IT & Software100% OFF

Un-official Cisco 300-420 Enterprise Networks ENSLD Test

Udemy Instructor

0(318 students)

Self-paced

All Levels

About this course

This course is not affiliated with, endorsed, or sponsored by Cisco. All trademarks belong to their respective owners. These are unofficial practice tests for exam preparation purposes only.

The Cisco 300-420 ENSLD (Designing Cisco Enterprise Networks) exam is a 90-minute exam that certifies a candidate's knowledge of enterprise design. It is a concentration exam for the CCNP Enterprise certification. Exam DetailsDuration: The exam is 90 minutes long.

Number of Questions: The exam consists of approximately 55 to 65 questions. The exact number can vary. Passing Score: The passing score is not a fixed number, but it is typically a variable score between 750 and 850 out of 1000.

Course Description:The 300-420 ENSLD exam covers a range of topics related to designing Cisco enterprise networks. The key domains and their weight on the exam are:Advanced Addressing and Routing Solutions (25%): This section covers the design of structured IPv4 and IPv6 addressing plans and the design of stable, secure, and scalable routing solutions using protocols like OSPF, EIGRP, IS-IS, and BGP. Advanced Enterprise Campus Networks (25%): This domain focuses on designing campus networks for high availability, Layer 2 and Layer 3 infrastructures, and understanding the Cisco SD-Access architecture.

WAN for Enterprise Networks (20%): You'll be tested on your knowledge of various WAN connectivity options, designing site-to-site VPNs, and ensuring high availability for enterprise WANs. Network Services (20%): This section covers selecting and designing Quality of Service (QoS) strategies, network management techniques, and designing multicast services.

Skills you'll gain

Network & SecurityEnglish

Available Coupons

Course Information

Level: All Levels

Suitable for learners at this level

Duration: Self-paced

Total course content

Instructor: Udemy Instructor

Expert course creator

This course includes:

📹Video lectures
📄Downloadable resources
📱Mobile & desktop access
🎓Certificate of completion
♾️Lifetime access

$0$96.99

Save $96.99 today!

Enroll Now - Free

Redirects to Udemy • Limited free enrollments

Share this course

https://freecourse.io/courses/un-official-cisco-300-420-enterprise-networks-ensld-test

This course contains the use of artificial intelligence.AI is transforming software development, but every intelligent application introduces new security challenges. From chatbots and large language models to autonomous AI agents, organizations need professionals who understand how AI systems can be attacked—and how to defend them.Welcome to AI Security Fundamentals: Secure LLMs and AI Applications, a practical course covering AI cybersecurity, Generative AI security, LLM security, and the controls used to protect real-world AI applications. You'll move beyond theory to explore common vulnerabilities, implement defenses, and test your work through guided, hands-on labs.What You'll LearnYou'll start with AI security fundamentals, AI threat modeling, attack surfaces, and trust boundaries. Then you'll investigate the risks highlighted by the OWASP Top 10 for LLM Applications, including prompt injection, indirect prompt injection, sensitive data disclosure, data leakage, model supply chain attacks, and data poisoning.You'll also explore Retrieval-Augmented Generation (RAG) security, vector database security, access control, insecure output handling, and system prompt leakage. As AI applications become more autonomous, you'll learn to reduce AI agent security risks, excessive agency, tool-calling vulnerabilities, and unauthorized actions through least-privilege access, authorization checks, and human approval workflows.Security isn't only about finding vulnerabilities. You'll build defenses using input validation, output validation, PII redaction, authentication, API security, rate limiting, model integrity verification, and defense-in-depth architecture. You'll practice secure AI development, DevSecOps for AI, security testing, AI security monitoring, and incident response.Learn by BuildingThroughout the course, you'll work with BrightDesk, a fictional enterprise AI customer-support assistant. Step by step, you'll assess its architecture, identify threats, protect sensitive data, secure retrieval workflows, validate model artifacts, and control AI agent permissions.Hands-on exercises use accessible tools such as Python, FastAPI, Ollama, FAISS, and pytest. You'll learn how to perform controlled tests in a local environment, evaluate defenses, and document residual risks. No paid AI API subscription is required, and starter examples make the practical work approachable.You'll also become familiar with widely used guidance including NIST AI Risk Management Framework (AI RMF), MITRE ATLAS, and OWASP LLM security resources.The final capstone connects everything: you will create a security checklist, map AI application vulnerabilities, add practical safeguards, run security regression tests, and present findings to stakeholders. This mirrors how real teams collaborate across engineering, architecture, privacy, and security—not by promising perfect protection, but by continually improving measurable controls over time.Who Should Enroll?This course is designed for software developers, AI engineers, solution architects, cybersecurity analysts, security engineers, DevSecOps professionals, and technical leaders responsible for deploying AI safely. Beginners are welcome; basic Python familiarity is helpful for coding exercises but not mandatory.By the end, you'll have more than a vocabulary of AI threats. You'll have practiced applying security controls, producing an AI security risk assessment, and building a portfolio-ready secure AI application prototype. Whether you're securing your first LLM-powered chatbot or reviewing an enterprise AI architecture, you'll leave with a practical foundation for making AI applications more resilient.Enroll and start building AI systems with security in mind from day one.

Agentic AI Red Teaming: Hands-On Security Testing

Udemy Instructor

This course contains the use of artificial intelligence.AI agents do more than answer questions. They plan, call tools, store memories, coordinate with other agents, and take action. Every capability creates a new security boundary. This hands-on course, Agentic AI Red Teaming: Hands-On Security Testing, teaches you to evaluate those boundaries and uncover failures before they reach production.You'll learn agentic AI security, AI red teaming, LLM security testing, and adversarial AI evaluation through a realistic enterprise case study: BrightDesk, a fictional multi-agent customer support platform. Instead of relying on slides alone, you'll work with an isolated AI agent testing sandbox, synthetic records, mock APIs, local tools, and repeatable tests. See how an apparently harmless instruction can redirect a plan, trigger an inappropriate tool call, or contaminate later decisions.What You'll LearnMap AI agent attack surfaces across planning loops, prompts, tool execution, external data, long-term memory, and multi-agent orchestration.Test prompt injection, goal hijacking, instruction override, multi-turn attacks, and gradual goal drift without touching real customer systems.Evaluate tool-call exploitation, unsafe tool chaining, excessive permissions, weak authorization, and untrusted tool responses.Investigate memory poisoning, persistent state attacks, context manipulation, and retrieval-based threats in RAG workflows.Examine agent-to-agent communication, cross-agent manipulation, false consensus, compromised workers, and multi-agent coordination failures.Assess Model Context Protocol (MCP) security, tool metadata integrity, and unsafe integration boundaries.Design adversarial test cases, automated security regression testing, execution traces, and AI security scorecards.Measure cascading failures, propagation depth, blast radius, unsafe action rates, and the difference between single-turn failure and system-wide compromise.Apply least privilege, policy enforcement, approval gates, memory validation, monitoring, and defense-in-depth, then retest to verify improvements.Build Practical Red-Team SkillsUsing Python, Ollama, LangGraph, FastAPI, and pytest, you'll develop an agent testing environment and run controlled scenarios against BrightDesk. Explore AI threat modeling, risk prioritization, evidence collection, trace analysis, and security reporting. You'll also encounter concepts from the OWASP Top 10 for Agentic Applications, MITRE ATLAS, and AI governance, connecting technical findings to real enterprise risk decisions.You'll practice distinguishing a model's incorrect answer from an agent's unauthorized action, and you'll learn why execution logs, reproducible scenarios, and clear pass/fail criteria matter when testing complex, stateful AI workflows in enterprise environments.Your capstone is an end-to-end agentic AI penetration testing exercise in an authorized simulation. Create a threat model, execute structured adversarial evaluations, document vulnerabilities, introduce safeguards, and compare security results before and after remediation. You'll leave with reusable test templates, a security evaluation framework, and a portfolio-ready assessment report.Who Should Enroll?This course is designed for AI engineers, LLM developers, application security engineers, red teamers, penetration testers, AI architects, security researchers, and teams building autonomous AI agents or enterprise generative AI solutions. Basic Python skills and familiarity with LLMs or APIs will help; prior professional red-team experience isn't required.If you're moving from traditional cybersecurity to agentic AI risk management, or building production agents that must be trustworthy, this course gives you a structured, hands-on way to test what happens when an AI system does more than talk.

Blue Prism Foundation Course Step By Step

Udemy Instructor

This Course is Designed to Learn RPA with orientation and structure of Blue Prism, installation, Stages, Exception handling, Application Modeller, Queue management, Control Room and many more. This Course covers many aspects of RPA to keep the technology up to speed.This course is for everyone , Especially for Beginners , how wants to learn Blue Prism step by step to automate mundane tasksBy the End of the course , you will be able to :? Introduction to Blue Prism Software ? Installation Process for Blue prism software? Configuration And Activation of Blue Prism ? Key Areas in Blue Prism product ? 6 : How to Create an User Account in Blue Prism ? 7 : Introduction to Process Studio & Create Sample Process ? 8 : Stages and Data items in Process Studio ? 9 : Working with Calculation stage and DataItem stage ? 10 : Working with Multi Calculation stage ? 11 : Working with Decision stage and Anchor ? 12 : Working with Choice stage ? 13 : Working with Collection stage ? 14 : Working with Loop stage ? 15: VBO & How to import Business Objects in Blue Prism ? 16 : Working with ACTION stage (With SQL Database) ? 17 : Working with PAGES in process ? 18 : Working with PROCESS Stage in process ? 19 : Introduction to Business Object & Create Sample Object using Object Studio ? 20 : Difference Between Process Studio and Object Studio ? 21 : Introduction to Application Modeller in Object Studio (Working with FaceBook) ? 21 Continuation : Working With Navigate, Wait , Write Stages in Object Studio ? 22 : Working With Read Stages in Object Studio (Create an Account in Facebook) ? 23 : Working With CODE Stage in Object Studio ? 24 : Overview of Exception Handling / Error Handling in Blue Prism ? 24 A : Working With Recover, Resume Stages in Object Studio (Example: FaceBook) ? 24 B : Working With Exception Stage and Block stage in Object Studio ? 24 C : What is Exception Bubbling in Blue Prism ? 25 : How to Publish an Action in Business Object ? 26 : Working With ALERT Stage in Process Studio (Detailed) ? 27 : How to Export Process/Business Object In Blue Prism ? 28 : Overview Of Control Room ? 29 : Working with Session Management in Control Room ? 30 : Working with Session variables in Control Room ? 31 : Introduction to Queue Management in Blue Prism ? 32 : Working Session with WORK QUEUES in Queue Management (Full Session) ? 33 : WORK QUEUES || Defer Items in Queue Management ? 34 : Working with Environment Variables ? 35 : WORK QUEUES || Priority in Queue Management (Detailed) ? 36 : WORK QUEUES - Tag , Tag Filter and Key Filters in Queue Management ? 37 : Introduction to Scheduler & How to configure Scheduler ? 38 : Working Session with SCHEDULES,TASKS AND TIMETABLE under Control Room ? 39 : Working Session with CALENDAR (Detailed) ? 40 : Working Session with ACTIVE QUEUES under Control Room ? 41 : Introduction to Release Manager ? 42 : Working Session with Packages and Releases under Release Manager(Detailed) ? 43 : Working Session with Blue Prism DashBoards and Tiles (Detailed) ? 44 : Working With WebServices

4.7•4.8K•Self-paced

FREE$92.99

Enroll

Un-official Cisco 300-420 Enterprise Networks ENSLD Test

About this course

Skills you'll gain

Available Coupons

Course Information

This course includes:

Share this course

You May Also Like

AI Security Fundamentals: Secure LLMs and AI Applications

Agentic AI Red Teaming: Hands-On Security Testing

Blue Prism Foundation Course Step By Step

Un-official Cisco 300-420 Enterprise Networks ENSLD Test

About this course

Skills you'll gain

Available Coupons

Course Information

This course includes:

Share this course

You May Also Like

AI Security Fundamentals: Secure LLMs and AI Applications

Agentic AI Red Teaming: Hands-On Security Testing

Blue Prism Foundation Course Step By Step