37391 RES courses delivered Online

Duration 2 Days 12 CPD hours This course is intended for The audience for this course includes professionals who are new to Looker who are interested in leveraging Looker for data analysis, visualization, and reporting. The course is designed for individuals seeking to gain a comprehensive understanding of Looker's functionalities and apply these skills in their organizations to drive data-driven decision-making. Overview This course combines expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Working in a hands-on learning environment led by our expert facilitator, you'll explore and gain: Comprehensive understanding of Looker's platform: Gain a solid foundation in Looker's key features, functionality, and interface, enabling you to navigate and utilize the platform effectively for your data analysis and visualization needs. Mastery of LookML and data modeling: Develop proficiency in Looker's unique data modeling language, LookML, to create customized and efficient data models that cater to your organization's specific requirements. Expertise in creating insightful Explores: Learn to build, customize, and save Explores with dimensions, measures, filters, and calculated fields, empowering you to analyze your data and uncover valuable insights. Proficiency in dashboard design and sharing: Acquire the skills to design visually appealing and informative dashboards, share them with different user roles, and schedule exports to keep stakeholders informed and up-to-date. Enhanced content organization with folders and boards: Understand how to effectively use folders and boards to organize, manage, and discover content within Looker, making it easily accessible for you and your team. Optional: Advanced visualization techniques for impactful storytelling: Master advanced visualization techniques, including customizations with HTML, CSS, and JavaScript, and interactive visualizations using Looker's API, to create compelling data stories that resonate with your audience. Discover the power of data analytics and visualization with our hands-on, two-day introductory course Looker Bootcamp: Analyzing and Visualizing Data with Looker. Designed for professionals who want to unlock valuable insights from their data, this immersive training experience will guide you through Looker's cutting-edge features and provide you with the essential skills to create engaging, interactive, and insightful reports and dashboards. Our experienced trainers will take you on a journey from the fundamentals of Looker and its unique data modeling language, LookML, to advanced visualization techniques and content organization strategies, ensuring you leave the course equipped to make data-driven decisions with confidence. Throughout the course, you will have the opportunity to participate in practical exercises and workshops that will help you apply the concepts and techniques learned in real-world scenarios. You will explore the potential of Looker's Explores, dive into LookML's capabilities, and master the art of dashboard design and sharing. Learn how to organize and manage your content with folders and boards and harness the power of advanced visualization techniques to make your data come alive. Getting Started with Looker Overview of Looker and its key features Navigating the Looker interface Looker terminology and basic concepts Connecting to Data Sources Setting up and managing data connections Exploring database schemas Understanding LookML: Looker's data modeling language Creating and Customizing Explores Building and customizing Explores Adding dimensions, measures, and filters Creating calculated fields Saving and organizing Explores Data Visualization Creating visualizations using Looker's visualization library Customizing chart types, colors, and labels Displaying visualizations in dashboards Introduction to Looker's API for custom visualizations Advanced Explores and LookML LookML refresher and best practices Creating derived tables and data transformations Managing access controls and data permissions Organizing and Sharing Content with Folders and Boards Introduction to folders and boards in Looker Creating and managing folders for organizing content Setting up boards for easy content discovery Sharing folders and boards with different user roles and permissions Dashboard Design and Sharing Best practices for dashboard design Adding, arranging, and resizing visualizations Scheduling and exporting dashboard data Advanced Visualization Techniques Customizing visualizations with HTML, CSS, and JavaScript Creating interactive visualizations using Looker's API Integrating Looker visualizations with other tools Hands-on Workshop and Project Participants work on a guided project to apply the skills learned Trainer provides individual support and guidance Project Presentations, Q&A, and Training Wrap-up Additional course details: Nexus Humans Looker Bootcamp: Analyzing and Visualizing Data with Looker (TTDVLK02) 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 Looker Bootcamp: Analyzing and Visualizing Data with Looker (TTDVLK02) 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 Administrators, architects, and business leaders who manage Nutanix clusters in the datacenter Managers and technical staff seeking information to drive purchase decisions Anyone who is seeking the Nutanix Certified Professional - Multicloud Infrastructure (NCP-MCI) certification Overview During this program, attendees will: Develop a working knowledge of the Nutanix product family. Understand the requirements and considerations involved in setting up a Nutanix cluster. Familiarize themselves with cluster management and monitoring via the Prism web console. Learn how to create, manage, and migrate VMs, set up data protection services, and plan for business continuity. Understand how to plan and handle upgrades, assess future requirements, and create what-if scenarios to adress scaling for business needs. The Nutanix Enterprise Cloud Administration (ECA) course enables administrators (system, network, and storage) to successfully configure and manage Nutanix in the datacenter. The course covers many of the tasks Nutanix administrators perform through the use of graphical user interfaces (GUIs) and command line interfaces (CLIs). It also provides insight into a Nutanix cluster?s failover and self-healing capabilities, offers tips for solving common problems, and provides guidelines for collecting information when interacting with Nutanix Support Introduction The section describes the Nutanix HCI solution, walks you through the components of the Nutanix Enterprise Cloud, and explains the relationship between physical and logical cluster components. Managing the Nutanix Cluster In this section, you will use the Prism console to monitor a cluster, configure a cluster using various interfaces, use the REST API Explorer to manage the cluster, and learn how to deploy Nutanix-specific PowerShell cmdlets. Securing the Nutanix Cluster This section shows how to secure a Nutanix cluster through user authentication, SSL certificate installation, and cluster access control. Acropolils Networking This section explains how to configure managed and unmanaged Acropolis networks and describes the use of Open vSwitch (OVS) in Acropolis. You will learn how to display and manage network details, differentiate between supported OVS bond modes, and gain insight into default network configuration. VM Management This section shows you how to upload images, and how to create and manage virtual machines. Health Monitoring and Alerts In this section, you will use the Health Dashboard to monitor a cluster?s health and performance. You will also use Analysis Dashboard to create charts that you can export with detailed information on a variety of components and metrics. Distributed Storage Fabric This section discusses creating and configuring storage containers, including the storage optimization features: deduplication, compression, and erasure coding. AHV Workload Migration Using Nutanix Move, this section shows how to migrate workloads to a cluster running AHV. This is followed by a lab where a VM running on a Nutanix cluster configured with ESXi is migrated to a Nutanix cluster running AHV. File and Volumes This section gives you detailed information on Nutanix Volumes, which provides highly available, high-performance block storage through a few easy configuration steps. It also discusses Nutanix Files. Understanding Infrastructure Resiliency This section shows how Nutanix provides comprehensive data protection at all levels of the virtual datacenter: logical and physical. Data Protection Data can be replicated between Nutanix clusters, synchronously and asynchronously. This section shows how to configure a Protection Domain (PD) and Remote Sites, recover a VM from a PD, and perform a planned failover of a PD. Prism Central Having discussed and used Prism Element earlier, this section looks at the capabilities of Prism Central. With the added functionality provided by a Pro license, the focus is on features related to monitoring and managing multiple activities across a set of clusters. Monitoring the Nutanix Cluster This section shows you where to locate and how to interpret cluster-related log files. In addition, you will take a closer look at the Nutanix Support Portal and online help. Cluster Management and Expansion This section outlines essential life-cycle operations, including starting/stopping a Nutanix cluster, as well as starting/shutting down a node. You will also learn how to expand a cluster, manage licenses, and upgrade the cluster?s software and firmware. Remote Office Branch Office (ROBO) Deployments In this section, you will understand various configurations and requirements specific to a ROBO site. This includes hardware/software, Witness VM, networking, failure and recovery scenarios for two-node clusters, and the seeding process. Additional course details: Nexus Humans NECA: Nutanix Enterprise Cloud Administration 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 NECA: Nutanix Enterprise Cloud Administration 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 This course is intended for the following participants: Individuals planning to deploy applications and create application environments on Google Cloud Developers, systems operations professionals, and solution architects getting started with Google Cloud. Executives and business decision makers evaluating the potential of Google Cloud to address their business needs. Overview This course teaches participants the following skills: Identify Google Cloud counterparts for AWS IaaS, AWS PaaS, AWS SQL, AWS Blob Storage, AWS Application Insights, and AWS Data Lake Configure accounts, billing, projects, networks, subnets, firewalls, VMs, disks, auto scaling, load balancing, storage, databases, IAM, and more Manage and monitor applications Explain feature and pricing model differences This course with labs introduces AWS professionals to the core capabilities of Google Cloud Platform (GCP) in the four technology pillars: networking, compute, storage, and database. It is designed for AWS Solution Architects and SysOps Administrators familiar with AWS features and setup and want to gain experience configuring GCP products immediately. With presentations, demos, and hands-on labs, participants will get details of similarities, differences, and initial how-tos quickly. Introducing Google Cloud Explain the advantages of Google Cloud. Define the components of Google's network infrastructure,including: Points of presence, data centers, regions, and zones. Understand the difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS) Getting Started with Google Cloud Identify the purpose of projects on Google Cloud Platform. Understand how AWS?s resource hierarchy differs from Google Cloud?s. Understand the purpose of and use cases for Identity and Access Management. Understand how AWS IAM differs from Google Cloud IAM. List the methods of interacting with Google Cloud Platform. Launch a solution using Cloud Marketplace. Virtual Machines in the Cloud Identify the purpose and use cases for Google Compute Engine. Understand the basics of networking in Google Cloud Platform. Understand how Amazon VPC differs from Google VPC. Understand the similarities and differences between Amazon EC2 and Google Compute Engine. Understand how typical approaches to load-balancing in Google Cloud differ from those in AWS. Deploy applications using Google Compute Engine. Storage in the Cloud Understand the purpose of and use cases for: Cloud Storage,Cloud SQL, Cloud Bigtable and Cloud Datastore. Understand how Amazon S3 and Amazon Glacier compare to Cloud Storage. Compare Google Cloud?s managed database services with Amazon RDS and Amazon Aurora. Learn how to choose among the various storage options on Google Cloud Platform. Load data from Cloud Storage into BigQuery. Perform a query on the data in BigQuery. Containers in the Cloud Define the concept of a container and identify uses for containers. Identify the purpose of and use cases for Google Container Engine and Kubernetes. Understand how Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS) differ from GKE. Provision a Kubernetes cluster using Kubernetes Engine. Deploy and manage Docker containers using kubectl Applications in the Cloud Understand the purpose of and use cases for Google App Engine. Contrast the App Engine Standard environment with the App Engine Flexible environment. Understand how App Engine differs from Amazon Elastic Beanstalk. Understand the purpose of and use cases for Google Cloud Endpoints. Developing, Deploying and Monitoring in the Cloud Understand options for software developers to host their source code. Understand the purpose of template-based creation and management of resources. Understand how Cloud Deployment Manager differs from AWS CloudFormation. Understand the purpose of integrated monitoring, alerting, and debugging. Understand how Google Monitoring differs from Amazon CloudWatch and AWS CloudTrail. Create a Deployment Manager deployment. Update a Deployment Manager deployment. View the load on a VM instance using Google Monitoring. Big Data and Machine Learning in the Cloud Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms. Understand how Google Cloud BigQuery differs from AWS Data Lake. Understand how Google Cloud Pub/Sub differs from AWS Event Hubs and Service Bus. Understand how Google Cloud?s machine-learning APIs differ from AWS's. Load data into BigQuery from Cloud Storage. Perform queries using BigQuery to gain insight into data. Summary and Review Review the products that make up Google Cloud and remember how to choose among them Understand next steps for training and certification Understand, at a high level, the process of migrating from AWS to Google Cloud. Additional course details: Nexus Humans Google Cloud Fundamentals for AWS Professionals 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 Google Cloud Fundamentals for AWS Professionals 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 2 Days 12 CPD hours This course is intended for vSphere administrators, architects, system engineers, and systems integrators who are responsible for the deployment or management of Site Recovery Manager Overview By the end of the course, you should be able to meet the following objectives: Summarize the components of Site Recovery Manager architecture Deploy and configure the Site Recovery Manager appliance Describe the principal disaster recovery topologies that are used with Site Recovery Manager Configure inventory and resource mappings Describe the storage replication options that are used with Site Recovery Manager Configure Site Recovery Manager to leverage array-based replication Describe VMware vSphere Replication™ functionality Describe the vSphere Replication architecture Deploy and configure vSphere Replication for use with Site Recovery Manager Build Site Recovery Manager array-based protection groups, protection groups based on vSphere Replication, and Virtual Volumes protection groups. Build, edit, execute, test, and remove a recovery plan Perform a planned migration This two-day, hands-on training course gives experienced VMware vSphere© administrators the knowledge to install, configure, and manage VMware Site Recovery Manager? 8.6. This course also shows you how to write and test disaster recovery plans that use Site Recovery Manager. Course Introduction Introductions and course logistics Course objectives Site Recovery Manager Architecture Describe Site Recovery Manager architecture Identify disaster recovery options with Site Recovery Manager Evaluate how Site Recovery Manager integrates with VMware products Describe Site Recovery Manager licensing options List the disaster recovery topologies supported by Site Recovery Manager Describe how VMware Site Recovery for VMware Cloud on AWS integrates with Site Recovery Manager Deploying and Configuring Site Recovery Manager Identify the vSphere and vCenter Server requirements for deploying Site Recovery Manager Define Site Recovery Manager virtual appliance system requirements Deploy the Site Recovery Manager appliance Navigate the Site Recovery Manager configuration UI Describe the process for registering Site Recovery Manager with vCenter Server Describe how to start and stop services in Site Recovery Manager Identify ways to perform updates to the Site Recovery Manager appliance Describe the options for accessing the Site Recovery Manager Describe the process for configuring site pairing Describe how to import and export Site Recovery Manager configuration Navigate the Site Recovery Manager configuration UI Describe the process for registering Site Recovery Manager with vCenter Server Describe how to start and stop services in Site Recovery Manager Identify ways to perform updates to the Site Recovery Manager appliance Describe the options for accessing the Site Recovery Manager Describe the process for configuring site pairing Describe how to import and export Site Recovery Manager configuration Configuring Inventory Mappings Explain the importance of inventory mappings Identify configuration options for inventory mappings Describe the importance of placeholder virtual machines and datastores Describe the importance of the vSphere inventory changes for Site Recovery Manager operation Using Array-Based Replication Describe array-based replication Describe Storage Replication Adapters and explain their role for the array-based replication Describe the concept and configuration of array pairs Describe datastore groups and the relationship between devices and datastore groups Describe the role of consistency groups Identify the advantages of array-based replication vSphere Replication Describe Site Recovery Manager with vSphere Replication Architecture Discuss the role of vSphere Replication components Discuss use cases for vSphere Replication Discuss system requirements and operational limits of vSphere Replication Determine how to calculate bandwidth requirements for vSphere Replication Identify the advantages of vSphere Replication Deploy a vSphere Replication appliance Configure a vSphere Replication appliance and register it with vCenter Server Pair vSphere Replication appliances Deploy an additional vSphere Replication server Register a vSphere Replication server with a vSphere Replication management server Replicating VMs Using vSphere Replication Describe the replication process used by vSphere Replication List vSphere Replication replica states Describe vSphere Replication of encrypted virtual machines Describe vSphere native key provider Describe how to configure vSphere Replication Discuss vSphere Replication RPO settings Describe MPIT instances Describe additional vSphere Replication settings Describe how to disable vSphere Replication Protection Groups Define protection group functionality Examine the differences between array-based protection groups, protection groups based on vSphere Replication, and Virtual Volumes protection groups Create a protection group View a placeholder virtual machine in the inventory Configure protection for virtual machines and edit protection groups Recovery Plans Discuss recovery plan concepts Discuss network planning Discuss the organization of storage for recovery plans Describe customization options in recovery planning Describe priority groups and VM dependencies Describe how to implement a recovery plan Configure VM recovery plan properties Describe the customization of recovery plans Configure additional steps in the recovery plan Delete a recovery plan Executing Recovery Plans Discuss use cases for Site Recovery Manager Describe planned migration Identify Site Recovery Manager workflows Examine Site Recovery Manager integration with various vSphere technologies Describe how to conduct a recovery plan test Perform a recovery plan test Identify the effect on the storage layer during the test recovery steps Review the recovery plan test steps Describe how to cancel a recovery plan test and clean up after recovery plan test cancelation Explain a recovery plan execution in planned migration or disaster recovery mode Identify the recovery steps for each execution type Describe a forced recovery Explain the importance of reprotection processes and states Examine failback steps Describe how to reprotect a data center Monitoring and Troubleshooting Identify Site Recovery Manager alarm options Generate Site Recovery Manager recovery plan history reports Configure Site Recovery Manager advanced settings Identify Site Recovery Manager logs Describe the vRealize Operations management pack for Site Recovery Manager

Duration 2 Days 12 CPD hours This course is intended for Experienced DataStage developers seeking training in more advanced DataStage job techniques and who seek techniques for working with complex types of data resources. Overview Use Connector stages to read from and write to database tables Handle SQL errors in Connector stages Use Connector stages with multiple input links Use the File Connector stage to access Hadoop HDFS data Optimize jobs that write to database tables Use the Unstructured Data stage to extract data from Excel spreadsheets Use the Data Masking stage to mask sensitive data processed within a DataStage job Use the Hierarchical stage to parse, compose, and transform XML data Use the Schema Library Manager to import and manage XML schemas Use the Data Rules stage to validate fields of data within a DataStage job Create custom data rules for validating data Design a job that processes a star schema data warehouse with Type 1 and Type 2 slowly changing dimensions This course is designed to introduce you to advanced parallel job data processing techniques in DataStage v11.5. In this course you will develop data techniques for processing different types of complex data resources including relational data, unstructured data (Excel spreadsheets), and XML data. In addition, you will learn advanced techniques for processing data, including techniques for masking data and techniques for validating data using data rules. Finally, you will learn techniques for updating data in a star schema data warehouse using the DataStage SCD (Slowly Changing Dimensions) stage. Even if you are not working with all of these specific types of data, you will benefit from this course by learning advanced DataStage job design techniques, techniques that go beyond those utilized in the DataStage Essentials course. Accessing databases Connector stage overview - Use Connector stages to read from and write to relational tables - Working with the Connector stage properties Connector stage functionality - Before / After SQL - Sparse lookups - Optimize insert/update performance Error handling in Connector stages - Reject links - Reject conditions Multiple input links - Designing jobs using Connector stages with multiple input links - Ordering records across multiple input links File Connector stage - Read and write data to Hadoop file systems Demonstration 1: Handling database errors Demonstration 2: Parallel jobs with multiple Connector input links Demonstration 3: Using the File Connector stage to read and write HDFS files Processing unstructured data Using the Unstructured Data stage in DataStage jobs - Extract data from an Excel spreadsheet - Specify a data range for data extraction in an Unstructured Data stage - Specify document properties for data extraction. Demonstration 1: Processing unstructured data Data masking Using the Data Masking stage in DataStage jobs - Data masking techniques - Data masking policies - Applying policies for masquerading context-aware data types - Applying policies for masquerading generic data types - Repeatable replacement - Using reference tables - Creating custom reference tables Demonstration 1: Data masking Using data rules Introduction to data rules - Using the Data Rules Editor - Selecting data rules - Binding data rule variables - Output link constraints - Adding statistics and attributes to the output information Use the Data Rules stage to valid foreign key references in source data Create custom data rules Demonstration 1: Using data rules Processing XML data Introduction to the Hierarchical stage - Hierarchical stage Assembly editor - Use the Schema Library Manager to import and manage XML schemas Composing XML data - Using the HJoin step to create parent-child relationships between input lists - Using the Composer step Writing Hierarchical data to a relational table Using the Regroup step Consuming XML data - Using the XML Parser step - Propagating columns Topic 6: Transforming XML data - Using the Aggregate step - Using the Sort step - Using the Switch step - Using the H-Pivot step Demonstration 1: Importing XML schemas Demonstration 2: Compose hierarchical data Demonstration 3: Consume hierarchical data Demonstration 4: Transform hierarchical data Updating a star schema database Surrogate keys - Design a job that creates and updates a surrogate key source key file from a dimension table Slowly Changing Dimensions (SCD) stage - Star schema databases - SCD stage Fast Path pages - Specifying purpose codes - Dimension update specification - Design a job that processes a star schema database with Type 1 and Type 2 slowly changing dimensions Demonstration 1: Build a parallel job that updates a star schema database with two dimensions Additional course details: Nexus Humans KM423 IBM InfoSphere DataStage v11.5 - Advanced Data Processing 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 KM423 IBM InfoSphere DataStage v11.5 - Advanced Data Processing 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 3 Days 18 CPD hours This course is intended for Attendee roles might include: Software Developers/Programmers Data Scientists Machine Learning Engineers AI Researchers User Interface (UI) and User Experience (UX) Designers Technical Product Managers Technical Team Leads Overview Working in an interactive learning environment, led by our engaging AI expert you'll: Develop a strong foundational understanding of generative AI techniques and their applications in software development. Gain hands-on experience working with popular generative AI models, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformer models. Master the use of leading AI libraries and frameworks, such as TensorFlow, Keras, and Hugging Face Transformers, for implementing generative AI models. Acquire the skills to design, train, optimize, and evaluate custom generative AI models tailored to specific software development tasks. Learn to fine-tune pre-trained generative AI models for targeted applications and deploy them effectively in various environments, including cloud-based services and on-premises servers. Understand and address the ethical, legal, and safety considerations of using generative AI, including mitigating biases and ensuring responsible AI-generated content. 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. Generative AI represents an exhilarating frontier in artificial intelligence, specializing in the creation of new data instances, imitation of real data, and content generation. Its remarkable capabilities facilitate automated content creation, enriched user experiences, and groundbreaking solutions across diverse industries, ultimately fueling efficiency and transcending technological limits. By harnessing the power of generative AI, developers can craft dynamic content, produce code and documentation, refine user interfaces, and devise customized recommendations, empowering them to construct highly efficient and custom solutions for a wide range of applications. Designed for experienced programmers, Turbocharge Your Code! Generative AI Boot Camp for Developers is a three-day workshop-style course that teaches you the latest skills and tools required to master generative AI models, transforming the way you approach software development. In today's fast-paced technological landscape, generative AI has emerged as a game-changer, with leading companies like NVIDIA, OpenAI, and Google leveraging its capabilities to push the boundaries of innovation. By learning how to harness the power of generative models such as GANs, VAEs, and Transformer models, you will be able to generate code, documentation, and tests, enhance user interfaces, and create dynamic content that adapts to user needs. Our comprehensive curriculum covers everything from the fundamentals of generative AI to advanced techniques and ethical considerations, including hands-on labs where you will develop and deploy custom models using state-of-the-art AI tools and libraries like TensorFlow and Hugging Face Transformers. Throughout the course you'll focus on practical application and collaboration, building confidence with personalized guidance and real-time feedback from our expert live instructor. Upon completion, you will be equipped with the knowledge and experience necessary to develop and implement innovative generative AI models across various industries, improving existing products, creating new applications, and gaining highly-valuable skills in the rapidly advancing field of AI. Additional course details: Nexus Humans Turbocharge Your Code! Generative AI Boot Camp for Developers (TTAI2305) 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 Turbocharge Your Code! Generative AI Boot Camp for Developers (TTAI2305) 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 3 Days 18 CPD hours This course is intended for This in an intermediate and beyond-level course is geared for experienced Python developers looking to delve into the exciting field of Natural Language Processing. It is ideally suited for roles such as data analysts, data scientists, machine learning engineers, or anyone working with text data and seeking to extract valuable insights from it. If you're in a role where you're tasked with analyzing customer sentiment, building chatbots, or dealing with large volumes of text data, this course will provide you with practical, hands on skills that you can apply right away. Overview This course combines engaging instructor-led presentations and useful demonstrations with valuable hands-on labs and engaging group activities. Throughout the course you'll: Master the fundamentals of Natural Language Processing (NLP) and understand how it can help in making sense of text data for valuable insights. Develop the ability to transform raw text into a structured format that machines can understand and analyze. Discover how to collect data from the web and navigate through semi-structured data, opening up a wealth of data sources for your projects. Learn how to implement sentiment analysis and topic modeling to extract meaning from text data and identify trends. Gain proficiency in applying machine learning and deep learning techniques to text data for tasks such as classification and prediction. Learn to analyze text sentiment, train emotion detectors, and interpret the results, providing a way to gauge public opinion or understand customer feedback. The Hands-on Natural Language Processing (NLP) Boot Camp is an immersive, three-day course that serves as your guide to building machines that can read and interpret human language. NLP is a unique interdisciplinary field, blending computational linguistics with artificial intelligence to help machines understand, interpret, and generate human language. In an increasingly data-driven world, NLP skills provide a competitive edge, enabling the development of sophisticated projects such as voice assistants, text analyzers, chatbots, and so much more. Our comprehensive curriculum covers a broad spectrum of NLP topics. Beginning with an introduction to NLP and feature extraction, the course moves to the hands-on development of text classifiers, exploration of web scraping and APIs, before delving into topic modeling, vector representations, text manipulation, and sentiment analysis. Half of your time is dedicated to hands-on labs, where you'll experience the practical application of your knowledge, from creating pipelines and text classifiers to web scraping and analyzing sentiment. These labs serve as a microcosm of real-world scenarios, equipping you with the skills to efficiently process and analyze text data. Time permitting, you?ll also explore modern tools like Python libraries, the OpenAI GPT-3 API, and TensorFlow, using them in a series of engaging exercises. By the end of the course, you'll have a well-rounded understanding of NLP, and will leave equipped with the practical skills and insights that you can immediately put to use, helping your organization gain valuable insights from text data, streamline business processes, and improve user interactions with automated text-based systems. You?ll be able to process and analyze text data effectively, implement advanced text representations, apply machine learning algorithms for text data, and build simple chatbots. Launch into the Universe of Natural Language Processing The journey begins: Unravel the layers of NLP Navigating through the history of NLP Merging paths: Text Analytics and NLP Decoding language: Word Sense Disambiguation and Sentence Boundary Detection First steps towards an NLP Project Unleashing the Power of Feature Extraction Dive into the vast ocean of Data Types Purification process: Cleaning Text Data Excavating knowledge: Extracting features from Texts Drawing connections: Finding Text Similarity through Feature Extraction Engineer Your Text Classifier The new era of Machine Learning and Supervised Learning Architecting a Text Classifier Constructing efficient workflows: Building Pipelines for NLP Projects Ensuring continuity: Saving and Loading Models Master the Art of Web Scraping and API Usage Stepping into the digital world: Introduction to Web Scraping and APIs The great heist: Collecting Data by Scraping Web Pages Navigating through the maze of Semi-Structured Data Unearth Hidden Themes with Topic Modeling Embark on the path of Topic Discovery Decoding algorithms: Understanding Topic-Modeling Algorithms Dialing the right numbers: Key Input Parameters for LSA Topic Modeling Tackling complexity with Hierarchical Dirichlet Process (HDP) Delving Deep into Vector Representations The Geometry of Language: Introduction to Vectors in NLP Text Manipulation: Generation and Summarization Playing the creator: Generating Text with Markov Chains Distilling knowledge: Understanding Text Summarization and Key Input Parameters for TextRank Peering into the future: Recent Developments in Text Generation and Summarization Solving real-world problems: Addressing Challenges in Extractive Summarization Riding the Wave of Sentiment Analysis Unveiling emotions: Introduction to Sentiment Analysis Tools Demystifying the Textblob library Preparing the canvas: Understanding Data for Sentiment Analysis Training your own emotion detectors: Building Sentiment Models Optional: Capstone Project Apply the skills learned throughout the course. Define the problem and gather the data. Conduct exploratory data analysis for text data. Carry out preprocessing and feature extraction. Select and train a model. ? Evaluate the model and interpret the results. Bonus Chapter: Generative AI and NLP Introduction to Generative AI and its role in NLP. Overview of Generative Pretrained Transformer (GPT) models. Using GPT models for text generation and completion. Applying GPT models for improving autocomplete features. Use cases of GPT in question answering systems and chatbots. Bonus Chapter: Advanced Applications of NLP with GPT Fine-tuning GPT models for specific NLP tasks. Using GPT for sentiment analysis and text classification. Role of GPT in Named Entity Recognition (NER). Application of GPT in developing advanced chatbots. Ethics and limitations of GPT and generative AI technologies.

Duration 2 Days 12 CPD hours This course is intended for Executives, Project Managers, Business Analysts, Business and IT stakeholders working with analysts, Quality and process engineers, technicians, managers; supervisors, team leaders, and process operators; anyone who wants to improve their Business Analysis skills. Overview After completing this course, students will know how to: Plan, manage and close requirements for software development project in reduced time using Agile Scrum practices Minimize project uncertainty and risk by applying Agile principles through the Scrum method Ensure your project delivers required functionality and adds value to the business Create an environment of self-management for your software development team that will be able to continuously align the delivered software with desired business needs, easily adapting to changing requirements throughout the process. Learn how to apply Agile Scrum by measuring and evaluating status based on the undeniable truth of working, testing software, creating a more accurate visibility into the actual progress of projects. Many of today?s Project Management and Business Analyst Professionals are finding themselves leading, managing and analyzing on Agile development teams - only to find that many of the tools and techniques applied when using a traditional project management approach no longer work as effectively or at all. In order to do more than survive in this iterative development environment, today?s Project Manager and Business Analyst must employ additional project management and business analysis tools and techniques to effectively lead their teams and deliver their projects. Introduction - Fundamentals of Agile Why Agile? Exercise 1a: Waterfall-Lean-Agile Simulation History & Mindset: Understand how the agile approach arose. The Agile Lifecycle Introducing Agile to the organization Roles and Responsibilities on an Agile project team. Understand the purpose, the concepts, the theory, and some applications around the importance of people as individuals providing value through working in teams. Establishing core hours - How will the team work during a day? How to build end-to-end systems in early iterations Exercise 1b: How to build end-to-end systems in early iterations Planning and Managing Business Analysis Communication and Performance Agile and CMMI Exercise 1c: Case Study Project Assembling the team ? Scrum Roles Value-Driven Development: Understand why agile development focuses so heavily on working products, its more general casting as 'value-driven' development, with incremental, iterative and risk-driven approaches. Themes, theory and applications. Exercise 2a: Identify the ?Product Owner? Identify Project Success Criteria Exercise 2b: Review the Scrum Cheat Sheet Establish your Agile team using RACI Exercise 2c: Build the Scrum Team Define the Product and Project Vision Envision the Product and Project outcomes Exercise 3a: Review Agile Checklist Project Chartering (Project Planning) Assemble the Agile project team ? what are their responsibilities? Compile the Product Backlog (Coarse-Grain Requirements) Discuss how to Plan Sprints and Releases Exercise 3b: Product Vision ? Goals and Strategies Establish the Project ?time-box? Exercise 3c: Create a Release Plan Embrace the High-Level (Coarse-Grain) Plan Managing different types of Personas on an Agile Project Identifying and managing ?Information Radiators? Planning in Agile Projects ? Common practices that work Determine how the team will tracking and monitoring activities Exercise 3c: Establish the Project Time-box Tools and Techniques ? Building the Scrum Task board Communications Exercise 4a: Discussion ? Tools and Techniques for Scrum Planning, Monitoring and Adapting Scrum Task Board Exercise 4c: Create a Scrum Task board ? Identify work streams Agile Estimating Agile Analysis and Design Burndown Chart Team Velocity Soft Skills Negotiation Estimating ad Prioritizing Effort Planning Releases. Understand the value, the concepts, the theory and some applications for learning and adapting at all levels and on all topics (the product, the process, the team, and the organization). Exercise 5a: Brainstorm Business Functionality Establishing decision and acceptance criteria for user stories Planning Poker Exercise 5b: Estimate Effort (Coarse-Grain) Prioritize themes and releases Prioritize user stories Exercise 5c: Confirm the Estimated Effort (Fine Grain) Estimating team velocity Preparing for change ? Is the organization ready? Exercise 5d: Hold a daily Scrum and update the Scrum Task Board Exercise 5e: Conduct a Scrum or Scrums Plan the Iteration (Sprint) Sprint Zero activities Elements of a successful Sprint Planning meeting Create a Sprint Backlog How to create a task board Exercise 6a: Using the case study ? Review Iteration Planning Checklist Create a Sprint plan ? Establishing Sprint success metrics Exercise 6b: Discussion Sprint ?Zero? Activities Define the vision and Iteration Requirements Estimating the level of effort (LOE) with the team Creating user Stories for the Product Backlog -Guidelines to consider The art of slicing user stories Exercise 6c: Review the Sprint Plan Managing the Solution Scope and Requirements using 2-4 week Sprints Exercise 6d: Adapting a change-driven Project plan that works Adapting a change-driven (Agile) Project plan that works ? what are the key differences from traditional (waterfall) project plans? Finalize the Iteration Plan and how the team will operate Running the Sprint - from Planning to Review and Retrospective Managing your Scrums and setting expectations with your team Exercise 7a: Using the case study ? Review the Review Planning checklist Using Burndown charts to track progress Exercise 7b: Using the case study ? Review the Review Retrospective checklist Manage changes during the Sprint ? What questions to ask Prepare for the Sprint Review Exercise 7c: Review of roles - Quiz Obtain Customer Acceptance of the Product Increment Hold a Sprint Retrospective - What is working and what needs to be improved upon during the Sprints Update the product backlog - Rework the High-Level (Coarse-Grain) Plan Plan and Execute the next Sprint Create an environment for continuous improvement ? Product, Process and People Additional Information Useful books and links on Agile

Duration 5 Days 30 CPD hours This course is intended for The primary audiences for this course are the following: • Operators of Juniper Networks security solutions, including network engineers, administrators, support personnel, and resellers. Overview After successfully completing this course, you should be able to: Identify security challenges in today's networks. Identify products that are incorporated into the Juniper Connected Security solution. Explain the value of implementing security solutions. Explain how Juniper Connected Security solves the cyber security challenges of the future. Explain SRX Series session management. Explain Junos ALG functions and when to use them. Describe policy logging on the SRX series device. Explain security policy scheduling. Describe application security theory. Explain application signature usage in AppID. Describe the AppTrack service. Describe the AppFW service. Describe the AppQoS service. Configure security policies using the AppSecure suite of services. Explain unified security policies. Describe IPS signatures. Configure an IPS policy using pre-defined templates. Describe how to update the IPS attack object database. Describe IPS rules and rule bases. Configure custom attack objects. Describe Junos Space and Security Director. Configure policy management using Security Director. Describe Security Director objects. Explain the different licensing options for Sky ATP List Sky ATP's features and benefits. Configure Sky ATP profiles and enroll an SRX Series device. Configure file scanning on Sky ATP. Configure Sky ATP to scan email Configure GeoIP on Sky ATP. Describe the JATP features and benefits List the JATP device options. Explain the JATP architecture. List 3rd party support options for JATP. Explain JATP SmartCore analytics processes. Describe Policy Enforcer configuration options. Describe Policy Enforcer integration with Sky ATP. Configure Policy Enforcer to block lateral malware movement. Explain Juniper Secure Analytics features and benefits. Describe JSA log collection. Describe JSA network flow collection. Describe the JSA Offense Management workspace. Explain the JSA Risk Manager features. Configure JSA to collect network and log collection. Explain the features of JIMS. Describe JIMS integration into the current AD network. Describe the Sky Enterprise service and how it can save resources. Explain the Sky Enterprise monitoring service. Explain the vSRX Series device benefits. Describe use cases for the vSRX. Explain the cSRX Series device benefits. Describe use cases for the cSRX. Describe SSL Proxy Concepts. Explain Forward and Reverse Proxy and the limitations of each. Configure both Forward and Reverse Proxy. This five-day course uses the Junos J-Web, CLI, Junos Space, and other user interfaces to introduce students to the concept of Juniper Connected Security. Chapter 1: Course Introduction Course Introduction Chapter 2: CLI Overview User Interface Options Command-Line Interface Initial Configuration Interface Configuration Lab 1: CLI Overview Chapter 3: Advanced Security Policy Session Management Junos ALGs Policy Scheduling Policy Logging Lab 2: Advanced Security Policy Chapter 4: Application Security Theory Application ID Application Signatures App Track App Firewall App QoS App QoE Chapter 5: Application Security Implementation AppTrack Implementation AppFW Implementation AppQos Implementation APBR Implementation Lab 3: Application Security Chapter 6: Intrusion Detection and Prevention IPS Overview IPS Policy Attack Objects IPS Configuration IPS Monitoring Lab 4: Implementing IPS Chapter 7: Security Director Overview Security Director Objects Security Director Policy Management Lab 5: Security Director Chapter 8: Sky ATP Implementation Architecture and Key Components Features and Benefits Configuration Compromised Hosts Command and Control File Scanning E-mail Scanning Geo IP Security Policy Integration Troubleshooting Lab 6: Sky ATP Implementation Chapter 9: Policy Enforcer Policy Enforcer Concepts Configuration Options Policy Enforcer Installation Lab 7: Policy Enforcer Chapter 10: JATP Overview Traffic Inspection Threat Detection Threat Analysis JATP Architecture Chapter 11: JATP Implementation Data Collectors Configure SmartCore Analytics Engine Log Ingestion Incident Management SRX Threat Prevention 3rd Party support for Threat Prevention Reporting Lab 8: JATP Chapter 12: Juniper Secure Analytics (JSA) JSA Overview Data Collection Log Analytics Threat Analytics Vulnerability Management Risk Management Lab 9: JSA Chapter 13: JIMS JIMS Overview JIMS Integration Lab 10: JIMS Chapter 14: vSRX and cSRX vSRX Overview vSRX Supported Features vSRX Use Cases cSRX Overview Lab 11: vSRX Installation Chapter 15: SSL Proxy SSL Proxy Overview SSL Concepts SSL Proxy Configurations Troubleshooting Lab 12: SSL Proxy Chapter 16: Cluster Concepts Chassis Cluster Concepts Chassis Cluster Operation Chapter 17: Chassis Cluster Implementation Chassis Cluster Configuration Chassis Cluster Advanced Options Lab 13: Chassis Cluster Implementation Chapter 18: Chassis Cluster Troubleshooting Chassis Cluster Case Studies Troubleshooting Examples Lab 14: Chassis Cluster Troubleshooting Additional course details: Nexus Humans JSEC - Junos Security 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 JSEC - Junos Security 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 This course will help you: Prepare for entry-level job roles in the high-demand area of data center environments Prepare for courses that support the Cisco Certified Network Professional Data Center certification exams Gain knowledge and hands-on skills through Cisco's unique combination of lessons and hands-on practice using enterprise-grade Cisco learning technologies, data center equipment, and software Overview After taking this course, you should be able to: Describe the foundations of data center networking Describe Cisco Nexus products and explain the basic Cisco NX-OS functionalities and tools Describe Layer 3 first-hop redundancy Describe Cisco Fabric Extender (FEX) connectivity Describe Ethernet port channels and virtual port channel (VPCs) Introduce switch virtualization, machine virtualization, and network virtualization Compare storage connectivity options in the data center Describe Fibre Channel communication between the initiator server and the target storage Describe Fibre Channel zone types and their uses Describe N-Port Virtualization (NPV) and N-Port Identifier Virtualization (NPIV) Describe data center Ethernet enhancements that provide a lossless fabric Describe Fibre Channel over Ethernet FCoE Describe data center server connectivity Describe Cisco UCS Manager Describe the purpose and advantages of APIs Describe Cisco ACI Describe the basic concepts of cloud computing The Understanding Cisco Data Center Foundations (DCFNDU) v1.0 course helps you prepare for entry-level data center roles. In this course, you will learn the foundational knowledge and skills you need to configure Cisco© data center technologies including: networking, virtualization, storage area networking, and unified computing. You will get an introduction to Cisco Application Centric Infrastructure (Cisco ACI), automation and cloud computing. You will get hands-on experience with configuring features on Cisco Nexus Operating System (Cisco NX-OS) and Cisco Unified Computing System (Cisco UCS). This course also earns you 30 Continuing Education (CE) credits towards recertification. Describing the Data Center Network Architectures Cisco Data Center Architecture Overview Three-Tier Network: Core, Aggregation, and Access Spine-and-Leaf Network Two-Tier Storage Network Describing the Cisco Nexus Family and Cisco NX-OS Software Cisco Nexus Data Center Product Overview Cisco NX-OS Software Architecture Cisco NX-OS Software CLI Tools Cisco NX-OS Virtual Routing and Forwarding Describing Layer 3 First-Hop Redundancy Default Gateway Redundancy Hot Standby Router Protocol Virtual Router Redundancy Protocol Gateway Load Balancing Protocol Describing Cisco FEX Server Deployment Models Cisco FEX Technology Cisco FEX Traffic Forwarding Cisco Adapter FEX Describing Port Channels and VPCs Ethernet Port Channels Virtual Port Channels Supported VPC Topologies Describing Switch Virtualization Cisco Nexus Switch Basic Components Virtual Routing and Forwarding Cisco Nexus 7000 Virtual Device Contexts (VDCs) VDC Types VDC Resource Allocation VDC Management Describing Machine Virtualization Virtual Machines Hypervisor VM Manager Describing Network Virtualization Overlay Network Protocols Virtual Extensible LAN (VXLAN) Overlay VXLAN Border Gateway Protocol (BGP) Ethernet VPN (EVPN) Control Plane VXLAN Data Plane Cisco Nexus 1000VE Series Virtual Switch VMware vSphere Virtual Switches Introducing Basic Data Center Storage Concepts Storage Connectivity Options in the Data Center Fibre Channel Storage Networking Virtual Storage Area Network (VSAN) Configuration and Verification Describing Fibre Channel Communication Between the Initiator Server and the Target Storage Fibre Channel Layered Model Fabric Login (FLOGI) Process Fibre Channel Flow Control Describing Fibre Channel Zone Types and Their Uses Fibre Channel Zoning Zoning Configuration Zoning Management Describing Cisco NPV Mode and NPIV Cisco NPV Mode NPIV Mode Describing Data Center Ethernet Enhancements Institute of Electrical and Electronic Engineers (IEEE) Data Center Bridging Priority Flow Control Enhanced Transmission Selection Data Center Bridging Exchange (DCBX) Protocol Congestion Notification Describing FCoE Cisco Unified Fabric FCoE Architecture FCoE Initialization Protocol FCoE Adapters Describing Cisco UCS Components Physical Cisco UCS Components Cisco Fabric Interconnect Product Overview Cisco I/O Module (IOM) Product Overview Cisco UCS Mini Cisco Integrated Management Controller (IMC) Supervisor Cisco Intersight? Describing Cisco UCS Manager Cisco UCS Manager Overview Identity and Resource Pools for Hardware Abstraction Service Profiles and Service Profile Templates Cisco UCS Central Overview Cisco HyperFlex? Overview Using APIs Common Programmability Protocols and Methods How to Choose Models and Processes Describing Cisco ACI Cisco ACI Overview Multitier Applications in Cisco ACI Cisco ACI Features VXLAN in Cisco ACI Unicast Traffic in Cisco ACI Multicast Traffic in Cisco ACI Cisco ACI Programmability Common Programming Tools and Orchestration Options Describing Cloud Computing Cloud Computing Overview Cloud Deployment Models Cloud Computing Services Additional course details: Nexus Humans Cisco Understanding Cisco Data Center Foundations v1.1 (DCFNDU) 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 Understanding Cisco Data Center Foundations v1.1 (DCFNDU) 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.