• views: 92
• date: 17 September 2026
• posted by: 0nelove

Azure RAG Patterns: Azure AI Search & OpenAI Pipelines
Published 9/2026
Created by ACHRAF ER-RAYA
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 6 Lectures ( 1h 21m ) | Size: 951.8 MB

Master Retrieval Augmented Generation (RAG) on Azure: AI Search, Azure OpenAI, hybrid retrieval & agentic chat.

What you'll learn
⚡ Build automated Python ingestion pipelines to parse, chunk, & index documents with Hybrid Search & Semantic Ranker.
⚡ Design production RAG topologies using Azure AI Foundry SDK, query rewriting, & conversation state management.
⚡ Deploy safe RAG apps to Azure App Service with Azure Content Safety guardrails & automated RAG Triad evaluations.
⚡ Implement end-to-end security, Azure AI Content Safety guardrails, and automated RAG Triad evaluations to safely deploy production RAG apps to Azure.

Requirements
❗ Basic proficiency in Python and an active Azure subscription with access to Azure OpenAI services.

Description
This course contains the use of artificial intelligence.

Build a production-minded Retrieval Augmented Generation application on Azure instead of stopping at a toy chatbot.

This hands-on course takes you from Azure resource foundation to secure document ingestion, hybrid retrieval, cited chat, evaluation, and release review. You will use Microsoft Foundry, Azure AI Search, Azure OpenAI models, managed identity concepts, and practical engineering templates that you can adapt to an internal knowledge assistant.

Who this course is for
⭐ Python developers, AI engineers, and cloud architects looking to build secure, production-ready enterprise RAG applications on Azure.

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• views: 131
• date: 17 September 2026
• posted by: 0nelove

Advanced RAG Techniques
Published 9/2026
Created by Start-Tech Academy
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 40 Lectures ( 4h 43m ) | Size: 2.3 GB

Master Advanced RAG with Hybrid Search, Query Transformation, Self-RAG, CRAG, GraphRAG, and Multimodal Retrieval

What you'll learn
⚡ Design and build advanced RAG pipelines using semantic chunking, retrieval strategies, and optimized search techniques
⚡ Improve RAG retrieval quality using hybrid search, keyword search, cross encoders, and advanced ranking methods
⚡ Enhance retrieval accuracy through multiple query generation, query rewriting, query expansion, and HyDE techniques
⚡ Develop advanced RAG applications using Self-RAG, Corrective RAG, and GraphRAG architectures for reliable information retrieval
⚡ Build multimodal RAG systems that process complex PDFs, tables, embeddings, and multimodal data for effective retrieval
⚡ Evaluate and optimize RAG applications for quality, cost, reliability, and production performance using observability, tracing, and telemetry

Requirements
❗ No prior AI or technical experience is required — just a computer, internet connection, and a willingness to learn advanced RAG techniques.

Description
Are you an AI engineer, machine learning professional, data scientist, software developer, or someone looking to build more accurate, reliable, and production-ready Retrieval-Augmented Generation (RAG) applications?

Imagine being able to improve document retrieval, optimize chunking strategies, enhance user queries, combine multiple search methods, build Self-RAG and Corrective RAG systems, work with complex PDFs and tables, retrieve information from multimodal data, and evaluate and optimize RAG applications for real-world use.

Retrieval-Augmented Generation is rapidly becoming one of the most important techniques for building AI applications that can work with private, domain-specific, and constantly changing information. However, building a basic RAG pipeline is only the beginning. Real-world applications require advanced retrieval strategies, better query understanding, reliable architectures, multimodal capabilities, evaluation, cost optimization, and production observability.

Advanced RAG techniques help overcome many of the limitations found in traditional RAG systems. From semantic chunking and hybrid search to query rewriting, HyDE, Self-RAG, Corrective RAG, and GraphRAG, these techniques can significantly improve the quality and reliability of AI-powered applications.

In this course, you will learn how to build and optimize advanced RAG systems through a practical, hands-on approach. Starting with RAG foundations and architecture, you will explore advanced chunking and retrieval techniques, query transformation, advanced RAG architectures, multimodal retrieval, evaluation, cost optimization, and production monitoring.

What You Will Learn
✨ Understanding RAG architecture and advanced retrieval workflows

✨ Learning different chunking strategies for RAG applications

✨ Implementing fixed-size and semantic chunking techniques

✨ Understanding the limitations of fixed-size chunking

✨ Building semantic chunking pipelines through hands-on implementation

✨ Understanding search algorithms used in RAG systems

✨ Implementing keyword search for information retrieval

✨ Understanding and implementing hybrid search methods

✨ Using cross encoders for improved document ranking

✨ Building practical hybrid search pipelines

✨ Understanding query enhancement and transformation techniques

✨ Generating multiple queries to improve retrieval coverage

✨ Applying query rewriting and query expansion techniques

✨ Understanding HyDE for improving semantic retrieval

✨ Implementing practical query transformation workflows

✨ Understanding advanced RAG architectures and their applications

✨ Building and understanding Self-RAG systems

✨ Understanding Corrective RAG (CRAG) architectures

✨ Implementing practical Corrective RAG workflows

✨ Understanding GraphRAG and graph-based retrieval approaches

✨ Understanding multimodal RAG and multimodal information retrieval

✨ Parsing complex PDFs and extracting information from tables

✨ Understanding embeddings for advanced retrieval workflows

✨ Implementing multimodal retrieval techniques

✨ Building practical multimodal RAG applications

✨ Evaluating the performance and quality of RAG systems

✨ Understanding cost optimization strategies for RAG applications

✨ Monitoring RAG applications using observability techniques

✨ Understanding tracing and telemetry for production RAG systems

✨ Applying practical techniques for building production-ready RAG pipelines

Why This Course Is Important
Basic RAG systems can provide useful results, but real-world applications often face challenges such as poor document retrieval, irrelevant context, incomplete answers, complex documents, high operational costs, and difficulty monitoring system performance.

Advanced RAG techniques provide solutions to these challenges by improving how information is processed, retrieved, ranked, and provided to language models. Techniques such as semantic chunking, hybrid search, query transformation, Self-RAG, Corrective RAG, and GraphRAG allow developers to build more capable and reliable AI applications.

Modern organizations are increasingly using RAG to build AI assistants, knowledge management systems, enterprise search applications, document intelligence solutions, and domain-specific AI tools. Understanding how to optimize these systems is becoming an important skill for professionals working with Generative AI.

This course focuses on the techniques required to move beyond basic RAG implementations and build systems that are more accurate, efficient, scalable, and suitable for real-world applications.

What Makes This Course Unique
This course focuses on practical implementation rather than theory alone. Each major concept is connected to practical RAG development scenarios so that you can understand not only what a technique is, but also when and why it should be used.

You will explore advanced chunking, retrieval, query transformation, advanced RAG architectures, multimodal retrieval, evaluation, cost optimization, and observability through a structured learning path.

The course progressively moves from RAG foundations to advanced techniques, helping you understand how individual components affect the overall performance of a RAG system.

You will work with practical implementations covering semantic chunking, hybrid search, query transformation, Corrective RAG, multimodal retrieval, evaluation, and production monitoring.

The course is designed for learners who want to go beyond basic RAG concepts and develop the skills needed to design and improve advanced RAG applications.

A basic understanding of Generative AI, Large Language Models, embeddings, and RAG concepts will be helpful, but the course progressively explains the key concepts required to understand the advanced techniques.

Start Your Advanced RAG Journey
The future of AI applications is moving beyond simple chatbot experiences toward intelligent systems that can retrieve, reason over, and work with complex sources of information.

Advanced RAG techniques are helping organizations build AI systems that can work with enterprise documents, structured and unstructured data, complex PDFs, tables, images, and knowledge graphs while delivering more relevant and reliable responses.

In this course, you will learn how to move beyond traditional RAG and build advanced retrieval pipelines using modern techniques such as semantic chunking, hybrid search, query transformation, Self-RAG, Corrective RAG, GraphRAG, and multimodal retrieval.

You will also learn how to evaluate, optimize, monitor, and improve RAG applications so they are better prepared for real-world and production environments.

If you are ready to take your RAG skills beyond the basics and learn how to design, optimize, and build advanced RAG systems, enroll now and start your Advanced RAG journey today.

Who this course is for
⭐ AI and Machine Learning Engineers who want to design, develop, and optimize advanced Generative AI and RAG applications.
⭐ Data Scientists and Data Engineers working with retrieval systems, unstructured data, knowledge bases, and AI-powered data applications.
⭐ Software Developers and AI Developers building intelligent search, document intelligence, enterprise knowledge management, and AI assistant solutions.
⭐ Generative AI and NLP Professionals looking to move beyond basic RAG implementations and apply advanced retrieval and generation techniques.
⭐ Cloud and AI Solution Architects interested in designing scalable, reliable, and production-ready RAG architectures for real-world applications.
⭐ Technical Professionals and Researchers exploring Self-RAG, Corrective RAG, GraphRAG, multimodal retrieval, evaluation, and RAG optimization.
⭐ Students and Aspiring AI Professionals pursuing careers in Artificial Intelligence, Machine Learning, Data Science, NLP, or Generative AI who want practical RAG development skills.

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• views: 129
• date: 17 September 2026
• posted by: 0nelove

Cybersecurity 101: SOC Operations Fundamentals for Beginners
Published 9/2026
Created by Rob Cyber
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 31 Lectures ( 5h 11m ) | Size: 6.1 GB

Learn how SIEM, SOAR, EDR, IDS, firewalls, and other SOC security tools protect organizations from cyber threats.

What you'll learn
⚡ Understand the fundamental roles, responsibilities, and workflows of a modern Cybersecurity Security Operations Center (SOC) in a classroom learning environment
⚡ Develop a foundational understanding of endpoint, network, identity, email, DNS, and cloud security within a SOC environment
⚡ Understand how different cybersecurity systems share information and support analysts during security monitoring and investigations
⚡ Build the foundational SOC knowledge needed to transition into hands-on training with Splunk, Linux, Wireshark, PowerShell, and other cybersecurity technologies

Requirements
❗ No experienced required. This course is for Absolute Beginners with no hands-on experience. Course is taught in a classroom setting.

Description
Welcome toCybersecurity SOC Operations 101 with Rob Cyber!

If you are completely new to cybersecurity and want to understand what actually happens inside a Security Operations Center, you are in the right place.

This course was designed specifically forabsolute beginners who want to build a strong foundational understanding of Cybersecurity SOC Operations before moving into more advanced hands-on technical training.

This isnot a hands-on lab course.

Instead, think of this course as yourCybersecurity SOC classroom, where we are going to focus on helping you understand the technologies, security platforms, processes, and workflows that cybersecurity professionals use every day.

No Fluff Course:Straight-to-the-Point Cybersecurity SOC Fundamentals for Beginners. No Hours of Endless Videos.

Throughout the course, you'll learn the fundamentals of

• SOAR Security, Integrations, Playbooks, and Incident Response
• SIEM and SOC security platforms
• Microsoft Sentinel
• IBM QRadar
• Intrusion Detection Systems
• Intrusion Prevention Systems
• Endpoint Security with CrowdStrike
• Microsoft Defender
• Vulnerability Management
• Email Security
• DNS Security
• Cloud Security
• Identity and Access Management
• The Microsoft Security ecosystem
• SOC investigations and security workflows

Most importantly, you will begin to understandhow all of these different cybersecurity systems work together inside a modern Security Operations Center.

Who Is This Course For?

This course is designed for anyone who wants to develop a foundational understanding of Cybersecurity SOC Operations, including

• AspiringSOC Analysts
• AspiringCybersecurity Analysts
• AspiringNetwork Security Engineers
• CurrentIT Professionals interested in transitioning into cybersecurity
• Help Desk and Technical Support professionals
• Network Administrators and Network Technicians
• Students preparing to begin cybersecurity training
• Career changers with little or absolutelyZERO cybersecurity experience
• Anyone interested in understanding how modern cybersecurity operations work

You donot need previous cybersecurity experience to begin this course.

My goal is for you to finish this course with a much clearer understanding ofhow Cybersecurity SOC Operations actually work, what SOC and cybersecurity analysts are responsible for, and how the different security technologies communicate and work together during security monitoring, investigations, and incident response.

And this course is just the foundation.

Once you complete this course, you will be in a much better position to pivot intohands-on cybersecurity labs and technical training involving technologies such as

• Splunk
• Linux
• Wireshark
• PowerShell
• SIEM platforms
• Endpoint Security tools
• Network Security tools
• Incident Response technologies
• And much more

Who this course is for
⭐ Beginners that are interested in Learning Cybersecurity and becoming a Cybersecurity Analyst.
⭐ Entry-level students that want to learn in a classroom type of environment before transitioning into hands-on training.

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• views: 206
• date: 17 September 2026
• posted by: 0nelove

OpenClaw Mastery: AI Security, VPS & Autonomous AI Employee
Published 9/2026
Created by Eduonix Learning Solutions
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Expert | Genre: eLearning | Language: English | Duration: 24 Lectures ( 1h 50m ) | Size: 1023.6 MB

Master OpenClaw Security, VPS Setup & Workforce Design with a Hands-On Capstone: Build an Autonomous AI Employee

What you'll learn
⚡ Learn to secure OpenClaw with authentication, least privilege, sandboxing, monitoring, and best practices for protecting AI agents.
⚡ Deploy OpenClaw on a Linux VPS using Docker, HTTPS, networking, remote access, backups, and ongoing maintenance.
⚡ Design an AI workforce with specialized agents, task routing, communication, operating rules, and collaborative workflows.
⚡ Build and deploy an autonomous AI employee through a hands-on capstone project using OpenClaw, memory, context, and tools.

Requirements
❗ Basic computer skills, familiarity with AI agents, and an internet connection. Linux and Docker knowledge is helpful but not required.

Description
Step into the world of autonomous AI agents and learn how to securely deploy OpenClaw, design an AI-powered workforce, and build your own autonomous AI employee from the ground up. This practical, project-based course combines AI agent security, VPS deployment, workforce architecture, and hands-on implementation to help you develop valuable skills for building and managing AI-driven solutions.

The course begins with the essential security principles required to operate OpenClaw safely in real-world environments. You will explore how to protect sensitive information and secrets, implement authentication, apply least-privilege access, use sandboxing, and establish monitoring practices. You will also learn how to prepare for potential security incidents and maintain a more secure AI agent environment.

Next, you will learn how to deploy OpenClaw on a Linux VPS using Docker-based installation methods. The course covers remote access, networking, HTTPS configuration, private networking concepts, backups, updates, and ongoing maintenance. These lessons will help you understand the infrastructure and operational practices involved in running OpenClaw beyond a local development environment.

You will then discover how to design a specialized AI workforce by defining agent roles, assigning responsibilities, routing tasks, and enabling communication between AI agents. You will explore workforce design principles and learn how multiple AI agents can work together within a structured architecture to support business and productivity workflows.

The course concludes with an excitinghands-on capstone project: Build and Deploy an Autonomous AI Employee. You will apply the concepts covered throughout the course to create an AI employee with a defined role, responsibilities, operating rules, and practical workflows. You will learn how to configure the agent to handle tasks, use context and memory effectively, interact with tools, and perform selected activities with greater autonomy.

By the end of this course, you will have practical experience securing OpenClaw, deploying it on a VPS, designing an AI workforce, and building an autonomous AI employee. Whether you are exploring AI automation, experimenting with agentic workflows, or looking to expand your technical skills, this course provides a practical foundation for turning AI agent concepts into working solutions.

Enroll today and start building your own secure, AI-powered workforce with OpenClaw!

Who this course is for
⭐ AI enthusiasts, developers, IT professionals, and entrepreneurs who want to secure OpenClaw, deploy AI agents, and build autonomous AI employees.

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• views: 128
• date: 17 September 2026
• posted by: 0nelove

Oracle Database Administration 21c: Beginner to Advanced DBA
Published 9/2026
Created by ENTOPDBA Academy
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 25 Lectures ( 8h 9m ) | Size: 5.7 GB

Learn to become an Oracle Database Administrator (DBA) in 8 hours and get a well paid job as a Junior DBA.

What you'll learn
⚡ Install and configure Oracle Database 21c in a practical lab environment
⚡ Understand Oracle Database architecture, memory structures, processes, and storage
⚡ Create and manage tablespaces, datafiles, users, roles, and privileges
⚡ Use SQL, DDL, and DML commands to work with Oracle databases
⚡ Configure Oracle networking and troubleshoot client connectivity
⚡ Perform Oracle RMAN full and incremental backups
⚡ Restore and recover Oracle databases after common failures
⚡ Monitor Oracle databases using OEM, AWR, ADDM, and Linux tools
⚡ Identify common Oracle database performance problems
⚡ Develop practical skills required for entry-level Oracle DBA support
⚡ Use Data Pump EXPDP and IMPDP for database export and import

Requirements
❗ Basic computer knowledge
❗ Basic Linux knowledge is helpful but not required
❗ No previous Oracle DBA experience is required
❗ A willingness to practice in a lab environment

Description

Learn Oracle Database Administration 21c step by step and build the practical skills needed to become a confident Oracle DBA.
If you want to become anOracle Database Administrator (Oracle DBA), this course is designed for you!

This course follows astep-by-step, hands-on approach, combining easy-to-understand concepts with practical demonstrations and real DBA scenarios.

You will start with the fundamentals and gradually progress into Oracle Database architecture, installation, SQL, storage management, security, networking, backup and recovery, monitoring, performance tuning, andSQL query optimization.

Step-by-Step Learning Methodology

✨ Learn database fundamentals and Oracle DBA concepts

✨ Understand Oracle Database architecture, processes, and memory structures

✨ Install and configureOracle Database 21c

✨ Work with SQL, DDL, and DML commands

✨ Manage tablespaces, datafiles, and database storage

✨ Manage users, roles, privileges, and database security

✨ Configure Oracle networking, listeners, and connectivity

✨ Understand Oracle alert logs and database monitoring

✨ PerformRMAN full and incremental backups

✨ Restore and recover databases after failures

✨ Monitor databases usingOEM, AWR, ADDM, and Linux tools

✨ Troubleshoot Oracle database performance problems

✨ LearnSQL Query Optimization and Execution Plans

✨ Understand indexes, statistics, and the Oracle Optimizer

✨ Practice real-world DBA troubleshooting scenarios

✨ UseData Pump EXPDP and IMPDP for database export and import

Whether you are abeginner, IT professional, SQL developer, junior DBA, or someone looking to move into Oracle database administration, this course will give you a strong practical foundation.

Let's start your Oracle DBA journey and learn Oracle Database 21c step by step!

Who this course is for
⭐ Beginners who want to become Oracle DBAs
⭐ IT professionals moving into Oracle database administration
⭐ SQL developers who want to understand Oracle DBA concepts
⭐ Junior Oracle DBAs
⭐ Database support engineers
⭐ System administrators who want to learn Oracle
⭐ Students preparing for practical Oracle DBA work

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• views: 132
• date: 17 September 2026
• posted by: 0nelove

Power BI Complete Course: Beginner to Intermediate
Published 9/2026
Created by Deepak Rai
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 22 Lectures ( 1h 59m ) | Size: 1.1 GB

Learn Power BI, Power Query, DAX, Data Modeling, Visualizations, Dashboards & Build 3 Real-World Projects

What you'll learn
⚡ Learn Microsoft Power BI from beginner to intermediate level and build interactive reports and dashboards.
⚡ Connect, clean, transform, and prepare data using Power Query. Build effective data models, relationships, calculated columns, and measures.
⚡ Learn practical DAX for KPIs, calculations, business metrics, and data analysis.
⚡ Create professional data visualizations, interactive reports, filters, slicers, and dashboards.
⚡ Build 3 real-world Power BI projects covering E-commerce, Manufacturing, and Retail analytics.

Requirements
❗ No prior experience with Microsoft Power BI is required. Basic knowledge of computers and working with data is helpful but not mandatory.
❗ Basic Excel knowledge is recommended but not required. No programming or coding experience is required.
❗ A Windows computer with Power BI Desktop installed is recommended for hands-on practice. Learners should be willing to follow along and practice the three real-world projects.

Description
Learn Microsoft Power BI from beginner to intermediate level and build practical skills by working with real-world business scenarios. This course takes you from the fundamentals of Power BI to creating interactive reports, dashboards, metrics, and actionable business insights.

Build Practical Power BI Skills Through Real-World Projects
You will start by understanding the Power BI environment and gradually learn how to connect, clean, transform, model, analyze, and visualize data. The course is designed for hands-on learning, so you will not just learn Power BI features—you will apply them to practical business requirements.

Throughout the course, you will learn

✨ Microsoft Power BI fundamentals and Power BI Desktop

✨ Connecting to different data sources

✨ Data cleaning and transformation usingPower Query

✨ Data modeling and relationships

✨ Introduction toDAX, measures, and calculated columns

✨ Creating charts and interactivePower BI visualizations

✨ Creating tables, matrices, cards, KPIs, and other visuals

✨ Using filters, slicers, Include/Exclude, Spotlight, and Tooltips

✨ Creating Report Page Tooltips

✨ Designing interactive and professional Power BI reports

✨ Creating and analyzing importantbusiness metrics and KPIs

✨ Identifying trends, patterns, performance gaps, and actionable insights

✨ Using Microsoft Teams data to create a Power BI report

✨ Creating and presenting business dashboards

Build 3 Real-World Power BI Projects

The course also includes hands-on projects covering three different business domains

1. E-commerce Analytics Project
Analyze sales, revenue, products, customers, orders, categories, and business performance using Power BI.

2. Manufacturing Analytics Project
Work with manufacturing data to analyze production, performance, operational metrics, and business KPIs.

3. Retail Analytics Project
Analyze retail sales, customers, products, regions, categories, and performance to generate meaningful business insights.

You will follow an end-to-end analytics approach

Business Requirement → Raw Data → Data Cleaning → Data Modeling → DAX & Metrics → Visualization → Interactive Report → Business Insights
This course is suitable for beginners with no prior Power BI experience, as well as Excel users, Business Analysts, Data Analysts, Reporting/MIS professionals, Project Managers, and professionals who want to develop practical Power BI and data analytics skills.

By the end of the course, you will have the knowledge and hands-on experience to create interactivePower BI reports and dashboards, analyze business data, create meaningful metrics, and communicate insights effectively.

Most importantly, you will learn how to move beyond simply creating charts and use Power BI to answer real business questions and supportdata-driven decision-making.

Who this course is for
⭐ Beginners who want to learn Microsoft Power BI from scratch. Professionals who want to develop practical Power BI and Data Analytics skills.
⭐ Data Analysts, Business Analysts, and Reporting/MIS professionals. Excel users who want to move from spreadsheets to interactive Power BI dashboards.
⭐ Project Managers and business professionals who want to analyze data and create meaningful business reports. Learners who know the Power BI basics and want to advance to intermediate-level concepts through real-world projects.
⭐ Anyone who wants hands-on experience building E-commerce, Manufacturing, and Retail analytics projects using Power BI.

Download

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• views: 172
• date: 17 September 2026
• posted by: 0nelove

ServiceNow CMDB, CSDM &; Discovery Hands-On
Published 9/2026
Created by Arno Esterhuizen
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 52 Lectures ( 4h 56m ) | Size: 4.3 GB

Master Discovery, Service Graph Connectors, CMDB Health, Data Certification & CSDM 5 with hands-on ServiceNow labs

What you'll learn
⚡ ServiceNow Discovery end to end
⚡ Configure CMDB identification and reconciliation rules to stop duplicate CIs at the source
⚡ Run horizontal Discovery with MID Servers and the Agent Client Collector to populate the CMDB
⚡ Ingest cloud and third-party data using Service Graph Connectors and IntegrationHub
⚡ Govern CI ownership with Data Certification schedules and CI class governance policies
⚡ Measure CMDB Health using the Completeness, Compliance and Correctness KPIs and six metrics
⚡ Build a full business service stack in CSDM 5, from Service Offering to Service Instance
⚡ Manage CI life cycles with Life Cycle Stage fields and Dynamic CI Groups
⚡ Map every CIS-DF exam domain to hands-on tasks so you walk into the exam ready

Requirements
❗ Basic ServiceNow navigation skills (you can open a table, filter a list, and edit a record)
❗ A free ServiceNow Personal Developer Instance. Section 1 shows you how to request one and activate the plugins used in the course
❗ Familiarity with ITIL or ITSM concepts such as incidents, changes, and services is helpful but not required
❗ No Discovery, ITOM, or scripting experience needed. Every technical step is demonstrated on screen

Description
Your ServiceNow CMDB has thousands of CIs, and nobody trusts a single one of them. Duplicates, orphans, stale records, relationships that point nowhere. Every change goes through CAB with a "we think this is what it touches." That is the gap the CIS-DF Data Foundations certification was built to close, and it is the gap this course teaches you to fix.

This is not a slide-reading course. You work as the external CMDB specialist NovaTech Energy brought in to rebuild its data foundation, alongside Chris Harris, their senior Configuration Manager. Every configuration you make, every Discovery run, every certification schedule, solves a problem NovaTech is actually facing.

What You'll Learn
✨ Configure identification and reconciliation rules so duplicate and conflicting CI data never reaches the CMDB

✨ Run horizontal Discovery with MID Servers and the Agent Client Collector, and know exactly when Service Mapping takes over

✨ Ingest cloud and third-party data through Service Graph Connectors and IntegrationHub ETL, including a live Azure Discovery run

✨ Govern CI ownership with Data Certification schedules, CI class governance, and CSDM Life Cycle Stage fields

✨ Measure and improve CMDB Health using the Completeness, Compliance, and Correctness KPIs and the six metrics behind them

✨ Build a complete business service stack in CSDM 5, from Service Offering down to Service Instance and Dynamic CI Groups

Who this course is for
⭐ ServiceNow administrators and CMDB analysts preparing for the CIS-DF Data Foundations certification
⭐ ITSM and ITOM practitioners responsible for a CMDB they did not build and need to clean up, govern, and report on
⭐ Configuration Managers, process owners, and ServiceNow consultants who need working knowledge of Discovery, Service Graph Connectors, Data Certification, and CSDM 5
⭐ This course is not for learners with no ServiceNow exposure at all, and it is not a Service Mapping or Discovery pattern-development deep dive. If you want to write custom Discovery patterns, that is a separate path

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• views: 125
• date: 17 September 2026
• posted by: AD-TEAM

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• views: 190
• date: 17 September 2026
• posted by: 0nelove

Splunk for Cybersecurity: Master SIEM and Log Analysis
Published 9/2026
Created by Rob Cyber
MP4 | Video: h264, 2560x1440 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 44 Lectures ( 6h 39m ) | Size: 8.4 GB

Master Splunk queries, analyze security logs, build dashboards, and prepare for your first Cybersecurity Analyst role.

What you'll learn
⚡ Use Splunk to investigate cybersecurity events, analyze logs, and identify suspicious activity across Windows, cloud, network, and email data.
⚡ Master essential Splunk commands and search techniques used by SOC Analysts to filter data, find patterns, and support security investigations.
⚡ Build and analyze Splunk security dashboards that organize important events and help analysts quickly understand security activity.
⚡ Prepare for SOC and Cybersecurity Analyst interviews by learning how to explain Splunk investigations and answer common Splunk questions correctly.

Requirements
❗ No previous Splunk experience is required. This course is designed for beginners who want to build practical Splunk and SOC Analyst skills.
❗ Windows PC or Laptop with at least 8GB of RAM (16GB is recommended)
❗ You will need to install Virtual Box on your PC or Laptop. (Rob Cyber will give you a tutorial)
❗ Windows PC or Laptop is preferred
❗ Older Apple computers with INTEL CHIP (Before 2020) will work with the Splunk Virutal Machine
❗ WILL NOT WORK: New Apple M series (M1/M2/M3/M4/M5) will NOT work with Splunk Virtual Machine. Do Not Enroll

Description
Splunk is one of the most important tools for aspiring SOC and Cybersecurity Analysts, but knowing the name of the platform is not enough. Hiring managers want to know whether you understandhow Splunk is actually used to investigate security events, analyze logs, and support incident response.

This course is designed to help you build that practical knowledge so you can speak about Splunk with confidence during cybersecurity interviews and answer Splunk-related questions correctly when speaking with recruiters and hiring managers.

What You Will Learn

✨ Understand howSplunk is used inside a Security Operations Center.

✨ Analyze security data fromWindows, AWS, Microsoft Entra ID, Cisco firewalls, networks, and email systems.

✨ Identify important Splunkfields, events, and data sources during a cybersecurity investigation.

✨ Use essential Splunk commands includingTOP, TABLE, DEDUP, SORT, STATS, RARE, RENAME, AND, and NOT.

✨ Investigate web activity usingHTTP status codes and Splunk search queries.

✨ Build and understandSplunk security dashboards used to organize and visualize security activity.

✨ Work throughreal-world Splunk queries that reflect the types of searches a Cybersecurity Analyst may perform.

Build Skills You Can Talk About in the Interview

One of the biggest problems aspiring analysts face is learning cybersecurity tools but struggling to explain how they would actually use them on the job.

This course helps you move beyond definitions.

Instead of only knowing that Splunk is a SIEM, you will understand how an analyst can use Splunk to search Windows events, review cloud activity, investigate authentication logs, analyze firewall traffic, examine network data, and identify unusual behavior.

That gives you stronger examples to use when a hiring manager asks

How would you investigate an alert in Splunk?

What Splunk commands have you used?

What types of logs can Splunk analyze?

How would you search for suspicious activity?

How have you used dashboards during an investigation?
Prepare for SOC and Cybersecurity Analyst Opportunities

Without practical Splunk knowledge, it can be difficult to answer technical interview questions beyond basic definitions.

This course is designed to help you understandwhat to search, what the data means, and how Splunk supports a cybersecurity investigation so you can give stronger answers during the interview process.

The goal is to help you walk into your nextSOC Analyst or Cybersecurity Analyst interview with practical Splunk knowledge you can explain clearly, answer technical questions with greater confidence, and show the hiring manager that you understand how Splunk is used in a real security environment.

Who Is This Course For?
This course is designed for

✨ Aspiring SOC Analysts

✨ Aspiring Cybersecurity Analysts

✨ Entry-Level Cybersecurity Professionals

✨ IT Professionals transitioning into cybersecurity

✨ Help Desk and Technical Support Professionals

✨ Network and Systems Administrators

✨ Students preparing for cybersecurity careers

✨ Anyone who wants to add Splunk to their cybersecurity skill set

Important System Requirement
This course requires aWindows PC to run the provided Splunk Virtual Machine. The Splunk Virtual Machine isNOT compatible with newer Apple Mac computers using M-series Apple Silicon chips (M1, M2, M3, M4, etc.).

Certification Support: This is not an official certification exam-prep course. However, the training can help you build practical Splunk skills relevant to theSplunk Core Certified User certification and strengthen your understanding of SIEM, log analysis, threat detection, and security monitoring concepts covered inCompTIA Security+ andCompTIA CySA+.

Who this course is for
⭐ Entry-level IT and cybersecurity students who want to learn Splunk log analysis for cybersecurity and improve their chances of getting a job offer.

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