Course catalog
Found: 2 courses · 15 in the catalog
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Tagged for:developers Big 4 · Remove the tag
Version 1.0.0, 28 September 2026
level: beginner
A preparation course for Microsoft exam AI-901 (Microsoft Azure AI Fundamentals), written for software engineers in Big 4 and other professional-services firms who already write SQL, C# and Python and now need a working grasp of AI on Azure — and the certificate that proves it. AI-901 replaced AI-900 in 2026 and changed its character: more than half of the exam is about building with Microsoft Foundry — deploying models, writing prompts, building agents, and calling text, speech, vision and Content Understanding capabilities from lightweight Python apps. The course follows the official skills outline (April 2026 revision) domain by domain, with the same weights: AI concepts and capabilities (40–45%) and implementing AI solutions with Foundry (55–60%). Every topic is taught the same way: the problem that makes you reach for the capability, the capability itself, and what it costs — in tokens, quotas, latency, data residency and risk. Hands-on labs walk through the Foundry portal and the Python SDK step by step; if your corporate subscription blocks Foundry, each lab has a read-the-code path so you can still practise every exam objective. The running case is Aldervane Advisory LLP, a fictional professional-services firm building an internal Service Desk agent, extracting data from invoices and timesheets, and transcribing client meetings — where confidentiality of client data is never optional. Practice uses the question formats of the real exam: single and multiple choice, matching, Yes/No statement sets and code completion. Visual sketchnotes summarise each concept on one colourful page. Optional units cover the same apps in C#, quotas and cost, evaluation and tracing, and client-data governance.
24 units · ~27.8 h without the optional units, ~33.8 h with them · material in English · author: Andrey Kuralekh · recipes: 1
Version 1.0.1, 4 October 2026
level: intermediate
A preparation course for Microsoft exam PL-300 (Microsoft Power BI Data Analyst), written for senior developers in Big 4 and other professional-services firms who already think in SQL and code — and keep getting surprised by DAX. The course follows the official skills outline (April 2026 revision) with its four domains and weights: prepare the data (25–30%), model the data (25–30%), visualize and analyze the data (25–30%), and manage and secure Power BI (15–20%). It covers what the 2026 updates added: Direct Lake, calculation groups, visual calculations, DAX query view and Copilot in Power BI. The spine of the course is the shift from SQL thinking to DAX thinking: filter context, row context, CALCULATE and context transition, taught with small models you can compute in your head before you check them in Power BI Desktop. Every topic follows the same order: the pain, the solution, and what it costs — memory, refresh time, query latency, licences or security risk. Labs run in Power BI Desktop (free) on a synthetic Aldervane Advisory LLP dataset — timesheets, invoices with three role-playing dates, month-end WIP balances and a nested JSON export — published on GitHub. Service features (workspaces, apps, RLS, refresh) are shown step by step, with a free route to a sandbox tenant and a read-the-screenshots path for learners whose corporate tenant blocks publishing. Practice uses the formats of the real exam: single and multiple choice, matching, Yes/No statement sets, "what does this measure return in this cell" and DAX completion. Isotype-style pictures summarise one idea each. Optional units cover PBIP/TMDL and Git, a SQL-to-DAX phrasebook, client-confidentiality patterns and the bridge to Microsoft Fabric.
28 units · ~51 h without the optional units, ~59 h with them · material in English · author: Andrey Kuralekh