Course catalog
Found: 4 courses · 15 in the catalog
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Version 1.0.0, 29 September 2026
level: advanced
A course for senior developers at Big 4 and other professional-services firms who already use GitHub Copilot — or are about to be told to — and want to use it as an engineer rather than as a faster autocomplete. Copilot in 2026 is an agent platform: agent mode and a Plan agent in Visual Studio 2026 and VS Code, specialised agents for debugging, profiling, testing and .NET modernisation, custom agents and skills your team keeps in the repository, MCP servers, cloud agents that return pull requests, and Copilot CLI in the terminal. The course teaches the skills that separate a senior from a passenger: engineering the context, splitting a task into a plan the agent can execute, reviewing an AI diff as critically as a colleague's, encoding team rules once so they work in every IDE, and knowing exactly what leaves the client's perimeter — and what it costs in AI Credits. Every capability is taught the same way: the pain that makes you reach for it, the capability itself, and its cost — including the uncomfortable ones, such as content exclusion not applying in agent mode, or a green test suite that an agent wrote to match its own bug. The mandatory track follows the official GH-300 (GitHub Copilot) exam outline, so the course doubles as certification preparation; optional units go deeper into Copilot CLI automation, hooks, model and cost engineering, and measuring real productivity. Labs use one sample repository — Aldervane Advisory LLP's ENGAGE platform — that opens in Visual Studio 2026, VS Code and the CLI alike; it is a public GitHub template (github.com/AndreyKuralekh/engage), so each learner starts from their own copy. Every lab also has a read-and-answer path for learners without a Copilot Business or Enterprise seat.
25 units · ~29.5 h without the optional units, ~34.5 h with them · material in English · author: Andrey Kuralekh
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
AZ-900: Microsoft Azure Fundamentals — prep for the 20 July 2026 skills outline (in Russian)
recommendedVersion 1.1.0, 20 September 2026
level: beginner
Exam-focused preparation for AZ-900: Microsoft Azure Fundamentals, built strictly against the skills measured as of 20 July 2026. Nineteen required units cover all three domains at their official weights: cloud concepts, Azure architecture and services, management and governance. Every service is taught as pain, then solution, then cost — because the exam asks which option fits a constraint, not what a service is called. A dedicated unit untangles the pairs candidates confuse most: Advisor and Monitor and Service Health, VPN Gateway and ExpressRoute, RBAC and Policy and resource locks, Cool and Archive, availability zones and region pairs. Three optional units cover databases, traffic delivery and secrets — useful at work, explicitly out of exam scope. Course text is in Russian; Azure service names stay in English, as you will meet them on the exam and in the portal.
Infrastructure and cloud · 22 units · ~37 h without the optional units, ~42 h with them · material in Русский
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