TRAINING ROADMAP

Upcoming Online Lectures, Labs and Learning Paths


  • Security Fundamentals

    This course provides an overview of Defense in Depth security challenges and strategies of mitigation in the information systems environment. Topics include definition of security terms, security concepts, elements, and goals incorporating industry standards and practices with a focus on confidentiality, availability, and integrity fundamentals of information systems for Systems Administrators.

  • Dynamics 365 Fundamentals

    Dynamics 365 is a family of Business Applications. This course provides an overview of the functionality provided by Dynamics 365 Apps to provide a foundational level of knowledge of their capabilities and how the Apps are provided by Microsoft.
    We start off by looking at the various Dynamics 365 Apps and the Power Platform. 
    We then move on to a more detailed look the Apps for Customer Engagement, including what is involved in purchasing, deployment and support.
    We then switch attention to the Apps for Unified Operation, again what is involved in purchasing, deployment and support.
    This course will wrap up by at Cloud Concepts These concepts are not specifically about Dynamics 365 but as Software as a Service applications, it is important to understand and be able to articulate these concepts.

  • MS-300: Configure and Manage OneDrive for Business

    Students will learn how to connect clients to all their files in Office 365, enabling the ability to share and work from anywhere in a secure environment. This course will deliver a experience of adoption for the attendees, getting to know the deeps and tricks of OneDrive for business and the benefits that come with the platform.

  • Azure SQL Database Concept Overview: Course One of Introduction to Azure SQL Database

    Course 1 provides the conceptual backdrop of setting the stage for Azure SQL Database as a contender and enterprise premium workload.   This course covers the concepts and service tier definitions for Azure SQL Database, providing a formal launch point for additional course study on this feature set. 

  • Azure SQL Database Security: Course Two of Introduction to Azure SQL Database

    Course 2 guides participants through Azure SQL Database Security Concepts, including Role-base Access Control (RBAC) and a survey of the Security Advisory Tools Azure provides as part of the overall feature set.   In addition, this course introduces Row Level Security and Dynamic Data Masking to round out.

  • Azure SQL Database Tooling and Management: Course Three of Introduction to Azure SQL Database

    Course 3 takes participants on a tour of Azure SQL Database management, showcasing various Azure SQL Tooling options and focusing on the considerations for integration and management of an Azure SQL Database instance.

  • Azure SQL Database Monitoring and Data Encryption: Course Four of Introduction to Azure SQL Database

    Course 4 discusses various database monitoring and data encryption options provided within Azure SQL Database.  Monitoring options include a brief introduction to Extended Events with a particular focus on popular encryption options like storage-level Transparent Data Encryption and client-side Always Encrypted column-level encryption are covered.

  • Azure SQL Database Elastic Scaling: Course Five of Introduction to Azure SQL Database

    Course 5 is a tour into Azure SQL Database Elastic Scaling and guidance for decisions on proper usage of Elastic Pools vs Instances when configuring Azure SQL Database for desired performance goals.

  • Azure SQL Database High Availability and Disaster Recovery: Course Six of Introduction to Azure SQL Database

    Course 6 discusses Azure SQL Database options providing various levels of HADR capability through platform configuration.  On entry, participants will get exposure to the backing roles that MSFT and Deployment Teams take in HADR, conceptual considerations and requirements., evolving into a tour of what Azure SQL Database brings to the table to simplify and promote reduced downtime and near-zero data loss on an existing enterprise grade SLA.  In addition, client-side design implications are discussed in terms of building advanced fault tolerance capability as a pre-configpluggable. 

  • Azure SQL Database Sizing and Performance: Course Seven of Introduction to Azure SQL Database

    Course 7 discusses various sizing and performance options available.  Participants will consider options, match to basic performance scenarios engaging both with Azure Performance Advisor Tools as well as manual adjustments to fit specific custom requirements.  

  • AWS Certified DevOps Engineer

    The AWS Certified DevOps Engineer - Professional exam tests the candidate's technical expertise in provisioning, operating, and managing distributed application systems on the AWS platform. For this exam, you should know how to:

    Implement and manage continuous delivery systems and methodologies on AWS. Understand, implement, and automate security controls, governance processes, and compliance validation. Define and deploy monitoring, metrics, and logging systems on AWS. Implement systems that are highly available, scalable, and self-healing on the AWS platform. Design, manage, and maintain tools to automate operational processes.

    This course is designed to provide you with the knowledge and skills required to pass the AWS Certified DevOps Engineer - Professional exam and to successfully apply these skills in the workplace.

  • MS-300: Configure and Manage Workload Integrations

    This course will help you prepare for the exam MS-300: Deploying Microsoft 365 Teamwork by covering the basics of configuring and managing workload integrations in Microsoft 365. This four-module course will cover integrating M365 workloads (such as Office 365 connectors, Flow and PowerApps, etc.), enabling document support for Yammer, managing Stream, and integrating M365 workloads with external systems (such as PowerBI, line of business systems and monitoring usage and licensing).

  • Define and Prepare the Development Environment: Course One of DP-100 Exam Preparation

    The student will learn how Azure services can support the data science process. They’ll explore common architectures, learn to assess business goals and constraints for determining the correct environment, and setup the relevant development environments to support data science deployments in Azure.

  • Prepare Data for Modeling: Course Two of DP-100 Exam Preparation

    The student will learn how to prepare tabular datasets ready for modeling. Integrating data from multiple sources, understanding relationships inside the data, and cleansing issues where possible are important tasks for building robust statistical models. These techniques will be taught in Azure DataBricks using common Python libraries and Microsoft developed libraries like the Azure Machine Learning Data Prep SDK.

  • Perform Feature Engineering: Course Three of DP-100 Exam Preparation

    The student will learn how develop effective and reusable features ready for modeling. Using manual techniques and then automated techniques, the data scientist will be able to handle core data types using SciKit-Learn and Microsoft Python libraries like MMLSpark and Azure Machine Learning Data Prep SDK.

  • Develop Models: Course Four of DP-100 Exam Preparation

    The student will learn how develop robust models. Starting from selecting the right metric to meet business goals, through to building tuned models, and then evaluating the models produced for fitness. 

  • Azure Monitoring and Operations

    This course will cover the history of monitoring in Azure, demystify what all the Azure native monitoring tools look like, provide guidance on when to use what + why or when, walk through Azure Monitor Alerts (metrics and diagnostics), dive into Log Analytics/Kusto Query Language (KQL), discuss parts of the former OMS, dig into Azure Backup + Azure Site Recovery, go over Azure Automation, and explore Application Insights.