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Duration 3 Days 18 CPD hours This course is intended for Channel and Customer Engineers Network Engineer System Engineer Wireless Engineer Consulting Systems Engineer Technical Solutions Architect Network Admisnistrator Wireless Design Engineer Network Manager Channel SEs Sales Engineer Channel AMs Account Manager Overview Upon completing this course, students will be able to meet these objectives: Understand the overall architecture of the Cisco security solutions and how APIs help enable security Understand how to use Cisco Firepower APIs Understand how pxGrid APIs function and their benefits Understand what capabilities the Cisco Stealthwatch APIs offer and construct API requests to them for configuration changes and auditing purposes Understand the features and benefits of using Cisco Stealthwatch Cloud APIs Learn how to use the Cisco Umbrella Investigate API Understand the Functionality provided by Cisco AMP and its APIs Learn how to use Cisco Threat Grid APIs to analyze, search, and dispose of threats This course demonstrates the tools and the benefits of leveraging programmability and automation in Cisco Security Solutions, including Cisco Firepower Management Center, Cisco Firepower Threat Defense, Cisco ISE, Cisco pxGrid, Cisco Stealthwatch Enterprise, Cisco Stealthwatch Cloud, Cisco Umbrella, Cisco AMP, Cisco Threat grid, and Cisco Security Management Appliances. Students will learn how to use the API for each Cisco security solution and specific applications of when the API benefits IT security content. Introducing Cisco Security APIs Role of APIs in Cisco Security Solutions Cisco Firepower, Cisco ISE, Cisco pxGrid, and Cisco Stealthwatch APIs Use cases and security workflow Consuming Cisco Advanced Malware Protection APIs Cisco AMP overview Cisco AMP endpoint API Cisco AMP use cases and workflows Discovery 1: Query Cisco AMP endpoint APIs for verifying compliance Using Cisco ISE Introducing Cisco Identity services engine Cisco ISE use cases Cisco ISE APIs Using Cisco pxGrid APIs Cisco pxGrid overview WebSockets and STOMP messaging protocol Discovery 2: Use the REST API and Cisco pxGrid with Cisco Identity services engine Using Cisco Threat Grid APIs Cisco threat grid overview Cisco threat grid API Cisco threat grid use cases and workflows Discovery 3: Construct a Python script using the Cisco threat grid API Investigating Cisco Umbrella Security Data Programmatically Cisco Umbrella investigate API overview Cisco Umbrella investigate API: Details Discovery 4: Query security data with the Cisco Umbrella investigate API Exploring Cisco Umbrella Reporting and Enforcement APIs Cisco Umbrella reporting and enforcement APIs: Overview Cisco Umbrella reporting and enforcement APIs: Deep dive Discovery 5: Generate reports using the Cisco Umbrella reporting API Automating Security with Cisco Firepower APIs Review basic constructs of Firewall policy management Design policies for automation Cisco FMC APIs in depth Discovery 6: Explore the Cisco Firepower management center API Cisco FTD automation with ansible Discovery 7: Use ansible to automate Cisco Firepower threat defense configuration Cisco FDM API in depth Discovery 8: Automate Firewall policies using the Cisco Firepower device manager API Operationalizing Cisco Stealthwatch and Its API Capabilities Cisco Stealthwatch overview Cisco Stealthwatch APIs: Details Discovery 9: Automate alarm policies and create reports using the Cisco Stealthwatch APIs Using Cisco Stealthwatch Cloud APIs Cisco Stealthwatch Cloud overview Cisco Stealthwatch Cloud APIs: Deep dive Discovery 10: Construct a report using Cisco stealthwatch Cloud APIs Describing Cisco Security Management Appliance APIs Cisco SMA APIs overview Cisco SMA API Discovery 11: Construct reports using Cisco SMA APIs

Duration 3 Days 18 CPD hours This course is intended for Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform Overview This course teaches students the following skills: Derive insights from data using the analysis and visualization tools on Google Cloud Platform Interactively query datasets using Google BigQuery Load, clean, and transform data at scale Visualize data using Google Data Studio and other third-party platforms Distinguish between exploratory and explanatory analytics and when to use each approach Explore new datasets and uncover hidden insights quickly and effectively Optimizing data models and queries for price and performance Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course! This four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization. This specialization is intended for the following participants: Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform To get the most out of this specialization, we recommend participants have some proficiency with ANSI SQL. Introduction to Data on the Google Cloud Platform Highlight Analytics Challenges Faced by Data Analysts Compare Big Data On-Premises vs on the Cloud Learn from Real-World Use Cases of Companies Transformed through Analytics on the Cloud Navigate Google Cloud Platform Project Basics Lab: Getting started with Google Cloud Platform Big Data Tools Overview Walkthrough Data Analyst Tasks, Challenges, and Introduce Google Cloud Platform Data Tools Demo: Analyze 10 Billion Records with Google BigQuery Explore 9 Fundamental Google BigQuery Features Compare GCP Tools for Analysts, Data Scientists, and Data Engineers Lab: Exploring Datasets with Google BigQuery Exploring your Data with SQL Compare Common Data Exploration Techniques Learn How to Code High Quality Standard SQL Explore Google BigQuery Public Datasets Visualization Preview: Google Data Studio Lab: Troubleshoot Common SQL Errors Google BigQuery Pricing Walkthrough of a BigQuery Job Calculate BigQuery Pricing: Storage, Querying, and Streaming Costs Optimize Queries for Cost Lab: Calculate Google BigQuery Pricing Cleaning and Transforming your Data Examine the 5 Principles of Dataset Integrity Characterize Dataset Shape and Skew Clean and Transform Data using SQL Clean and Transform Data using a new UI: Introducing Cloud Dataprep Lab: Explore and Shape Data with Cloud Dataprep Storing and Exporting Data Compare Permanent vs Temporary Tables Save and Export Query Results Performance Preview: Query Cache Lab: Creating new Permanent Tables Ingesting New Datasets into Google BigQuery Query from External Data Sources Avoid Data Ingesting Pitfalls Ingest New Data into Permanent Tables Discuss Streaming Inserts Lab: Ingesting and Querying New Datasets Data Visualization Overview of Data Visualization Principles Exploratory vs Explanatory Analysis Approaches Demo: Google Data Studio UI Connect Google Data Studio to Google BigQuery Lab: Exploring a Dataset in Google Data Studio Joining and Merging Datasets Merge Historical Data Tables with UNION Introduce Table Wildcards for Easy Merges Review Data Schemas: Linking Data Across Multiple Tables Walkthrough JOIN Examples and Pitfalls Lab: Join and Union Data from Multiple Tables Advanced Functions and Clauses Review SQL Case Statements Introduce Analytical Window Functions Safeguard Data with One-Way Field Encryption Discuss Effective Sub-query and CTE design Compare SQL and Javascript UDFs Lab: Deriving Insights with Advanced SQL Functions Schema Design and Nested Data Structures Compare Google BigQuery vs Traditional RDBMS Data Architecture Normalization vs Denormalization: Performance Tradeoffs Schema Review: The Good, The Bad, and The Ugly Arrays and Nested Data in Google BigQuery Lab: Querying Nested and Repeated Data More Visualization with Google Data Studio Create Case Statements and Calculated Fields Avoid Performance Pitfalls with Cache considerations Share Dashboards and Discuss Data Access considerations Optimizing for Performance Avoid Google BigQuery Performance Pitfalls Prevent Hotspots in your Data Diagnose Performance Issues with the Query Explanation map Lab: Optimizing and Troubleshooting Query Performance Advanced Insights Introducing Cloud Datalab Cloud Datalab Notebooks and Cells Benefits of Cloud Datalab Data Access Compare IAM and BigQuery Dataset Roles Avoid Access Pitfalls Review Members, Roles, Organizations, Account Administration, and Service Accounts

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 advanced course is for Infrastructure Specialist, Senior Technical Specialist,Technical Specialist, Support Engineers, and System Architects. Overview Understand the MDM Architecture and how the Physical, Virtual and Hybrid MDM handles a service request Understand the core Workbench features available for the InfoSphere MDM Understand how MDM using OSGi for deploying customizations to the product Create a new Physical MDM Entity using the Workbench Wizard Extend an existing Physical MDM Entity using the Workbench Wizard Extend an existing Physical MDM Service using the Workbench Wizard Create a new Composite Service using a transiant object containing other existing business objects Customize and deploy a Virtual configuration Create a new Virtual Callout Handler Create a new Virtual Composite View Generate new Services based on the Virtual configuration (eSOA) Customize a Hybrid MDM implementation Understand the Adaptive Service Interface (ASI) This course is designed for anyone who wants to get an understanding of how to use and customize the InfoSphere Master Data Management using the InfoSphere MDM Workbench InfoSphere MDM Architecture . OSGi and MDM . Data Additions . Physical Data Extensions . MDM Physical Behavior Extensions . Composite Services . Adaptive Services Interface (ASI) . Virtual Data Model . Virtual Handlers . eSOA Toolkit . Hybrid MDM .

Duration 2 Days 12 CPD hours This course is intended for Network Video Engineer Voice/UC/Collaboration/Communications Engineer Collaboration Tools Engineer Collaboration Sales/Systems Engineer Overview Install, Configure, and Implement Cisco Emergency Responder (Cisco ER). Configure CUCM for CER Configure Emergency Response Locations (ERLs) Configure Emergency Location Identification Numbers (ELINs) Configure PSAP calls and PSAP CallBack Configure Users and onsite Security Management This is a 2-day hands-on course, where students will Install, Deploy, and Configure Cisco Emergency Responder (Cisco ER) 12.5. Student will also integrate emergency communication system with Cisco Unified Communications Manager. Students will learn how Cisco ER automatically notifies and routes calls to the local public safety answering point (PSAP) operator. Students will configure emergency response locations (ERLs) and emergency location identification numbers (ELINs) in CER to properly route enhanced 911 (E911) calls. You will also examine CER disaster recovery and user management. Cisco Emergency Responder Overview PSAP/ Emergency Calling Overview National Emergency Number Association Legislation and Regulation Service Provider ALI Automatic Number Identification (ANI) Automatic Location Identification (ALI) NENA Emergency Response Location NENA Guidelines for ERLs NENA Emergency Location Identification Number (ELIN) E911 Preparation Cisco Emergency Call Handler Cisco Emergency Responder 11.x Enhancements License Management Emergency Responder Redundancy Clustering CER over the WAN Integration with UC Manager Intrado Architecture CER Wireless Features Overview Installing Cisco Emergency Responder Supported Hardware Platforms CER Virtual Server Requirements Deploy Cisco CER OVF/OVA Installation of CER CER CLI Interface Reset Application Administrator Password Add 2nd CER Server - Subscriber Upgrade VMware Tools on Cisco Emergency Responder Server CER Backup and Restore CER PLM Licensing Unified Communication Manager CER Configuration Cisco Unified Communications Manager Administrator Interfaces Cisco Unified Communications Manager Required Services for CER CUCM SNMP Settings Phone Partition and Calling Search Spaces Partitions for 911 Services CER CUCM Configuration for CTI Route Points and CTI Ports Configure CER Route Patterns for 911 and Security Personal Create Translation Patterns for ELINs Create Emergency Responder Cisco Unified Communications Manager User Location Awareness Overview Configure Wireless Endpoint Tracking Feature on UCM 11.5 Cisco Emergency Responder (CER) Configuration Emergency Responder Interface E.164 Dial Plan Support Cisco Emergency Responder Groups Setup CER Groups CER Telephony Settings for CER Cisco CER License Manager Cisco CER Email Settings Cisco CER - Add Subscriber Onsite Security Alerts for Security Personnel Pager Alert Configuration Configure Emergency Response Location (ERL) Configure Emergency Location Identification Number (ELIN) ERL Migration Tool Configure SNMP Configure Phone Tracking Configure LAN Switch Tracking Configuring IP Subnet-based ERLs Configuring Manual Phone Tracking Emergency Responder User Management Manage Onsite Alerts, ERLs, and ALI Data User and Security Logins CER - Web Alerts CER - ERL Audit Trail Export PS-ALI Records ERL Debug Tool

Duration 1 Days 6 CPD hours This course is intended for This course is intended for those responsible for ITAD programs and other IT professionals involved in Asset Management, resource budgeting, finance, software licensing, contract management and strategic planning. Overview Students will learn the best practices in an IT Asset Management Program and align those processes with their organizations' business practices. They will be able to manage overall ITAM programs and demonstrate in-depth knowledge, operational knowledge and competence in asset disposal and process development. The IAITAM Certified IT Asset Disposition (CITAD) course prepares individuals to manage the IT asset disposal process within an organization. Best practices in IT Asset Disposition (ITAD) are broken down from policy management, data security to chain of custody transitioning. Attendees whose job responsibilities include ITAD will take away the knowledge of how to avoid risk of data loss and public exposure that surround a breakdown in ITAD process management. ITAD best practices, financial return, data security global implications and the importance of vendor management are just a few of the topics incorporated in the CITAD course. This course exposes the attendee to numerous concepts for ITAM that are relevant for both direct application and as a means of discussion for those persons who will implement, manage and direct ITAM initiatives for their organizations. This course includes the exam for CITAD certification. Course Outline Disposition Overview Disposition and ITAM Organizational Goals for Disposition ITAM Goals for Disposition Governance of Electronic Disposal Composition of E-Scrap Waste Management Laws Foundation for Disposal Management Policy Topics Relevant to Disposition Asset Standards Benefit Disposal The Role of Automation Data Security Governance Working with Vendors Selecting Vendors Due Diligence The Removal Process Software During Disposition Decision Factors for Retirement The Disposition Processes Financial Management & Measurement Additional course details: Nexus Humans Certified IT Asset Disposal (CITAD) 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 Certified IT Asset Disposal (CITAD) 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 0.5 Days 3 CPD hours This course is intended for Individuals and organizations seeking a foundational understanding of DevOps Overview Please refer to Overview This course brings a high-level understanding of DevOps, the cultural and professional movement that stresses communication, collaboration, integration, and automation to improve the flow of work between software developers and IT operations professionals. Course introductionWhat is DevOps? Why Now?Emerging DevOps PracticesCultureAutomationLeanMeasurement and MetricsSharingGetting Started: Implementing DevOpsNext Steps

Duration 1 Days 6 CPD hours This course is intended for This course provides an introductory overview of the CMMC program for organizational decision makers. Business and IT leaders and IT staff might consider taking this course to learn about the CMMC Model to get a sense of what's required for a successful assessment, and the various ways they can start preparing. Overview In this course, you will identify the key elements and potential impacts of the Cybersecurity Maturity Model Certification (CMMC) program. You will: Identify the crucial elements that are driving the CMMC initiative. Describe the architecture of the CMMC Model and the rationale behind it. Prepare your organization for a successful CMMC Assessment. Identify the roles and responsibilities in the CMMC ecosystem and describe the phases of an Assessment. The Cybersecurity Maturity Model Certification (CMMC), managed by The Cyber AB (formerly known as the CMMC Accreditation Body or the CMMC-AB), is a program through which an organization's cybersecurity program maturity is measured by their initial and ongoing compliance with applicable cybersecurity practices. This course provides a complete review of the key elements of this important program and will entitle you to a CMMC Trailblazer badge.Important: This curriculum product is not considered CMMC-AB Approved Training Material (CATM). This course is not intended as certification preparation and does not qualify students to sit for the CMMC CP certification exam. Identifying What's at Stake Topic A: Identify the Threats and Regulatory Responses Topic B: Identify Sensitive Information Describing CMMC Topic A: Describe the CMMC Model Architecture Topic B: Describe the CMMC Program Getting Ready for a CMMC Assessment Topic A: Scope Your Environment Topic B: Analyze the CMMC Assessment Guides Topic C: Foster a Mature Cybersecurity Culture Topic D: Identify Helpful Documents Topic E: Evaluate Your Readiness Interacting with the CMMC Ecosystem Topic A: Identify the CMMC Ecosystem Topic B: Describe a CMMC Assessment

About UX Academy: UX Academy provides live online hands-on training to help you take the next step in your career no matter what level you’re at. Offering Beginner, Intermediate UX courses, Product Design, Strategy and Voice Design developed in collaboration with Amazon.

Artificial Intelligence brings exciting new opportunities to the field of Conversational User Interfaces (CUI). Learn key concepts and proven design methods to deliver cutting-edge experiences and reach better business outcomes. Silvia Podesta is a Designer in the Client Engineering Team at IBM Nordics. She leverages design thinking, service and UX design to help clients identify opportunities for innovation and pioneer transformational experiences through IBM technology.