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Apizr Academy

Learn it. Try it. Explain the result.

From useful Python code to results you can explain

Follow the projects and decisions actually shown in Apizr Academy: inspect Requests, expose arithmetic and colour conversions, connect an OCI/MCP image to Ollama, then review fraud and Wine experiments.

Work through those questions in 12 lessons following the produced recordings. Each has an integrated video, a written explanation, a concrete exercise and a correction you can open after trying it. Lessons I–V start with basic Python and introduce the Apizr/MCP workflow. Lessons VI–XI assume familiarity with notebooks and model evaluation; XII applies the review workflow in VS Code.

Start with lesson 1 Choose your learning path

12 video lessons74 min of course videos3 practical learning paths

Choose the environment before you begin

I–V were recorded with Apizr 0.4.3; VI–XII use the 0.4.6 development candidate, which is not a published package release. Each lesson identifies its recorded version, chapters and exact transcript. Use the current installation guide for a new installation, or the identified recording environment to replay it. The written exercises follow the filmed case and pause questions.

Choose your learning path

01 · Build interfaces

For Python developers making a function callable by an application or an AI client. Begin with installation and inspection, make real REST and MCP calls, then follow an OCI image through an Ollama tool request.

Lessons 1–5 · 29 min of video · hands-on work at your pace

02 · Understand experiments

For developers and data scientists reading a notebook or selecting a prediction model. Distinguish source evidence, observed Runs, recorded differences and the precise context selected for serving.

Lessons 6–9 · 27 min of video · requires the lesson 1 environment

03 · Track and review

For people who already work in Python, Jupyter or VS Code. Choose meaningful capture boundaries, read actual execution history and review measured results in the editor.

Lessons 10–12 · 19 min of video · basic Run concepts from lessons 6–8 help

Build interfaces

Each video names its own source: four utility projects for installation, Requests for analysis, keon/algorithms for REST, TheAlgorithms/Python for MCP, and the Apizr shop for OCI with Ollama. The changes of repository are part of the recorded progression.

Understand experiments

Follow the synthetic fraud case through inspection, retained Runs, comparison and a selected prediction. Replay the same notebook, data changes, integrity refusals and comparison variants as the recordings.

Track and review

Move from explicit Python capture to a live Jupyter kernel, then review real Wine classification Runs in VS Code. Keep the observation separate from the scientific conclusion.

See the whole journey

Before the course, watch this 2:34 demonstration of a route calculation used through REST and MCP. It shows the end result; the lessons above explain the decisions and let you practise them.

Apizr route-planning demonstration Watch the demo

Open the Academy playlist on YouTube.

Keep the concepts close

Use these short references whenever a lesson raises a question: Capability, Readiness, Exposure, Execution and Interfaces. The written walkthrough and notebook-to-service guide provide the complete commands.

Videos play inside the lesson after you select Play. Their covers are local; YouTube loads only at that point through its privacy-enhanced player. You can complete the written exercises without loading a video.