YouTube Learn with Cisco je vzdělávací kanál zaměřený na rozvoj IT dovedností - od sítí a bezpečnosti až po AI a přípravu na Cisco certifikace. Obsah je praktický, technický a orientovaný na to, aby pomohl profesionálům držet krok s rychle se měnícími technologiemi.
Ready to take your AI knowledge to the next level? The AI Technical Practitioner Advanced course has arrived, expanding on the original curriculum with a sharp focus on agent security and defense.
Explore the latest in:
Agent Security & Defense: Protecting your AI infrastructure.
Open Source Tech: Integrating modern tools for agents.
Hands-on Labs: Build practical skills with Defense Cloud and AI defense.
Whether you are looking to secure your deployments or expand your expertise with Cisco technologies like Splunk, this update is for you.
Check out the free preview on Cisco U today by searching for "AI Tech Advanced."
#CiscoU #AIAgents #CyberSecurity #TechEducation #Cisco #AI #CareerGrowth
🎓💡 Interested in teaching CCNA with Cisco Networking Academy at your educational institution? https://www.netacad.com/become-an-academy
Join renowned networking expert and author Wendell Odom for an insightful look into the evolution of the Cisco Certified Network Associate (CCNA) curriculum. In this session, Wendell explores the claim that the CCNA v2.0 exam makes you more job-ready for the IT industry. Of course, the CCNA v2.0 exam adds, removes, and changes topics. Which new and changed topics matter the most for that first industry job? Which topics should instructors focus on to ensure students know cold to make them better job candidates? Wendell takes us through the changes, sifts to reveal the most important for job-ready skills, and then drills down into a few new exam topics with a Packet Tracer demo that you can also do after the class.
Chapters
0:00 Session introduction
2:51 CCNA v2.0 exam overview
8:06 Breadth in the new blueprint
15:40 Q&A and audience poll
17:18 Depth and performance verbs
29:01 Q&A on exam expectations
36:00 Troubleshooting lab walk-through
52:43 Resources and concluding remarks
Ready to build your AI skills? Learn the core foundations of agentic AI with our new "AI Agent Fundamentals" course on Cisco U.—all at no cost.
Discover how agentic AI differs from traditional systems and explore the essential components of an agent, including:
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✅ Loops & Workflow integration
Whether you're just starting your AI journey or looking to understand the anatomy of an agent, this learning path is the perfect place to begin.
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#CiscoU #AIAgents #TechEducation #LearningPath #CiscoLife #AI
Cisco's new CCNA blueprint is here, and Domain 1 — Network Infrastructure and Connectivity — is the biggest piece of the exam at 25% of your questions.
In this episode, CCNA Experts Hank and Patrick walk through what changed and why. The headline shift: troubleshoot now appears throughout the domain where the current CCNA 1.1 leaned heavily on configuration and verification. That's intentional. With CCST Networking covering the fundamentals (basic IP addressing, foundational configuration), the CCNA trims that groundwork and steps up to the tasks a junior network engineer actually faces every day.
Resources from Hank and Patrick:
Join CCNA Prep to help you study and pass your exam: https://learningnetwork.cisco.com/s/ccna-live-stream?utm_campaign=ccna2.0&utm_source=social&utm_medium=youtube-ccna-refresh-exam-topics-series
Download the CCNA 2.0 Exam topics: https://learningnetwork.cisco.com/s/ccna-v2-exam-topics?utm_campaign=ccna2.0&utm_source=social&utm_medium=youtube-ccna-refresh-exam-topics-series
What's covered:
Why Domain 1 carries 25% of the exam weight
Task 1.6 — troubleshooting wired and wireless client connectivity, IP configuration, network reachability, and wireless security parameters across Windows, macOS, and Linux
Task 1.7 — DHCP moves from verification to full troubleshooting: configure it, confirm it, fix it
Why tasks 1.3 and 1.4 split IPv4 and IPv6 into separate items — guaranteeing balanced coverage of both protocols on every exam
The role of hands-on, performance-based lab questions, and why the testing center should never be your first time at a console
Recommended practice tools: Packet Tracer, and Cisco Modeling Labs (CML / CML Free) for larger, more advanced topologies
The CCNA sits inside Cisco's broader career certification portfolio, and this domain reflects that progression — from configuring the basics at CCST to diagnosing and resolving real network issues at CCNA.
Domain 2 is coming up next. Stay tuned.
Chapters
0:00 Building on CCST Networking Fundamentals
0:32 Domain 1: Network Infrastructure and Connectivity
0:36 What the 25% Exam Weighting Means
0:54 Task 1.6: Troubleshooting Client Connectivity
1:15 Real-World Help Desk Scenarios
1:45 Why "Troubleshoot" Appears Everywhere
2:27 Task 1.7: DHCP Moves Beyond Verification
2:53 How CCST and CCNA Fit Together
3:33 Tasks 1.3 and 1.4: Equal IPv4 and IPv6 Coverage
4:04 Hands-On Performance-Based Lab Questions
4:34 Practice with Packet Tracer and CML
4:50 Wrapping Up Domain 1 and What's Next
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#Cisco #CCNA #Networking #NetworkEngineer #CCST
Join us for a walkthrough of what’s new in Cisco Secure Network Analytics 7.6.1. We’ll highlight key enhancements designed to improve visibility, streamline day-to-day operations, and make common workflows easier to manage, including updates to Report Builder, detections and analytics management, Flow Collector support settings, database storage statistics, the Appliance Dashboard, Hyper-V platform support, AHGA-Maxmind integration, and ongoing UI modernization.
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🌐 Let’s Break it Down: CCST IPv4 vs IPv6 Edition
IPv4 and IPv6 can look like two completely different languages.
In this video, you can learn a bit about how:
📌 How IPv4 addressing works
📌How IPv6 addressing works
📌Learning both for the CCST
If you’re preparing for any CCST exam, understanding this difference is a game-changer.
💬 What part of IP addressing took you the longest to understand?
#CCST #CCSTNetworking #IPv4 #IPv6 #Cisco #NetAcad #CiscoU
The CCNA exam just got a major update! In this video, Patrick and Hank from Learn with Cisco break down what's changed in the new CCNA v2.0 blueprint and what it means for your certification journey.
📌 What You'll Learn:
Why hands-on, performance-based questions are more critical than ever
The shift toward troubleshoot and configure task types
What's actually changed in the new CCNA v2.0 (spoiler: it's still for junior network engineers!)
Why the exam now focuses more heavily on infrastructure content
What to expect from this domain-by-domain breakdown series
This is the first video in our CCNA v2.0 series, where we'll walk through each exam domain one at a time. Stay tuned for our upcoming videos covering Domains 1 through 5!
👉 If you're studying for your CCNA, make sure to get hands-on lab practice before exam day. Don't let your first time on a console be during the actual test!
Resources from Hank and Patrick:
Join CCNA Prep to help you study and pass your exam: https://learningnetwork.cisco.com/s/ccna-live-stream?utm_campaign=ccna2.0&utm_source=social&utm_medium=youtube-ccna-refresh-exam-topics-series
Download the CCNA 2.0 Exam topics: https://learningnetwork.cisco.com/s/ccna-v2-exam-topics?utm_campaign=ccna2.0&utm_source=social&utm_medium=youtube-ccna-refresh-exam-topics-series
Chapters
0:00 Why Hands-On Practice Matters for CCNA
0:34 Meet Patrick and Hank
0:44 Introducing CCNA v2.0
1:01 Community Buzz on the New CCNA
1:06 Don't Panic: What's Really Changed
1:20 Series Overview: Domains 1-5 Coming Up
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As network infrastructure evolves toward API-driven, programmatic management, traditional security models are struggling to keep pace. While protocols like gNMI, gNOI, and gRPC have transformed network automation, they have also created a gap in how we secure the management plane. Legacy AAA (Authentication, Authorization, and Accounting) models and manual certificate management are no longer sufficient for the speed and scale of modern, dynamic networks.
This session demystifies the OpenConfig security framework, offering a practical approach to modernizing your security posture.
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It's a rare two-host episode — just Matt and Kareem — and Kareem brought a demo worth the extra time.
Meet Iris: an agent skill (named after Kareem's daughter) that keeps an eye on your network. Built on top of the MCP servers we've covered across previous Snack Minutes, Iris lives where a lot of network engineers still live — the CLI. No context switching to a browser or desktop app. SSH into a device, pull the logs, launch Claude Code, and let it troubleshoot inline in the terminal you're already working in.
What Kareem walks through:
Why "AI for the network" usually assumes engineers will leave their comfort zone — and why an agent skill fixes that
How Claude Code and Codex go beyond writing code and start automating real operational workflows
The anatomy of an agent skill: CLAUDE.md for guiding principles, SKILL.md for the workflow, plus front matter, folders for your docs, and your existing Ansible/Terraform/Netmiko scripts
Iris auto-discovering its own tooling — ServiceNow, Cisco Modeling Labs, Meraki, NetBox, and Splunk — then propagating out to learn the topology and source of truth
Writing guardrails explicitly: discover before you assume, verify before and after every change, never push without approval, if something looks wrong, stop
A live run against ServiceNow incident 1003 — a request to connect a new AWS dev VPC to an on-prem site
Iris catching an ACL blocking ping that was never mentioned in the ticket
The bigger takeaway: the years of cognitive shortcuts you take for granted have to be written down for a model to follow them. Once they are, that skill becomes transferable — hand it to your teammates and the whole operations team works from the same rules.
Matt and Kareem also get into the part that matters most: humans stay in the loop. Not as someone clicking an approve button, but as the expertise that catches what the model gets wrong. If you can't read an ACL or configure iBGP, you can't approve the change — and you definitely can't debug it when it breaks.
Also discussed: model selection and cost. Kareem is running Opus on high effort via Amazon Bedrock, and explains why Sonnet wasn't holding up for this workload — plus the open question of whether a routing layer that picks the model for you just adds another layer of cost.
🔗 Try Iris: The skill is on GitHub — link below. Clone it, break it, and rewrite it to match how you operate. And yes, there's a skill that helps you build skills.
https://github.com/kiskander/iris
👉 Subscribe for more Snack Minute episodes on AI, automation, and the tools network engineers actually use.
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Chapters
0:00 Just Matt and Kareem today
0:41 The problem: AI makes you leave where you work
1:26 Claude Code and Codex beyond writing code
1:58 What an agent skill is — and what Iris does
2:20 Living in the CLI, not a browser tab
3:13 The workflow every network engineer knows
3:48 Launching Claude Code and invoking /iris
4:47 Inside CLAUDE.md: rules, tools, and connections
5:36 Source of truth, observability, and why MCP matters
6:04 Writing the guardrails
6:20 "Discover before you assume"
7:01 Verify, approve, and stop when something breaks
8:04 The lesson: you have to say it out loud
10:04 Skills are transferable across your team
11:16 SKILL.md and cutting the walls of text
11:49 Where to find Iris on GitHub
12:05 Front matter: how to start a skill
12:42 Auto-discovery on startup
13:14 Dropping in your docs, Ansible, and Terraform
13:39 The full workflow, step by step
15:28 Discovery run: ServiceNow, CML, Meraki, NetBox, Splunk
16:46 artifacts.md and local system access
17:34 Opus vs. Sonnet: results, effort, and cost
19:09 Could a router pick the model for you?
19:55 What Iris found: topology, configs, and incident 1003
20:59 Working the ServiceNow incident
21:57 From skill to autonomous agent
22:45 Why the human in the loop isn't just a button
24:03 Iris catches the ACL nobody asked about
25:21 Don't abstract away the knowledge
26:16 Go try it — and build your own skill
#Cisco #DevNet #NetworkAutomation #AgentSkills #MCP #ClaudeCode #NetworkEngineer #AIOps #ServiceNow #NetBox #Meraki #CiscoModelingLabs
Timing is everything when you're working through lablets — here's the strategy.
Aim for 8–10 minutes per lablet. You'll get five of them, so that pacing keeps you on track. If you look up and it's 20 minutes in and you're still on the first one, it's time to make a decision and keep moving.
Never skip an entire lablet. Each one carries a lot of points — a single lablet isn't the equivalent of one multiple-choice question. It might be worth five or seven. Skipping one leaves a big gap in your score.
Remember: partial credit counts. Tackle as much of each lablet as you can, even if you can't complete every task.
The time guidance you're given is a real signal of how heavily these lablets are weighted. Use it to plan your approach.
👉 Follow for more practical Cisco lab and certification guidance.
#Cisco #CCNA #NetworkEngineer #Networking #CiscoLabs #ITCertification #ExamStrategy #Shorts
Before you start any Cisco hands-on lab, there are a few ground rules that can make or break your score.
Rule 1 — Only change what the task asks for. Don't go off script. Stay focused on the tasks in front of you.
Rule 2 — Never change usernames, passwords, or hostnames. You won't be asked to, and doing it breaks our ability to evaluate your work. That means losing all the points for those questions. Yes, "cisco" is a weak password — but the lab isn't the place to fix that.
Rule 3 — Save your configurations. Just like in a real network, the last thing you do on every device is run copy run start. Commit those changes.
Keep these three in mind for every lab and you'll avoid the most common avoidable point losses.
👉 Follow for more practical Cisco lab and certification guidance.
#Cisco #CCNA #NetworkEngineer #Networking #CiscoLabs #ITCertification #Shorts
Struggling to get through your network engineering studies? You're not alone — and there's no shortcut.
In this short clip, we talk through the honest reality of learning to configure ACLs, interfaces, basic routing, and security. It's a lot to take on, and the only reliable path forward is hands-on repetition. Think of it like learning a trade: electricians and plumbers don't get good by reading about it, and neither do network engineers.
The advice is simple: put in the lab hours. Use Cisco Modeling Labs (CML), use Packet Tracer, and if you have access to real hardware, get your hands on it. Configure static routes 100 times before you ever sit down for an exam or a job interview. The skills come from the effort.
Tools mentioned in this video:
Cisco Modeling Labs (CML)
Cisco Packet Tracer
Physical lab hardware
If you're early in your networking journey, save this one and come back to it on the tough days.
Chapters
0:00 The question: one tip for people struggling
0:13 Acknowledging it: the job really is a lot
0:19 The tip — it takes practice
0:29 Lab tools: CML, Packet Tracer, and real hardware
0:32 Treat it like learning a trade
0:38 Configure static routes 100 times
0:46 Putting in the effort is what it takes
#cisco #NetworkEngineer #CCNA #Networking #PacketTracer #CiscoModelingLabs #ITCareers #Lab
Most people type a question into an AI tool and hope for a good answer. There is a better way to work.
Prompt Like an Engineer is a free 9 hour course from Cisco Networking Academy. You will learn how to design, test, and refine your prompts, work with both local and cloud based AI models, and check outputs so you know when to trust them. The course is beginner friendly and self paced, with 7 lessons and 35 short videos.
https://www.netacad.com/courses/apply-ai-prompt-like-engineer?courseLang=en-US
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Python is the foundation for most network automation workflows. In this session, you'll set up your Python environment and explore the basic scripting used to interact with APIs and automation tools.
You’ll also work through practice questions during the session to connect Python concepts with automation workflows tested across multiple CCNAAUTO exam domains.
Join the Slido discussion here: https://app.sli.do/event/dpHihWLEzhzYVvKkSoDDpT
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