204 Courses delivered Live Online

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course is as follows - IT Staff and Managers - Network and systems personnel and engineers - Small to mid-sized organizations that require fundamental knowledge on networking terms/concepts and configuration guidance for Meraki equipment This also includes organizations looking to implement remote sites, provide a guest wireless solution, and collect user analytics Overview Upon completing this course, the student will be able to meet these objectives: Students will be able to Deploy and Manage a Meraki Network using the Meraki Dashboard - Deploy, Manage, Monitor and Troubleshoot Meraki MS Switches - Deploy, Manage, Monitor and Troubleshoot Meraki MR Wireless Access Points - Deploy, Manage, Monitor and Troubleshoot Meraki MX Firewall Appliances - Deploy, Manage, Monitor and Troubleshoot Meraki MV IP Video Cameras - Deploy, Manage, Monitor and Troubleshoot Meraki MC Phones - Deploy, Manage, Monitor and Troubleshoot Meraki Systems Manager - Deploy, Manage, Monitor and Troubleshoot Meraki SDWAN This course familiarizes individuals with networking concepts and demonstrates how to effectively use Meraki products to build a comprehensive network Cisco/Meraki Product Line Introduction MS - Switching MR - Wireless LAN MX - Security MV ? Camera MC - Voice SD-WAN Cisco/Meraki Cloud Management Introduction to cloud management The dashboard and navigation Organizations & Networks ? what is the difference and how to use them System-wide parameters (organization parameters) Cisco/Meraki Dashboard Administration Creating and implementing maps Summary Report and Auto Generation Reports Adding administrators and tweaking security levels Using Tags and Configuring Alerting (SNMP, email) Adding admins, configuring reports, and alerts Firmware Management Configuring Authentication Lab 1 Lab 2 Configuring external authentication Configuring Group Policies Device Replacement Location Analytics Other advanced analytics Cisco/Meraki Switching Review switching basics Review Meraki L2 Switch Models Configuring Meraki Switches Troubleshooting / Diagnostics Lab 3 Cisco/Meraki Routing Review routing basic (IP Addresses, Networks and Masks, OSPF, etc.) Review Meraki L3 switch Models Configuring Meraki Switches for Routing Lab 4 Cisco/Meraki Wireless Review Wireless Basics Meraki Wireless Product Review Performing a Site Survey Configuring Access Points Lab 5 Cisco/Meraki Firewalls/Security Review firewall basics Meraki Firewall Model Review Configuring a Meraki Firewall Lab 6 IP Cameras MV21 vs MV71 Installing Cameras Adding Cameras to the Dashboard Managing MV Cameras Troubleshooting Cameras Lab 7 Meraki Communications QOS Voice Security Deploying Meraki MC74 Phones Deploying Cisco IP Phones to CUCM Deploying Voice Features End User Lab 8 Meraki Systems Manager Controlling Wireless Device Policies Enrolling Devices Apps Profiles Tags Security Policies Geofencing Policies Lab 9 Meraki SDWAN What is SD-WAN? Concentrator Mode VPN Topology Split Tunnel Full Tunnel Hub and Spoke VPN Mesh Datacenter Redundancy (DC-DC Failover) Warm Spare (High Availability) for VPN concentrators Connection Monitor Dual-Active VPN uplinks Policy-based Routing Dynamic Path Selection SD-WAN Objectives Example Topology High Level Traffic Flow SD-WAN Technologies Deploying a one-armed concentrator Dashboard Configuration Other Datacenter Configuration MX IP Assignment Upstream Considerations Datacenter Redundancy (DC-DC Failover) High-level architecture Failover Times Datacenter Deployment Branch Deployment Lab 10 Meraki Support Getting support for Meraki Finding the Right Documentation Posting in the Community Troubleshooting Meraki Connectivity Issues Resetting Devices. Additional course details: Nexus Humans Implementing and Configuring Meraki Technologies v1.0 (ICMT - CT) 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 Implementing and Configuring Meraki Technologies v1.0 (ICMT - CT) 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.

Motorsport is as much a business as it is a sport. Our new master’s programme will provide students with a broad range of modules which examine the national and international aspects of the industry from a commercial perspective. From governance, structure and international sports law, through to the importance and interdependence of commercial rights holders, promoters, manufacturer, teams, sponsors and the role played by the media, this course is aimed at enhancing the professional and career prospects of those with an aspiration of working within this exciting and challenging global industry. Our programme will help you to develop as professionals with a strong grounding in ethics and a clear sense of how motorsport relates to various cultures, stakeholders and the sectors it interacts with.

Duration 5 Days 30 CPD hours This course is intended for Network design engineers Network engineers System administrators Overview After taking this course, you should be able to: Design Enhanced Interior Gateway Routing Protocol (EIGRP) internal routing for the enterprise network Design Open Shortest Path First (OSPF) internal routing for the enterprise network Design Intermediate System to Intermediate System (IS-IS) internal routing for the enterprise network Design a network based on customer requirements Design Border Gateway Protocol (BGP) routing for the enterprise network Describe the different types and uses of Multiprotocol BGP (MP-BGP) address families Describe BGP load sharing Design a BGP network based on customer requirements Decide where the L2/L3 boundary will be in your Campus network and make design decisions Describe Layer 2 design considerations for Enterprise Campus networks Design a LAN network based on customer requirements Describe Layer 3 design considerations in an Enterprise Campus network Examine Cisco SD-Access fundamental concepts Describe Cisco SD-Access Fabric Design Design a Software-Defined Access (SD-Access) Campus Fabric based on customer requirements Design service provider-managed VPNs Design enterprise-managed VPNs Design a resilient WAN Design a resilient WAN network based on customer requirements Examine the Cisco SD-WAN architecture Describe Cisco SD-WAN deployment options Design Cisco SD-WAN redundancy Explain the basic principles of QoS Design Quality of Service (QoS) for the WAN Design QoS for enterprise network based on customer requirements Explain the basic principles of multicast Designing rendezvous point distribution solutions Describe high-level considerations when doing IP addressing design Create an IPv6 addressing plan Plan an IPv6 deployment in an existing enterprise IPv4 network Describe the challenges that you might encounter when transitioning to IPv6 Design an IPv6 addressing plan based on customer requirements Describe Network APIs and protocols Describe Yet Another Next Generation (YANG), Network Configuration Protocol (NETCONF), and Representational State Transfer Configuration Protocol (RESTCONF) The Designing Cisco Enterprise Networks (ENSLD) v1.1 course gives you the knowledge and skills you need to design an enterprise network. This course serves as a deep dive into enterprise network design and expands on the topics covered in the Implementing and Operating Cisco© Enterprise Network Core Technologies (ENCOR) v1.0 course.This course also helps you prepare to take the 300-420 Designing Cisco Enterprise Networks (ENSLD) exam which is part of the CCNP© Enterprise and Cisco Certified Specialist - Enterprise Design certifications. Course Outline Designing EIGRP Routing Designing OSPF Routing Designing IS-IS Routing Design Case Study Activity: Designing Enterprise Connectivity Designing BGP Routing and Redundancy Understanding BGP Address Families and Attributes Design Case Study Activity: Designing an Enterprise Network with BGP Internet Connectivity Designing the Enterprise Campus LAN Designing Layer 2 Campus Design Case Study Activity: Designing an Enterprise Campus LAN Designing Layer 3 Campus Discovering the Cisco SD-Access Architecture Exploring Cisco SD-Access Fabric Design Exploring Cisco SD-Access Site Design Strategy and Considerations Design Case Study Activity: Designing Cisco SD-Access in the Enterprise Designing Service Provider-Managed VPNs Designing Enterprise-Managed VPNs Designing WAN Resiliency Design Case Study Activity: Designing Resilient Enterprise WAN Examining Cisco SD-WAN Architectures Examining Cisco SD-WAN Deployment Design Considerations Designing Cisco SD-WAN Routing and High Availability Design Case Study Activity: Designing Resilient Enterprise Cisco SD-WAN Understanding QoS Designing LAN and WAN QoS Design Case Study Activity: Designing QoS in an Enterprise Network Exploring Multicast with Protocol-Independent Multicast-Sparse Mode (PIM-SM) Designing Rendezvous Point Distribution Solutions Designing an IPv4 Address Plan Exploring IPv6 Deploying IPv6 Design Case Study Activity: Designing an Enterprise IPv6 Network Introducing Network APIs and Protocols Exploring YANG, NETCONF, RESTCONF, and Model-Driven Telemetry Additional course details: Nexus Humans Cisco Designing Cisco Enterprise Networks v1.1 (ENSLD) 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 Designing Cisco Enterprise Networks v1.1 (ENSLD) 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 This course is open to engineers, administrators, and security-minded users of public, private, and hybrid cloud infrastructures responsible for implementing security in cloud environments: Security architects Cloud architects Security engineers Cloud engineers System engineers Cisco integrators and partners Overview After taking this course, you should be able to: Contrast the various cloud service and deployment models. Implement the Cisco Security Solution for SaaS using Cisco Cloudlock Micro Services. Deploy cloud security solutions using Cisco AMP for Endpoints, Cisco Umbrella, and Cisco Cloud Email Security. Define Cisco cloud security solutions for protection and visibility using Cisco virtual appliances and Cisco Stealthwatch Cloud. Describe the network as a sensor and enforcer using Cisco Identity Services Engine (ISE), Cisco Stealthwatch Enterprise, and Cisco TrustSec. Implement Cisco Firepower NGFW Virtual (NGFWv) and Cisco Stealthwatch Cloud to provide protection and visibility in AWS environments. Explain how to protect the cloud management infrastructure by using specific examples, defined best practices, and AWS reporting capabilities. This course shows you how to implement Cisco© cloud security solutions to secure access to the cloud, workloads in the cloud, and software as a service (SaaS) user accounts, applications, and data. This course covers usage of Cisco Cloudlock, Cisco Umbrella?, Cisco Cloud Email Security, Cisco Advanced Malware Protection (AMP) for Endpoints, Cisco Stealthwatch© Cloud and Enterprise, Cisco Firepower© NGFW (next-generation firewall), and more. Introducing the Cloud and Cloud Security Describe the Evolution of Cloud Computing Explain the Cloud Service Models Explore the Security Responsibilities Within the Infrastructure as a Service (IaaS) Service Model Explore the Security Responsibilities Within the Platform as a Service (PaaS) Service Model Explore the Security Responsibilities Within the SaaS Service Model Describe Cloud Deployment Models Describe Cloud Security Basics Implementing the Cisco Security Solution for SaaS Access Control Explore Security Challenges for Customers Using SaaS Describe User and Entity Behavior Analytics, Data Loss Prevention (DLP), and Apps Firewall Describe Cloud Access Security Broker (CASB) Describe Cisco CloudLock as the CASB Describe OAuth and OAuth Attacks Deploying Cisco Cloud-Based Security Solutions for Endpoints and Content Security Describe Cisco Cloud Security Solutions for Endpoints Describe AMP for Endpoints Architecture Describe Cisco Umbrella Describe Cisco Cloud Email Security Design Comprehensive Endpoint Security Introducing Cisco Security Solutions for Cloud Protection and Visibility Describe Network Function Virtualization (NFV) Describe Cisco Secure Architectures for Enterprises (Cisco SAFE) Describe Cisco NGFWv/Cisco Firepower Management Center Virtual Describe Cisco ASAv Describe Cisco Services Router 1000V Describe Cisco Stealthwatch Cloud Describe Cisco Tetration Cloud Zero-Trust Model Describing the Network as the Sensor and Enforcer Describe Cisco Stealthwatch Enterprise Describe Cisco ISE Functions and Personas Describe Cisco TrustSec Describe Cisco Stealthwatch and Cisco ISE Integration Describe Cisco Encrypted Traffic Analytics (ETA) Implementing Cisco Security Solutions in AWS Explain AWS Security Offerings Describe AWS Elastic Compute Cloud (EC2) and Virtual Private Cloud (VPC) Discover Cisco Security Solutions in AWS Explain Cisco Stealthwatch Cloud in AWS Describing Cloud Security Management Describe Cloud Management and APIs Explain API Protection Illustrate an API Example: Integrate to ISE Using pxGrid Identify SecDevOps Best Practices Illustrate a Cisco Cloud Security Management Tool Example: Cisco Defense Orchestrator Illustrate a Cisco Cloud Security Management Tool Example: Cisco CloudCenter? Describe Cisco Application Centric Infrastructure (ACI) Describe AWS Reporting Tools Additional course details: Nexus Humans Cisco Securing Cloud Deployments with Cisco Technologies v1.0 (SECCLD) 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 Securing Cloud Deployments with Cisco Technologies v1.0 (SECCLD) 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.

Sharing & Networking - Light up a Life (or name used) appeals, switch-on events, and marketing Session aimed at those working in individual giving, in-memory, events, and marcomms roles THIS SESSION WILL NOT BE RECEORDED

Duration 5 Days 30 CPD hours This course is intended for This intermediate-level course requires students have incoming experience working with Oracle Database 18 or higher. Overview Working in a hands-on learning environment led by our expert facilitator, you'll explore: The Oracle Database Architecture Query Optimizer Tuning Container Databases and Pluggable Databases Oracle 19c Tuning features Evaluating Execution Plans Oracle Tuning Tools Using Automatic Workload Repository Join Types AWR Using Baselines Additional AWR performance tools Optimizer Statistics Monitoring a Service Bind Variables and database parameters Oracle's Real Application Testing (RAT) SQL Tuning Advisor Automatic Sql Tuning Sql Plan Management Shared Pool Tuning Tuning the database buffer cache Tuning the PGA (Program Global Area) Automatic Memory Management (AMM) Tuning Segment Space Utilization (ASSM) Automatic Storage Management Oracle 19C Database Tuning is an intermediate level course for Oracle database experienced attendees that explores core tuning skills such as Database parameters, SQL Tuning Advisor, SQL Access Advisor, Adaptive SQL plans and more. Overview Oracle Database Architecture Instance Definition Define SGA Define Background Processes Datafile Definition Query Optimizer SQL Parsing Optimizing Terms Optimizing Methods Query Plan Generation Query Plan Control Tuning Container Databases and Pluggable Databases Pluggable tuning parameters Define Container tuning structure Using PDB$SEED Create a new PDB Plug and unplug a PDB Oracle 12c Tuning features Identifying and Using Oracle's Heat Map 12c Compression Levels and Types Evaluating Execution Plans Defining SQL execution plans Automatic Workload Repository Reading execution plans Oracle Tuning Tools Monitoring tools overview Enterprise Manager Dynamic Performance Views Automatic Workload Repository Automatic Database Diagnostic Monitor Sql Tuning Advisor SQL Access Advisor Sql Access Advisor DB operation Tuning DB operation Active Reporting Using Automatic Workload Repository Defining AWR AWR Settings Creating AWR Baselines Metrics, Alerts, and Thresholds Defining Metrics Setting Alerts Setting Corrective Actions User Defined Metrics Metric Dynamic Views Join Types Nested Loops Join Sort Merge join Hash Join and Cartesian Join Equijoins and Nonequijoins Outer Joins Semijoins AWR Using Baselines Creating AWR baselines Creating AWR Repeating baselines Moving Window Baseline Additional AWR performance tools Automatic Maintenance Tasks Segment Advisor Statistics Gathering Automatic Tuning Optimizer Automatic Database Diagnostic Monitor Active Session History (ASH) Optimizer Statistics Optimizer Statistics Overview Table and Index Statistics Statistic Preferences Statistics Gathering e) Locking Statistics, Export/Import Statistics Pending and published statistics Optimizer Hints Optimizer Paths Cost Base Optimization Monitoring a Service Overview of what is an Oracle Service Creating an Oracle Service for Single instance and RAC Monitoring a Service Resource Management and a Service Enterprise Manager and a Service Bind Variables and database parameters Bind variable definition Cursor_sharing parameter Adaptive Cursor Sharing Oracle's Real Application Testing (RAT) Sql Performance Analyzer overview Sql Performance Analyzer Options Database Parameter changes Database version changes Creating SQL Tuning Sets Database Replay Overview Database Replay Configuration Database Replay Options SQL Tuning Advisor SQL Tuning Advisor: Overview SQL Tuning Advisor Limited Mode Sql Tuning Advisor Comprehensive mode Sql Tuning Profiles SQL Access Advisor SQL Access Advisor: Overview Sql Access Advisor options SQL Access Advisor and Sql Tuning Sets Sql Access Advisor and AWR Results and Implementation Automatic Sql Tuning Automatic Sql Tuning Maintenance Task Automatic Tuning Optimization implementation(ATO) Automatic Tuning Optimization Results Enable/Disable Automatic Tuning Optimization Sql Plan Management Sql plan Management and baseline overview Enable sql plan management Loading Sql Plan baselines into the SGA Adaptive plan management Shared Pool Tuning Shared pool architecture Shared pool parameters Library Cache Dictionary cache Large pool considerations and contents Tuning the database buffer cache Database buffer cache overview Database buffer cache parameters Oracle and Dirty reads and writes Automatic Shared Memory Management (ASMM) Buffer Cache goals and responsibility Buffer Cache pools Tuning the PGA (Program Global Area) PGA Overview PGA Database Parameters Temporary Segments Temporary Tablespace Sizing the PGA Automatic Memory Management (AMM) Oracle's Automatic Memory Management Overview Database Auto-tuned Parameters Database Non Auto-tuned Parameters Automatic Memory Management Hints and Sizing suggestions AMM versus ASMM Tuning Segment Space Utilization (ASSM) Overview of Automatic Segment Space Management Defining the DB_BLOCK_SIZE Defining DB_nk_CACHE_SIZE parameter The DB_BLOCK_SIZE Parameter Overview of table compression, block chaining, and block migration Automatic Storage Management Overview of ASM Definition of Grid Infrastructure ASM Instance ASM Diskgroups ASM Diskgroup parameters and templates ASMCMD

Duration 5 Days 30 CPD hours This course is intended for This intermediate and beyond level course is geared for experienced technical professionals in various roles, such as developers, data analysts, data engineers, software engineers, and machine learning engineers who want to leverage Scala and Spark to tackle complex data challenges and develop scalable, high-performance applications across diverse domains. Practical programming experience is required to participate in the hands-on labs. Overview Working in a hands-on learning environment led by our expert instructor you'll: Develop a basic understanding of Scala and Apache Spark fundamentals, enabling you to confidently create scalable and high-performance applications. Learn how to process large datasets efficiently, helping you handle complex data challenges and make data-driven decisions. Gain hands-on experience with real-time data streaming, allowing you to manage and analyze data as it flows into your applications. Acquire practical knowledge of machine learning algorithms using Spark MLlib, empowering you to create intelligent applications and uncover hidden insights. Master graph processing with GraphX, enabling you to analyze and visualize complex relationships in your data. Discover generative AI technologies using GPT with Spark and Scala, opening up new possibilities for automating content generation and enhancing data analysis. Embark on a journey to master the world of big data with our immersive course on Scala and Spark! Mastering Scala with Apache Spark for the Modern Data Enterprise is a five day hands on course designed to provide you with the essential skills and tools to tackle complex data projects using Scala programming language and Apache Spark, a high-performance data processing engine. Mastering these technologies will enable you to perform a wide range of tasks, from data wrangling and analytics to machine learning and artificial intelligence, across various industries and applications.Guided by our expert instructor, you?ll explore the fundamentals of Scala programming and Apache Spark while gaining valuable hands-on experience with Spark programming, RDDs, DataFrames, Spark SQL, and data sources. You?ll also explore Spark Streaming, performance optimization techniques, and the integration of popular external libraries, tools, and cloud platforms like AWS, Azure, and GCP. Machine learning enthusiasts will delve into Spark MLlib, covering basics of machine learning algorithms, data preparation, feature extraction, and various techniques such as regression, classification, clustering, and recommendation systems. Introduction to Scala Brief history and motivation Differences between Scala and Java Basic Scala syntax and constructs Scala's functional programming features Introduction to Apache Spark Overview and history Spark components and architecture Spark ecosystem Comparing Spark with other big data frameworks Basics of Spark Programming SparkContext and SparkSession Resilient Distributed Datasets (RDDs) Transformations and Actions Working with DataFrames Spark SQL and Data Sources Spark SQL library and its advantages Structured and semi-structured data sources Reading and writing data in various formats (CSV, JSON, Parquet, Avro, etc.) Data manipulation using SQL queries Basic RDD Operations Creating and manipulating RDDs Common transformations and actions on RDDs Working with key-value data Basic DataFrame and Dataset Operations Creating and manipulating DataFrames and Datasets Column operations and functions Filtering, sorting, and aggregating data Introduction to Spark Streaming Overview of Spark Streaming Discretized Stream (DStream) operations Windowed operations and stateful processing Performance Optimization Basics Best practices for efficient Spark code Broadcast variables and accumulators Monitoring Spark applications Integrating External Libraries and Tools, Spark Streaming Using popular external libraries, such as Hadoop and HBase Integrating with cloud platforms: AWS, Azure, GCP Connecting to data storage systems: HDFS, S3, Cassandra, etc. Introduction to Machine Learning Basics Overview of machine learning Supervised and unsupervised learning Common algorithms and use cases Introduction to Spark MLlib Overview of Spark MLlib MLlib's algorithms and utilities Data preparation and feature extraction Linear Regression and Classification Linear regression algorithm Logistic regression for classification Model evaluation and performance metrics Clustering Algorithms Overview of clustering algorithms K-means clustering Model evaluation and performance metrics Collaborative Filtering and Recommendation Systems Overview of recommendation systems Collaborative filtering techniques Implementing recommendations with Spark MLlib Introduction to Graph Processing Overview of graph processing Use cases and applications of graph processing Graph representations and operations Introduction to Spark GraphX Overview of GraphX Creating and transforming graphs Graph algorithms in GraphX Big Data Innovation! Using GPT and Generative AI Technologies with Spark and Scala Overview of generative AI technologies Integrating GPT with Spark and Scala Practical applications and use cases Bonus Topics / Time Permitting Introduction to Spark NLP Overview of Spark NLP Preprocessing text data Text classification and sentiment analysis Putting It All Together Work on a capstone project that integrates multiple aspects of the course, including data processing, machine learning, graph processing, and generative AI technologies.

Duration 3 Days 18 CPD hours This course is intended for Security analyst, threat hunters, or incident responders Security professionals who work with enterprise and endpoint security tools Overview By the end of the course, you should be able to meet the following objectives: Describe the architecture of a Carbon Black EDR implementation Perform the installation, upgrade, and configuration of the Carbon Black EDR server Describe the purpose and use of multiple datastores in the server Perform live queries across endpoints to gather additional data Perform effective searches across the dataset to find security artifacts related to the endpoints Manage Threat Intelligence Feeds and Watchlists Describe connectors in Carbon Black EDR Troubleshoot server and sensor problems Analyze data found in the Heads-Up Display Manage investigations to group and summarize security incidents and artifacts Perform the different response capabilities available to users in Carbon Black EDR Use the Carbon Black EDR API to automate tasks This three-day, hands-on training course provides you with the knowledge, skills, and tools to achieve competency in installing, configuring, and managing the VMware Carbon Black© EDR? environment. This course introduces you to product features, capabilities, and workflows for managing endpoint security. Hands-on labs enable learners to reinforce topics by performing operations and tasks within the product in a training environment. Course Introduction Introductions and course logistics Course objectives Planning and Architecture Describe the architecture and components of Carbon Black EDR Identify the communication requirements for Carbon Black EDR Server Installation, Upgrade, and Administration Install the Carbon Black EDR server Describe the options during the installation process Install a Carbon Black EDR sensor Confirm data ingestion in the Carbon Black EDR server Identify built-in administration tools Manage sensor groups Manage users and teams Server Datastores Describe the datastores used in Carbon Black EDR Interact with the available datastores Live Query Describe live query capabilities Perform queries across endpoints Searching and Best Practices Describe the capabilities and data available in the process search Perform process searches to find specific endpoint activity Describe the capabilities and data available in the binary search Perform binary searches to find application data Describe the query syntax and advanced use cases Perform advanced queries across the dataset Threat Intelligence Feeds and Watchlists Define Threat Intelligence Feeds Manage the available Threat Intelligence Feeds Describe the use of Watchlists Manage Watchlists in the environment Connectors in Carbon Black EDR Configure connectors in Carbon Black EDR Troubleshoot connectors Troubleshooting Identify the available troubleshooting scripts in the Carbon Black EDR server Run troubleshooting scripts to identify problems Generate a sensor log bundle Identify the location of sensor registry keys Head-Up Display Identify panels relating to endpoint data Analyze endpoint data provided by the panels Identify panels relating to operations data Analyze operations data provided by the panels Identify panels relating to server data Analyze server data provided by the panels Define alert generation in Carbon Black EDR Manage alerts Investigations Describe investigations Explore data used in an investigation Manage investigations Manage investigation events Responding to Endpoint Incidents Describe isolation in Carbon Black EDR Manage isolating endpoints Describe live response capabilities Manage live response sessions Describe hash banning Manage banned hashes Overview of Postman and the Carbon Black EDR API Explain the use of the API Differentiate the APIs available for Carbon Black EDR Explain the purpose of API tokens Create an API token Explain the API URL Create a valid API request Import a collection to Postman Initiate an API request from Postman Perform operations manually using Postman Analyze the use cases for Postman Show basic automation tasks using the API and curl Compare the usage of curl with Postman Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware Carbon Black EDR: Install, Configure, Manage [V7.x] 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 VMware Carbon Black EDR: Install, Configure, Manage [V7.x] 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.

Sharing & Networking - Corporate Fundraising Session aimed at corporate fundraisers. THIS SESSION WILL NOT BE RECORDED