27794 TEC courses

Duration 5 Days 30 CPD hours This course is intended for Network designers Network administrators Network engineers Systems engineers Data center engineers Consulting systems engineers Technical solutions architects Field engineers Cisco integrators and partners Server administrator Network manager Overview After taking this course, you should be able to: Implement routing and switching protocols in Data Center environment Implement overlay networks in data center Introduce high-level Cisco Application Centric Infrastructure (Cisco ACI™) concepts and Cisco Virtual Machine manager (VMM) domain integration Describe Cisco Cloud Service and deployment models Implement Fibre Channel fabric Implement Fibre Channel over Ethernet (FCoE) unified fabric Implement security features in data center Implement software management and infrastructure monitoring Implement Cisco UCS Fabric Interconnect and Server abstraction Implement SAN connectivity for Cisco Unified Computing System™ (Cisco UCS) Describe Cisco HyperFlex™ infrastructure concepts and benefits Implement Cisco automation and scripting tools in data center Evaluate automation and orchestration technologies This course helps you prepare for the CiscoÿCCNPÿData Center and CCIEÿData Center certifications. In this course, you will master the skills and technologies you need to implement data center compute, LAN and SAN infrastructure. You will also learn the essentials of automation and security in data centers. You will gain hands-on experience deploying, securing, operating, and maintaining Cisco data center. Implementing Data Center Switching Protocols* Spanning Tree Protocol Port Channels Overview Implementing First-Hop Redundancy Protocols* Hot Standby Router Protocol (HSRP) Overview Virtual Router Redundancy Protocol (VRRP) Overview Implementing Routing in Data Center* Open Shortest Path First (OSPF) v2 and Open Settlement Protocol (OSP) v3 Border Gateway Protocol Implementing Multicast in Data Center* IP Multicast in Data Center Networks Internet Group Management Protocol (IGMP) and Multicast Listener Discovery (MLD) Implementing Data Center Overlay Protocols Cisco Overlay Transport Virtualization Virtual Extensible LAN Implementing Network Infrastructure Security* User Accounts and Role Based Access Control (RBAC) Authentication, Authorization, and Accounting (AAA) and SSH on Cisco NX-OS Describing Cisco Application-Centric Infrastructure Cisco ACI Overview, Initialization, and Discovery Cisco ACI Management Describing Cisco ACI Building Blocks and VMM Domain Integration Tenant-Based Components Cisco ACI Endpoints and Endpoint Groups (EPG) Describing Packet Flow in Data Center Network* Data Center Traffic Flows Packet Flow in Cisco Nexus Switches Describing Cisco Cloud Service and Deployment Models Cloud Architectures Cloud Deployment Models Describing Data Center Network Infrastructure Management, Maintenance, and Operations* Time Synchronization Network Configuration Management Explaining Cisco Network Assurance Concepts* Need for Network Assurance Cisco Streaming Telemetry Overview Implementing Fibre Channel Fabric Fibre Channel Basics Virtual Storage Area Network (VSAN) Overview Implementing Storage Infrastructure Services Distributed Device Aliases Zoning Implementing FCoE Unified Fabric Fibre Channel over Ethernet Describing FCoE Implementing Storage Infrastructure Security* User Accounts and RBAC Authentication, Authorization, and Accounting Describing Data Center Storage Infrastructure Maintenance and Operations* Time Synchronization Software Installation and Upgrade Describing Cisco UCS Server Form Factors* Cisco UCS B-Series Blade Servers Cisco UCS C-Series Rack Servers Implementing Cisco Unified Computing Network Connectivity Cisco UCS Fabric Interconnect Cisco UCS B-Series Connectivity Implementing Cisco Unified Computing Server Abstraction Identity Abstraction Service Profile Templates Implementing Cisco Unified Computing SAN Connectivity iSCSI Overview Fibre Channel Overview Implementing Unified Computing Security User Accounts and RBAC Options for Authentication Introducing Cisco HyperFlex Systems* Hyper converged and Integrated Systems Overview Cisco HyperFlex Solution Describing Data Center Unified Computing Management, Maintenance, and Operations* Compute Configuration Management Software Updates Implementing Cisco Data Center Automation and Scripting Tools* Cisco NX-OS Additional course details: Nexus Humans Cisco Implementing and Operating Cisco Data Center Core Technologies (DCCOR) v1.2 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 Implementing and Operating Cisco Data Center Core Technologies (DCCOR) v1.2 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 introductory-level course is great for experienced technical professionals working in a wide range of industries, such as software development, data science, marketing and advertising, finance, healthcare, and more, who are looking to use the latest AI and machine learning techniques in their day to day. The hands-on labs in this course use Python, so you should have some familiarity with Python scripting basics. Overview Working in an interactive learning environment, led by our engaging OpenAI expert you'll: Understand the capabilities and products offered by OpenAI and how to access them through the OpenAI API. set up an OpenAI environment on Azure, including creating an Azure virtual machine and configuring the environment to connect to Azure resources. Gain hands-on experience building a GPT-3 based chatbot on Azure and implement advanced natural language processing capabilities. Use the OpenAI API to access GPT-3 and generate high-quality text Learn how to use Whisper to improve the quality of text generation. Understand the capabilities of DALL-E and use it to generate images for unique and engaging visuals. Geared for technical professionals, Quick Start to Azure AI Basics for Technical Users is a fun, fast paced course designed to quickly get you up to speed with OpenAI?s powerful tools and functionality, and to provide hands-on experience in setting up an OpenAI environment on Azure. Guided by our AI expert, you?ll explore the capabilities of OpenAI's GPT-3, Whisper and DALL-E, and build a chatbot on Azure. It will provide you with the knowledge and resources to continue your journey in AI and machine learning and have a good understanding of the potential of OpenAI and Azure for your projects. First, you?ll dive into the world of OpenAI, learning about its products and the capabilities they offer. You'll also discover how Azure's offerings for AI and machine learning can complement OpenAI's tools and resources, providing you with a powerful combination for your projects. And don't worry if you're new to Azure, we'll walk you through the process of setting up an account and creating a resource group. As you progress through the course, you'll get the chance to work with OpenAI's GPT-3, one of the most advanced large language models available today. You'll learn how to use the OpenAI API to access GPT-3 and discover how to use it to generate high-quality text quickly and easily. And that's not all, you'll also learn how to build a GPT-3 based chatbot on Azure, giving you the opportunity to implement advanced natural language processing capabilities in your chatbot projects. The course will also cover OpenAI Whisper, an OpenAI tool that can improve the quality of text generation, allowing you to create more coherent and natural language content. And you will learn about OpenAI DALL-E, an OpenAI tool that can generate images, giving you the ability to create unique and engaging visuals to enhance your content and projects. Introduction to OpenAI and Azure Explore OpenAI and its products, as well as Azure's offerings for AI and Machine Learning, allowing you to understand the tools and resources available to you for your AI projects. Explore OpenAI and its products Explore Azure and its offerings for AI and Machine Learning Get Hands-On: Setting up an OpenAI environment on Azure Walk through the process of setting up an OpenAI environment on Azure, giving you the hands-on experience needed to start building your own projects using OpenAI and Azure. Create an Azure virtual machine and installing the OpenAI SDK Configure the OpenAI environment and connecting to Azure resources Explore OpenAI GPT-3 Learn about GPT-3, one of OpenAI's most powerful language models, and how to use it to generate high quality text, giving you the ability to create natural language content quickly and easily. Review GPT-3 and its capabilities Use the OpenAI API to access GPT-3 Get Hands-on: Building a GPT-3 based chatbot on Azure Learn how to build a GPT-3 based chatbot on Azure, giving you the opportunity to learn how to implement advanced natural language processing capabilities in your chatbot projects. Setup an Azure Function and creating a chatbot Integrate GPT-3 with the chatbot OpenAI Whisper Explore Whisper, an OpenAI tool that can improve the quality of text generation, allowing you to create more coherent and natural language content. Explore Whisper and its capabilities Use Whisper to improve the quality of text generation OpenAI DALL-E Explore DALL-E, an OpenAI tool that can generate images, giving you the ability to create unique and engaging visuals to enhance your content and projects. Explore DALL-E and its capabilities Use the OpenAI API to access DALL-E What?s Next: Keep Going! Other ways OpenAI can impact your day to day Explore great places to check for expanded tools and add-ons for Azure OpenAI Where to go for help and support Quick Look at Generative AI and its Business Implications Understanding Generative AI Generative AI in Business Ethical considerations of Generative AI

Duration 3 Days 18 CPD hours This course is intended for This course is designed for existing Python programmers who have at least one year of Python experience and who want to expand their programming proficiency in Python 3. Overview In this course, you will expand your Python proficiencies. You will: Select an object-oriented programming approach for Python applications. Create object-oriented Python applications. Create a desktop application. Create a data-driven application. Create and secure web service-connected applications. Program Python for data science. Implement unit testing and exception handling. Package an application for distribution.   Python continues to be a popular programming language, perhaps owing to its easy learning curve, small code footprint, and versatility for business, web, and scientific uses. Python is useful for developing custom software tools, applications, web services, and cloud applications. In this course, you'll build upon your basic Python skills, learning more advanced topics such as object-oriented programming patterns, development of graphical user interfaces, data management, creating web service-connected apps, performing data science tasks, unit testing, and creating and installing packages and executable applications. Selecting an Object-Oriented Programming Approach for Python Applications Topic A: Implement Object-Oriented Design Topic B: Leverage the Benefits of Object-Oriented Programming Creating Object-Oriented Python Applications Topic A: Create a Class Topic B: Use Built-in Methods Topic C: Implement the Factory Design Pattern Creating a Desktop Application Topic A: Design a Graphical User Interface (GUI) Topic B: Create Interactive Applications Creating Data-Driven Applications Topic A: Connect to Data Topic B: Store, Update, and Delete Data in a Database Creating and Securing a Web Service-Connected App Topic A: Select a Network Application Protocol Topic B: Create a RESTful Web Service Topic C: Create a Web Service Client Topic D: Secure Connected Applications Programming Python for Data Science Topic A: Clean Data with Python Topic B: Visualize Data with Python Topic C: Perform Linear Regression with Machine Learning Implementing Unit Testing and Exception Handling Topic A: Handle Exceptions Topic B: Write a Unit Test Topic C: Execute a Unit Test Packaging an Application for Distribution Topic A: Create and Install a Package Topic B: Generate Alternative Distribution Files Additional course details: Nexus Humans Advanced Programming Techniques with Python training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Advanced Programming Techniques with Python 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 This introductory-level course is intended for Business Analysts and Data Analysts (or anyone else in the data science realm) who are already comfortable working with numerical data in Excel or other spreadsheet environments. No prior programming experience is required, and a browser is the only tool necessary for the course. Overview This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Throughout the hands-on course students, will learn to leverage Python scripting for data science (to a basic level) using the most current and efficient skills and techniques. Working in a hands-on learning environment, guided by our expert team, attendees will learn about and explore (to a basic level): How to work with Python interactively in web notebooks The essentials of Python scripting Key concepts necessary to enter the world of Data Science via Python This course introduces data analysts and business analysts (as well as anyone interested in Data Science) to the Python programming language, as it?s often used in Data Science in web notebooks. This goal of this course is to provide students with a baseline understanding of core concepts that can serve as a platform of knowledge to follow up with more in-depth training and real-world practice. An Overview of Python Why Python? Python in the Shell Python in Web Notebooks (iPython, Jupyter, Zeppelin) Demo: Python, Notebooks, and Data Science Getting Started Using variables Builtin functions Strings Numbers Converting among types Writing to the screen Command line parameters Flow Control About flow control White space Conditional expressions Relational and Boolean operators While loops Alternate loop exits Sequences, Arrays, Dictionaries and Sets About sequences Lists and list methods Tuples Indexing and slicing Iterating through a sequence Sequence functions, keywords, and operators List comprehensions Generator Expressions Nested sequences Working with Dictionaries Working with Sets Working with files File overview Opening a text file Reading a text file Writing to a text file Reading and writing raw (binary) data Functions Defining functions Parameters Global and local scope Nested functions Returning values Essential Demos Sorting Exceptions Importing Modules Classes Regular Expressions The standard library Math functions The string module Dates and times Working with dates and times Translating timestamps Parsing dates from text Formatting dates Calendar data Python and Data Science Data Science Essentials Pandas Overview NumPy Overview SciKit Overview MatPlotLib Overview Working with Python in Data Science Additional course details: Nexus Humans Python for Data Science: Hands-on Technical Overview (TTPS4873) 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 Python for Data Science: Hands-on Technical Overview (TTPS4873) 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: Configure, troubleshoot, and manage enterprise wired and wireless networks Implement security principles within an enterprise network Overview Upon completing this course, students will be able to meet these objectives: Illustrate the hierarchical network design model and architecture using the access, distribution, and core layers. Compare and contrast the various hardware and software switching mechanisms and operation, while defining the TCAM and CAM, along with process switching, fast switching, and Cisco Express Forwarding concepts. Troubleshoot layer 2 connectivity using VLANs, trunking. Implementation of redundant switched networks using spanning tree protocol. Troubleshooting link aggregation using Etherchannel. Describe the features, metrics, and path selection concepts of EIGRP. Implementation and optimization of OSPFv2 and OSPFv3, including adjacencies, packet types, and areas, summarization and route filtering for IPv4 and IPv6. Implementing EBGP interdomain routing, path selection and single and dual-homed networking. Implementing network redundacy using protocols like HSRP and VRRP. Implementing internet connectivity within Enterprise using static and dynamic NAT. Describe the virtualization technology of servers, switches, and the various network devices and components. Implementing overlay technologies like VRF, GRE, VPN and LISP. Describe the components and concepts of wireless networking including RF, antenna characteristics, and define the specific wireless standards. Describe the various wireless deployment models available, include autonomous AP deployments and cloud-based designs within the centralized Cisco WLC architecture. Describe wireless roaming and location services. Describe how APs communicate with WLCs to obtain software, configurations, and centralized management. Configure and verify EAP, WebAuth, and PSK wireless client authentication on a WLC. Troubleshoot wireless client connectivity issues using various tools available. Troubleshooting Enterprise networks using services like NTP, SNMP , Cisco IOS IP SLAs, NetFlow and Cisco IOS Embedded Event Manager. Explain the use of available network analysis and troubleshooting tools, which include show and debug commands, as well as best practices in troubleshooting The Implementing and Operating Cisco Enterprise Network Core Technologies (ENCOR) v1.2 course provides the knowledge and skills needed to configure, troubleshoot, and manage enterprise wired and wireless networks. You?ll learn to implement security principles within an enterprise network and how to overlay network design by using solutions such as SD-Access and SD-WAN Course Outline Examining Cisco Enterprise Network Architecture Understanding Cisco Switching Paths Implementing Campus Lan Connectivity Building Redundant Switched Topology Implementing Layer 2 Port Aggregation Understanding EIGRP Implementing OSPF Optimizing OSPF Exploring EBGP Implementing Network Redundancy Implementing NAT Introducing Virtualization Protocols And Techniques Understanding Virtual Private Networks And Interfaces Understanding Wireless Principles Examining Wireless Deployment Options Understanding Wireless Roaming And Location Services Examining Wireless AP Operation Understanding Wireless Client Authentication Troubleshooting Wireless Client Connectivity Introducing Multicast Protocols Introducing QoS Implementing Network Services Using Network Analysis Tools Implementing Infrastructure Security Implementing Secure Access Control Understanding Enterprise Network Security Architecture Exploring Automation and Assurance Using Cisco DNA Center Examining the Cisco SD-Access Solution Understanding the Working Principles of the Cisco SD-WAN Solution Understanding the Basics of Python Programming Introducing Network Programmability Protocols Introducing APIs in Cisco DNA Center and vManage

Duration 2 Days 12 CPD hours This course is intended for This introductory-level course is intended for Business Analysts and Data Analysts (or anyone else in the data science realm) who are already comfortable working with numerical data in Excel or other spreadsheet environments. No prior programming experience is required, and a browser is the only tool necessary for the course. Overview This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Throughout the hands-on course students, will learn to leverage Python scripting for data science (to a basic level) using the most current and efficient skills and techniques. Working in a hands-on learning environment, guided by our expert team, attendees will learn about and explore (to a basic level): How to work with Python interactively in web notebooks The essentials of Python scripting Key concepts necessary to enter the world of Data Science via Python This course introduces data analysts and business analysts (as well as anyone interested in Data Science) to the Python programming language, as it?s often used in Data Science in web notebooks. This goal of this course is to provide students with a baseline understanding of core concepts that can serve as a platform of knowledge to follow up with more in-depth training and real-world practice. This course introduces data analysts and business analysts (as well as anyone interested in Data Science) to the Python programming language, as it's often used in Data Science in web notebooks. This goal of this course is to provide students with a baseline understanding of core concepts that can serve as a platform of knowledge to follow up with more in-depth training and real-world practice. Additional course details: Nexus Humans Python for Data Science Primer: Hands-on Technical Overview (TTPS4872) 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 Python for Data Science Primer: Hands-on Technical Overview (TTPS4872) 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 Students preparing to take the CCNP Collaboration certification Network administrators Network engineers Systems engineers Overview After taking this course, you should be able to: Describe the Cisco Collaboration solutions architecture Compare the IP Phone signaling protocols of Session Initiation Protocol (SIP), H323, Media Gateway Control Protocol (MGCP), and Skinny Client Control Protocol (SCCP) Integrate and troubleshoot Cisco Unified Communications Manager with LDAP for user synchronization and user authentication Implement Cisco Unified Communications Manager provisioning features Describe the different codecs and how they are used to transform analogue voice into digital streams Describe a dial plan, and explain call routing in Cisco Unified Communications Manager Implement Public Switched Telephone Network (PSTN) access using MGCP gateways Implement a Cisco gateway for PSTN access Configure calling privileges in Cisco Unified Communications Manager Implement toll fraud prevention Implement globalized call routing within a Cisco Unified Communications Manager cluster Implement and troubleshoot media resources in Cisco Unified Communications Manager Describe Cisco Instant Messaging and Presence, including call flows and protocols Describe and configure endpoints and commonly required features Configure and troubleshoot Cisco Unity Connection integration Configure and troubleshoot Cisco Unity Connection call handlers Describe how Mobile Remote Access (MRA) is used to allow endpoints to work from outside the company Analyze traffic patterns and quality issues in converged IP networks supporting voice, video, and data traffic Define QoS and its models Implement classification and marking Configure classification and marking options on Cisco Catalyst switches The Implementing and Operating Cisco Collaboration Core Technologies (CLCOR) v1.1 course helps you prepare for advanced-level roles focused on implementation and operation of Cisco collaboration solutions. You will gain the knowledge and skills needed to implement and deploy core collaboration and networking technologies, including infrastructure and design, protocols, codecs, and endpoints, Cisco Internetwork Operating System (IOS©) XE gateway and media resources, call control, Quality of Service (QoS), and additional Cisco collaboration applications.This course helps prepare you to take the exam:350-801 Implementing and Operating Cisco Collaboration Core Technologies (CLCOR)After you pass this exam, you earn Cisco Certified Specialist - Collaboration Core certification and satisfy the core requirement for these certifications:CCNP CollaborationCCIE CollaborationThis course prepares you for the 300-435 Automating Cisco Enterprise Solutions (ENAUTO) certification exam. Introducing Automation for Cisco Solutions (CSAU) is required prior to enrolling in Implementing Automation for Cisco Enterprise Solutions (ENAUI) because it provides crucial foundational knowledge essential to success. Course Outlines Describing the Cisco Collaboration Solutions Architecture Exploring Call Signaling over IP Networks Integrating Cisco Unified Communications Manager LDAP Implementing Cisco Unified Communications Manager Provisioning Features Exploring Codecs Describing Dial Plans and Endpoint Addressing Implementing MGCP Gateways Implementing Voice Gateways Configuring Calling Privileges in Cisco Unified Communications Manager Implementing Toll Fraud Prevention Implementing Globalized Call Routing Implementing and Troubleshooting Media Resources in Cisco Unified Communications Manager Describing Cisco Instant Messaging and Presence Enabling Cisco Jabber© Configuring Cisco Unity Connection Integration Configuring Cisco Unity Connection Call Handlers Describing Collaboration Edge Architecture Analyzing Quality Issues in Converged Networks Defining QoS and QoS Models Implementing Classification and Marking Configuring Classification and Marking on Cisco Catalyst Switches

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.

Duration 1 Days 6 CPD hours This course is intended for This basic course is designed for system administrators, system architects, application developers, quality assurance specialists, and technical sales and marketing professionals. Overview After completing this course, you should be able to: Summarize current business drivers and the need for flexibility Describe enterprise messaging and the capabilities it must provide Identify the main ways that IBM© MQ can impact application design Describe the basic components of IBM© MQ Differentiate between point-to-point and IBM© MQ cluster connectivity Summarize queue manager and queue manager components administrative tasks Contrast the architectural role of IBM© MQ clusters and multiple instance queue managers Describe the security provisions of IBM© MQ and IBM© MQ Advanced Message Security Describe how IBM© MQ is used as part of the communications infrastructure to: Connect application environments, such as the World Wide Web, enterprise transaction systems, and database systems Manage the distribution of publisher information to appropriate subscribers Provide file transfer management with IBM© MQ Managed File Transfer Serve as a JMS provider Interface with WebSphere Application Server Store in-flight messages for IBM© Integration Bus Interact with z/OS applications Facilitate connectivity to mobile environments with IBM© MQ Telemetry Describe the options for deployment to the Cloud In this course, you learn about IBM© MQ V9 basic components and the path that messages follow when they are exchanged between applications. You also learn how IBM© MQ administrative responsibilities can include the management of topic-based publish/subscribe messaging, managed file transfer, and deployments to the cloud. Topics include an overview of the support that IBM© MQ provides for security, publish/subscribe, high availability, administration, logging, auditing, managed file transfer, MQTT, and cloud options. Course introductionIBM© MQ overviewIBM© MQ basicsMessaging styles, topologies, and architecture overviewSystem administration overviewSecurity overviewIntroduction to IBM© MQ Managed File TransferIntroduction to IBM© MQ Telemetry and IBM© MessageSightIntroduction to the IBM© MQ ApplianceExpanding the scope of IBM© MQCourse summary

Duration 2 Days 12 CPD hours This course is intended for Data Protection Officers IT Managers and Administrators Records Managers System Developers IT Security specialist Anyone who builds and develops IT systems Overview Critical data protection concepts and practices that impact IT Consumer data protection expectations and responsibility How to bake privacy into early stages of IT products and services for cost control, accuracy and speed-to-market How to establish data protection practices for data collection and transfer How to preempt data protection issues in the Internet of Things How to factor data protection into data classification and emerging tech such as cloud computing, facial recognition and surveillance How to communicate data protection issues with partners such as management, development, marketing and legal The Principles of Privacy in Technology training is the how to course on privacy and data protection practices in the development, engineering, deployment and auditing of IT products and services. Those taking the course will develop an understanding of privacy-related issues and practices in the context of the design and implementation of information and communication technologies and systems. The training is based on the body of knowledge for the IAPP?s ANSI accredited Certified Information Privacy Technologist (CIPT) certification program. Fundamentals of information privacy Reviewing the modern history of privacy Foundational privacy concepts Data protection roles and fair information practices Exploring the impacts of privacy and data protection regulations on information management Privacy in the IT environment Compliance requirements IT risks Stakeholder privacy expectations Differentiating between privacy and security Core privacy concepts Foundational elements for embedding privacy in IT Common privacy principles Data protection by design and default Privacy considerations in the information life cycle Privacy considerations throughout the stages of the information life cycle Privacy in systems and applications Examining the risks inherent in the IT environment and options for addressing them Identity and access management Credit card information and processing Remote access BYOD and telecommuting Data encryption Additional privacy-enhancing technologies in the enterprise environment Privacy techniques Strengths and weaknesses of authentication techniques Using identifiers Privacy by design Online privacy issues Unique challenges that come from online privacy issues Laws and regulations Online threats Social media E-commerce Tracking technologies Web security protocols Technologies with privacy considerations Privacy considerations associated with a variety of technologies Cloud computing Wireless IDs Location-based services ?Smart? technologies Video/data/audio surveillance Biometric recognition