Workshop Details
Ansible Engineer Workshop
Master Infrastructure Automation
Format:
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Live, Instructor-Led | Hands-On Virtual Training
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Duration: 1 Week
What You'll Learn:
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Install and configure Ansible control nodes
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Use ad-hoc commands to manage systems and services
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Write structured, idempotent playbooks
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Create and use variables, handlers, and templates (Jinja2)
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Build reusable Ansible roles for modular deployments
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Automate full-stack infrastructure in a real environment
Who Should Attend:
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IT professionals and junior sysadmins seeking automation skills
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DevOps engineers and infrastructure coders
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Security professionals and developers looking to automate securely
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Students and career-changers aiming for hands-on IaC experience
Why Take This Workshop?
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Live Instructor-Led Sessions – Get real-time answers, not pre-recorded videos
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Hands-On Automation Labs – Build, test, and deploy real infrastructure with Ansible
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Job-Focused Training – Learn the exact skills used by modern DevOps and systems engineers
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Capstone Project – Automate the deployment of a full-stack system using variables, handlers, templates, and roles
Schedule:
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Monday–Thursday: 8:15 PM – 9:35 PM EST
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Saturday: Capstone Project Presentations (8:15 AM EST)
Syllabus:
Day 1: Getting Started with Ansible
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Install and verify Ansible
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Set up inventory and SSH access
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Use ad-hoc commands (user, file, package, ufw)
Day 2: Playbooks in Action
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Learn YAML and playbook structure
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Create repeatable, idempotent scripts
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Use become, tasks, tags, and modules
Day 3: Variables, Handlers, Templates
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Use variables and system facts
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Create handlers for changes
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Build dynamic config files with Jinja2
Day 4: Roles and Real Deployments
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Create roles using ansible-galaxy
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Organize tasks, handlers, and templates
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Deploy full stacks with site.yml
Day 5: Capstone Project
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Automate and present a complete infrastructure deployment
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Showcase templating, roles, reusability, and idempotency
Prerequisites & Recommendations:
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AWS account required for hands-on practice
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Recommend completing our Linux Admin Workshop if new
Bash Scripting Workshop
Real-World Automation in One Week
Format:
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Live, Instructor-Led | Hands-On Virtual Training
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Duration: 1 Week
What You’ll Learn:
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Writing and executing Bash scripts
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Using variables, loops, functions, and conditional logic
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Automating system tasks, reports, and user interactions
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Performing file input/output, logging, and validation
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Creating practical automation tools with core Linux commands
Who Should Attend:
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Beginners and IT professionals new to scripting
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Junior sysadmins or analysts looking to level up
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DevOps and security practitioners who need better tools
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Students preparing for IT and cloud roles
Why Take This Workshop?
-
Live, instructor-led sessions with real-time demos and Q&A
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Build and test working scripts every session
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Learn how to automate practical IT tasks
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Gain skills you can use in real sysadmin, DevOps, or SOC roles
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Receive feedback and guidance on your final project
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Post-course Discord access for continued support
Schedule:
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Monday–Thursday: 8:15 PM – 9:35 PM EST
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Saturday: Capstone Project Presentations (8:15 AM EST)
Syllabus:
Day 1: Bash Basics
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Shell scripting introduction
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Echo, variables
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Input, and arithmetic
Day 2: Control Flow
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Conditionals
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Comparisons
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For/while loops
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Logic building
Day 3: Functions & Tools
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Script modularity
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Reusable functions,
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Using date, uptime & who
Day 4: Arrays & File I/O
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Arrays, file reading/writing
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logging,
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Error handling
Day 5 (Saturday): Capstone Project
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Build and present a fully functional Bash automation too
Recommendation & Prerequisites
Complete our Linux Admin Workshop if you’re unfamiliar with Linux or CLI environments.
Prerequisite:
AWS account to launch virtual machines for labs and exercises.
Limited to 10 Participants – Secure Your Spot Today
Linux Admin Workshop
Master core admin skills in one week
Format:
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Live, Instructor-Led | Hands-On Virtual Training
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Duration: 1 Week
What You'll Learn?
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Learn user management, networking, security, automation
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Troubleshooting in a real-world environment.
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Build your own Linux server, secure it, automate tasks
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Deploy a working application services.
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Master Linux administration
Who Should Attend?
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Absolute beginners exploring IT or cybersecurity
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Entry-level IT professionals moving into system admin roles
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DevOps and Cloud learners who need Linux experience
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Students preparing for Linux+, RHCSA, or similar certifications
Why Take This Workshop?
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Live Training – Learn directly from an instructor, not from pre-recorded videos.
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Real-World Practice – Perform tasks a Linux admin does daily.
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Capstone Project – Build and secure a working Linux server from scratch.
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Mentorship – Get feedback, help with troubleshooting and career guidance.
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Post-Course Support – Access to Discord for 3 weeks after the course ends.
Whether you're pursuing a role in cybersecurity, DevOps, cloud, or IT ops—Linux is essential, and this course gets you there faster.
Schedule:
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Live Training: Monday–Thursday, 8:15 PM – 9:35 PM EST
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Capstone Project Session: Saturday, 8:15 AM EST
Syllabus:
Day 1: Linux Fundamentals & File System Management
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Command-line navigation
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Directory structure & permissions
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System monitoring & basic troubleshooting
Day 2: User Management & Security
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Creating users & groups
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SSH hardening and access control
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Basic firewall setup (UFW)
Day 3: Networking & Monitoring
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Troubleshooting connectivity issues
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Managing open ports & firewall rules
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Reading logs & monitoring system performance
Day 4: Automation & Web Server Deployment
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Automating tasks with cron jobs
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Installing and securing Linux services
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Deploying a web application in the cloud
Day 5: Capstone & Study Hall
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Submit and review your final project
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Perform real-world troubleshooting tasks
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Q&A and final advice for next steps
Prerequisite:
You’ll need an AWS Account (https://aws.amazon.com) to launch your own virtual machines for hands-on practice.
Limited Seats: Only 10 per cohort—first come, first served
Python Automation Workshop
Master real-world automation in one week
Format:
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Live, Instructor-Led
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Hands-On Coding
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Real-Time Q&A and Feedback
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Post-Course Access to Code Samples & Materials
What You'll Learn:
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Python basics: syntax, variables, data types, input/output
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Control flow with conditionals and loops
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Writing and using functions, importing modules
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Working with files: reading, writing, error handling
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Using lists and dictionaries to manage data
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Building interactive CLI-based tools and automation scripts
Who Should Attend:
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Beginners with no prior programming experience
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IT professionals looking to learn scripting and automation
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Helpdesk and support staff ready to level up with Python
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Cybersecurity learners looking to automate tasks and parse data
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Anyone interested in Python for system tasks, CLI tools, or custom workflows
Why Take This Workshop:
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Live instruction from a real-world Python practitioner
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Guided walkthroughs of real-world use cases in IT and security
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Hands-on practice with immediate feedback
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Build a project portfolio piece you can showcase
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Continued post-course support via our Discord community
Schedule:
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Live Training: Monday–Thursday, 8:15 PM – 9:35 PM EST
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Capstone Presentation: Saturday at 8:15 AM EST
Syllabus:
Day 1: Python Fundamentals
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Installing Python and running scripts
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Using variables, data types, and arithmetic operations
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Writing input/output programs
Day 2: Control Flow:
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Writing conditionals (if/else)
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Looping with for and while
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Creating interactive logic-based scripts
Day 3: Functions & Modules
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Writing functions and returning values
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Importing standard libraries (random, datetime, os)
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Building reusable logic and automation examples
Day 4: Data Structures & File I/O
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Using lists and dictionaries to store data
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Reading and writing files
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Error handling with try/except
Day 5: Capstone Project (Saturday)
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Build a working app: to-do list, quiz game, budget tracker, or custom idea
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Use all core Python features in a real scenario
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Present project to peers and instructor for feedback
Recommended Preparation:
If you're new to Linux or command-line navigation, we strongly recommend taking the Linux Admin Workshop first. It provides foundational skills in system navigation, file structures, and permissions—essential for scripting effectively.
Prerequisites:
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AWS Account: To launch a virtual machine for hands-on scripting practice
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Splunk.com Account (optional): For learners wanting to explore automation around log data and SIEM workflows
Seats are limited—first come, first served.
Splunk Admin Workshop
Master Core Admin Skills in One Week
Format:
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Live, Instructor-Led | 100% Hands-On | Fully Virtual
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Duration: 1 Week
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Schedule: Mon–Thurs, 8:15 PM – 9:35 PM EST | Capstone: Saturday, 8:15 AM EST
What You'll Learn:
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Deploy and manage Splunk in a distributed or standalone environment
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Configure indexes, monitor inputs, and apply data retention policies
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Create users and assign RBAC roles using the Web UI and configuration files
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Monitor system health, validate ingestion, and troubleshoot performance
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Use CLI and conf files (inputs.conf, indexes.conf, authorize.conf) to manage Splunk behavior
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Complete a real-world capstone project simulating enterprise Splunk administration
Who this Workshop is For:
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Entry-level analysts, junior sysadmins, or IT operations professionals
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Anyone transitioning into a Splunk Admin or infrastructure monitoring role
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Those preparing for Splunk certifications or real-world job readiness
Schedule:
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Live Training: Monday–Thursday, 8:15 PM – 9:35 PM EST
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Capstone Presentation: Saturday at 8:15 AM EST
Syllabus:
Day 1: Splunk Setup & Architecture
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Standalone vs distributed models
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Deploying Splunk on EC2, key system paths
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Overview of Indexers, SHs, Forwarders, Deployment Server
Day 2: Users, Roles, and Permissions
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Creating roles with authorize.conf and Web UI
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Assigning capabilities, search restrictions, and quotas
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RBAC design for real-world teams
Day 3: Monitoring and Health Checks
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Using the Monitoring Console
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Reviewing internal logs: splunkd.log, metrics.log
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Detecting and resolving ingestion issues
Day 4: Indexes, Inputs, and Data Retention
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Creating indexes and inputs via CLI and conf files
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Understanding index buckets and retention
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Performing maintenance and backups
Day 5: Capstone Simulation
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Build and present your own Splunk deployment
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Create indexes, configure RBAC, onboard data, and validate access
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Receive live feedback from instructors and peers
Prerequisites:
-
AWS account (for launching your own EC2-based Splunk environment)
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Splunk account (for downloading the Enterprise installer)
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Recommended: Complete the Linux Admin and Splunk Fundamentals Workshops first.
Result:
By the end of this workshop, you’ll walk away with job-ready Splunk admin skills and your own fully configured Splunk environment for ongoing practice and demonstration.
Splunk Architect Workshop
Build and Deploy Distributed Environments
Format:
Live, Instructor-Led | 100% Virtual | Fully Hands-On
What You'll Learn:
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Design and deploy a clustered Splunk environment using AWS EC2
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Configure and manage Indexer and Search Head clusters
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Use Terraform and Ansible to automate deployments
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Deploy apps and configurations using the Deployment Server
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Perform data ingestion, health checks, and forwarder management
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Complete a capstone simulation of an enterprise Splunk architecture
Who Should Attend:
Junior/mid-level Splunk admins ready to work on clustered environmentsCloud engineers, DevOps, and SOC professionals deploying Splunk at scaleStudents preparing for Splunk Certified Architect or hands-on rolesIT pros who want real-world log pipeline and architecture experience
Why This Workshop?
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Live Instructor-Led Training – Learn directly from a working Splunk architect with hands-on enterprise experience
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Hands-On Architecture – Build distributed Splunk environments including indexers, search heads, deployment servers, and cluster managers
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Enterprise Design Focus – Understand how components like clustering, deployment clients, and deployment apps work together
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Real-World Use Cases – Configure clustering, forwarders, field extractions, deployment apps, and RBAC for realistic enterprise scenarios
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Capstone Project – Rebuild your entire clustered environment and demonstrate your ability to architect, automate, and troubleshoot a full Splunk stack
Schedule:
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Live Training: Monday–Thursday, 8:15 PM – 9:35 PM EST
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Capstone Presentation: Saturday at 8:15 AM EST
Syllabus:
Day 1: Architecting the Control Node
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EC2 provisioning with Terraform
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SSH/Ansible configuration
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Inventory preparation for distributed deployment
Day 2: Indexer Cluster Setup
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Cluster Manager & peer configuration
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Replication and search factor tuning
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Disabling unnecessary services (e.g. Splunk Web on Indexers)
Day 3: Forwarder Pipeline and App Deployment
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Deployment Server setup and serverclass.conf
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Forwarder configuration: deploymentclient.conf, outputs.conf
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Deploying field extraction apps to Search Head cluster
Day 4: Search Head Cluster Configuration
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SH cluster bootstrapping and captain promotion
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App deployment via SH deployer
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Final validation of logs, fields, and ingestion paths
Day 5: Capstone Simulation
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Students recreate the entire clustered architecture
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May use automation (Ansible, Terraform) or manual deployment
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Recorded walkthrough with peer/instructor review
Recommended:
Completion of our Linux Admin, Ansible Automation, Splunk Fundamentals, and Splunk Admin workshops.
Prerequisites:
-
AWS account to launch virtual machines
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Splunk account to download software
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Basic familiarity with Linux and Splunk CLI preferred
Splunk Developer Workshop
Build & Deploy Production-Ready Content
Format:
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Live, Instructor-Led | Hands-On Virtual Training
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Duration: 1 Week
What You'll Learn:
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Design dashboards using real log data (proxy, firewall, IDS)
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Use SPL to build visualizations for investigations and monitoring
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Add dropdowns, filters, and tokens for interactive dashboards
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Use base searches to optimize performance and improve maintenance
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Build a Splunk app with nav menus, metadata, and multiple views
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Complete a capstone project by creating a fully deployable security monitoring app
Who This Course is For:
-
Aspiring Splunk Developers and Detection Engineers
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SOC Analysts and Threat Hunters who want to create dashboards
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Security/IT professionals building monitoring content
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Students preparing for Splunk Developer or Power User certification
Why This Workshop:
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Live instructor-led training with hands-on walkthroughs
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Build production-quality Splunk dashboards and apps
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Learn from a Splunk engineer with real-world SOC and developer experience
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Use real data and enterprise-style development workflows
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Capstone project simulates delivery of a production Splunk app
Schedule:
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Live Training: Monday–Thursday, 8:15 PM – 9:35 PM EST
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Capstone Presentation: Saturday at 8:15 AM EST
Syllabus:
Day 1: Dashboard Design with Security Data
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Ingest sample proxy logs, build visualizations
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Learn SPL essentials, layout and best practices
Day 2: Inputs, Tokens, and Base Searches
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Add dropdown filters, refactor with base searches
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Tokenize interactivity and scale dashboard architecture
Day 3: Advanced Dashboarding with New Data
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Ingest new data source (e.g., firewall logs)
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Build a dashboard for threat monitoring and policy violations
Day 4: Splunk App Packaging & Navigation
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Create app folders, move dashboards, define navigation
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Set permissions and package for deployment
Day 5: Capstone Project
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Ingest new data, build a full app with multiple dashboards
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Use tokens, inputs, nav, and metadata
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Present project as a complete, ready-to-deploy app
Recommended Background:
This is a beginner-friendly but technically focused workshop.
Recommended prerequisite courses:
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Linux Admin Workshop
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Splunk Fundamentals Workshop
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Splunk SPL Workshop
Prerequisites:
-
AWS account (for EC2 instance)
-
Splunk account (to download Splunk)
Splunk Engineer Workshop
Master Core Engineering Skills in One Week
Format:
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Live, Instructor-Led | Hands-On Virtual Training
-
Duration: 1 Week
What You'll Learn:
This course teaches you how to work as a Splunk Engineer in a real-world environment. You’ll learn how to ingest, parse, monitor, and visualize log data using configuration files, SPL, and built-in tools.
Who Should Attend:
Aspiring Splunk engineers or detection engineers
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SOC analysts or IT professionals responsible for log visibility
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Security and cloud engineers building ingestion pipelines
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Students and self-learners preparing for hands-on data roles
Why This Workshop?
-
Learn from a real-world Splunk engineer
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Practice conf-file engineering from scratch
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Create dashboards and alerts based on real data
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Submit a capstone project simulating job tasks
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Includes 3 weeks of Discord-based post-course support
Schedule:
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Monday–Thursday: 8:15 PM – 9:35 PM EST
-
Saturday: Capstone Project & Presentations
Syllabus:
Day 1: Data Onboarding
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Splunk config file overview
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Create custom apps
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Use inputs.conf and indexes.conf for log ingestion
Day 2: Field Extraction
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Use props.conf and transforms.conf
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Apply REGEX, REPORT, EXTRACT
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Verify results in search
Day 3: Dashboards
Use SPL to create dashboards and panels
Visualize trends, errors, and top activity
Day 4: Alerts & Monitoring
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Schedule alerts for specific log conditions
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Detect gaps, errors, or abnormal behavior
Day 5 (Saturday): Capstone Project
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Choose a log type
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Build ingestion config and field extractions
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Create a dashboard with at least one alert
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Present findings
Requirements:
-
AWS Account for VM access
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Splunk Account to download software
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Strongly Recommended: Linux Admin, Splunk Fundamentals, Splunk Admin
-
Workshops
Beginner-friendly, but best paired with Splunk Fundamentals and Linux Admin Workshops.
Splunk Fundamentals Workshop
Master Splunk from the Ground Up
Format:
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Live, Instructor-Led | Hands-On Virtual Training
-
Duration: 1 Week
What You’ll Learn:
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How Splunk ingests and indexes machine data
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Installing and setting up Splunk on your own AWS EC2 instance
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Writing SPL queries to search and filter logs
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Creating dashboards and visualizations to monitor activity
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Applying Splunk in IT operations, security monitoring, and troubleshooting
Who Should Attend:
-
Beginners with no prior Splunk experience
-
IT professionals learning SIEM and log analysis tools
-
Entry-level cybersecurity analysts and aspiring SOC members
-
Developers and engineers needing visibility into log data
-
Students prepping for Splunk certification or data roles'.
Why This Workshop?
-
Live Instructor-Led Sessions – No pre-recorded content
-
Real-World Use Cases – Practice tasks that mirror real job roles
-
Hands-On Labs – Build and interact with your own Splunk environment
-
Capstone Project – Ingest data, analyze logs, and present a working dashboard
-
Post-Course Support – 3 weeks of continued Q&A via Discord
Schedule:
-
Live Training: Monday–Thursday, 8:15 PM – 9:35 PM EST
-
Capstone Presentation: Saturday at 8:15 AM EST
Syllabus Overview
Day 1: Getting Started with Splunk
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Installing Splunk on EC2
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Splunk Web UI Tour
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Introduction to Search Processing Language (SPL)
Day 2: Data Ingestion & Indexing
-
Adding data to Splunk (files & logs)
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Understanding sourcetypes, indexes, and inputs
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Using SPL to search and filter data
Day 3: Visualization & Alerting
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Using stats, table, dedup, and top commands
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Creating dashboards, reports, and alerts
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Dashboard drilldowns and input types
Day 4: Applied Use Cases & Optimization
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Simulated security/IT operations tasks
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Search optimization and best practices
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Building out your capstone dashboard
Day 5: Capstone Project (Saturday)
-
Present your working Splunk dashboard
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Walkthrough data ingestion and visualizations
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Receive instructor and peer feedback
Registration & Access
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Only 10 seats per session to ensure individual support
-
One-time payment, no subscriptions or upsells
-
All materials and cheat sheets available for continued use
Recommended Preparation:
-
Complete the Linux Admin Workshop if you're new to command-line interfaces or Linux systems
-
Create an AWS account to deploy virtual machines
-
Create a Splunk account to download Splunk Enterprise
Splunk SPL Workshop
Learn to Search, Analyze & Investigate Logs
Format:
-
Live, Instructor-Led | Hands-On Virtual Training
-
Duration: 1 Week
What You'll Learn:
-
Write structured SPL queries to filter and analyze machine data
-
Use key SPL commands like fields, table, where, sort, eval, and rename
-
Extract fields using rex and regex
-
Apply stats, timechart, and tstats for aggregation and visualization
-
Use lookup tables and inputlookup to enrich event data
-
Build dashboards that turn raw logs into actionable insights
-
Complete a capstone project using real-world data
Who Should Attend:
-
This workshop is ideal for:
-
Beginners new to Splunk and data analysis
-
Security analysts, SOC support, IT professionals
-
Students preparing for cybersecurity or detection roles
-
Professionals transitioning into log analytics and SIEM
Why This Workshop:
-
Live instruction from real-world practitioners
-
Hands-on labs using real-world data
-
Real-time support and interactive Q&A
-
End-of-week capstone project to simulate analyst workflows
-
3 weeks of post-course Discord support
Schedule:
-
Live Training: Monday–Thursday, 8:15 PM – 9:35 PM EST
-
Capstone Presentation: Saturday at 8:15 AM EST
Syllabus:
Day 1: SPL Basics: Searching, Filtering & Formatting
-
Foundational commands (fields, table, sort, where, eval, rename)
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Run searches on Splunk internal logs and build analysis tables
Day 2: Conditional Logic, Filtering & Regex
-
Conditional expressions: if(), case()
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Pattern extraction with rex
-
Build regex for field extraction and labeling
Day 3: Stats, Aggregation & Time Series
-
Use stats, timechart, tstats to detect trends
-
Time binning and comparison logic for visual dashboards
Day 4: Lookups & Enrichment
-
Upload and define lookup tables
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Use lookup and inputlookup to enrich log data
-
Apply case and eval to categorize and tag data
Day 5: Capstone Project (Saturday)
-
End-to-end investigation using enriched data and SPL
-
Present final dashboards and SPL logic in peer-reviewed format
Recommended Prep:
-
We recommend completing the following before enrolling:
-
Linux Admin Workshop
-
Splunk Fundamentals Workshop
-
These workshops provide foundational skills in Linux navigation, log onboarding, and Splunk basics that will help you succeed in SPL.
Prerequisites:
-
AWS Account for launching EC2 instances
-
Splunk.com account to download Splunk
Gain the confidence and skills to use SPL for security investigations, performance monitoring, and operational visibility in real enterprise environments.