Unleash your teachers potential, embrace resilience, and effortlessly cater to every child's needs across your school with the abundance of resources included with RISE: Resilience in Schools and Education.
Duration 5 Days 30 CPD hours This course is intended for System administrators System engineers Overview By the end of the course, you should be able to meet the following objectives: Install and configure ESXi hosts Deploy and configure vCenter Use the vSphere Client to create the vCenter inventory and assign roles to vCenter users Create virtual networks using vSphere standard switches and distributed switches Create and configure datastores using storage technologies supported by vSphere Use the vSphere Client to create virtual machines, templates, clones, and snapshots Create content libraries for managing templates and deploying virtual machines Manage virtual machine resource allocation Migrate virtual machines with vSphere vMotion and vSphere Storage vMotion Create and configure a vSphere cluster that is enabled with vSphere High Availability (HA) and vSphere Distributed Resource Scheduler Manage the life cycle of vSphere to keep vCenter, ESXi hosts, and virtual machines up to date This five-day course features intensive hands-on training that focuses on installing, configuring, and managing VMware vSphere 8, which includes VMware ESXi 8 and VMware vCenter 8. This course prepares you to administer a vSphere infrastructure for an organization of any size. This course is the foundation for most VMware technologies in the software-defined data center. Course Introduction Introductions and course logistics Course objectives vSphere and Virtualization Overview Explain basic virtualization concepts Describe how vSphere fits in the software-defined data center and the cloud infrastructure Recognize the user interfaces for accessing vSphere Explain how vSphere interacts with CPUs, memory, networks, storage, and GPUs Installing and Configuring ESXi Install an ESXi host Recognize ESXi user account best practices Configure the ESXi host settings using the DCUI and VMware Host Client Deploying and Configuring vCenter Recognize ESXi hosts communication with vCenter Deploy vCenter Server Appliance Configure vCenter settings Use the vSphere Client to add and manage license keys Create and organize vCenter inventory objects Recognize the rules for applying vCenter permissions View vCenter logs and events Configuring vSphere Networking Configure and view standard switch configurations Configure and view distributed switch configurations Recognize the difference between standard switches and distributed switches Explain how to set networking policies on standard and distributed switches Configuring vSphere Storage Recognize vSphere storage technologies Identify types of vSphere datastores Describe Fibre Channel components and addressing Describe iSCSI components and addressing Configure iSCSI storage on ESXi Create and manage VMFS datastores Configure and manage NFS datastores Deploying Virtual Machines Create and provision VMs Explain the importance of VMware Tools Identify the files that make up a VM Recognize the components of a VM Navigate the vSphere Client and examine VM settings and options Modify VMs by dynamically increasing resources Create VM templates and deploy VMs from them Clone VMs Create customization specifications for guest operating systems Create local, published, and subscribed content libraries Deploy VMs from content libraries Manage multiple versions of VM templates in content libraries Managing Virtual Machines Recognize the types of VM migrations that you can perform within a vCenter instance and across vCenter instances Migrate VMs using vSphere vMotion Describe the role of Enhanced vMotion Compatibility in migrations Migrate VMs using vSphere Storage vMotion Take a snapshot of a VM Manage, consolidate, and delete snapshots Describe CPU and memory concepts in relation to a virtualized environment Describe how VMs compete for resources Define CPU and memory shares, reservations, and limits Deploying and Configuring vSphere Clusters Create a vSphere cluster enabled for vSphere DRS and vSphere HA View information about a vSphere cluster Explain how vSphere DRS determines VM placement on hosts in the cluster Recognize use cases for vSphere DRS settings Monitor a vSphere DRS cluster Describe how vSphere HA responds to various types of failures Identify options for configuring network redundancy in a vSphere HA cluster Recognize vSphere HA design considerations Recognize the use cases for various vSphere HA settings Configure a vSphere HA cluster Recognize when to use vSphere Fault Tolerance Managing the vSphere Lifecycle Enable vSphere Lifecycle Manager in a vSphere cluster Describe features of the vCenter Update Planner Run vCenter upgrade prechecks and interoperability reports Recognize features of vSphere Lifecycle Manager Distinguish between managing hosts using baselines and managing hosts using images Describe how to update hosts using baselines Describe ESXi images Validate ESXi host compliance against a cluster image and update ESXi hosts Update ESXi hosts using vSphere Lifecycle Manager Describe vSphere Lifecycle Manager automatic recommendations Use vSphere Lifecycle Manager to upgrade VMware Tools and VM hardware
This virtual modular programme develops the coaching skills of managers and leaders. This programme is delivered virtually over zoom, 4 x 180 Minute Sessions over 4 Days.
This Level 3 Diploma in Cyber Security Management and Operations qualification (Accredited by Qualifi, UK) has been created to develop those learners who are looking to choose, or already have chosen, a career in a business-related sector. It is envisaged that this programme will encourage both academic and professional development so that your learners move forward to realise not just their own potential but also that of organisations across a broad range of sectors. The rationale of the programme is to provide a career path for learners who wish to develop their core capabilities within the cyber security sector. The outcome of the Level 3 Diploma in Cyber Security Management and Operations, which is a recognised UK qualification, is for learners to develop the skills required by organisations globally. This qualification is especially designed for organisational executives and leaders who are tasked with responsibility for cyber security, digital risk management, or the oversight thereof. The Level 3 Diploma in Cyber Security Management and Operations qualifications' primary focus is to prepare administrators and executives to manage and operate generic, nontechnical cyber security activities within a business, third sector or government organisation. This course is particularly suited for learners already in full-time work or those seeking to evolve their careers into cyber and information security fields. The qualification will identify and evaluate practical and lawful ways to safely and securely protect networks, information and assets from cyber-attacks and associated impacts. This Level 3 Diploma in Cyber Security Management and Operations qualification is about 'cyber security' as a holistic discipline. It examines both 'cyber' and 'security' domains which relate to IT security. It is therefore in most parts a non-technical qualification that looks at both cyber-technical and cyber-physical security threats, risks, responses and risk treatments. The Diploma is accredited at Level 3 with a total equivalence of 60 credits. It is envisaged that learners completing this Level 3 programme will progress to Level 4 Diplomas including the Level 4 Diploma in Cyber Security. Key Highlights of this Level 3 Diploma in Cyber Security Management and Operations qualification are: Program Duration: 9 Months (Fast track 6 months duration mode Available) Program Credits: 60 Designed for working Professionals Format: Online No Written Exam. The Assessment is done via Submission of Assignment Tutor Assist available Dedicated Student Success Manager Timely Doubt Resolution Regular Networking Events with Industry Professionals Become eligible to gain direct entry into relevant Undergraduate degree programme. Alumni Status No Cost EMI Option Requirements This Level 3 Diploma in Cyber Security Management and Operations (Accredited by Qualifi, UK) qualifications has been designed to be accessible without artificial barriers that restrict access and progression. Entry to the qualification will be through centre interview and learners will be expected to hold the following: Qualifications at Level 2 OR A Level 3 qualification in another discipline and want to develop their careers in Cyber Security or Information Technology. Career path Learners after completing of this course progress to: Diploma in Accounting and Business level -4 and level - 5 , or BEng (Hons) in Software Engineering, or BSc (Hons) in Business Computing and Information Systems, or BA (Hons) Business Management, or BA (Hons) Tourism and Hospitality Managements, or The First Year of Undergraduate study, or Directly into employment in an associated profession. Certificates Certificate of Achievement Hard copy certificate - Included Qualifi courses: Once you complete the course, you would be receiving a Physical hard copy of your Diploma along with its Transcript which we would Courier to your address via DHL or Royal Mail without any additional charge
Who is this course for? The 3D Printing Bespoke 1-on-1 Training Course is designed for individuals seeking personalized instruction and hands-on experience in the field of 3D printing. Click here for more info: Website Training: 40 hrs, split as per your availability. When: 9 a.m. to 7 p.m., Mon-Sat. Call 02077202581 to reserve. Live online, or in-person. Option A: AutoCAD 10 hrs, Rhino 16 hrs, Vray 4 hrs, Photoshop 4 hrs, 3D Printing 6 hrs Option B: AutoCAD 12 hrs, 3ds Max 16 hrs, Vray 4 hrs, Photoshop 4 hrs, 3D Printing 4 hrs. Option A: AutoCAD, Rhino, Vray, Photoshop, 3D Printing (Total: 40 hours) AutoCAD (10 hours): Module 1: Introduction to AutoCAD (2 hours) Familiarization with AutoCAD interface and tools Creating, opening, and saving drawings Basic drawing and editing commands Module 2: Drawing and Editing (3 hours) Lines, circles, and arcs Polylines and polygons Modifying objects: Move, Copy, Rotate, and Scale Module 3: Precision Drawing (3 hours) Using coordinate systems Dimensioning and text Hatching and gradients Module 4: Advanced Tools (2 hours) Blocks and attributes Layers and object properties Creating layouts and plotting Rhino (16 hours): Module 1: Introduction to Rhino (2 hours) Navigating the Rhino interface Basic 2D and 3D modeling concepts Creating and manipulating objects Module 2: Advanced Modeling (6 hours) Modeling with curves and surfaces Editing and transforming geometry Building complex 3D structures Module 3: Visualization with Vray (4 hours) Understanding the Vray rendering engine Applying materials and textures Setting up lighting and cameras for realistic rendering Module 4: Presentation and Editing (2 hours) Exporting and sharing Rhino models Post-processing and enhancing designs Photoshop (4 hours): Module 1: Introduction to Photoshop (2 hours) Navigating Photoshop interface Image resolution and size Basic image editing tools Module 2: Image Editing and Enhancement (2 hours) Adjusting colors and tones Using layers and masks Retouching and image manipulation 3D Printing (6 hours): Module 1: Introduction to 3D Printing (2 hours) Basics of 3D printing technology Understanding file formats and requirements Module 2: Preparing 3D Models (2 hours) Model optimization for 3D printing Creating supports and rafts Ensuring successful prints Option B: AutoCAD, 3ds Max, Vray, Photoshop, 3D Printing (Total: 38 hours) AutoCAD (12 hours): Module 1: Introduction to AutoCAD (2 hours) Overview of AutoCAD interface and tools Creating, opening, and saving drawings Basic drawing and editing commands Module 2: Drawing and Editing (3 hours) Lines, circles, and arcs Polylines and polygons Modifying objects: Move, Copy, Rotate, and Scale Module 3: Precision Drawing (3 hours) Using coordinate systems Dimensioning and text Hatching and gradients Module 4: Advanced Tools (4 hours) Blocks and attributes Layers and object properties Creating layouts and plotting 3ds Max (16 hours): Module 1: Introduction to 3ds Max (2 hours) Exploring the 3ds Max interface Navigating viewports and objects Basic modeling techniques Module 2: 3D Modeling (6 hours) Creating and editing 3D objects Modifiers and deformations Working with shapes and splines Module 3: Visualization with Vray (4 hours) Setting up lights and cameras Rendering settings and options Post-production and compositing Photoshop (4 hours): Module 1: Introduction to Photoshop (2 hours) Navigating Photoshop interface Image resolution and size Basic image editing tools Module 2: Image Editing and Enhancement (2 hours) Adjusting colors and tones Using layers and masks Retouching and image manipulation 3D Printing (4 hours): Module 1: Introduction to 3D Printing (2 hours) Basics of 3D printing technology Understanding file formats and requirements Module 2: Preparing 3D Models (2 hours) Model optimization for 3D printing Creating supports and rafts Ensuring successful prints Training Duration: 40 hours Flexible Timings: Students can choose their preferred time slots based on our availability, operating from 9:00 am to 7:00 pm (Monday to Saturday). Pricing Details: Company Rate: £1200 (Plus 20% VAT) = £1440 inc VAT. Student, Self-Financed, and Live Online Rate: £1000 (Plus 20% VAT) = £1200 inc VAT. Who Should Enroll: This course caters to a wide range of individuals, including: Novices: Perfect for beginners unfamiliar with AutoCAD, 3ds Max, Adobe Photoshop, Rhino, Vray, and 3D printing, providing a solid foundational understanding. Architects and Interior Designers: Tailored insights for professionals seeking precision in enhancing their design skills, valuable for design firms. Industry Professionals: Establishes industry benchmarks, offering adaptable education applicable across sectors like interior design, architecture, and civil engineering. Learning Approach: Hands-On Practicality: Emphasizes practical, real-world skills through personalized one-on-one training, available in face-to-face or live online sessions. Step-by-Step Instruction: Experienced instructors guide you systematically through techniques using AutoDesk AutoCAD, Autodesk 3ds Max, Adobe Photoshop, and Trimble Sketchup. What You'll Receive: Certificate of Achievement: Upon completion, receive a certificate validating your expertise. Comprehensive Training Guide: Access an extensive PDF guide compatible with both Windows and MAC. Live Feedback: Connect with your tutor for real-time feedback during sessions and the option to record each session for future reference. Our Benefits: Price Assurance: Guaranteeing exceptional value for your career investment. Personalized Training: Tailored one-on-one sessions, adjusting to your learning pace and style. Flexible Scheduling: Choose your preferred training time and day, available Monday to Sunday, from 9 am to 8 pm. Lifetime Support: Ongoing email and phone support beyond the course completion. Computer Setup Assistance: We assist in configuring your computer for seamless software installation. Referral Benefits: Recommend a friend and enjoy discounts, including significant savings on group training courses. Advantages of Option A: Diverse Skill Enhancement: Acquire proficiency in AutoCAD, Rhino, Vray, Photoshop, and 3D Printing, expanding your skill repertoire. Career Opportunities: Access a wide range of career paths in design, architecture, and 3D printing fields, enhancing your professional prospects. Compelling Visualizations: Craft realistic and visually appealing 3D renderings using Vray, elevating the quality of your design presentations. Image Editing Expertise: Master the art of enhancing design projects with Photoshop, adding finesse to your creative work. Prototyping Prowess: Develop essential skills in 3D Printing, enabling you to create physical design prototypes for various applications. Advantages of Option B: Versatile Skill Mastery: Excel in AutoCAD, 3ds Max, Vray, Photoshop, and 3D Printing, gaining expertise in diverse areas of design and visualization. Career Advancement: Unlock opportunities in architecture, animation, and visualization fields, broadening your career horizons. High-Quality Renderings: Showcase your designs impressively with high-quality renderings generated through Vray, leaving a lasting impact on viewers. Image Editing Mastery: Polish your design concepts and presentations using advanced Photoshop techniques, ensuring your visuals are refined and professional. 3D Printing Expertise: Bring your digital designs to life across various industries, mastering the intricate art of 3D printing. Our training courses cater to both Mac and Windows operating systems and provide: Price Assurance: Ensuring the best value for your investment. Personalized Attention: Benefit from one-on-one training sessions tailored to your learning pace and style. Flexible Scheduling: Choose your preferred time and day for training sessions, available seven days a week from 9 am to 8 pm. Ongoing Support: Enjoy lifetime email and phone support, ensuring you're never alone on your learning journey. Technical Assistance: Receive guidance in configuring your computer for software installation, ensuring a seamless learning experience. Special Benefits: Avail special discounts when you refer a friend and significant savings on group training courses, maximizing the value of your training investment.
***Offer Ends Today*** Earn up to 40K as a 'DATA ANALYST' or Your 100% Money Back Do you know that entry-level data analysts earn an average of £40,000 annually, with the potential to quickly earn six figures with experience and expertise? Are you looking to join the high-demand field of data analytics and earn a handsome salary? Our Data Analyst Job Ready Program is here to guide you all the way until you get the job you want. Our Data Analyst Job Ready Program is your all-in-one solution to learn data analytics from scratch and also secure a job in this exciting industry. With our unique blend of comprehensive courses and career support, your dream job is within reach. We understand the challenges of transitioning into a new field, which is why our program is tailored to guide you every step of the way - from mastering core skills to landing your first job in data analytics. By choosing our Data Analyst Job Ready Program, you're not just gaining skills; you're gaining a lifelong career partner. Our mission is simple - to be your trusted partner every step of the way, from Training to Employment. Enrol Now and Kickstart Your Data Analytics Career. Don't miss this opportunity to transform your career with the Data Analyst Job Ready Program. With our comprehensive training, career support, and money-back guarantee, you're not just enrolling in a program; you're investing in a brighter future. Join us now and become a part of the next generation of data analysts! In addition to teaching you the technical skills you need, we will also provide you with career mentoring and support. We will help you build your resume, prepare for interviews, and land your dream job. We also have partnerships with many companies that are hiring Data Analysts, so we can help you get the job you want. If you are not happy with our service, we also offer a 100% money-back guarantee. So what are you waiting for? Enrol in our Data Analyst Job Ready Program today and start your journey to becoming a successful Data Analyst! Why Choose Us? So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Data Analyst Job Ready Program: Personalised Guidance: Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some experience, we will guide you towards honing your skills and developing a strong foundation in Business Analysis. One-On-One Consultation Sessions with Experts: Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Analyst field. Extensive Job Opportunities: We have established partnerships with numerous companies actively seeking Data analysts. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere. 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Courses we will provide once you enrol in the program: Course 01: Introduction to Data Analysis Course 02: Business and Data Analytics for Beginners Course 03: Data Analytics with Tableau Course 04: Quick Data Science Approach from Scratch Course 05: Learn MySQL from Scratch for Data Science and Analytics Course 06: SQL for Data Science, Data Analytics and Data Visualization Course 07: Statistics & Probability for Data Science & Machine Learning Course 08: Basic Google Data Studio Course 09: R Programming for Data Science Course 10: Python Data Science with Numpy, Pandas and Matplotlib Course 11: Complete Python Machine Learning & Data Science Fundamentals Course 12: 2021 Data Science & Machine Learning with R from A-Z Course 13: Microsoft Excel Complete Course Course 14: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query Course 15: Data Center Training Essentials: General Introduction Course 16: Excel Data Analysis Course 17: Data Entry Administrator Training Course 18: SQL Masterclass: SQL For Data Analytics Course 19: Business Data Analysis Course 20: Master JavaScript with Data Visualization How Can We Offer Job Guarantees? HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector. The Data Analyst Job Ready Program with Career Support & Money Back Guarantee is completed in 9 easy steps: Step 1: Enrol in the Programme Begin your exciting journey with us by enrolling in the Data and Business Intelligence Analyst Job Ready Program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied. After you enrol in the Program, you will get lifetime access to 6 premium courses related to Web Development. These courses will teach you the knowledge and skills required to become a successful Data and Business Intelligence Analyst. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing! Step 2: Initial One-On-One Counselling Session Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path. Step 3: Certification upon Course Completion After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject. Step 4: CV Revamping Our team of professionals will build you a compelling CV and LinkedIn profile. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the finance industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently. Step 5: Building Network and Submitting CV We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many high-profile individuals and companies through your LinkedIn profile. Step 6: Interview Preparation With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills. Step 7: Securing Job Interviews Leveraging our partnerships with leading companies, we'll secure job interviews for you. We'll ensure you get the opportunity to showcase your skills to potential employers and get the dream job you want. Step 8: Post-Interview Support Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job. Step 9: Celebrate Your New Job! Once you've secured your dream job in web development, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role. We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful Data and Business Intelligence Analyst career begins with us. CPD 1000 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Data Analyst Job Ready Program is perfect for: Beginners eager to break into the field of data analytics and get a job. Professionals looking to move their career towards data science. Individuals seeking a comprehensive understanding of data analysis tools and techniques. Those aiming for a career upgrade with advanced analytics skills. Anyone interested in gaining practical, job-ready skills in data analytics and machine learning. Career path This Data Analyst Job Ready Program will help you get a job in different roles, such as: Entry-Level Data Analyst: £25,000 - £35,000 Mid-Level Data Analyst: £35,000 - £60,000 Senior Data Analyst: £50,000 - £80,000 Data Scientist: £40,000 - £100,000 Data Analytics Manager: £60,000 - £100,000 Business Intelligence Analyst: £30,000 - £75,000 Machine Learning Engineer: £45,000 - £80,000 Certificates CPD Accredited e-Certificate Digital certificate - Included CPD Accredited Framed (Hardcopy) Certificate Hard copy certificate - Included Enrolment Letter Digital certificate - Included QLS Endorsed Hard Copy Certificate Hard copy certificate - Included Student ID Card Digital certificate - Included
Network DevOps course description This course is not a soft skills course covering the concepts of DevOps but instead concentrates on the technical side of tools and languages for network DevOps. Particular technologies focussed on are ansible, git and Python enabling delegates to leave the course ready to starting automating their network. Hands on sessions follow all major sections. More detailed courses on individual aspects of this course are available. What will you learn Evaluate network automation tools. Automate tasks with ansible. Use git for version control. Use Python to manage network devices. Use Python libraries for network devices. Network DevOps course details Who will benefit: Administrators automating tasks. Prerequisites: TCP/IP Foundation Duration 5 days Network DevOps course contents What is DevOps Programming and automating networks, networks and clouds, AWS, OpenStack, SDN, DevOps for network operations. Initial configuration Configuring SSH, ZTP, POAP. Hands on Initial lab configuration. Getting started with ansible The language, the engine, the framework. Uses of ansible, orchestration. The architecture, Controlling machines, nodes, Agentless, SSH, modules. Configuration management, inventories, playbooks, modules, roles. Hands on Installing ansible, running ad hoc commands. Ansible playbooks ansible-playbook, YAML, plays, tasks, handlers, modules. Playbook variables. Register module, debug module. Hands on Running playbooks. Ansible Inventories /etc/ansible/hosts, hosts, groups, static inventories, dynamic inventories. Inventory variables, external variables. Limiting hosts. Hands on Static inventories, variables in inventory files. Ansible modules for networking Built in modules, custom modules, return values. Core modules for network operations. Cisco and/or Juniper modules. ansible_connection. Ansible 2.6 CLI. Hands on Using modules. Ansible templating and roles aConfiguration management, full configurations, partial configurations. The template module, the assemble module, connection: local, Jinja2 templates, variables, if, for, roles. Hands on Generating multiple configurations from a template. Network programming and modules Why use Python? Why use ansible? alternatives, ansible tower, Linux network devices. Programming with Python Python programming Functions. Classes, objects and instances, modules, libraries, packages. Python strings, Python file handling, pip list, pip instal. Hands on Python programming with pyping. More Python programming Functions. Classes, objects and instances, modules, libraries, packages. Python strings, Python file handling, pip list, pip install. Hands on Python programming with pyping. Git Distributed version control, repositories, Git and GitHub, Alternatives to GitHub, Installing git, git workflows, creating repositories, adding and editing files, branching and merging, merge conflicts. Hands on working with Git. Python and networking APIs, Sockets, Telnetlib, pysnmp, ncclient, ciscoconfparse. Paramiko SSH and Netmiko Integrating Python and network devices using SSH. Netmiko, Netmiko methods. Hands on Netmiko. NAPALM What is NAPALM, NAPALM operations, getters, Replace, merge, compare, commit, discard. Hands on Configuration with NAPALM. Integrating ansible and NAPALM. Python and REST REST APIs, enabling the REST API. Accessing the REST API with a browser, cURL, Python and REST, the request library. Hands on Using a REST API with network devices.
Network automation course description This course is not a soft skills course covering the concepts of DevOps but instead concentrates on the technical side of tools and languages for network DevOps. Particular technologies focussed on are ansible, git and Python enabling delegates to leave the course ready to starting automating their network. Hands on sessions follow all major sections. More detailed courses on individual aspects of this course are available. What will you learn Evaluate network automation tools. Automate tasks with ansible. Use git for version control. Use Python to manage network devices. Use Python libraries for network devices. Network automation course details Who will benefit: Network engineers. Prerequisites: TCP/IP foundation for engineers. Duration 5 days Network automation course contents What is DevOps Programming and automating networks, networks and clouds, AWS, OpenStack, SDN, DevOps for network operations. Initial configuration Configuring SSH, ZTP, POAP. Hands on Initial lab configuration. Getting started with ansible The language, the engine, the framework. Uses of ansible, orchestration. The architecture, Controlling machines, nodes, Agentless, SSH, modules. Configuration management, inventories, playbooks, modules, roles. Hands on Installing ansible, running ad hoc commands. Ansible playbooks ansible-playbook, YAML, plays, tasks, handlers, modules. Playbook variables. Register module, debug module. Hands on Running playbooks. Ansible Inventories /etc/ansible/hosts, hosts, groups, static inventories, dynamic inventories. Inventory variables, external variables. Limiting hosts. Hands on Static inventories, variables in inventory files. Ansible modules for networking Built in modules, custom modules, return values. Core modules for network operations. Cisco and/ or Juniper modules. ansible_connection. Ansible 2.6 CLI. Hands on Using modules. Ansible templating and roles Configuration management, full configurations, partial configurations. The template module, the assemble module, connection: local, Jinja2 templates, variables, if, for, roles. Hands on Generating multiple configurations from a template. Network programming and modules Why use Python? Why use ansible? alternatives, ansible tower, Linux network devices. Programming with Python Scripting versus application development, Python interactive mode, Python scripts, Python 2.7 vs Python 3. A simple Python script. Variables, loops, control statements, operators. PEP style guide. Python IDEs. Hands on Simple Python programs. More Python programming Functions. Classes, objects and instances, modules, libraries, packages. Python strings, Python file handling, pip list, pip install, Hands on Python programming with pyping. Git Distributed version control, repositories, Git and GitHub, Alternatives to GitHub, Installing git, git workflows, creating repositories, adding and editing files, branching and merging, merge conflicts. Hands on working with Git. Python and networking APIs, Sockets, Telnetlib, pysnmp, ncclient, ciscoconfparse. Paramiko SSH and Netmiko Integrating Python and network devices using SSH. Netmiko, Netmiko methods. Hands on Netmiko. PyEZ Juniper, NETCONF, installing PyEZ, a first pyEZ script, pyEZ configuration management. Hands on Juniper configuration management with pyEZ. NAPALM What is NAPALM, NAPALM operations, getters, Replace, merge, compare, commit, discard. Hands on Configuration with NAPALM. Integrating ansible and NAPALM. Python and REST REST APIs, enabling the REST API. Accessing the REST API with a browser, cURL, Python and REST, the request library. Hands on Using a REST API with network devices.
Advanced Python training course description This course caters to network engineers aiming to enhance both their Python proficiency and network automation skills. Delving deeper into key areas such as netmiko, Nornir, and ncclient, we also focus on automating network testing and validation. Participants gain greater confidence working with Python functions, classes, objects, and error handling. The course additionally introduces more libraries like Scrapli, TTP, pyATS, Genie, pybatfish, and Suzieq, which cover parsing strategies, automation testing, validation, network analysis, observability, and telemetry. The curriculum also encompasses concurrency techniques. What will you learn Write Python modules and functions. Evaluate techniques to parse unstructured data. Use NETCONF filters. Handle Python errors effectively (try, assertâ¦). Use postman. Automate testing and validation of the network. Use scrapli, Genie, batfish and Suzieq. Advanced Python training course details Who will benefit: Network engineers. Prerequisites: Python for network engineers Duration 5 days Advanced Python training course contents Review CLI, NETCONF, RESTCONF, structured versus unstructured data, gNMI and when to use which. PEP 8. Naming conventions. Packages, modules, Classes and methods. The scrapli library. Netmiko versus scrapli. Hands on: scrapli, Dictionaries versus Regular Expressions. Modules and Functions Writing your own modules, containers versus packages, virtual environments. Best practices, calling functions, writing your own functions. Parameters, arguments. Named arguments, dictionaries as arguments. Builtins. Docstrings. Main. __name__, __main__ . Program arguments. Hands on: Getting interfaces, showing interface status using Netmiko and functions. Using dictionaries as arguments. Writing your own modules. Parsing strategies Turning unstructured data into structured data. textfsm, PyATS Genie parser, NAPALM getters, Template Text Parser. Hands on: Genie parser, TTP. Accessing structured data with lists and dictionaries. Classes, objects and Python Python classes in Genie, PyEZ and others . Hands on: studying network automation classes, objects, methods and attributes. Configuration management - more nornir, ncclient, requests Nornir tasks. Nornir results, Nornir functions, Nornir plugins. Nornir processors. YANG, YANG models, pyang. NETCONF hello. Capabilities. Schemas. Filters. Subtrees. XPATH. Exploring available YANG data models. NETCONF and network wide transactions. Asserting NETCONF capabilities. Configuration types. Locking configurations, commits. NETCONF data stores. Netconf-console. RESTCONF differences from NETCONF. URI construction. Postman. More XML and JSON. Git and configuration versions. Hands on: Nornir and Jinja2. Exploring available models, NETCONF filters. Using postman. Python error handling and debugging Context handlers, try, assert, logging, pdb, pytest, unit testing, chatgpt. Hands on: Writing code with each of the error handling methods, investigating what happens on an error. Use chatgpt to debug your code. Python Automation Testing Testing and validation. pyATS, Genie. Testbed file. Genie parse, genie learn, genie diff. Genie conf, Genie ops, Genie SDK, Genie harness. Xpresso. Hands on: Using Genie for state comparisons of the network. Network analysis Batfish, pybatfish, configuration analysis, analysing routing, analysing ACLs. Pandas. Pandas dataframe. Filtering and selecting values of interest. Hands on: Use Batfish to analyse network snapshots, find network adjacencies, flow path analysis. Network observability Suzieq, using docker, using as a package. Sqpoller, suzieq-gui, suzieq-cli, sq-rest-server. Namespaces and seeing devices, network state and Asserts. Time based analysis, snapshots and changes. Hands on: Suzieq: Gathering data from the network, analysing data from the network. Network state assertion. Telemetry gRPC, gNMI. CAP, GET, SET. Subscriptions. Model Driven telemetry. Hands on: Analysing telemetry data with Python. Concurrency asyncio, threads, processes. Nornir concurrency. Scrapli and netmiko concurrency. Hands on: Multiple SSH connections to devices at same time. Scarpli asyncio.