Live 1:1 Sessions
Book a single focused session or combine several into a learning path. Every session ends with a production-relatable project, not just slides and theory.
Independent
Book only the topic you need. No forced course bundle.
Hands-on
Most of the time is spent building, debugging, and designing.
Production-minded
We discuss failure modes, security, reliability, cost, and scale.
Flagship catalog
Start with the project and outcome. Open a session for the exact prerequisites, agenda, deliverables, preparation, and recommended next step.
13 sessions shown
Build a typed inventory API with validation, error handling, OpenAPI docs, health checks, and production-minded boundaries.
You will build
Inventory Management API
Prerequisite
Comfort with Python functions, modules, lists, and dictionaries
Connect frontend, API, authentication, data persistence, search, and containerisation into one production-relatable application.
You will build
Production Issue Tracker
Prerequisite
Basic React knowledge
Design and build an order-event pipeline while learning topics, partitions, consumer groups, retries, and idempotent processing.
You will build
Order Processing Event Pipeline
Prerequisite
Comfort building or reading backend APIs
Take a churn model from raw data through preprocessing, evaluation, serialization, API inference, and containerisation.
You will build
Customer Churn Prediction Service
Prerequisite
Basic Python
Understand self-attention and transformer data flow by implementing the important pieces and applying them to intent routing.
You will build
Support Ticket Intent Router
Prerequisite
Basic neural-network understanding
Move from chat responses to reliable application behavior with schemas, validation, tool selection, and typed outputs.
You will build
Order Support Assistant
Prerequisite
Basic Python or TypeScript
Build a complete retrieval-augmented generation pipeline that answers from technical documents with source evidence.
You will build
Internal Engineering Knowledge Assistant
Prerequisite
Basic Python
Upgrade a naive RAG pipeline with metadata filters, hybrid retrieval, reranking, query rewriting, and measurable retrieval improvements.
You will build
Production Support Knowledge Assistant
Prerequisite
Understand a basic RAG pipeline
Build a bounded agent loop and learn the practical difference between chatbots, workflows, tool-using systems, and agents.
You will build
Incident Triage Agent
Prerequisite
Basic LLM API understanding
Build a stateful support workflow with explicit nodes, routing, retries, checkpoints, and human-review boundaries.
You will build
Production Support Workflow
Prerequisite
Python
Build an MCP server that exposes useful engineering tools and connect it to an AI client with clear tool contracts.
You will build
Internal Developer MCP Server
Prerequisite
Comfort with APIs and tool/function calling
Design a production operations copilot across planning, tools, memory, approval, telemetry, persistence, and failure recovery.
You will build
Production Operations Copilot
Prerequisite
Tool calling fundamentals
Automate linting, tests, builds, and container publishing so every change follows the same repeatable delivery path.
You will build
Automated Delivery Pipeline
Prerequisite
Basic Git and GitHub usage
Proof before pitch
Review workshop evidence, project work, architecture notes, and technical writing before deciding whether the teaching style fits you.
Not sure where to start?
Send what you already know and what you want to build. I’ll suggest the smallest useful session sequence rather than pushing a full track.
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