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Duration 5 Days 30 CPD hours This course is intended for This course is designed for persons aspiring to the Microsoft 365 Administrator role and have completed at least one of the Microsoft 365 role-based administrator certification paths. This course covers the following key elements of Microsoft 365 administration: Microsoft 365 tenant management, Microsoft 365 identity synchronization, and Microsoft 365 security and compliance. In Microsoft 365 tenant management, you learn how to configure your Microsoft 365 tenant, including your organizational profile, tenant subscription options, component services, user accounts and licenses, security groups, and administrative roles. You then transition to configuring Microsoft 365, with a primary focus on configuring Office client connectivity. Finally, you explore how to manage user-driven client installations of Microsoft 365 Apps for enterprise deployments. The course then transitions to an in-depth examination of Microsoft 365 identity synchronization, with a focus on Microsoft Entra Connect and Connect Cloud Sync. You learn how to plan for and implement each of these directory synchronization options, how to manage synchronized identities, and how to implement password management in Microsoft 365 using multifactor authentication and self-service password management. In Microsoft 365 security management, you begin examining the common types of threat vectors and data breaches facing organizations today. You then learn how Microsoft 365?s security solutions address each of these threats. You are introduced to the Microsoft Secure Score, as well as to Microsoft Entra ID Protection. You then learn how to manage the Microsoft 365 security services, including Exchange Online Protection, Safe Attachments, and Safe Links. Finally, you are introduced to the various reports that monitor an organization?s security health. You then transition from security services to threat intelligence; specifically, using Microsoft 365 Defender, Microsoft Defender for Cloud Apps, and Microsoft Defender for Endpoint. Once you have this understanding of Microsoft 365?s security suite, you then examine the key components of Microsoft 365 compliance management. This begins with an overview of all key aspects of data governance, including data archiving and retention, Microsoft Purview message encryption, and data loss prevention (DLP). You then delve deeper into archiving and retention, paying particular attention to Microsoft Purview insider risk management, information barriers, and DLP policies. You then examine how to implement these compliance features by using data classification and sensitivity labels. Prerequisites Completed a role-based administrator course such as Messaging, Teamwork, Security, Compliance, or Collaboration. A proficient understanding of DNS and basic functional experience with Microsoft 365 services. A proficient understanding of general IT practices. A working knowledge of PowerShell. 1 - Configure your Microsoft 365 experience Explore your Microsoft 365 cloud environment Configure your Microsoft 365 organizational profile Manage your tenant subscriptions in Microsoft 365 Integrate Microsoft 365 with customer engagement apps Complete your tenant configuration in Microsoft 365 2 - Manage users, licenses, and mail contacts in Microsoft 365 Determine the user identity model for your organization Create user accounts in Microsoft 365 Manage user account settings in Microsoft 365 Manage user licenses in Microsoft 365 Recover deleted user accounts in Microsoft 365 Perform bulk user maintenance in Microsoft Entra ID Create and manage guest users Create and manage mail contacts 3 - Manage groups in Microsoft 365 Examine groups in Microsoft 365 Create and manage groups in Microsoft 365 Create dynamic groups using Azure rule builder Create a Microsoft 365 group naming policy Create groups in Exchange Online and SharePoint Online 4 - Add a custom domain in Microsoft 365 Plan a custom domain for your Microsoft 365 deployment Plan the DNS zones for a custom domain Plan the DNS record requirements for a custom domain Create a custom domain in Microsoft 365 5 - Configure client connectivity to Microsoft 365 Examine how automatic client configuration works Explore the DNS records required for client configuration Configure Outlook clients Troubleshoot client connectivity 6 - Configure administrative roles in Microsoft 365 Explore the Microsoft 365 permission model Explore the Microsoft 365 admin roles Assign admin roles to users in Microsoft 365 Delegate admin roles to partners Manage permissions using administrative units in Microsoft Entra ID Elevate privileges using Microsoft Entra Privileged Identity Management Examine best practices when configuring administrative roles 7 - Manage tenant health and services in Microsoft 365 Monitor the health of your Microsoft 365 services Monitor tenant health using Microsoft 365 Adoption Score Monitor tenant health using Microsoft 365 usage analytics Develop an incident response plan Request assistance from Microsoft 8 - Deploy Microsoft 365 Apps for enterprise Explore Microsoft 365 Apps for enterprise functionality Explore your app compatibility by using the Readiness Toolkit Complete a self-service installation of Microsoft 365 Apps for enterprise Deploy Microsoft 365 Apps for enterprise with Microsoft Configuration Manager Deploy Microsoft 365 Apps for enterprise from the cloud Deploy Microsoft 365 Apps for enterprise from a local source Manage updates to Microsoft 365 Apps for enterprise Explore the update channels for Microsoft 365 Apps for enterprise Manage your cloud apps using the Microsoft 365 Apps admin center 9 - Analyze your Microsoft 365 workplace data using Microsoft Viva Insights Examine the analytical features of Microsoft Viva Insights Explore Personal insights Explore Team insights Explore Organization insights Explore Advanced insights 10 - Explore identity synchronization Examine identity models for Microsoft 365 Examine authentication options for the hybrid identity model Explore directory synchronization 11 - Prepare for identity synchronization to Microsoft 365 Plan your Microsoft Entra deployment Prepare for directory synchronization Choose your directory synchronization tool Plan for directory synchronization using Microsoft Entra Connect Plan for directory synchronization using Microsoft Entra Connect cloud sync 12 - Implement directory synchronization tools Configure Microsoft Entra Connect prerequisites Configure Microsoft Entra Connect Monitor synchronization services using Microsoft Entra Connect Health Configure Microsoft Entra Connect cloud sync prerequisites Configure Microsoft Entra Connect cloud sync 13 - Manage synchronized identities Manage users with directory synchronization Manage groups with directory synchronization Use Microsoft Entra Connect Sync Security Groups to help maintain directory synchronization Configure object filters for directory synchronization Explore Microsoft Identity Manager Troubleshoot directory synchronization 14 - Manage secure user access in Microsoft 365 Manage user passwords Enable pass-through authentication Enable multifactor authentication Enable passwordless sign-in with Microsoft Authenticator Explore self-service password management Explore Windows Hello for Business Implement Microsoft Entra Smart Lockout Implement conditional access policies Explore Security Defaults in Microsoft Entra ID Investigate authentication issues using sign-in logs 15 - Examine threat vectors and data breaches Explore today's work and threat landscape Examine how phishing retrieves sensitive information Examine how spoofing deceives users and compromises data security Compare spam and malware Examine account breaches Examine elevation of privilege attacks Examine how data exfiltration moves data out of your tenant Examine how attackers delete data from your tenant Examine how data spillage exposes data outside your tenant Examine other types of attacks 16 - Explore the Zero Trust security model Examine the principles and components of the Zero Trust model Plan for a Zero Trust security model in your organization Examine Microsoft's strategy for Zero Trust networking Adopt a Zero Trust approach 17 - Explore security solutions in Microsoft 365 Defender Enhance your email security using Exchange Online Protection and Microsoft Defender for Office 365 Protect your organization's identities using Microsoft Defender for Identity Protect your enterprise network against advanced threats using Microsoft Defender for Endpoint Protect against cyber attacks using Microsoft 365 Threat Intelligence Provide insight into suspicious activity using Microsoft Cloud App Security Review the security reports in Microsoft 365 Defender 18 - Examine Microsoft Secure Score Explore Microsoft Secure Score Assess your security posture with Microsoft Secure Score Improve your secure score Track your Microsoft Secure Score history and meet your goals 19 - Examine Privileged Identity Management Explore Privileged Identity Management in Microsoft Entra ID Configure Privileged Identity Management Audit Privileged Identity Management Control privileged admin tasks using Privileged Access Management 20 - Examine Azure Identity Protection Explore Azure Identity Protection Enable the default protection policies in Azure Identity Protection Explore the vulnerabilities and risk events detected by Azure Identity Protection Plan your identity investigation 21 - Examine Exchange Online Protection Examine the anti-malware pipeline Detect messages with spam or malware using Zero-hour auto purge Explore anti-spoofing protection provided by Exchange Online Protection Explore other anti-spoofing protection Examine outbound spam filtering 22 - Examine Microsoft Defender for Office 365 Climb the security ladder from EOP to Microsoft Defender for Office 365 Expand EOP protections by using Safe Attachments and Safe Links Manage spoofed intelligence Configure outbound spam filtering policies Unblock users from sending email 23 - Manage Safe Attachments Protect users from malicious attachments by using Safe Attachments Create Safe Attachment policies using Microsoft Defender for Office 365 Create Safe Attachments policies using PowerShell Modify an existing Safe Attachments policy Create a transport rule to bypass a Safe Attachments policy Examine the end-user experience with Safe Attachments 24 - Manage Safe Links Protect users from malicious URLs by using Safe Links Create Safe Links policies using Microsoft 365 Defender Create Safe Links policies using PowerShell Modify an existing Safe Links policy Create a transport rule to bypass a Safe Links policy Examine the end-user experience with Safe Links 25 - Explore threat intelligence in Microsoft 365 Defender Explore Microsoft Intelligent Security Graph Explore alert policies in Microsoft 365 Run automated investigations and responses Explore threat hunting with Microsoft Threat Protection Explore advanced threat hunting in Microsoft 365 Defender Explore threat analytics in Microsoft 365 Identify threat issues using Microsoft Defender reports 26 - Implement app protection by using Microsoft Defender for Cloud Apps Explore Microsoft Defender Cloud Apps Deploy Microsoft Defender for Cloud Apps Configure file policies in Microsoft Defender for Cloud Apps Manage and respond to alerts in Microsoft Defender for Cloud Apps Configure Cloud Discovery in Microsoft Defender for Cloud Apps Troubleshoot Cloud Discovery in Microsoft Defender for Cloud Apps 27 - Implement endpoint protection by using Microsoft Defender for Endpoint Explore Microsoft Defender for Endpoint Configure Microsoft Defender for Endpoint in Microsoft Intune Onboard devices in Microsoft Defender for Endpoint Manage endpoint vulnerabilities with Microsoft Defender Vulnerability Management Manage device discovery and vulnerability assessment Reduce your threat and vulnerability exposure 28 - Implement threat protection by using Microsoft Defender for Office 365 Explore the Microsoft Defender for Office 365 protection stack Investigate security attacks by using Threat Explorer Identify cybersecurity issues by using Threat Trackers Prepare for attacks with Attack simulation training 29 - Examine data governance solutions in Microsoft Purview Explore data governance and compliance in Microsoft Purview Protect sensitive data with Microsoft Purview Information Protection Govern organizational data using Microsoft Purview Data Lifecycle Management Minimize internal risks with Microsoft Purview Insider Risk Management Explore Microsoft Purview eDiscovery solutions 30 - Explore archiving and records management in Microsoft 365 Explore archive mailboxes in Microsoft 365 Enable archive mailboxes in Microsoft 365 Explore Microsoft Purview Records Management Implement Microsoft Purview Records Management Restore deleted data in Exchange Online Restore deleted data in SharePoint Online 31 - Explore retention in Microsoft 365 Explore retention by using retention policies and retention labels Compare capabilities in retention policies and retention labels Define the scope of a retention policy Examine the principles of retention Implement retention using retention policies, retention labels, and eDiscovery holds Restrict retention changes by using Preservation Lock 32 - Explore Microsoft Purview Message Encryption Examine Microsoft Purview Message Encryption Configure Microsoft Purview Message Encryption Define mail flow rules to encrypt email messages Add organizational branding to encrypted email messages Explore Microsoft Purview Advanced Message Encryption 33 - Explore compliance in Microsoft 365 Plan for security and compliance in Microsoft 365 Plan your beginning compliance tasks in Microsoft Purview Manage your compliance requirements with Compliance Manager Examine the Compliance Manager dashboard Analyze the Microsoft Compliance score 34 - Implement Microsoft Purview Insider Risk Management Explore insider risk management Plan for insider risk management Explore insider risk management policies Create insider risk management policies Investigate insider risk management activities and alerts Explore insider risk management cases 35 - Implement Microsoft Purview Information Barriers Explore Microsoft Purview Information Barriers Configure information barriers in Microsoft Purview Examine information barriers in Microsoft Teams Examine information barriers in OneDrive Examine information barriers in SharePoint 36 - Explore Microsoft Purview Data Loss Prevention Examine Data Loss Prevention Explore Endpoint data loss prevention Examine DLP policies View DLP policy results Explore DLP reports 37 - Implement Microsoft Purview Data Loss Prevention Plan to implement Microsoft Purview Data Loss Protection Implement Microsoft Purview's default DLP policies Design a custom DLP policy Create a custom DLP policy from a template Configure email notifications for DLP policies Configure policy tips for DLP policies 38 - Implement data classification of sensitive information Explore data classification Implement data classification in Microsoft 365 Explore trainable classifiers Create and retrain a trainable classifier View sensitive data using Content explorer and Activity explorer Detect sensitive information documents using Document Fingerprinting 39 - Explore sensitivity labels Manage data protection using sensitivity labels Explore what sensitivity labels can do Determine a sensitivity label's scope Apply sensitivity labels automatically Explore sensitivity label policies 40 - Implement sensitivity labels Plan your deployment strategy for sensitivity labels Examine the requirements to create a sensitivity label Create sensitivity labels Publish sensitivity labels Remove and delete sensitivity labels Additional course details: Nexus Humans MS-102T00: Microsoft 365 Administrator 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 MS-102T00: Microsoft 365 Administrator 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.

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Duration 2 Days 12 CPD hours This course is intended for Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm

Duration 1 Days 6 CPD hours This course is intended for Sales Legal Marketing Business analysts Project managers AWS Academy students Other IT-related professionals Overview Summarize the working definition of AWS Differentiate between on-premises, hybrid-cloud, and all-in cloud Describe the basic global infrastructure of the AWS Cloud Explain the six benefits of the AWS Cloud Describe and provide an example of the core AWS services, including compute, network, databases, and storage Identify an appropriate solution using AWS Cloud services with various use cases Describe the AWS Well-Architected Framework Explain the shared responsibility model Describe the core security services within the AWS Cloud Describe the basics of AWS Cloud migration Articulate the financial benefits of the AWS Cloud for an organization?s cost management Define the core billing, account management, and pricing models Explain how to use pricing tools to make cost-effective choices for AWS services This course is for individuals who seek an overall understanding of the Amazon Web Services (AWS) Cloud, independent of specific technical roles. You will learn about AWS Cloud concepts, AWS services, security, architecture, pricing, and support to build your AWS Cloud knowledge. This course also helps you prepare for the AWS Certified Cloud Practitioner exam. Prerequisites General IT technical knowledge, General IT business knowledge 1 - Introduction to Amazon Web Services Summarize the benefits of AWS Describe differences between on-demand delivery and cloud deployments Summarize the pay-as-you-go pricing model 2 - Compute in the Cloud Describe the benefits of Amazon Elastic Compute Cloud (Amazon EC2) at a basic level Identify the different Amazon EC2 instance types Differentiate between the various billing options for Amazon EC2 Describe the benefits of Amazon EC2 Auto Scaling Summarize the benefits of Elastic Load Balancing Give an example of the uses for Elastic Load Balancing Summarize the differences between Amazon Simple Notification Service (Amazon SNS) and Amazon Simple Queue Services (Amazon SQS) Summarize additional AWS compute options 3 - Global Infrastructure and Reliability Summarize the benefits of the AWS Global Infrastructure Describe the basic concept of Availability Zones Describe the benefits of Amazon CloudFront and Edge locations Compare different methods for provisioning AWS services 4 - Networking Describe the basic concepts of networking Describe the difference between public and private networking resources Explain a virtual private gateway using a real life scenario Explain a virtual private network (VPN) using a real life scenario Describe the benefit of AWS Direct Connect Describe the benefit of hybrid deployments Describe the layers of security used in an IT strategy Describe which services are used to interact with the AWS global network 5 - Storage and Databases Summarize the basic concept of storage and databases Describe benefits of Amazon Elastic Block Store (Amazon EBS) Describe benefits of Amazon Simple Storage Service (Amazon S3) Describe the benefits of Amazon Elastic File System (Amazon EFS) Summarize various storage solutions Describe the benefits of Amazon Relational Database Service (Amazon RDS) Describe the benefits of Amazon DynamoDB Summarize various database services 6 - Security Explain the benefits of the shared responsibility model Describe multi-factor authentication (MFA) Differentiate between the AWS Identity and Access Management (IAM) security levels Describe security policies at a basic level Explain the benefits of AWS Organizations Summarize the benefits of compliance with AWS Explain primary AWS security services at a basic level 7 - Monitoring and Analytics Summarize approaches to monitoring your AWS environment Describe the benefits of Amazon CloudWatch Describe the benefits of AWS CloudTrail Describe the benefits of AWS Trusted Advisor 8 - Pricing and Support Understand AWS pricing and support models Describe the AWS Free Tier Describe key benefits of AWS Organizations and consolidated billing Explain the benefits of AWS Budgets Explain the benefits of AWS Cost Explorer Explain the primary benefits of the AWS Pricing Calculator Distinguish between the various AWS Support Plans Describe the benefits of AWS Marketplace 9 - Migration and Innovation Understand migration and innovation in the AWS Cloud Summarize the AWS Cloud Adoption Framework (AWS CAF) Summarize six key factors of a cloud migration strategy Describe the benefits of various AWS data migration solutions, such as AWS Snowcone, AWS Snowball, and AWS Snowmobile Summarize the broad scope of innovative solutions that AWS offers Summarize the five pillars of the AWS Well-Architected Framewor 10 - AWS Certified Cloud Practitioner Basics Determine resources for preparing for the AWS Certified Cloud Practitioner examination Describe benefits of becoming AWS Certified

Duration 5 Days 30 CPD hours This course is intended for This course is designed for API developers. Overview Configure services in Cloud Manager for an on-premises installation of API Connect Create a catalog and Developer Portal Create consumer and provider organizations Create, test, and publish SOAP, REST, and GraphQL APIs Create message processing policies that transform API requests and responses Authorize client API requests with security definitions Enforce an OAuth flow with an OAuth 2.0 API security provider Perform advanced testing of APIs by using the Test tab and the Local Test Environment Define products and plans in API Manager Stage, publish, version, migrate, deprecate, and retire products and APIs Manage member roles and permissions in the Developer Portal Create an application and subscribe to a plan Review API analytics in the Developer Portal Review analytics dashboards and visualizations in API Manager Customize the Developer Portal This course teaches you how to configure a newly built API Connect 10 environment. You are taught how to configure a catalog with the gateway, portal, and analytics services and set up the environment for API development. You then define API interfaces according to the OpenAPI specification. You build SOAP and REST based APIs along with a GraphQL API. You assemble message processing policies and define client authorization schemes, such as OAuth 2.0, in the API definition. You verify the proper sequencing of policies in the assembly tester and further test your APIs in the new Test tab and Local Test Environment. After building and testing your APIs, you publish them and make them available on the Developer Portal. You manage all aspects of the provider organization in the API Manager user interface to create, publish, version, and retire API artifacts such as products, plans and APIs themselves. You also learn how to manage consumer organizations who use the APIs that are made available on the Developer Portal. You learn how to add members to the consumer organization that provides access to the APIs on the Developer Portal. You learn how the layout of the Developer Portal can be customized. Finally, you call the APIs on the secure gateway and you view the graphs and metrics of API usage. Course Outline Introduction to IBM API Connect V10 Exercise: Reviewing the API Connect development and runtime environments Managing catalogs and organizations Exercise: Managing catalogs and consumer organizations Defining APIs in API Manager Exercise: Defining an API that calls an existing SOAP service Defining a REST API in API Manager Exercise: Defining a REST API from a target service Assembling message processing policies Exercise: Assembling message processing policies Declaring client authorization requirements Creating an OAuth 2.0 provider Exercise: Implementing OAuth 2.0 security Testing and debugging APIs Exercise: Introduction to the Test tab Creating and testing a GraphQL API Exercise: Creating and testing a GraphQL API Testing an API in the Local Test Environment Exercise: Testing an API in the Local Test Environment Publishing and managing products and APIs Exercise: Define and publish an API product The product lifecycle Exercise: Subscribing and testing APIs in the Developer Portal Exercise: Managing and approving API Products Subscribing and testing APIs in the Developer Portal API Analytics Exercise: Calling an API on the gateway and monitoring API usage Customizing the Developer Portal Exercise: Customizing the Developer Portal Additional course details: Nexus Humans WD515G Create, Secure, and Publish APIs with IBM API Connect 10 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 WD515G Create, Secure, and Publish APIs with IBM API Connect 10 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 The information protection administrator translates an organization?s risk and compliance requirements into technical implementation. They are responsible for implementing and managing solutions for content classification, data loss prevention (DLP), information protection, data lifecycle management, records management, privacy, risk, and compliance. They also work with other roles that are responsible for governance, data, and security to evaluate and develop policies to address an organization's risk reduction and compliance goals. This role assists workload administrators, business application owners, human resources departments, and legal stakeholders to implement technology solutions that support the necessary policies and controls. Learn how to protect information in your Microsoft 365 deployment. This course focuses on data lifecycle management and information protection and compliance within your organization. The course covers implementation of data loss prevention policies, sensitive information types, sensitivity labels, data retention policies, Microsoft Purview Message Encryption, audit, eDiscovery, and insider risk among other related topics. The course helps learners prepare for the Microsoft Information Protection Administrator exam (SC-400). Prerequisites Foundational knowledge of Microsoft security and compliance technologies. Basic knowledge of information protection concepts. Understanding of cloud computing concepts. Understanding of Microsoft 365 products and services. 1 - Introduction to information protection and data lifecycle management in Microsoft Purview Know your data Protect your data Prevent data loss Govern your data 2 - Classify data for protection and governance Data classification overview Classify data using sensitive information types Classify data using trainable classifiers Review sensitive information and label usage Explore labeled and sensitive content Understand activities related to your data 3 - Create and manage sensitive information types Compare built-in versus custom sensitive information types Create and manage custom sensitive information types Describe custom sensitive information types with exact data match Implement document fingerprinting Create keyword dictionary 4 - Understand Microsoft 365 encryption Learn how Microsoft 365 data is encrypted at rest Understand service encryption in Microsoft Purview Explore customer key management using Customer Key Learn how data is encrypted in-transit 5 - Deploy Microsoft Purview Message Encryption Implement Microsoft Purview Message Encryption Implement Microsoft Purview Advanced Message Encryption Use Microsoft Purview Message Encryption templates in mail flow rules 6 - Protect information in Microsoft Purview Information protection overview Configure sensitivity labels Configure sensitivity label policies Configure auto-labeling policies Manage, monitor, and remediate information protection 7 - Apply and manage sensitivity labels Apply sensitivity labels to Microsoft Teams, Microsoft 365 groups, and SharePoint sites Plan on-premises labeling Configure on-premises labeling for the Unified Labeling Scanner Apply protections and restrictions to email and files Monitor label performance using label analytics 8 - Prevent data loss in Microsoft Purview Data loss prevention overview Identify content to protect Define policy settings for your DLP policy Test and create your DLP policy Prepare Endpoint DLP Manage DLP alerts in the Microsoft Purview compliance portal View data loss prevention reports Implement the Microsoft Purview Extension 9 - Configure DLP policies for Microsoft Defender for Cloud Apps and Power Platform Configure data loss prevention policies for Power Platform Integrate data loss prevention in Microsoft Defender for Cloud Apps Configure policies in Microsoft Defender for Cloud Apps Manage data loss prevention violations in Microsoft Defender for Cloud Apps 10 - Manage data loss prevention policies and reports in Microsoft 365 Configure data loss prevention for policy precedence Implement data loss prevention policies in test mode Explain data loss prevention reporting capabilities Manage permissions for data loss prevention reports Manage and respond to data loss prevention policy violations 11 - Manage the data lifecycle in Microsoft Purview Data Lifecycle Management overview Configure retention policies Configure retention labels Configure manual retention label policies Configure auto-apply retention label policies Import data for Data Lifecycle Management Manage, monitor, and remediate Data Lifecycle Management 12 - Manage data retention in Microsoft 365 workloads Explain retention in Exchange Online Explain retention in SharePoint Online and OneDrive Explain retention in Microsoft Yammer Activate archive mailboxes in Microsoft Exchange Apply mailbox holds in Microsoft Exchange Recover content in Microsoft Exchange 13 - Manage records in Microsoft Purview Records management overview Import a file plan Configure retention labels Configure event driven retention Manage, monitor, and remediate records 14 - Explore compliance in Microsoft 365 Plan for security and compliance in Microsoft 365 Plan your beginning compliance tasks in Microsoft Purview Manage your compliance requirements with Compliance Manager Examine the Compliance Manager dashboard Analyze the Microsoft Compliance score 15 - Search for content in the Microsoft Purview compliance portal Explore Microsoft Purview eDiscovery solutions Create a content search View the search results and statistics Export the search results and search report Configure search permissions filtering Search for and delete email messages 16 - Manage Microsoft Purview eDiscovery (Standard) Explore Microsoft Purview eDiscovery solutions Implement Microsoft Purview eDiscovery (Standard) Create eDiscovery holds Search for content in a case Export content from a case Close, reopen, and delete a case 17 - Manage Microsoft Purview eDiscovery (Premium) Explore Microsoft Purview eDiscovery (Premium) Implement Microsoft Purview eDiscovery (Premium) Create and manage an eDiscovery (Premium) case Manage custodians and non-custodial data sources Analyze case content 18 - Manage Microsoft Purview Audit (Standard) Explore Microsoft Purview Audit solutions Implement Microsoft Purview Audit (Standard) Search the audit log Export, configure, and view audit log records Use audit log searching to investigate common support issues 19 - Prepare Microsoft Purview Communication Compliance Plan for communication compliance Identify and resolve communication compliance workflow Case study--Configure an offensive language policy Investigate and remediate communication compliance alerts 20 - Manage insider risk in Microsoft Purview Insider risk management overview Create and manage insider risk policies Investigate insider risk alerts Take action on insider risk alerts through cases Manage insider risk management forensic evidence Create insider risk management notice templates 21 - Implement Microsoft Purview Information Barriers Explore Microsoft Purview Information Barriers Configure information barriers in Microsoft Purview Examine information barriers in Microsoft Teams Examine information barriers in OneDrive Examine information barriers in SharePoint 22 - Manage regulatory and privacy requirements with Microsoft Priva Create and manage risk management policies Investigate and remediate risk management alerts Create rights requests Manage data estimate and retrieval for rights requests Review data from rights requests Get reports from rights requests 23 - Implement privileged access management Case study--Implementing privileged access management 24 - Manage Customer Lockbox Manage Customer Lockbox requests

Duration 1 Days 6 CPD hours This course is intended for This course is designed for candidates looking to demonstrate foundational-level knowledge of cloud-based solutions to facilitate productivity and collaboration on-site, at home, or a combination of both.ÿCandidates may have knowledge of cloud-based solutions or may be new to Microsoft 365. Overview After completing this course, students will be able to: Describe cloud concepts Describe core Microsoft 365 services and concepts Describe security, compliance, privacy, and trust in Microsoft 365 Describe Microsoft 365 pricing and support This course introduces Microsoft 365, an integrated cloud platform that delivers industry-leading productivity apps along with intelligent cloud services, and world-class security. You?ll learn foundational knowledge on the considerations and benefits of adopting cloud services and the Software as a Service (SaaS) cloud model, with a specific focus on Microsoft 365 cloud service offerings. You will begin by learning about cloud fundamentals, including an overview of cloud computing. You will be introduced to Microsoft 365 and learn how Microsoft 365 solutions improve productivity, facilitate collaboration, and optimize communications. The course then analyzes how security, compliance, privacy, and trust are handled in Microsoft 365, and it concludes with a review of Microsoft 365 subscriptions, licenses, billing, and support. 1 - Describe cloud computing What is cloud computing Describe the shared responsibility model Define cloud models Describe the consumption-based model 2 - Describe the benefits of using cloud services Describe the benefits of high availability and scalability in the cloud Describe the benefits of reliability and predictability in the cloud Describe the benefits of security and governance in the cloud Describe the benefits of manageability in the cloud 3 - Describe cloud service types Describe Infrastructure as a Service Describe Platform as a Service Describe Software as a Service 4 - What is Microsoft 365? Describe the differences between Office 365 and Microsoft 365 Describe Windows 365 Describe how Microsoft 365 empowers workers in this hybrid world of work Explore Microsoft 365 tenant 5 - Describe productivity solutions of Microsoft 365 Describe the productivity capabilities and benefits of Microsoft 365 Describe Microsoft 365 Apps Describe work management tools in Microsoft 365 Describe additional Microsoft 365 productivity apps 6 - Describe collaboration solutions of Microsoft 365 Describe the collaboration capabilities and benefits of Microsoft 365 Describe how Microsoft Teams promotes collaboration and enhances teamwork Describe the Microsoft Viva apps Describe how Yammer helps communities connect and grow 7 - Describe endpoint modernization, management concepts, and deployment options in Microsoft 365 Describe the endpoint management capabilities of Microsoft 365 Compare the differences of Windows 365 and Azure Virtual Desktop Describe the deployment and release models for Windows-as-a-Service (WaaS) Identify deployment methods and update channels for Microsoft 365 Apps 8 - Describe analytics capabilities of Microsoft 365 Describe the capabilities of Viva Insights Describe the capabilities of the Microsoft 365 admin center and Microsoft 365 user portal Describe the reports available in the Microsoft 365 admin center and other admin centers 9 - Describe the services and identity types of Azure AD Describe Azure Active Directory Describe the available Azure AD editions Describe Azure AD identity types Describe the types of external identities Describe the concept of hybrid identity 10 - Describe the access management capabilities of Azure AD Describe Conditional Access in Azure AD Describe the benefits of Azure AD roles and role-based access control 11 - Describe threat protection with Microsoft 365 Defender Describe Microsoft 365 Defender services Describe Microsoft Defender for Office 365 Describe Microsoft Defender for Endpoint Describe Microsoft Defender for Cloud Apps Describe Microsoft Defender for Identity Describe the Microsoft 365 Defender portal 12 - Describe security capabilities of Microsoft Sentinel Describe how Microsoft Sentinel provides integrated threat management Understand Sentinel costs 13 - Describe the compliance management capabilities in Microsoft Purview Describe the Microsoft Purview compliance portal Describe Compliance Manager Describe use and benefits of compliance score 14 - Describe the Service Trust Portal and privacy at Microsoft Describe the Service Trust Portal Describe Microsoft's privacy principles Describe Microsoft Priva 15 - Describe Microsoft 365 pricing, licensing, and billing options Explore pricing models for Microsoft cloud services Explore the billing and bill management options Explore the available licensing and management options 16 - Describe support offerings for Microsoft 365 services Explore support options for Microsoft 365 services Explain service level agreement (SLAs) concepts Identify how to track the service health status Explore how organizations can share feedback on Microsoft 365 services

Duration 1 Days 6 CPD hours This course is intended for The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don?t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful. This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. Prerequisites Prerequisite certification is not required before taking this course. Successful Azure AI Fundamental students start with some basic awareness of computing and internet concepts, and an interest in using Azure AI services. Specifically: Experience using computers and the internet. Interest in use cases for AI applications and machine learning models. A willingness to learn through hands-on exp... 1 - Fundamental AI Concepts Understand machine learning Understand computer vision Understand natural language processing Understand document intelligence and knowledge mining Understand generative AI Challenges and risks with AI Understand Responsible AI 2 - Fundamentals of machine learning What is machine learning? Types of machine learning Regression Binary classification Multiclass classification Clustering Deep learning Azure Machine Learning 3 - Fundamentals of Azure AI services AI services on the Azure platform Create Azure AI service resources Use Azure AI services Understand authentication for Azure AI services 4 - Fundamentals of Computer Vision Images and image processing Machine learning for computer vision Azure AI Vision 5 - Fundamentals of Facial Recognition Understand Face analysis Get started with Face analysis on Azure 6 - Fundamentals of optical character recognition Get started with Vision Studio on Azure 7 - Fundamentals of Text Analysis with the Language Service Understand Text Analytics Get started with text analysis 8 - Fundamentals of question answering with the Language Service Understand question answering Get started with the Language service and Azure Bot Service 9 - Fundamentals of conversational language understanding Describe conversational language understanding Get started with conversational language understanding in Azure 10 - Fundamentals of Azure AI Speech Understand speech recognition and synthesis Get started with speech on Azure 11 - Fundamentals of Azure AI Document Intelligence Explore capabilities of document intelligence Get started with receipt analysis on Azure 12 - Fundamentals of Knowledge Mining with Azure Cognitive Search What is Azure Cognitive Search? Identify elements of a search solution Use a skillset to define an enrichment pipeline Understand indexes Use an indexer to build an index Persist enriched data in a knowledge store Create an index in the Azure portal Query data in an Azure Cognitive Search index 13 - Fundamentals of Generative AI What is generative AI? Large language models What is Azure OpenAI? What are copilots? Improve generative AI responses with prompt engineering 14 - Fundamentals of Azure OpenAI Service What is generative AI Describe Azure OpenAI How to use Azure OpenAI Understand OpenAI's natural language capabilities Understand OpenAI code generation capabilities Understand OpenAI's image generation capabilities Describe Azure OpenAI's access and responsible AI policies 15 - Fundamentals of Responsible Generative AI Plan a responsible generative AI solution Identify potential harms Measure potential harms Mitigate potential harms Operate a responsible generative AI solution Additional course details: Nexus Humans AI-900T00 - Microsoft Azure AI Fundamentals 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 AI-900T00 - Microsoft Azure AI Fundamentals 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.

Our training programme will provide those involved at any stage of the process for procuring goods and/or services within their organisations with the knowledge and skillset to identify and mitigate the threat posed by the breadth and multi-layered complexity of procurement fraud, corruption and associated financial crime and money laundering.

his course covers the essential Python Basics, in our interactive, instructor led Live Virtual Classroom. This Python Basics course is a very good introduction to essential fundamental programming concepts using Python as programming language. These concepts are daily used by programmers and is your first step to working as a programmer. By the end, you'll be comfortable in programming Python code. You will have done small projects. This will serve for you as examples and samples that you can use to build larger projects.