Live cohort · Certification

Become AI-native.

Master Claude Code and the agentic toolkit, wire AI into your tools with MCP and custom skills, deploy your own agents, and build a knowledge vault that runs your work. You ship something real every week.

Claude Code · MCP & Skills · Agents · Knowledge Vault · Evals & Economics — 12.5 hrs live

Why this course

Anyone can demo an agent. We teach you to prove it works — and prove what it costs.

Curriculum

Five modules. You ship something every week.

Each module is ~75 minutes of live instruction, a hands-on lab, and homework that builds toward your capstone: your own agent and knowledge vault, with proof they work and a number on what they cost. A non-coder track keeps every module hands-on without writing code.

01
The agentic toolkit: Claude Code, Claude Desktop & Codex

Get the tools everyone is talking about working for you — and learn when to use which. Specs, plans, and subagents; skill workflows ("superpowers" like brainstorming, planning, and systematic writing) that make AI a real partner on non-coding work too.

you ship: every tool installed + your first real task done with Claude Code

Agentic
coding tools
02
MCP & skills: connect AI to your world

What MCP is, what skills are, and when each is the right tool. Wire AI into Slack, Drive, GitHub, and your calendar; stand up a simple MCP server; then author your own reusable skill for a workflow you repeat every week.

you ship: a working MCP connection into your own stack + a custom skill you wrote

MCP ·
skills
03
Build & deploy AI agents

Agent loops, bounded autonomy, subagent orchestration, and scheduled agents that work while you sleep — taught from the fleet of research, lead-signal, and marketing agents we run every day at UnitSense, with guardrails against runaway loops.

you ship: your own autonomous agent, deployed and running on a schedule

AI
agents
04
The knowledge vault: your AI-operated workspace

The system that makes everything else compound: context files, memory, file structures agents can navigate, daily logs and handoffs. Taught on the real vault UnitSense runs the company on — and you build yours live alongside it.

you ship: your own knowledge vault, structured and driving a real workflow

Knowledge
vaults
05
Ship agents you can defend: evals + economics

Does it work, and what does it cost? Lightweight evaluations and LLM-as-judge basics, then token economics — cost per task, per outcome, per agent. Capstone presentations close the course: your agent and vault, with an eval check and a cost number.

you ship: your capstone — and earn the certification

Evals ·
AI cost & ROI
Format

Structured learning, not content consumption.

Live, cohort-based, and assessed — a real course with defined learning outcomes and shipped deliverables, not a playlist of videos.

Schedule

3 weeks, 5 live modules.

Two evenings a week (2.5 hrs each) plus two office-hour blocks — 12.5 hrs of live instruction and ~8–10 hrs of labs and project work.

Who it's for

Every professional.

Engineers, solutions engineers, PMs, ops, managers. No coding background required — the non-coder track keeps every module hands-on.

What you keep

A working AI setup.

By the end: the full toolkit configured, a custom skill, a deployed agent, and a knowledge vault running a real workflow — not notes, infrastructure.

Certification

LinkedIn-shareable.

Graded homework and a rubric-scored capstone earn the certification — the completion record education-reimbursement programs require.

Required tools: Anthropic + OpenAI API access (~$50 in usage credits) for the duration of the course.

Education reimbursement

Your employer's education benefit may cover this.

The course is built to the quality frameworks used by advanced-AI education reimbursement programs — a defined syllabus spanning weeks, 10+ hours of live instruction, written learning outcomes, industry instructors, and priority AI domains (AI agents, evaluations, AI-augmented professional skills). Enrollees get a reimbursement kit: syllabus PDF, instructor bios, hour accounting, and role-specific justification language for your pre-approval. Final eligibility always rests with your employer's benefits process.

Request the syllabus
Instructors

Taught by people who run this in production.

UnitSense builds the AI unit-economics platform — cost attribution, governance, and agent observability over live LLM traffic. The agents, skills, and knowledge vault you'll learn from are the ones running our company right now.

Instructor

Bilal Baqar

Co-founder & CEO, UnitSense

8+ years in enterprise infrastructure and AI systems. Formerly Director of AI Infrastructure at CTDS, where he built and operated a petabyte-scale, zero-trust Kubernetes GPU cluster for production AI workloads. MS Computer Science, University of Chicago; MBA, Chicago Booth.

Instructor

Salman Sikandar

Co-founder, President & CTO, UnitSense

10+ years in platform and infrastructure engineering. Architect of UnitSense's multi-tenant AI gateway — routing, caching, budget enforcement, and agent observability over live production LLM traffic. Previously platform engineering at CTDS, PLUMgrid, and Motorola.

Curriculum

Peer-reviewed & cohort-rated

The curriculum is reviewed by named external AI practitioners and refined through a rated beta cohort before each run. Reviewer list and ratings published on the course page.

Join the interest list

Seats are limited. Get the syllabus first.

Tell us a bit about you and we'll send the full syllabus, cohort dates, pricing, and the reimbursement kit as soon as enrollment opens.

No commitment — joining the list just reserves your place in line.