ENTERPRISE AI TRAINING
Agentic Apps with Claude API
For backend, full-stack, ML engineers
A two-day workshop on turning that edge into an agent only your company can ship. Claude API, structured memory, tools wired to your systems, evaluation harnesses, MCP servers — a production agent, not a demo.
Two ways to ship an agent.
Wrapping Claude
A chatbot UI on top of the API. System prompt with a few paragraphs of context. Two or three tools, hand-rolled. Prompts tested by eye. Demos well. Breaks on the second real user.
An agent your company owns
Claude API + structured memory (working + long-term). Tools wired to your actual systems — CRM, ticketing, internal APIs, data warehouse. An MCP server exposing your proprietary capabilities, reusable across every Claude surface. Eval harness with golden traces from real user paths. Deterministic guardrails where failure isn't an option.
The wrapper can be cloned in a weekend. The agent can't — because the knowledge is yours.
WHAT YOU’LL TAKE HOME
- Memory-aware agents — rolling, long-term, compaction, scratchpads
- Tools wired to your systems — schemas, parallel calls, errors you can operate
- ReAct vs Plan-then-Execute vs multi-agent — when each fails
- An eval harness with golden traces — the closest agents get to unit tests
- A custom MCP server exposing one of your proprietary capabilities
- Production-ready — cost, latency, safety guardrails
Take home: a memory-aware agent, an eval harness, a custom MCP server, an SDK-vs-LangChain matrix.
WHO TEACHES THIS
Ajinkya Kolhe
CTO
11 years in AI — from Google Cloud to IIT Bombay to Morgan Stanley. 300,000+ developers across 7+ countries. Built the SIRA risk framework and the live Pulse dashboard. 2x TedX Speaker.
On-site or remote. Built for 6–15 builders — backend, full-stack, ML — who'll ship the agent together. Duration scoped per engagement.
Mail ajinkya.kolhe@purnamedha.ai for team details.
Request dates for your team