Looking to upskill as an individual?

Obsidi® Enterprise AI Engineering Fellowship

Build real systems faster and deliver AI capabilities across your engineering teams by implementing the latest frameworks.

Give your engineers 3 days and we’ll give you a team that ships safely

A private cohort aligns your tech stack and guardrails so pilots quickly move to production with built-in evaluation, governance, and rollback. Fewer stalls, fewer fire drills, and more features that hit your cost, latency, and quality KPIs. Scale your org without increasing headcount.

Enterprise outcomes

Tangible outcomes for your organization.

Build AI‑ready teams
Turn engineers into enterprise AI builders—ready to design, deploy, and scale LLM and agentic systems.
Standardize how you build AI
Adopt proven blueprints for RAG, MCP, and MLOps to deliver faster with less technical debt.
Stay compliant by design
Integrate security, privacy, and auditability into every feature—built‑in, not bolted on.
Connect AI to business impact
Link performance and reliability to ROI with clear KPI and SLI/SLO alignment.
Optimize for speed and scale
Master EvalOps and performance engineering to run AI systems faster and cheaper.
Future‑proof your stack
Leverage the latest frameworks—LangGraph, CrewAI, LiteLLM, vLLM—for flexibility and interoperability.
Innovate responsibly
Foster ethical, inclusive, and transparent AI development that builds trust and drives adoption.

Why Now

Move from demos to deployable AI systems.

This sprint gives your teams the frameworks, metrics, and evaluation artifacts needed for enterprise approval.

What Your Team Will Ship

A production‑ready capstone tied to your environment:

  • Architecture diagram aligned with business KPIs
  • Evaluation report with a golden set and quality gates
  • Governance pack with risk notes and sign‑off templates
  • Rollout plan for operational readiness

How It Runs

  • Three intensive days of live workshops, hands‑on labs, and guided pre‑work — designed for top mid‑to‑senior level engineers.
  • Small‑group, high‑touch instruction
  • Secure, NDA‑backed learning environment
  • Adaptable to your tech stack and compliance standards

This Course is Ideal For Technical Professionals Who...

✓ Have 3+ years of experience as a software engineer or systems developer

✓ Are currently working in a senior IC, staff, platform, or engineering management role

✓ Want to build secure, evaluable, and production‑ready AI systems

✓ Are ready to lead in the AI‑powered enterprise, not just consume APIs

Focus areas

What your team will learn across five modules.
Module 1 — AI product thinking & KPI → architecture
Translate business outcomes into measurable system designs (KPIs, SLIs/SLOs, ROI/TCO, risk).
Module 2 — Structured generation & contracts
Engineer predictable outputs with function calling, schemas, and controlled decoding.
Module 3 — Retrieval systems (RAG)
Hybrid retrieval, rerankers, and GraphRAG with evaluation metrics that track accuracy.
Module 4 — Agentic systems & MCP integration
Planner–executor patterns, safe graphs, and secure adapters to enterprise systems.
Module 5 — Gateway, EvalOps & governance
Routing and policies, CI eval gates, telemetry, privacy/risk notes, and audit‑ready docs.

Frequently Asked Questions

Can we run a private cohort for our engineering org?

Yes. We deliver 3-day private cohorts and align labs to your stack. Volume pricing and scheduling blocks are available.

How do you handle security, data, and IP governance?

Governance is built-in: policy checks before go-live, audit trails, and safe data patterns. We pass your security review and can tailor controls to your compliance needs.

What do we build?

A capstone aligned to your stack: evaluated RAG or agentic service with governance and telemetry.

Who should we send, and are there prerequisites?
Staff/Principal Engineers, Platform/Data/AI engineers, and Eng Managers. Attendees should be comfortable shipping software—this is production practice.
Pricing and logistics—how does procurement work?

Request a quote or call us for customized pricing.