements fit together.

Rather than focusing only on isolated cybersecurity tools, you will explore the broader digital ecosystem behind defense organizations and defense contractors, includingIT architecture, enterprise architecture, digital engineering, Product Lifecycle Management (PLM), secure networks, defense databases, data governance, and cybersecurity risk management.

The course currently containsseven fully developed modules, covering

✨ Defense IT architecture and mission-critical systems

✨ Enterprise, solution, and technical architecture concepts

✨ Digital engineering, MBSE, digital threads, and digital twins

✨ Product Lifecycle Management and configuration control

✨ Secure defense networks and communications architecture

✨ Military databases, data governance, traceability, and data quality

✨ Cybersecurity principles for defense environments

But this is not a course built only around presentations.

Each module includes apractical activity based on a fictional defense organization or contractor, allowing you to apply the concepts in realistic consulting-style scenarios.

You may be asked to analyze digital systems, map architectures, evaluate lifecycle information, assess network segmentation, review database governance, identify cybersecurity risks, recommend controls, or prepare professional technical recommendations.

These activities are especially useful for

IT and cybersecurity professionals who want to understand defense-sector environments.

Consultants and technology advisors who need to analyze systems, risks, architecture, governance, and modernization initiatives.

Systems analysts and IT architects interested in secure and mission-oriented architecture.

Engineers and technical professionals who want to understand how digital engineering, PLM, cybersecurity, networks, and enterprise systems interact.

University professors and instructors looking for structured examples, case studies, and practical exercises that can support teaching.

Students and professionals entering the defense technology sector who need a strong conceptual foundation before moving into more specialized areas.

The course also includesmodule quizzes designed to reinforce understanding through practical scenarios rather than simple memorization.

Throughout the course, the focus is on understandingwhy architecture and cybersecurity decisions matter.

You will learn to think about questions such as

What happens if a mission-critical system fails?

How should engineering, logistics, cybersecurity, and operational systems communicate?

How can organizations protect sensitive technical information while still collaborating with contractors and suppliers?

How can digital engineering maintain traceability from requirements to testing, deployment, maintenance, and modernization?

How should legacy systems coexist with modern technologies?

How can organizations manage vulnerabilities, incidents, configuration changes, access control, and operational risk?

The objective is not to design real classified military systems. Instead, the course usesfictional and high-level defense scenarios to teach concepts that can be transferred to real professional environments while maintaining an educational and responsible approach.

A course designed to keep evolving

Defense Cybersecurity & IT Architecture is a living course.
The current release provides seven complete modules together with their practical activities, quizzes, explanations, and supporting learning resources.

As the course evolves,new modules, practical activities, examples, and resources may be added based on developments in defense technology, cybersecurity, digital engineering, architecture practices, and student feedback.

This means that joining the course is not only about accessing the material available today. You are joining a course designed togrow and evolve over time.

If you are interested in understanding howcybersecurity, IT architecture, digital engineering, PLM, secure communications, data management, and mission requirements come together in the defense sector, this course will give you a structured foundation and a practical way to begin thinking like a defense IT professional or consultant.

Who this course is for
⭐ IT architects and systems analysts who want to understand how digital systems operate within defense environments.
⭐ Cybersecurity professionals seeking a broader view of defense networks, sensitive data, operational risk and security governance.
⭐ Consultants and digital transformation advisors preparing to support defense organizations, contractors or technology suppliers.
⭐ Engineering, PLM and data professionals interested in digital engineering, lifecycle management and secure information sharing.
⭐ Project managers and technology vendors who need to communicate effectively across engineering, IT and cybersecurity teams.
⭐ Professionals working for defense contractors or suppliers who want to better understand architecture, cybersecurity and data responsibilities.

https://rapidgator.net/file/5757755f693fbacd0aad409073dceb50/Defense_Cybersecurity_&_IT_Architecture.part1.rar.html
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https://www.uploadcloud.pro/8aweiza8tvxd/Defense_Cybersecurity__amp__IT_Architecture.part1.rar.html
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• views: 186
• date: 4 October 2026
• posted by: 0nelove

Generative AI for Cybersecurity: ChatGPT & Codex
Published 10/2026
Created by Rafał Podraza
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 44 Lectures ( 3h 59m ) | Size: 2.6 GB

Use ChatGPT and Codex for vulnerability analysis, threat detection, incident response, secure code review and testing.

What you'll learn
⚡ Understand how AI supports cybersecurity work
⚡ Use ChatGPT for security analysis
⚡ Use Codex for secure code review
⚡ Analyze vulnerabilities with AI assistance
⚡ Review security logs and alerts
⚡ Support incident response activities
⚡ Generate security tests and scripts
⚡ Create and improve detection rules
⚡ Identify insecure coding patterns
⚡ Apply Human-in-the-Loop validation

Requirements
❗ Basic understanding of cybersecurity concepts
❗ No previous AI experience required
❗ Curiosity and interest in practical cybersecurity

Description
This course contains the use of artificial intelligence.

Generative AI for Cybersecurity: ChatGPT & Codex

Learn how to use Generative AI, ChatGPT, and Codex to analyze vulnerabilities, investigate security events, respond to incidents, and improve secure code.
Welcome to"Generative AI for Cybersecurity: ChatGPT & Codex" – a practical, hands-on course for cybersecurity professionals, developers, QA engineers, and IT specialists who want to understand how AI can support modern security workflows.

In this course, you'll discover howChatGPT and Codex can assist with vulnerability analysis, security log investigation, threat detection, incident response, secure code review, security testing, and automation.

Instead of working only with theory, you will useBookStay, a realistic security training application with users, bookings, APIs, security logs, alerts, incidents, detection rules, and controlled attack simulations.

No unnecessary theory overload – the focus is onrealistic security scenarios, practical prompts, code analysis, and hands-on workflows that you can reuse in your own work.

What You'll Learn
✨ How Generative AI can support SOC, AppSec, and Incident Response teams

✨ How to use ChatGPT and Codex effectively in cybersecurity workflows

✨ How to perform AI-assisted vulnerability analysis

✨ How to identify Broken Access Control, IDOR, Mass Assignment, and sensitive data exposure

✨ How to analyze security logs and suspicious authentication activity

✨ How to detect brute-force attempts, booking enumeration, and unauthorized access patterns

✨ How to classify and prioritize security alerts

✨ How to extract Indicators of Compromise and prepare investigation summaries

✨ How to investigate a simulated account takeover incident

✨ How to determine incident scope and business impact

✨ How to prepare containment, remediation, and root cause analysis

✨ How to create a professional post-incident report with AI assistance

✨ How to generate security log analysis scripts with Codex

✨ How to create AI-assisted detection rules

✨ How to perform secure code reviews and generate security regression tests

✨ How to refactor insecure code and validate security fixes

✨ How to protect sensitive data when working with AI

✨ How to recognize AI hallucinations, prompt injection, and AI-agent risks

✨ How to apply Human-in-the-Loop principles in cybersecurity

Hands-On BookStay Security Lab
Throughout the course, you will work with theBookStay Security Lab, where you will

✨ Analyze vulnerable API endpoints

✨ Investigate authentication and authorization problems

✨ Generate controlled security events

✨ Analyze logs with ChatGPT

✨ Investigate alerts and incidents

✨ Simulate an account takeover

✨ Perform root cause analysis

✨ Create containment and remediation plans

✨ Build detection rules

✨ Generate security tests with Codex

✨ Refactor insecure code

✨ Validate security fixes

Practical Exercises
The course also includes practical exercises where you will apply the techniques independently.

You will analyze security evidence, work with suspicious activity, review code, and make decisions based on the available data.

You will also complete anAI Security Analyst role-play, where you investigate a suspected account takeover and prepare a concise security briefing.

At the end of the course, you will complete atheoretical final exam to verify your understanding of the most important concepts.

Who this course is for
⭐ Cybersecurity professionals
⭐ SOC analysts
⭐ Anyone interested in AI-assisted security workflows

Download

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• views: 330
• date: 4 October 2026
• posted by: 0nelove

Generative AI for Cybersecurity: ChatGPT & Codex
Published 10/2026
Created by Rafał Podraza
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 44 Lectures ( 3h 59m ) | Size: 2.6 GB

Use ChatGPT and Codex for vulnerability analysis, threat detection, incident response, secure code review and testing.

What you'll learn
⚡ Understand how AI supports cybersecurity work
⚡ Use ChatGPT for security analysis
⚡ Use Codex for secure code review
⚡ Analyze vulnerabilities with AI assistance
⚡ Review security logs and alerts
⚡ Support incident response activities
⚡ Generate security tests and scripts
⚡ Create and improve detection rules
⚡ Identify insecure coding patterns
⚡ Apply Human-in-the-Loop validation

Requirements
❗ Basic understanding of cybersecurity concepts
❗ No previous AI experience required
❗ Curiosity and interest in practical cybersecurity

Description
This course contains the use of artificial intelligence.

Generative AI for Cybersecurity: ChatGPT & Codex

Learn how to use Generative AI, ChatGPT, and Codex to analyze vulnerabilities, investigate security events, respond to incidents, and improve secure code.
Welcome to"Generative AI for Cybersecurity: ChatGPT & Codex" – a practical, hands-on course for cybersecurity professionals, developers, QA engineers, and IT specialists who want to understand how AI can support modern security workflows.

In this course, you'll discover howChatGPT and Codex can assist with vulnerability analysis, security log investigation, threat detection, incident response, secure code review, security testing, and automation.

Instead of working only with theory, you will useBookStay, a realistic security training application with users, bookings, APIs, security logs, alerts, incidents, detection rules, and controlled attack simulations.

No unnecessary theory overload – the focus is onrealistic security scenarios, practical prompts, code analysis, and hands-on workflows that you can reuse in your own work.

What You'll Learn
✨ How Generative AI can support SOC, AppSec, and Incident Response teams

✨ How to use ChatGPT and Codex effectively in cybersecurity workflows

✨ How to perform AI-assisted vulnerability analysis

✨ How to identify Broken Access Control, IDOR, Mass Assignment, and sensitive data exposure

✨ How to analyze security logs and suspicious authentication activity

✨ How to detect brute-force attempts, booking enumeration, and unauthorized access patterns

✨ How to classify and prioritize security alerts

✨ How to extract Indicators of Compromise and prepare investigation summaries

✨ How to investigate a simulated account takeover incident

✨ How to determine incident scope and business impact

✨ How to prepare containment, remediation, and root cause analysis

✨ How to create a professional post-incident report with AI assistance

✨ How to generate security log analysis scripts with Codex

✨ How to create AI-assisted detection rules

✨ How to perform secure code reviews and generate security regression tests

✨ How to refactor insecure code and validate security fixes

✨ How to protect sensitive data when working with AI

✨ How to recognize AI hallucinations, prompt injection, and AI-agent risks

✨ How to apply Human-in-the-Loop principles in cybersecurity

Hands-On BookStay Security Lab
Throughout the course, you will work with theBookStay Security Lab, where you will

✨ Analyze vulnerable API endpoints

✨ Investigate authentication and authorization problems

✨ Generate controlled security events

✨ Analyze logs with ChatGPT

✨ Investigate alerts and incidents

✨ Simulate an account takeover

✨ Perform root cause analysis

✨ Create containment and remediation plans

✨ Build detection rules

✨ Generate security tests with Codex

✨ Refactor insecure code

✨ Validate security fixes

Practical Exercises
The course also includes practical exercises where you will apply the techniques independently.

You will analyze security evidence, work with suspicious activity, review code, and make decisions based on the available data.

You will also complete anAI Security Analyst role-play, where you investigate a suspected account takeover and prepare a concise security briefing.

At the end of the course, you will complete atheoretical final exam to verify your understanding of the most important concepts.

Who this course is for
⭐ Cybersecurity professionals
⭐ SOC analysts
⭐ Anyone interested in AI-assisted security workflows

Download

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• views: 215
• date: 4 October 2026
• posted by: 0nelove

SAP BTP Development Masterclass for Developers
Published 10/2026
Created by Alok Kumar
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 26 Lectures ( 19h 4m ) | Size: 13.3 GB

Master SAP BTP with RAP, CDS Views, AMDP, and transactional app development using modern cloud-based ABAP techniques.

What you'll learn
⚡ Build and deploy SAP RAP-based applications on SAP BTP using CDS and OData.
⚡ Create transactional and draft-enabled apps using managed and unmanaged RAP.
⚡ Implement validations, determinations, and dynamic features in RAP BOs.
⚡ Develop ABAP CDS Views, AMDP logic, and integrate them into BTP projects.
⚡ Understand SAP BTP architecture, services, environments, and development models.
⚡ Set up SAP BTP accounts, subaccounts, spaces, and development tools.
⚡ Build RAP-based applications using CDS, OData, and ABAP on BTP.
⚡ Design CDS-based data models with associations, annotations, and extensions.
⚡ Create managed transactional applications using RAP framework.
⚡ Develop unmanaged RAP applications with custom data access logic.
⚡ Implement draft-enabled transactional applications for better UX.
⚡ Define business objects and behavior definitions in RAP.
⚡ Implement validations, determinations, actions, and messages in RAP BOs.
⚡ Control authorizations and security in RAP applications.
⚡ Handle concurrency control and locking in transactional apps.
⚡ Use EML to access and manipulate RAP business objects.
⚡ Enable value help and input validations in transactional UIs.
⚡ Build composite business objects using RAP compositions.
⚡ Develop OData UI services and integrate them with SAP Fiori apps.
⚡ Implement ABAP CDS views for analytical and transactional use cases.
⚡ Use AMDP for complex data processing and performance optimization.
⚡ Develop scalable cloud-ready ABAP applications on SAP BTP.
⚡ Manage BTP administration basics for ABAP environment.

Requirements
❗ Basic understanding of SAP ABAP programming and data modeling.
❗ Familiarity with SAP HANA or database concepts is helpful.
❗ Knowledge of OData services or SAP development tools like ADT.
❗ Access to SAP BTP ABAP environment for hands-on practice.
❗ No prior experience in RAP required-concepts start from fundamentals.
❗ Understanding of database concepts and SQL basics.
❗ Experience using Eclipse or ABAP Development Tools is an advantage.
❗ Awareness of OData or REST concepts is beneficial but not mandatory.
❗ Interest in cloud-native SAP application development.

Description
TheSAP BTP Development Training program is designed to equip developers with the complete skillset required to build, extend, and modernize SAP applications using SAP Business Technology Platform. This course provides deep, hands-on exposure to theABAP RESTful Application Programming Model (RAP), covering concepts, architecture, and the full development lifecycle of cloud-ready enterprise applications. You begin by learning how to design CDS-based data models and define OData UI services that form the foundation of RAP applications .

A major focus of the training is understanding and buildingRAP Business Objects (RAP BOs). You will learn how to define behaviors, use the Entity Manipulation Language (EML), implement concurrency control, authority checks, actions, and messages. The course also covers managed scenarios where you configure input fields, validations, determinations, and dynamic feature control for robust transactional processing .

You will then move intodraft-enabled development, learning how drafts work and how to build draft-based transactional applications. The course extends into composite business objects, compositions within OData UI services, and behavior implementation for complex RAP structures. For scenarios requiring backend-driven logic, you will work withunmanaged transactional applications and understand how to implement custom data access .

In addition, the course includes dedicated coverage ofABAP CDS views (associations, extensions, annotations) andAMDP development, including class differences, SQLScript consumption, and AMDP-based logic execution. You will also gain exposure to essential BTP administration tasks, rounding out your readiness for real enterprise deployments.

By the end of this course, you will be able to design, build, deploy, and optimize full-scale applications on SAP BTP using RAP, CDS, AMDP, and modern ABAP development best practices.

Who this course is for
⭐ SAP ABAP developers aiming to upskill in RAP and SAP BTP cloud development.
⭐ Technical consultants exploring modern ABAP and cloud-native practices.
⭐ SAP professionals transitioning from on-premise ECC to S/4HANA and BTP.
⭐ Developers interested in creating transactional and analytical SAP apps.
⭐ Beginners seeking to start a career in SAP cloud and ABAP development.
⭐ Developers transitioning from ECC to S/4HANA and BTP platforms.
⭐ SAP technical consultants working on modern SAP implementations.
⭐ Professionals aiming to master RAP and cloud-based ABAP development.
⭐ SAP developers interested in building transactional cloud applications.
⭐ Technical architects designing SAP BTP extension solutions.
⭐ SAP professionals moving from on-premise to cloud development models.
⭐ ABAP developers seeking hands-on RAP and CDS experience.
⭐ Developers working on side-by-side extensions for S/4HANA.

https://rapidgator.net/file/5a4c3b31631e92c80740b59bb249c766/SAP_BTP_Development_Masterclass_for_Developers.part01.rar.html
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• date: 4 October 2026
• posted by: 0nelove

SQL Server 2025 Database Administration Essential Training
Published 10/2026
Created by Emar Morrison
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 50 Lectures ( 4h 49m ) | Size: 4 GB

SQL Server 2025 Database Administration

What you'll learn
⚡ Individuals seeking to build a strong foundation in SQL Server 2025 administration and progress into a DBA role.
⚡ Existing DBAs who want to update their skills to align with the latest SQL Server
⚡ IT professionals responsible for server, storage, or cloud infrastructure who manage or support SQL Server environments.
⚡ Professionals supporting SQL Server–backed applications who need to troubleshoot performance, availability, and data issues.
⚡ Software developers with SQL experience who want to expand into database administration and operations.

Requirements
❗ SQL Server Database Administration

Description
This course contains the use of artificial intelligence.

Welcome to theSQL Server 2025 course!

I'm excited to have you join us as we explore the world ofMicrosoft SQL Server administration, security, performance, backup, recovery, high availability, and modern AI capabilities.

Throughout this course, you will gain practical, hands-on experience working with SQL Server 2025 and develop the skills needed to manage and support modern production database environments.

We will cover topics including

✨ SQL Server architecture and database administration

✨ Database backup and recovery strategies

✨ Security and encryption

✨ Performance monitoring and optimization

✨ Indexing and database maintenance

✨ Extended Events

✨ High availability and disaster recovery

✨ Database mirroring and other availability technologies

✨ Partitioning and data management

✨ Practical DBA troubleshooting and administration

✨Introduction to SQL Server AI features and AI-assisted database capabilities

A key part of this course will be our introduction toAI in SQL Server. We will explore how AI can complement traditional DBA skills and support the way we work with data.

My goal is not only for you to understand the concepts, but also toapply them in real-world SQL Server environments.

Come prepared to learn, practice, ask questions, troubleshoot problems, and explore howSQL Server 2025 and AI are shaping the future of database administration.

Welcome to the course, and let's get started!

Who this course is for
⭐ Basic understanding of: Relational database concepts & SQL fundamentals
⭐ Prior SQL Server experience is helpful but not required
⭐ Familiarity with: Windows Server environments & Basic networking concepts

Homepage

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• date: 4 October 2026
• posted by: AD-TEAM

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• date: 4 October 2026
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The AI Cybersecurity Brief
Published 10/2026
By Omar Santos
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 1h 10m | Size: 2.2 GB

Expert analysis of the latest AI breakthroughs and the cybersecurity realities they create

Overview
The AI Cybersecurity Brief is a timely, practitioner-focused video series at one of the most consequential intersections in technology today: artificial intelligence and cybersecurity. For years, security professionals have warned that AI would change both offense and defense. That future is no longer theoretical.

Autonomous agents operate at machine speed
Frontier models are reaching new levels each day
Defenders increasingly rely on AI for detection and forensics
Safety guardrails can block the very analysis incident responders need
Dataset pipelines, sandboxes, model registries, and agent orchestration layers have become new attack surfaces
The questions are no longer if AI will reshape cyber risk, but how, how fast, and what we do now.

Hosted by Omar Santos, best-selling author and AI and cybersecurity expert, this monthly series delivers clear, authoritative analysis of the developments that matter. Episodes connect technical detail to executive relevance: what happened, why it matters, who should care, and what actions organizations should consider.

Skill Level: Beginner to Advanced

Learn How To
Understand the latest innovations in the world of AI
Assess AI breakthroughs through a cyber risk lens
Break down and learn from AI-driven security incidents
Use AI more effectively in all cybersecurity domains

Course Requirement: None

Who Should Take This Course
Cybersecurity practitioners
SOC analysts
Security engineers
Penetration testers
Incident responders
Software engineers
DevSecOps professionals
Security leaders

Table of Contents
Episode 1: Insights from the OpenAI and Hugging Face Incident

Screenshot

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• date: 4 October 2026
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