5595 Computing & IT courses in Clitheroe delivered Online

Dive into the dynamic realm of clinical data analysis with our comprehensive Clinical Data Analysis with SAS course. This course is your passport to the pharmaceutical industry, guiding you through the essential components, phases of clinical trials, and types of data crucial in this field. You'll gain proficiency in interpreting clinical study documents, from protocols to ethical consent, enabling you to navigate the intricate world of clinical data. Our course equips you with SAS programming skills, empowering you to develop clinical study reports, analyze demographic data, and derive valuable insights. Whether you're a budding data analyst or a professional aiming to enhance your clinical data expertise, this course provides the knowledge and skills needed for a successful career in clinical data analysis. Learning Outcomes Understand the key components and phases of the pharmaceutical industry. Navigate clinical trials with insights into data types and reports. Interpret clinical study documents, including protocols and ethical consent. Develop clinical study reports using SAS programming. Analyze demographic data and derive valuable insights. Why choose this Clinical Data Analysis with SAS course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the 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. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Clinical Data Analysis with SAS course for? Aspiring clinical data analysts seeking to enter the pharmaceutical industry. Professionals in healthcare, research, or data analysis looking to enhance their clinical data expertise. Students and individuals interested in clinical data and its analysis. Those who want to decode clinical study documents and reports. Anyone aiming to unlock the world of clinical data analysis with SAS. Career path Clinical Data Analyst: £25,000 - £50,000 Biostatistician: £30,000 - £70,000 Pharmaceutical Researcher: £25,000 - £60,000 Data Scientist in Healthcare: £30,000 - £70,000 Clinical SAS Programmer: £28,000 - £60,000 Clinical Research Manager: £35,000 - £80,000 Prerequisites This Clinical Data Analysis with SAS does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Clinical Data Analysis with SAS 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. Course Curriculum Course Promo Course Promo 00:01:00 Section 01: Introduction 1.1 Components of the Pharma Industry 00:05:00 1.2 Phases of Clinical Trials 00:06:00 1.3 Data and Reports in Clinical Trials 00:04:00 1.4 Types of Data 00:05:00 Section 02: Knowledge on Clinical Study Documents 2.1 Clinical Study Protocol 00:02:00 2.2 Ethical Consent 00:01:00 2.3 Inclusion-Exclusion Criteria 00:01:00 2.4 Statistical Analysis Plan: SAP, Mockshell and CRF 00:04:00 Section 03: Developing the Clinical Study Reports 3.1 General SAS Programming Steps 00:02:00 3.2 One Search Report: Demographics Table 00:04:00 3.3 Understanding the Demographics Table 00:03:00 3.4 Programming the Demographics Table 00:05:00 3.5 Importing Raw Demographic Data into the SAS 00:04:00 3.6 Deciding what Procedure to Use 00:02:00 3.7 Deriving the AGE variable 00:10:00 3.8 Obtaining Summary Statistics for AGE 00:04:00 3.9 Adding the 3rd Treatment Group using Explicit Output 00:05:00 3.10 Deriving the SEX variable 00:03:00 3.11 Obtaining Summary Statistics for SEX 00:03:00 3.12 Concatenating the COUNT and PERCENT Variables 00:03:00 3.13 Deriving the RACE Variable 00:03:00 3.14 Obtaining Summary Statistics for RACE 00:03:00 3.15 Stacking All the 3 Summary Statistics Together 00:06:00 3.16 Fixing the Precision Points 00:04:00 3.17 Transposing Data 00:03:00 3.18 Fixing the Order of Statistical Parameters 00:05:00 3.19 Building the Final Report 00:02:00 3.20 Putting the Final Touches to the Report 00:11:00 Resources Resources - Clinical Data Analysis with SAS 00:00:00 Assignment Assignment - Clinical Data Analysis with SAS 00:00:00

Embark on a transformative journey into workplace efficiency with our course, 'Optimizing Workspaces: The 5S Lean Methodology in Action.' In this dynamic exploration of Lean principles, we unravel the intricacies of the 5S system-Sort, Set in Order, Shine, Standardize, and Sustain. Brace yourself for an immersive experience where theoretical foundations seamlessly blend with practical insights, offering you a blueprint to revolutionize workspaces. Whether you're a novice or seasoned professional, our course is your gateway to unlocking the full potential of the 5S methodology, fostering a culture of continuous improvement. Learning Outcomes Master the principles and applications of Lean Methodology. Implement the 5S system with precision and efficacy. Develop skills to assess, strategize, and optimize workspaces. Gain insights into the role of a 5S Facilitator and its practical implementation. Cultivate a mindset of continuous improvement and sustainability in the workplace. Why choose this Optimizing Workspaces: The 5S Lean Methodology in Action course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the 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. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Optimizing Workspaces: The 5S Lean Methodology in Action course for? Professionals seeking to enhance organizational efficiency. Managers and supervisors aiming to implement Lean principles. Individuals interested in creating streamlined and organized work environments. Students pursuing studies in business, operations, or management. Entrepreneurs eager to cultivate a culture of productivity in their ventures. Career path Lean Consultant: £40,000 - £50,000 per annum Operations Manager: £45,000 - £55,000 per annum Quality Assurance Specialist: £35,000 - £45,000 per annum Process Improvement Analyst: £38,000 - £48,000 per annum Supply Chain Coordinator: £32,000 - £42,000 per annum Continuous Improvement Director: £60,000 - £70,000 per annum Prerequisites This Optimizing Workspaces: The 5S Lean Methodology in Action does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Optimizing Workspaces: The 5S Lean Methodology in Action 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. Course Curriculum Module 01: Introduction to Lean Methodology and 5S System Introduction to Lean Methodology and 5S System 00:11:00 Module 02: Sort (1S) Sort (1S) 00:10:00 Module 03: Set in Order (2S) and Shine (3S) Set in Order (2S) and Shine (3S) 00:12:00 Module 04: Standardize (4S) and Sustain (5S) Standardize (4S) and Sustain (5S) 00:10:00 Module 05: 5S Facilitator and Implementation of 5S 5S Facilitator and Implementation of 5S 00:11:00

In this course, we'll learn how to visualize data with real weather data downloaded from the US National Weather Service using the R programming language and RStudio. We recommend that you have some background in HTML, CSS, and JavaScript. You don't need to be an expert by any means, but you should have experience building web pages with HTML and CSS, and you should have basic programming skills with JavaScript.

Duration 2 Days 12 CPD hours This two-day course provides students an opportunity to learn about the skills, tools, and knowledge needed to deploy iOS devices. Interactive discussions and hands-on exercises guide students through the configuration, management, and supervision of iOS devices. Students? knowledge and skills are tested and reinforced by working through real-world scenarios The Role of MDM, VPP, and DEP How to successfully deploy iOS devices Identify and respond to challenges when deploying and managing devices without MDM Apple IDs Explain what an Apple ID is and identify when it?s needed Security How security is relevant in the context of a given deployment scenario Design and implement a deployment solution for a given scenario DEP Devices Configure DEP registered devices for Over-the-Air Enrollment Configure and manage settings, apps, and content on user-owned and company-owned devicesPrerequisites Manual Configuration Explore the challenges and inconsistencies when manually configuring multiple devices. Creating Configuration profiles using Apple Configurator to view and edit a configuration profile. Learn how profiles ensure consistency across multiple devices Manage Settings The iOS MDM protocol How a MDM solution is used to configure and manage devices over-the-air with consistency and accountability Apps and Content Introduce and define VPP Assign apps and content to their user and then configure and test managed 'open in' functionality Company-Owned (Personalized and Shared) Configure settings to enable Over-the-Air Enrollment and supervision and learn how users can personalize company-owned devices. Configure and test shared (shared) device scenarios and how Apps and content are distributed to the devices Workshop Real-world deployment scenarios Design a deployment that meets your scenario?s needs

Duration 2 Days 12 CPD hours This course is intended for Networking and security professionals involved in the design, implementation, and administration of a network infrastructure using FortiGate appliances. Overview Analyze a FortiGate's route table. Route packets using policy-based and static routes for multi-path and load balanced deployments. Configure SD-WAN to load balance traffic between multiple WAN links effectively. Inspect traffic transparently, forwarding as a Layer 2 device. Divide FortiGate into two or more virtual devices, each operating as an independent FortiGate, by configuring virtual domains (VDOMs). Establish an IPsec VPN tunnel between two FortiGate appliances. Compare policy-based to route-based IPsec VPN. Implement a meshed or partially redundant VPN. Diagnose failed IKE exchanges. Offer Fortinet Single Sign On (FSSO) access to network services, integrated with Microsoft Active Directory. Deploy FortiGate devices as an HA cluster for fault tolerance and high performance. Deploy implicit and explicit proxy with firewall policies, authentication, and caching. Diagnose and correct common problems. In this two-day course, you will learn how to use advanced FortiGate networking and security. Course Outline Module 1. Routing Module 2. Software-Defined WAN (SD-WAN) Module 3. Layer 2 Switching Module 4. Virtual Domains Module 5. Site-to-Site IPsec VPN Module 6. Fortinet Single Sign-On (FSSO) Module 7. High Availability (HA) Module 8. Web Proxy Module 9. Diagnostics

Duration 2 Days 12 CPD hours This course is intended for This course is intended for network operators, network administrators, network engineers, network architects, security administrators, and security architects responsible for installation, setup, configuration, and administration of the BIG-IP AFM system. This course uses lectures and hands-on exercises to give participants real-time experience in setting up and configuring the BIG-IP Advanced Firewall Manager (AFM) system. Students are introduced to the AFM user interface, stepping through various options that demonstrate how AFM is configured to build a network firewall and to detect and protect against DoS (Denial of Service) attacks. Reporting and log facilities are also explained and used in the course labs. Further Firewall functionality and additional DoS facilities for DNS and SIP traffic are discussed. Module 1: Setting Up the BIG-IP System Introducing the BIG-IP System Initially Setting Up the BIG-IP System Archiving the BIG-IP System Configuration Leveraging F5 Support Resources and Tools Module 2: AFM Overview AFM Overview AFM Availability AFM and the BIG-IP Security Menu Packet Processing Rules and Direction Rules Contexts and Processing Inline Rule Editor Module 3: Network Firewall AFM Firewalls Contexts Modes Packet Processing Rules and Direction Rules Contexts and Processing Inline Rule Editor Configuring Network Firewall Network Firewall Rules and Policies Network Firewall Rule Creation Identifying Traffic by Region with Geolocation Identifying Redundant and Conflicting Rules Identifying Stale Rules Prebuilding Firewall Rules with Lists and Schedules Rule Lists Address Lists Port Lists Schedules Network Firewall Policies Policy Status and Management Other Rule Actions Redirecting Traffic with Send to Virtual Checking Rule Processing with Packet Tester Examining Connections with Flow Inspector Module 4: Logs Event Logs Logging Profiles Limiting Log Messages with Log Throttling Enabling Logging in Firewall Rules BIG-IP Logging Mechanisms Log Publisher Log Destination Filtering Logs with the Custom Search Facility Logging Global Rule Events Log Configuration Changes QKView and Log Files SNMP MIB SNMP Traps Module 5: IP Intelligence Overview Feature 1 Dynamic White and Black Lists Black List Categories Feed Lists IP Intelligence Policies IP Intelligence Log Profile IP Intelligence Reporting Troubleshooting IP Intelligence Lists Feature 2 IP Intelligence Database Licensing Installation Configuration Troubleshooting IP Intelligence iRule Module 6: DoS Protection Denial of Service and DoS Protection Overview Device DoS Protection Configuring Device DoS Protection Variant 1 DoS Vectors Variant 2 DoS Vectors Automatic Threshold Configuration Variant 3 DoS Vectors Device DoS Profiles DoS Protection Profile Dynamic Signatures Dynamic Signatures Configuration DoS iRules Module 7: Reports AFM Reporting Facilities Overview Examining the Status of Particular AFM Features Exporting the Data Managing the Reporting Settings Scheduling Reports Examining AFM Status at High Level Mini Reporting Windows (Widgets) Building Custom Widgets Deleting and Restoring Widgets Dashboards Module 8: DoS White Lists Bypassing DoS Checks with White Lists Configuring DoS White Lists tmsh options Per Profile Whitelist Address List Module 9: DoS Sweep Flood Protection Isolating Bad Clients with Sweep Flood Configuring Sweep Flood Module 10: IP Intelligence Shun Overview Manual Configuration Dynamic Configuration IP Intelligence Policy tmsh options Extending the Shun Feature Route this Traffic to Nowhere - Remotely Triggered Black Hole Route this Traffic for Further Processing - Scrubber Module 11: DNS Firewall Filtering DNS Traffic with DNS Firewall Configuring DNS Firewall DNS Query Types DNS Opcode Types Logging DNS Firewall Events Troubleshooting Module 12: DNS DoS Overview DNS DoS Configuring DNS DoS DoS Protection Profile Device DoS and DNS Module 13: SIP DoS Session Initiation Protocol (SIP) Transactions and Dialogs SIP DoS Configuration DoS Protection Profile Device DoS and SIP Module 14: Port Misuse Overview Port Misuse and Service Policies Building a Port Misuse Policy Attaching a Service Policy Creating a Log Profile Module 15: Network Firewall iRules Overview iRule Events Configuration When to use iRules More Information Module 16: Recap BIG-IP Architecture and Traffic Flow AFM Packet Processing Overview

Duration 3 Days 18 CPD hours This course is intended for Incoming attendees are required to have current, hands-on experience in developing basic web applications. Student should have some experience with HTML and CSS and be well versed in JavaScript. Experience with coding for the server side would be helpful. Overview This skills-focused course is approximately 50% hands-on. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Learn server-side JavaScript coding through Node.js Explore the latest JavaScript features, and ECMAScript modules Walk through different stages of developing robust applications using Node.js Install and use Node.js for development Use the Express application framework Work with REST service development using the Restify framework Use data storage engines such as MySQL, SQLITE3, and MongoDB Node.js is a server-side JavaScript platform using an event-driven, non-blocking I/O model allowing users to build fast and scalable data-intensive applications running in real time.This fast-paced hands-on course provides the core skills required to develop web applications with Node.js. You will progress from a rudimentary knowledge of JavaScript and server-side development to being able to create, maintain and test your own Node.js applications. You will explore the importance of transitioning to functions that return Promise objects, and the difference between fs, fs/promises and fs-extra, as well as how to use the HTTP Server and Client objects, and data storage with both SQL and MongoDB databases. Overview of Node.js The capabilities of Node.js Why should you use Node.js? The Node.js event-driven architecture Embracing advances in the JavaScript language Developing microservices or maxiservices with Node.js Setting Up Node.js System requirements Installing Node.js using package managers Installing from the source on POSIX-like systems Installing multiple Node.js instances with nvm Requirements for installing native code modules Choosing Node.js versions to use and the version policy Choosing editors and debuggers for Node.js Running and testing commands Advancing Node.js with ECMAScript 2015, 2016, 2017, and beyond Using Babel to use experimental JavaScript features Exploring Node.js Modules Defining a Node.js module Finding and loading modules using require and import Using npm ? the Node.js package management system The Yarn package management system HTTP Servers and Clients Sending and receiving events with EventEmitter Understanding HTTP server applications HTTP Sniffer ? listening to the HTTP conversation Web application frameworks Getting started with Express Creating an Express application to compute Fibonacci numbers Making HTTPClient requests Calling a REST backend service from an Express application Your First Express Application Exploring Promises and async functions in Express router functions Architecting an Express application in the MVC paradigm Creating the Notes application Theming your Express application Scaling up ? running multiple Notes instances Implementing the Mobile-First Paradigm Understanding the problem ? the Notes app isn't mobile friendly Learning the mobile-first paradigm theory Using Twitter Bootstrap on the Notes application Flexbox and CSS Grids Mobile-first design for the Notes application Using third-party custom Bootstrap themes Data Storage and Retrieval Remembering that data storage requires asynchronous code Logging and capturing uncaught errors Storing notes in a filesystem Storing notes with the LevelDB datastore Storing notes in SQL with SQLite3 Storing notes the ORM way with Sequelize Storing notes in MongoDB Additional course details: Nexus Humans Introduction to Node.js (TT4153) 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 Introduction to Node.js (TT4153) 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 1 Days 6 CPD hours This course is intended for To gain the most from attending this course you should possess the following incoming skills: Basic knowledge of programming concepts and syntax in Python. Familiarity with common data formats such as CSV, JSON, and XML. Experience using command-line interfaces and basic text editing tools. Understanding of basic machine learning concepts and algorithms. Overview Working in an interactive learning environment, led by our engaging expert, you will: Gain a solid understanding of prompt engineering concepts and their applications in software development and AI-driven solutions. Master the techniques for preprocessing and cleaning text data to ensure high-quality inputs for AI models like GPT-4. Develop expertise in GPT-4 tokenization, input formatting, and controlling model behavior for various tasks and requirements. Acquire the ability to design, optimize, and test prompts effectively, catering to diverse business applications and use cases. Learn advanced prompt engineering techniques, such as conditional text generation and multi-turn conversations, to create more sophisticated AI solutions. Practice creating prompts to generate, run, and test code in a chosen programming language using GPT-4 and OpenAI Codex. Understand the ethical implications and best practices in responsible AI deployment, ensuring fair and unbiased AI applications in software development. Prompt Engineering offers coders and software developers a competitive edge by empowering them to develop more effective and efficient AI-driven solutions in their projects. By harnessing the capabilities of cutting-edge AI models like GPT-4, coders can automate repetitive tasks, enhance natural language understanding, and even generate code suggestions, boosting productivity and creativity. In addition, mastering prompt engineering can contribute to improved job security, as professionals with these in-demand skills are highly sought after in the rapidly evolving tech landscape. Quick Start to Prompt Engineering for Coders and Software Developers is a one day course designed to get you quickly up and running with the prompting skills required to out AI to work for you in your development efforts. Guided by our AI expert, you?ll explore key topics such as text preprocessing, data cleansing, GPT-4 tokenization, input formatting, prompt design, and optimization, as well as ethical considerations in prompt engineering. In the hands-on labs you?ll explore tasks such as formatting inputs for GPT-4, designing and optimizing prompts for business applications, and implementing multi-turn conversations with AI. You?ll work with innovative tools like the OpenAI API, OpenAI Codex, and OpenAI Playground, enhancing your learning experience while preparing you for integrating prompt engineering into your professional toolkit. By the end of this immersive course, you?ll have the skills necessary to effectively use prompt engineering in your software development projects. You'll be able to design, optimize, and test prompts for various business tasks, integrate GPT-4 with other software platforms, and address ethical concerns in AI deployment. Introduction to Prompt Engineering Overview of prompt engineering and its importance in AI applications Major applications of prompt engineering in business Common challenges faced in prompt engineering Overview of GPT-4 and its role in prompt engineering Key terminology and concepts in prompt engineering Getting Things Ready: Text Preprocessing and Data Cleansing Importance of data preprocessing in prompt engineering Techniques for text cleaning and normalization Tokenization and n-grams Stop word removal and stemming Regular expressions and pattern matching GPT-4 Tokenization and Input Formatting GPT-4 tokenization and its role in prompt engineering Understanding and formatting GPT-4 inputs Context windows and token limits Controlling response length and quality Techniques for handling out-of-vocabulary tokens Prompt Design and Optimization Master the skills to design, optimize, and test prompts for various business tasks. Designing effective prompts for different tasks Techniques for prompt optimization GPT-4 system and user parameters for controlling behavior Importance of prompt testing and iteration Best practices for prompt engineering in business applications Advanced Techniques and Tools in Prompt Engineering Learn advanced techniques and tools for prompt engineering and their integration in business applications. Conditional text generation with GPT-4 Techniques for handling multi-turn conversations Overview of tools for prompt engineering: OpenAI API, OpenAI Codex, and OpenAI Playground Integration of GPT-4 with other software platforms and tools Monitoring and maintaining prompt performance Code Generation and Testing with Prompt Engineering Develop the skills to generate, integrate, and test AI-generated code effectively, enhancing productivity and creativity in software development projects. Introduction to code generation with AI models like GPT-4 Designing prompts for code generation across programming languages Techniques for specifying requirements and constraints in prompts Generating and interpreting code snippets using AI-driven solutions Integrating generated code into existing projects and codebases Best practices for testing and validating AI-generated code Ethics and Responsible AI Understand the ethical implications of prompt engineering and the importance of responsible AI deployment in business. Ethical considerations in prompt engineering Bias in AI systems and its impact on prompt engineering Techniques to minimize bias and ensure fairness Best practices for responsible AI deployment in business applications Monitoring and addressing ethical concerns in prompt engineering

Duration 3 Days 18 CPD hours Overview VMware vSphere: What's New [V8] https://lms.nhcms.neYou will learn essential Terraform concepts including: Writing Terraform HCL code Deploying into common clouds such as AWS, Azure, Docker, Kubernetes, and VMWare Where Terraform fits in the Enterprise CI/CD model Differences between Terraform and Ansible As enterprises seek to deploy and maintain increasingly complex cloud infrastructure, there is a necessity to use ?Infrastructure as Code? (IaC) tools, like Terraform. An open-source, state management tool developed by HashiCorp, Terraform allows developers to use a common coding interface to work through their various clouds safely and efficiently. Attendees will leave being able to write and understand Terraform code (HCL), have a clear understanding of Terraform?s various components and supporting tools, as well as when to reach for Terraform over another IaC tool, such as Ansible. This class prepares you for Terraform Certifcation. Up and Running with Terraform Terraform Overview Defining ?declarative? How to think about Terraform (versus Ansible) Reviewing the Terraform Configuration Running the Terraform Configuration Provisioners Syntax Low Level? HCL syntax Style Conventions Comments Blocks Arguments JSON Configuration Syntax Resources Meta-Arguments depends_on count for_each provider lifecycle Data Sources Variables and Output Input Variables Output Values Local Values Functions String Collection Numeric Encoding Filesystem Date and Time Hash and Crypto IP Network Type Conversion Modules Module Blocks Module Sources Meta Arguments Terraform Templates templatefile Function Template Demonstration Introducing Data Sources Creating an External Data Source Building tftpl template files Expressions Types and Values Strings and Templates Reference to Values Operators Function Calls Conditionals For Expressions Splat Expressions Dynamic Blocks Type Constraints Version Constraints State Understanding the importants of states state storage and locking importing existing resources Remote State What to do when local state is lost CICD Piplines with Terraform Terraform and GitLab pipelines Terraform and Jenkins pipelines Enterprise Case Studies Terraform and Docker Terraform and Kubernetes Terraform and Amazon AWS Terraform and Azure Terraform and VMWare Understanding how to apply Terraform to your unique infrastructure Beyond Basics Intro to Go Programming Terraform Cloud Additional HashiCorp Offerings Backends Secrets Additional course details: Nexus Humans Terraform 101 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 Terraform 101 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 5 Days 30 CPD hours This course is intended for Security Engineers, Security Administrators, Security Operations Specialists, Security Analysts, and Support Staff Overview The Palo Alto Networks Firewall 10.2 Essentials: Configuration and Management (EDU-210) course is five days of instructor-led training that will help you to: Configure and manage the essential features of Palo Alto Networks next-generation firewalls Configure and manage Security and NAT policies to enable approved traffic to and from zones Configure and manage Threat Prevention strategies to block traffic from known and unknown IP addresses, domains, and URLs Monitor network traffic using the interactive web interface and firewall reports Palo Alto Networks next-generation firewalls are architected to safely enable applications and prevent modern threats. Their approach identifies all network traffic based on applications, users, content and devices, and lets you express your business policies in the form of easy-to-understand security rules. Flexible deployment options and native integration with their next-generation security platform extend the policy enforcement and cyberthreat prevention to everywhere your users and data are located: in your network, on your endpoints and in the cloud. Palo Alto Networks next-generation firewalls are architected to safely enable applications and prevent modern threats. Their approach identifies all network traffic based on applications, users, content and devices, and lets you express your business policies in the form of easy-to-understand security rules. Flexible deployment options and native integration with their next-generation security platform extend the policy enforcement and cyberthreat prevention to everywhere your users and data are located: in your network, on your endpoints and in the cloud.