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Ready to land a job in the ever-evolving tech world? This 20-in-1 IT Support Administrator bundle is tailored to help you stand out in competitive hiring pools—fast. With a blend of administrative, technical, and communication-based competencies, this bundle is ideal for anyone eyeing roles in corporate IT departments, government tech desks, or managed service providers. Whether you’re switching industries or strengthening your résumé, this is your low-risk, high-reward gateway into a hireable future. 📘 Description Employers aren’t just hiring IT specialists—they’re hiring problem-solvers, system thinkers, and effective communicators. This comprehensive training package has been thoughtfully assembled to reflect exactly what modern tech teams need from administrative IT staff. From navigating compliance-heavy environments to understanding support-level data handling, every skill listed here signals to hiring managers that you're more than just IT-savvy—you’re workplace-ready. And here’s where FOMO is real: employers are looking right now for applicants with this hybrid skill set. Don’t get left behind while others upskill and grab those entry-to-mid-level jobs. One single investment. Twenty powerful upskills. Lifetime access. That’s smart career economics. ❓ FAQ Q: Who is this course bundle for? A: Ideal for aspiring IT administrators, office support staff, career changers, or anyone looking to get a foot into the IT industry. Q: Will this help me land a job? A: While no training can guarantee employment, this bundle was curated to align with job listings across IT support, technical admin, and internal operations roles. Q: Is this suitable for someone with no background in IT? A: Yes. It’s designed to be approachable for beginners while still offering value to those already in the industry. Q: Can I list all 20 courses on my CV? A: Absolutely. Each course offers independent credentials that enhance your employability and skill proof. Q: What kinds of jobs can this help me pursue? A: Entry-Level IT Administrator, Junior Compliance Analyst, Service Desk Support, IT Coordinator, or even Cross-Departmental Tech Assistant.

Fast-track your way into a dynamic HR career with the HR Recruiter 20-in-1 bundle—an all-in-one toolkit tailored to make you instantly hireable. Whether you're stepping into the HR world or aiming to sharpen your recruitment edge, this bundle covers the in-demand skills that today's hiring managers expect. In an industry where every minute counts and every decision impacts a business, employers are constantly on the lookout for job-ready professionals with both precision and people skills. If you want your CV to rise to the top of the pile—this is your move. 🧾 Description From corporate HR departments to recruitment agencies and in-house talent teams, the demand for skilled HR recruiters has never been higher. This bundle has been thoughtfully assembled to reflect the hybrid nature of modern HR—combining people operations with legal awareness, data fluency, and confident communication. Whether you aim to work in tech recruitment, healthcare staffing, finance HR, or even start your own consultancy, this bundle ensures you’re equipped to handle the compliance, communication, and coordination aspects that matter most. You’re not just preparing for a job—you’re investing in a profession. And with 20 career-relevant courses in one place, this bundle delivers unmatched value at a fraction of traditional training costs. You’ll thank yourself later. ❓ FAQ Q: What roles is this bundle ideal for? A: It’s perfect for aspiring HR assistants, in-house recruiters, staffing coordinators, or agency consultants. Q: Can I take this without prior HR experience? A: Yes, it's designed to build your profile from the ground up—or enhance an existing one. Q: Which industries would this be useful in? A: Recruitment spans every industry—tech, healthcare, legal, retail, finance, and more. Q: Will I get certificates for each course? A: Yes, each course comes with a certificate to strengthen your portfolio. Q: What’s the time commitment? A: Flexible learning means you can start anytime and complete at your own pace.

Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

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Duration 5 Days 30 CPD hours This course is intended for This course is for professionals who need knowledge about implementing various Service Provider core technologies and advanced routing technologies. Network administrators System engineers Project managers Network designers Overview After taking this course, you should be able to: Describe the main characteristics of routing protocols that are used in Service provider environments Implement advanced features of multiarea Open Shortest Path First (OSPFv2) running in Service Provider networks Implement advanced features of multilevel Intermediate System to Intermediate System (ISIS) running in Service Provider networks Configure route redistribution Configure Border Gateway Protocol (BGP) in order to successfully connect the Service Provider network to the customer or upstream Service Provider Configure BGP scalability in Service Provider networks Implement BGP security options Implement advanced features in order to improve convergence in BGP networks Troubleshoot OSPF, ISIS, and BGP Implement and verify MPLS Implement and troubleshoot MPLS traffic engineering Implement and verify segment routing technology within an interior gateway protocol Describe how traffic engineering is used in segment routing networks Implement IPv6 tunneling mechanisms Describe and compare core multicast concepts Implement and verifying the PIM-SM protocol Implement enhanced Protocol-Independent Multicast - Sparse Mode (PIM-SM) features Implement Multicast Source Discovery Protocol (MSDP) in the interdomain environment Implement mechanisms for dynamic Rendezvous Point (RP) distribution The Implementing Cisco Service Provider Advanced Routing Solutions (SPRI) 5-day course teaches you theories and practices to integrate advanced routing technologies including routing protocols, multicast routing, policy language, Multiprotocol Label Switching (MPLS), and segment routing, expanding your knowledge and skills in service provider core networks. This course prepares you for the 300-510 Implementing Cisco© Service Provider Advanced Routing Solutions (SPRI) exam. The course qualifies for 40 Cisco Continuing Education credits (CE) towards recertification. This course will help you: Gain the high-demand skills to maintain and operate advanced technologies related to Service Provider core networks Increase your knowledge and skills for implementing Service Provider core advanced technologies though hands-on application and practical instruction Prepare to take the 300-510 SPRI exam Course Outline Implementing and Verifying Open Shortest Path First Multiarea Networks Implementing and Verifying Intermediate System to Intermediate System Multilevel Networks Introducing Routing Protocol Tools, Route Maps, and Routing Policy Language Implementing Route Redistribution Influencing Border Gateway Protocol Route Selection Scaling BGP in Service Provider Networks Securing BGP in Service Provider Networks Improving BGP Convergence and Implementing Advanced Operations Troubleshooting Routing Protocols Implementing and Verifying MPLS Implementing Cisco MPLS Traffic Engineering Implementing Segment Routing Describing Segment Routing Traffic Engineering (SR TE) Deploying IPv6 Tunneling Mechanisms Implementing IP Multicast Concepts and Technologies Implementing PIM-SM Protocol Implementing PIM-SM Enhancements Implementing Interdomain IP Multicast Implementing Distributed Rendezvous Point Solution in Multicast Network

Duration 2 Days 12 CPD hours This course is intended for This course is intended for software testers, architects, engineers, or other related roles, who wish to apply AI to software testing practices within their enterprise. While there are no specific pre-requisites for this course, it would be helpful is the attendee has familiarity with basic scripting (Python preferred) and be comfortable with working from the command line (for courses that add the optional hands-on labs). Attendees without basic scripting skills can follow along with the hands-on labs or demos. Overview This course introduces AI and related technologies from a practical applied software testing perspective. Through engaging lecture and demonstrations presented by our expert facilitator, students will explore: Exploring AI Introduction to Machine Learning Introduction to Deep Learning Introduction to Data Science Artificial Intelligence (AI) in Software Testing Implementing AI in Test Automation Innovative AI Test Automation Tools for the Future Implementing AI in Software Testing / AI in Test Automation is an introductory-level course for attendees new to AI, Machine Learning or Deep Learning who wish to automate software testing tasks leveraging AI. The course explores the essentials of AI, ML and DL and how the integrate into IT business operations and initiatives. Then the course moves to specifics about the skills, techniques and tools used to apply AI to common software testing requirements. Exploring AI AI-Initiatives The Priority: Excellence AI- Intelligence Types The Machine Learning Types The Quality Learning Initiative The Inception in Academics AI - Importance & Applications The Re-visit Learning Re-visited via AI Teaching in the world of AI Exploring AI for Self-Development AI In Academics Beyond Academics Introduction to Machine Learning What is Machine Learning? Why Machine Learning? Examples - Algorithms behind Machine Learning Introduction to Deep Learning What is Deep Learning? Why Deep Learning? Example - Deep Learning Vs Machine Learning Introduction to Data Science What is Data Science? Why Data Science? Examples - Use Cases of Data Science Artificial Intelligence (AI) in Software Testing What is AI in Software Testing? The Role of AI Testing Why do we Need AI in Software Testing? Pros and Cons of AI in Software Testing Applications of AI in Software Testing Is it time for Testers or QA Teams to worry about AI? Automated Testing with Artificial Intelligence Implementing AI in Test Automation Training the AI Bots Challenges with AI-powered Applications Examples - Real World use cases using Artificial Intelligence Demo - Facial Emotion Detection Using Artificial Intelligence Demo - Text Analysis API Using Artificial Intelligence Demo - EYE SPY Mobile App Using Artificial Intelligence Innovative AI Test Automation Tools for the Future Tools used for Implementing AI in Automation Testing What is NEXT? AI Test Automation Demo using Testim

Duration 2 Days 12 CPD hours This course is intended for This course is intended for network engineers, network support personnel, and reseller support. Overview After successfully completing this course, you should be able to:Configure LAN-to-LAN IP Security (IPsec) VPNs in various configurations. Configure VPN redundancy. Configure dynamic routing using IPsec VPNs. Configure remote access IPsec connectivity including group Internet Key Exchange (IKE) and shared IKE. Configure generic routing encapsulation (GRE) tunnels. This intermediate-level course focuses on the wide range of options available when configuring virtual private networks (VPNs) using Juniper Networks firewall/VPN products. Students attending the course will learn these various deployments through detailed lectures and hands-on lab exercises. Chapter 1: Course IntroductionChapter 2: ScreenOS VPN Basics Review VPN Review Verifying Operations VPN Monitor Lab: VPN Review Chapter 3: VPN Variations Dynamic Peers Transparent Mode Overlapping Addresses Lab: VPN Variations Chapter 4: Hub-and-Spoke VPNs Concepts Policy-Based Hub-and-Spoke VPNs Route-Based Hub-and-Spoke VPNs with No Policy and NHTB Route-Based Hub-and_Spoke VPNS with Policy Centralized Control Hub-and-Spoke VPNs ACVPNs Lab: Hub-and-Spoke VPNs Chapter 5: Routing over VPNs Routing Overview Configuring RIP Configuring OSPF Case Studies Lab: Dynamic Routing Chapter 6: Using Certificates Concepts and Terminology Configuring Certificates and Certificate Support Configuring VPNs with Certificates Lab: Using Certificates Chapter 7: Redundant VPN Gateways (Optional) Redundant VPN Gateways Other Options Demonstration: Redundant VPN Gateways Chapter 8: Generic Routing Encapsulation (Optional) Configuring GRE Chapter 9: Dial-Up IPsec VPNs (Optional) Basic Dial-Up Configuration Group IKE ID XAUTH and Shared IKE ID Additional course details: Nexus Humans Advanced Juniper Networks VPN Implementations training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Advanced Juniper Networks VPN Implementations course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 4 Days 24 CPD hours This course is intended for Security-operations (SecOps), or security, orchestration, automation, and response (SOAR) engineers, managed security service providers (MSSPs), service delivery partners, system integrators, and professional services engineers Overview This training is designed to enable a SOC, CERT, CSIRT, or SOAR engineer to start working with Cortex XSOAR integrations, playbooks, incident-page layouts, and other system features to facilitate resource orchestration, process automation, case management, and analyst workflow. The course includes coverage of a complete playbook-development process for automating a typical analyst workflow to address phishing incidents. This end-to-end view of the development process provides a framework for more focused discussions of individual topics that are covered in the course. The Cortex? XSOAR 6.8: Automation and Orchestration (EDU-380) course is four days of instructor-led training that will help you: Configure integrations, create tasks, and develop playbooks Build incident layouts that enable analysts to triage and investigate incidents efficiently Identify how to categorize event information and map that information to display fields Develop automations, manage content, indicator data, and artifact stores, schedule jobs, organize users and user roles, oversee case management, and foster collaboration This class is powered by Cloud Harmonics. Course Outline Module 1 - Core Functionality and Feature Sets Module 2 - Enabling and Configuring Integrations Module 3 - Playbook Development Module 4 - Classification and Mapping Module 5 - Layout Builder Module 6 - Solution Architecture Module 7 - Docker Module 8 - Automation Development and Debugging Module 9 - The Marketplace and Content Management Module 10 - Indicators and Threat Intelligence Management Module 11 - Jobs and Job Scheduling Module 12 - Users and Role-Based Access Controls (RBAC) Module 13 - Integration Development Additional course details: Nexus Humans Palo Alto Networks: Cortex XSOAR 6.8: Automation and Orchestration(EDU-380) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Palo Alto Networks: Cortex XSOAR 6.8: Automation and Orchestration(EDU-380) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 4 Days 24 CPD hours This course is intended for Systems Administrators and EngineersTechnical Solutions ArchitectsSystems IntegratorsChannel PartnersValue-Added Resellers Overview Understand the B-Series and C-Series product line similarities and differencesDescribe the C-Series standalone and UCS managed architectures Understand the process for upgrading B-Series and C-Series FirmwareAdministering service profiles, pools, and policiesUnderstanding RBAC with Active Directory integrationAdministering backup and restores in UCS ManagerLearn and discuss the various management tools for Cisco UCSPerform basic troubleshooting of B-Series and C-Series in normal operations Using real-world scenarios and examples, this course will explore all of the components of the UCS B-Series and C-Series solutions from a day to day administrative point of view. UCS Infrastructure Components Cisco UCS Servers and Components Exploring Cisco UCS User Interfaces Cisco UCS Management Framework and Features Administering Cisco C-Series Servers Describing Cisco UCS C-Series Servers Cisco UCS C-Series Integrated Management Controller Provisioning Monitoring and Logging on the Cisco UCS C-Series Server Provisioning Cisco UCS C-Series Server Integration in UCS Manager Updating Cisco UCS C-Series Firmware with the Host Upgrade Utility Troubleshooting C-Series Standalone and UCS Managed Environments Administering Cisco B-Series Servers RBAC, Organizations, and Active Directory Integration Configuring Compute Node LAN Connectivity Configuring Compute Node SAN Connectivity Creating Identity and Resource Pools Creating Service Profiles Creating Templates and Cloning Service Profiles Managing Service Profiles Operating System Installation Options Backing Up and Restoring UCSM Database Upgrading UCS B-Series Firmware Troubleshooting Cisco UCS B-Series Configuration Troubleshooting Cisco UCS B-Series Operation UCS Management Tools UCS Management Tool Overview Integrating UCS Manager with UCS Central Managing UCS Using the Cisco UCS PowerTool Additional course details: Nexus Humans Cisco Administering Cisco Data Center Unified Computing System (DCUCA) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Cisco Administering Cisco Data Center Unified Computing System (DCUCA) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

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