Lead Instructor: Mian Ahmad Basit — Peshawar
LLMOps in Peshawar
Instrument production AI with tracing, evaluation, and cost control.
As Peshawar attracts more remote and outsourced engineering work, production AI skills open doors that generic coding knowledge doesn't.
Peshawar
Live cohort location
Live Weekly Classes
Practical, hands-on sessions
Certification
On completion
Freelance-Ready
Practical project focus
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Curriculum Breakdown
LLMOps — What You'll Learn in Peshawar
Operate LLM systems in production the way SREs operate infrastructure — full-stack tracing, automated evaluation, semantic caching, token accounting, and financial budget enforcement for AI workloads that need to stay reliable and affordable. As Peshawar attracts more remote and outsourced engineering work, production AI skills open doors that generic coding knowledge doesn't.
Module 01
Tracing & Telemetry
- LangSmith tracing and span-level telemetry
- Langfuse token and latency monitoring
- Logfire span-level traces for Python AI services
- RAGAS and Inspect AI automated evaluation
- RAG and agent output validation pipelines
Module 02
Caching & Cost Control
- Anthropic and OpenAI prompt prefix caching
- Semantic caching with Redis and GPTCache
- Token accounting across multi-model deployments
- Rate limiting and per-user token budgets
- Financial budget enforcement and alerting
Module 03
Production Reliability
- Building end-to-end observability dashboards
- Detecting silent quality regressions in production
- Cost attribution by feature, user, and model
- Setting SLOs for latency and error rate on AI endpoints
- Incident response patterns for LLM-specific failures
Outcome
Instrument a production AI workload with end-to-end telemetry, evaluation, and automated cost controls.
Program Instructor & Mentor
Learn LLMOps With Mian Ahmad Basit
Live mentorship for students in Peshawar and across Pakistan — practical training, not just theory.
Every module pairs structured theory with real, hands-on work — so students in Peshawar leave with skills they've actually practiced, not just watched.
Mian Ahmad Basit
Lead Instructor & Program Architect
At Job Fair Of Pny Trainings
Live sessions, media appearances, and speaking engagements
Media / Talks / Featured
Watch & Learn
Featured talks, sessions, and insights from conferences, podcasts, and tech programs.
Frequently Asked Questions
LLMOps in Peshawar — FAQs
Who is LLMOps for?
Engineers already running LLM apps in production who need observability and cost discipline, not beginners.
Does this cover multi-model deployments?
Yes — token accounting and cost attribution across multiple providers and models are covered.
Is prompt caching provider-specific?
Both Anthropic and OpenAI's caching mechanisms are covered, along with general semantic caching that works across providers.
Is this a standalone course or part of the full program?
This module is drawn from Mian Ahmad Basit's full-length program and can be taken as a focused track or as part of the complete curriculum.
Is this class online or in-person?
Classes run live online, so students anywhere in Pakistan — including this city — can join without relocating.
Lead Magnet Funnel
Apply for LLMOps in Peshawar
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