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Teaches core components of the Microsoft Power Platform including connectors, AI Builder, and common data service
Offers insights into how different products within the Power Platform utilize these core components
Designed for learners who want to enhance their app-building skills within the Power Platform
Led by industry expert Vlad Catrinescu
Course materials include videos, readings, and discussions
Provides a strong foundation for beginners in the Microsoft Power Platform

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Learners who complete Core Components of Power Platform will develop knowledge and skills that may be useful to these careers:
Data Analyst
A Data Analyst gathers, interprets, and presents data to help businesses gain insights and make informed decisions. This course provides a foundation in data storage and analytics, and covers topics such as data connectors, AI-powered data analysis, and data security. These concepts are essential for success as a Data Analyst, as they enable the efficient and reliable handling of large datasets.
Business Intelligence Analyst
A Business Intelligence Analyst helps businesses understand their data and make better decisions. This course provides a strong foundation in the core components of the Microsoft Power Platform, including data connectors, AI, and data storage. These concepts are essential for success as a Business Intelligence Analyst, as they enable the development of powerful data-driven insights and solutions.
Data Engineer
A Data Engineer designs, builds, and maintains data systems. This course provides a foundation in data storage, data connectors, and AI-powered data analysis. These concepts are essential for success as a Data Engineer, as they enable the efficient and scalable management of large datasets.
Data Scientist
A Data Scientist uses statistical and machine learning techniques to extract insights from data. This course provides a foundation in AI-powered data analysis and data storage. These concepts are essential for success as a Data Scientist, as they enable the development and deployment of robust data-driven solutions.
Software Engineer
A Software Engineer designs, develops, and maintains software systems. This course provides a foundation in data storage, data connectors, and AI-powered data analysis. These concepts can be applied to the development of data-driven applications and tools, which are in high demand in the software industry.
Database Administrator
A Database Administrator manages and maintains databases. This course provides a strong foundation in data storage and data security. These concepts are essential for success as a Database Administrator, as they enable the efficient and secure management of large databases.
Business Analyst
A Business Analyst helps businesses understand their needs and develop solutions. This course provides a foundation in data analysis and data storage. These concepts can be applied to the analysis of business data, which is essential for developing effective business solutions.
Project Manager
A Project Manager plans, executes, and controls projects. This course provides a foundation in data analysis and data storage. These concepts can be applied to the management of data-driven projects, which are becoming increasingly common in various industries.
Data Architect
A Data Architect designs and manages data systems. This course provides a foundation in data storage and data security. These concepts are essential for success as a Data Architect, as they enable the design and implementation of scalable and secure data systems.
Cloud Engineer
A Cloud Engineer designs, builds, and maintains cloud-based systems. This course provides a foundation in data storage and data security. These concepts can be applied to the development and management of cloud-based data systems, which are in high demand in the tech industry.
Information Security Analyst
An Information Security Analyst protects computer systems and networks from cyber threats. This course provides a foundation in data security and data storage. These concepts are essential for success as an Information Security Analyst, as they enable the development and implementation of robust security measures for data systems.
Enterprise Architect
An Enterprise Architect designs and manages the IT infrastructure of an organization. This course provides a foundation in data storage and data security. These concepts can be applied to the design and management of enterprise-wide data systems, which are essential for the smooth operation of large organizations.
Network Administrator
A Network Administrator manages and maintains computer networks. This course provides a foundation in data storage and data security. These concepts can be applied to the management of network-attached storage devices and the implementation of network security measures.
Database Developer
A Database Developer designs and develops databases. This course provides a foundation in data storage and data security. These concepts are essential for success as a Database Developer, as they enable the design and implementation of efficient and secure databases.
Software Tester
A Software Tester tests software systems for errors and defects. This course provides a foundation in data storage and data security. These concepts can be applied to the testing of data-driven software systems, which are becoming increasingly common in various industries.

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Core Components of Power Platform.
Comprehensive guide to data security, covering topics such as data encryption, access control, and data destruction. It good resource for anyone who wants to learn more about data security best practices.
Is widely considered the essential reference for understanding DAX, the formula language of Power BI. It provides a comprehensive deep dive into DAX concepts, evaluation contexts, and optimization techniques. While challenging, it's invaluable for anyone seeking to truly master Power BI's analytical capabilities and is often recommended for intermediate to advanced users and professionals.
Walks step by step through visual domain modeling, microflow logic, page design, and REST integration inside the Mendix enterprise low-code platform. Teaches citizen and professional developers how to collaborate on governed, production-ready web and mobile applications.
Directly addresses workflow automation using Microsoft Power Automate, a key technology mentioned in the course list. It covers core concepts like connectors, triggers, and actions within the Power Automate environment. It practical guide for those looking to implement automation solutions using this specific platform and provides valuable context on how connectors are utilized in a no-code/low-code setting. The second edition recent publication.
Addresses enterprise governance, Dataverse security models, application lifecycle management (ALM), and fusion team patterns for scaling low-code solutions. Essential for solution architects preventing shadow IT sprawl across large Power Apps and Power Automate estates.
Focuses specifically on Power Query (M), the data transformation engine in Power BI. It's an excellent resource for users who need to connect to, clean, and shape data efficiently before analysis. It covers the M language in detail with practical examples, making it highly relevant for data preparation tasks.
Serves as a practical cookbook for solving common business problems using DAX. It provides a collection of reusable DAX patterns, making it an excellent companion to 'The Definitive Guide to DAX' for applying DAX in real-world scenarios.
A comprehensive guide to mastering the Power Query M language, this book is for users who need to perform complex data transformations. It delves into the intricacies of M code and provides practical examples for real-world problems.
The second edition of this book provides updated coverage on expert data modeling techniques in Power BI. It's a key resource for users looking to build optimized data models for complex reporting and business needs.
Written by the same authors as 'The Definitive Guide to DAX', this book provides a strong foundation in data modeling and analysis using Power BI and Power Pivot. It's a great bridge for those transitioning from Excel and offers clear explanations of key concepts with practical examples.
Supplies hands-on workflow automation recipes spanning cloud connectors, multi-stage approvals, file processing, and robotic process automation via Power Automate Desktop. Equips enterprise makers and developers to govern and scale low-code automations reliably.
Delivers practical recipes for constructing canvas and model-driven apps, integrating barcode scanners and camera controls, and automating approvals with Power Automate. Helps business technologists rapidly replace manual spreadsheet workflows with responsive mobile apps.
Focuses on the practical application of Power Query for data collection, combination, and transformation in both Excel and Power BI. It's a valuable resource for anyone who spends significant time preparing data for analysis.
Explains Power Fx formulas, data connectors, offline data synchronization, and custom component reuse in clear, approachable chapters. Ideal for non-programmers and business analysts transitioning from Excel formulas to full CRUD application development.
This guidebook offers a comprehensive overview of the Business Intelligence lifecycle, from data integration to analytics. It provides clear explanations of architectural design and processes, making it valuable for gaining a broad understanding of the field. It useful reference for navigating the complexities of BI projects and includes practical solutions.
Covers relational data modeling in Microsoft Dataverse, business process flows, declarative validation rules, and Power Pages portals. Equips functional consultants to translate stakeholder requirements directly into low-code enterprise solutions.
Focuses on the essential skill of data modeling within Power BI, covering concepts relevant to Power BI, Analysis Services tabular, and SQL databases. It's a valuable resource for understanding how to structure data for effective analysis.
Provides a comprehensive overview of Power Apps, covering everything from creating simple apps to building complex solutions. It great resource for both beginners and experienced developers.
Great resource for developers who want to learn more about the developer features of Power Apps. It covers topics such as data integration, security, and performance.
Aimed at intermediate to advanced users, this book delves into expert techniques for creating impactful Power BI solutions. It covers various aspects of Power BI, including data modeling, visualization, and deployment, making it a valuable resource for professionals seeking to enhance their skills.
Another book specifically on Microsoft Power Automate, this resource focuses on using the platform to improve productivity through workflow automation. It covers the practical application of Power Automate features, including the use of connectors to integrate various services and automate tasks. It good hands-on guide for those looking to utilize Power Automate effectively.
Another strong resource for learning Power Query, this book by a well-known Power BI expert covers data transformation techniques in detail. It's suitable for users who want a thorough understanding of Power Query's capabilities.
Demonstrates how to architect reactive web and mobile applications, aggregate queries, role-based security, and multi-layer service architectures in OutSystems. Bridges visual drag-and-drop development with enterprise software engineering discipline.
Focuses on process-centric low-code orchestration, SAIL interface expressions, data fabric records, and robotic process integration inside Appian. Guides enterprise developers through building high-throughput case management and workflow automation applications.
Focuses on how companies can strategize and compete effectively in an era transformed by AI. It's highly relevant for business leaders and professionals using AI Builder to drive digital transformation. It provides a framework for leveraging AI as a core strategic asset.
Establishes the computer science theory behind semantic models, declarative abstractions, and code generation that power every modern low-code platform. Teaches software architects how visual and declarative DSLs separate domain intent from underlying execution code.
This guide provides a quick introduction to Power BI for beginners, covering essential topics like data modeling, visualization, and storytelling with data. It's a good resource for getting up to speed quickly with the core functionalities of Power BI.
Comprehensive guide to the entire Business Intelligence project lifecycle, from planning to deployment. It provides a structured approach to implementing BI solutions and emphasizes understanding business needs and ensuring data quality. It valuable resource for project managers and those involved in BI implementation.
A foundational text for understanding how data science, including machine learning, can be applied to improve business decision-making. is essential reading for business-oriented students and professionals using AI Builder. It provides crucial context on framing business problems in a way that can be solved with data and AI.
Unifies Power Apps, Power Automate, Power BI, and Power Virtual Agents into a cohesive end-to-end project curriculum. Shows citizen developers how to combine low-code user interfaces with automated cloud flows and embedded analytics.
Serves as a practical guide for beginners to get started with self-service data analytics using Power BI Desktop and Excel. It covers the fundamental steps involved in the BI process using these tools.
Provides real-world examples of how companies are using big data and analytics to achieve success. It showcases Business Intelligence in action across various industries, offering practical insights and inspiration. It's valuable for understanding the practical applications of BI.
Addresses the importance of having a sound data strategy in the age of big data and IoT. It helps readers understand how to leverage data, analytics, and Business Intelligence to drive profitability and gain a competitive edge.
Specifically aimed at Excel users transitioning to Power BI, this book leverages existing Excel knowledge to introduce Power Pivot, Power Query, and DAX. It's a helpful resource for those with a strong Excel background looking to expand their capabilities.
This comprehensive reference guide covers a wide range of Power BI features, from installation and data modeling to dashboard creation and administration. It's a useful resource for gaining a broad understanding of the Power BI toolset.
Directly relevant to the business context of AI Builder, this handbook focuses on how AI can be applied to solve real-world business problems. It's highly valuable for working professionals and business-focused students. It provides essential context on the strategic value and potential use cases of AI technologies like those offered by AI Builder.
Foundational text in the field of application integration, providing a comprehensive pattern language for designing messaging solutions. While not focused specifically on the Microsoft Power Platform, the patterns and concepts are universally applicable and provide essential background knowledge for understanding how connectors function within larger integration architectures. It valuable reference for anyone seeking to deepen their understanding of the underlying principles of enterprise application integration.
Provides a structured foundational survey of low-code application components, connectors, Dataverse tables, and AI Builder capabilities. Serves as an accessible first textbook for learners entering the low-code development ecosystem.
Reframes AI as a 'prediction machine,' explaining its economic implications in clear terms. It's highly relevant for business leaders and professionals using AI Builder to understand the economic value and opportunities presented by AI. It helps in identifying where and how AI can create business value.
Illustrates how operations teams connect SaaS APIs, webhooks, multi-step conditional logic, and OpenAI prompts without writing backend glue code. Expands low-code fluency into cross-platform no-code integration and intelligent workflow automation.
Predictive analytics is an advanced area within Business Intelligence. explores how predictive analytics works and its applications in various business scenarios. It's suitable for those looking to deepen their understanding of advanced BI techniques.
Introduces form-driven application design, Deluge scripting, automated approval workflows, and multi-device deployment on the Zoho Creator platform. Useful for small and midsize businesses building custom CRM and inventory apps rapidly.
Effective data visualization crucial aspect of Business Intelligence. focuses on the principles of designing insightful and effective dashboards for communicating data clearly and accurately. It's a valuable resource for anyone involved in presenting BI findings.
Offers a solid foundation in the algorithms and techniques used in predictive data analytics, a core aspect of many AI Builder scenarios. It balances theory with practical examples and case studies, making it suitable for undergraduate and graduate students, as well as professionals. It helps solidify understanding of the 'why' and 'how' behind the predictive capabilities offered by AI Builder.
Examines the Now Platform architecture, relational data modeling, access control security, workspace UI configuration, and Flow Designer automation. Enables enterprise teams to ship governed ServiceNow applications and external integrations with minimal custom scripting.
Tableau widely used BI and data visualization tool. focuses on mastering Tableau for implementing advanced BI techniques, analytics, and even machine learning models. It's a practical guide for those looking to become proficient in using a popular BI platform.
Bridges executive strategy and technical execution across Power Apps, Power Automate, Power Pages, and Copilot Studio AI agents. Guides architects and transformation leaders on establishing environment governance, security guardrails, and measurable low-code ROI.
Serves as an excellent introduction to Business Intelligence for beginners with no prior experience. It covers basic concepts, vocabulary, and walks readers through the process of identifying business needs and implementing a BI strategy. It's a great starting point for high school and undergraduate students.

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