Agentic AI Training for Engineering Teams

I train engineering teams to actually work with AI agents - the way I do it every day, not the way it gets demoed on stage. Most teams I meet are stuck in slot-machine prompting: type something, hope, re-roll. The teams that ship treat agents like a process - plan, execute, verify - and that process is teachable. That’s what this is.

I’m not a full-time trainer. I’m an engineer who ships agentic systems as daily work and writes about it publicly. The training is the same workflow I use, handed over to your team, on your code, in a couple of days.

What your team walks away with

🧭 A workflow, not vibes The Plan-Execute-Verify loop your team can run on real tickets - so agent output is reviewable and repeatable instead of guess-and-pray.

🤖 Agents that do, not just chat How to wire agents to real tools and MCP so they take actions in your stack - and how to keep that safe and predictable.

🛠️ Judgment about the tooling When to reach for an agent, which model for which job, and where the current tools quietly fall over - from someone using them in anger.

📐 Less config debt How to set up agent configs and context so they stay an asset instead of turning into the technical debt nobody acknowledged.

What we cover

The spine is always the same - a real Plan-Execute-Verify workflow on your own code. Around it, we tailor the depth and the themes to your cohort. Common modules:

Plan-Execute-Verify in practiceThe core loop - turning a vague task into a plan an agent can execute and a human can verify.
Agentic coding day-to-dayDriving a coding agent on real work: context, guardrails, review, and where to keep a human in the loop.
Tools and MCPGiving agents real capabilities through tools and the Model Context Protocol - and doing it without handing over the keys.
Model and tool judgmentPicking the right model and the right tool for the job, and recognising the failure modes before they bite.

Hands-on depth versus awareness-level coverage is a dial we set per cohort - see formats below.

Formats

Two dials - how long, and how deep. We pick the combination that fits your team's size and goals on the scoping call.

Pick a duration

Half-day - a focused primer for a team getting started.
Full-day - the core workflow with live, hands-on work.
Multi-day - deeper, embedded practice across your own projects.

Pick a depth

Awareness track - leaders and teams who need to understand what's real, fast.
Hands-on track - engineers building and shipping with agents during the session.

Two things you'll actually see

No slideware-only sessions. The training is anchored on live demonstrations your team can follow and then reproduce:

1
Live agentic coding, Plan-Execute-Verify A real task taken end to end - planned, executed by an agent, and verified - so the loop stops being a slide and becomes something your team can run on Monday.
2
An agent that uses a tool to do real work An agent calling a real tool through MCP to get something done - the difference between an assistant that talks and one that acts. I build and run public MCP servers, so this is shown from real code, not a mock.

Why me - the proof is public

I don't have training testimonials to wave around. I have a public trail of doing this work. Read it and decide for yourself:

Agents and tools I build and run

The demos aren't mockups. They come out of agents, MCP servers, and tools I build and run myself:

Request a scoping call

Tell me a little about your team and I'll come back within a business day to scope a session. Two quick fields, two taps.

Prefer to just email?

Reach me directly at contact@prashamhtrivedi.in or on LinkedIn. A short scoping call is the fastest way to figure out the right format for your team.