Course catalog
Found: 2 courses · 15 in the catalog · all of them are recommended by moderation
Tagged ai-agents · Remove the tag
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