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MOC AI-102T00 Designing and Implementing a Microsoft Azure AI Solution



AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. The course will use C# or Python as the programming language.


  • Prepare to develop AI solutions on Azure
  • Create and consume Azure AI Services
  • Secure Azure AI Services
  • Monitor Azure AI Services
  • Deploy Azure AI services in containers
  • Analyze images
  • Classify images
  • Detect, analyze, and recognize faces
  • Read Text in Images and Documents with the Azure AI Vision Service
  • Analyze video
  • Analyze text with Azure AI Language
  • Build a question answering solution
  • Build a conversational language understanding model
  • Create a custom text classification solution
  • Create a custom named entity extraction solution
  • Translate text with Azure AI Translator service
  • Create speech-enabled apps with Azure AI services
  • Translate speech with the Azure AI Speech service
  • Create an Azure Cognitive Search solution
  • Create a custom skill for Azure Cognitive Search
  • Create a knowledge store with Azure Cognitive Search
  • Plan an Azure AI Document Intelligence solution
  • Use prebuilt Azure AI Document Intelligence models
  • Extract data from forms with Azure Document Intelligence
  • Get started with Azure OpenAI Service
  • Build natural language solutions with Azure OpenAI Service
  • Apply prompt engineering with Azure OpenAI Service
  • Generate code with Azure OpenAI Service
  • Generate images with Azure OpenAI Service
  • Use your own data with Azure OpenAI Service
  • Fundamentals of Responsible Generative AI

MOC PL300T00 Microsoft Power BI Data Analyst



This course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will show how to access and process data from a range of data sources including both relational and non-relational sources. Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution.


Module 1: Get Started with Microsoft Data Analytics This module explores the different roles in the data space, outlines the important roles and responsibilities of a Data Analysts, and then explores the landscape of the Power BI portfolio. Lessons
  • Data Analytics and Microsoft
  • Getting Started with Power BI After completing this module, students will be able to:
    • Explore the different roles in data
    • Identify the tasks that are performed by a data analyst
    • Describe the Power BI landscape of products and services
    • Use the Power BI service
Module 2: Getting Data in Power BI This module explores identifying and retrieving data from various data sources. You will also learn the options for connectivity and data storage and understand the difference and performance implications of connecting directly to data vs. importing it. Lessons
  • Data Analytics and Microsoft
  • Optimize Performance
  • Resolve Data Errors
  • Lab : Preparing Data in Power BI Desktop
  • Prepare Data After completing this module, students will be able to:
    • Identify and retrieve data from different data sources
    • Understand the connection methods and their performance implications
    • Use Microsoft Dataverse
    • Connect to a data flow
Module 3: Cleaning, Transforming, and Loading Data in Power BI This module teaches you the process of profiling and understanding the condition of the data. They will learn how to identify anomalies, look at the size and shape of their data, and perform the proper data cleaning and transforming steps to prepare the data for loading into the model. Lessons
  • Shaping the Data
  • Profiling the Data
  • Enhance the data structure
  • Lab : Loading Data in Power BI Desktop
  • Loading Data After completing this module, students will be able to:
    • Apply data shape transformations
    • Enhance the structure of the data
    • Profile and examine the data
Module 4: Design a Data Model in Power BI This module teaches the fundamental concepts of designing and developing a data model for proper performance and scalability. This module will also help you understand and tackle many of the common data modeling issues, including relationships, security, and performance. Lessons
  • Introduction to data modeling
  • Working with tables
  • Dimensions and Hierarchies
  • Lab : Data Modeling in Power BI Desktop
  • Create Model Relationships
  • Configure Tables and Column Properties
  • Create hierarchies After completing this module, students will be able to:
    • Understand the basics of data modeling
    • Define relationships and their cardinality
    • Implement Dimensions and Hierarchies
Module 5: Create Model Calculations using DAX in Power BI This module introduces you to the world of DAX and its true power for enhancing a model. You will learn about aggregations and the concepts of Measures, calculated columns and tables, and Time Intelligence functions to solve calculation and data analysis problems. Lessons
  • Introduction to DAX
  • Real-time dashboards
  • Advanced DAX
  • Lab : Introduction to DAX in Power BI Desktop
  • Create calculated tables
  • Create calculated columns
  • Create measures
  • Lab : Advanced DAX in Power BI Desktop
  • Use the CALCULATE() function to manipulate filter context
  • Use Time Intelligence functions After completing this module, students will be able to:
    • Understand DAX
    • Use DAX for simple formulas and expressions
    • Create calculated tables and measures
    • Build simple measures
    • Work with Time Intelligence and Key Performance Indicators
Module 6: Optimize Model Performance in Power BI In this module you are introduced to steps, processes, concepts, and data modeling best practices necessary to optimize a data model for enterprise-level performance. Lessons
  • Optimize the data model for performance
  • Optimize DirectQuery Models After completing this module, students will be able to:
    • Understand the importance of variables
    • Enhance the data model
    • Optimize the storage model
Module 7: Create Reports in Power BI This module introduces you to the fundamental concepts and principles of designing and building a report, including selecting the correct visuals, designing a page layout, and applying basic but critical functionality. The important topic of designing for accessibility is also covered. Lessons
  • Design a report
  • Enhance the report
  • Lab : Enhancing reports with interaction and formatting in Power BI Desktop
  • Create and configure Sync Slicers
  • Create a drillthrough page
  • Apply conditional formatting
  • Create and use Bookmarks
  • Lab : Designing a report in Power BI Desktop
  • Design a report
  • Configure visual fields and format properties After completing this module, students will be able to:
    • Design a report page layout
    • Select and add effective visualizations
    • Add basic report functionality
    • Add report navigation and interactions
Module 8: Create Dashboards in Power BI In this module you will learn how to tell a compelling story through the use of dashboards and the different navigation tools available to provide navigation. You will be introduced to features and functionality and how to enhance dashboards for usability and insights. Lessons
  • Create a Dashboard
  • Real-time Dashboards
  • Enhance a Dashboard
  • Lab : Creating a Dashboard in Power BI Service
  • Create a Dashboard
  • Pin visuals to a Dashboard
  • Use Q&A to create a dashboard tile After completing this module, students will be able to:
    • Create a Dashboard
    • Understand real-time Dashboards
    • Enhance Dashboard usability
Module 9: Identify Patterns and Trends in Power BI This module helps you apply additional features to enhance the report for analytical insights in the data, equipping you with the steps to use the report for actual data analysis. You will also perform advanced analytics using AI visuals on the report for even deeper and meaningful data insights. Lessons
  • Advanced Analytics
  • Data Insights through AI visuals
  • Lab : Data Analysis in Power BI Desktop
  • Create animated scatter charts
  • Use the visual to forecast values After completing this module, students will be able to:
    • Use the Analyze feature
    • Identify outliers in data
    • Use the AI visuals
    • Use the Advanced Analytics custom visual
Module 10: Create and Manage Workspaces in Power BI This module will introduce you to Workspaces, including how to create and manage them. You will also learn how to share content, including reports and dashboards, and then learn how to distribute an App. Lessons
  • Creating Workspaces
  • Sharing and Managing Assets After completing this module, students will be able to:
    • Create and manage a workspace
    • Understand workspace collaboration
    • Monitor workspace usage and performance
    • Distribute an App
Module 11: Manage Files and Datasets in Power BI This module will introduce you to parameters and datasets. You will also learn how to manage datasets and parameters, build dynamic reports with parameters, and set dataset refresh options. Lessons
  • Parameters
  • Datasets After completing this module, students will be able to:
    • Manage datasets and parameters
    • Build dynamic reports with parameters
    • Schedule dataset refresh
    • Troubleshoot gateway service connectivity
Module 12: Row-level Security in Power BI This module will introduce you to row-level security, both static and dynamic methods, and how to implement. Lessons
  • Security in Power BI
  • Lab : Enforce Row-Level Security
  • Configure many-to-many relationships
  • Enforce row-level security After completing this module, students will be able to:
    • Implement row-level security using both the Static and Dynamic methods


DIGIfly è un assessment che misura la maturità digitale della tua azienda.

Grazie a DIGIFly identifichi le aree di successo e le criticità del tuo lavoro quotidiano con un approccio personalizzato e approfondito: prendiamo in considerazion i tuoi attuali processi aziendali le modalità di collaborazione, la comunicazione e le interazioni tra reparti.

Il risultato dell’assessment ti mette infatti a disposizione una visione dall’alto dei tuoi processi aziendali, individuandone i punti di forza e di debolezza, e ti permette di pianificare una roadmap (suddivisa per progetti) strutturata in base ai tuoi obiettivi strategici aziendali.

L’assessment è strutturato in 3 fasi principali:

  • Incontro onsite presso la tua sede: in questa fase sarà intervistato il top management e i responsabili delle funzioni aziendali al fine di individuare le inefficienze intra e interdipartimentali e la raccolta dei fabbisogni.
  • Analisi: in questa fase rielaboriamo tutti i dati raccolti, scriviamo un documento con i risultati e impostiamo il piano di lavoro e le eventuali alternative.
  • Presentazione dei risultati: la terza fase prevede la condivisione del documento con il top management e viene impostato insieme un percorso sostenibile per migliorare la digitalizzazione dei tuoi processi aziendali.

I risultati di DIGIFly sono tangibili fin dai primi momenti della sua implementazione: a mano a mano che vengono messe in opera le soluzioni individuate è possibile vedere un miglioramento della fludità delle attività condivise tra i reparti, la semplificazione dell’utilizzo condiviso degli strumenti e la riduzione delle richieste di helpdesk per gli applicativi aziendali.