FREE · COMPLETEFree / Technicaldeveloper

AI Infrastructure & Local LLMs

Evaluate hardware, benchmark local models, optimize memory safely, and deploy a protected inference service with measured limits.

24

lessons

8

modules

16 hours

incl. practice

~4 wks

typical pace

Every declared lesson is published · all 24

Published lessons have public URLs. Start without an account; sign in later if you want progress synced across devices.

Before you start

Ye course tumse kya expect karta hai

WHO IT'S FOR

Developers and technical learners building, testing, and reviewing practical AI or automation systems.

PREREQUISITES

Comfort reading basic code and using a terminal. Check the listed tools; no specific paid subscription is assumed.

STUDY PLAN

About 4 weeks at three short sessions per week: learn, apply, then review. Practice and capstone time are included.

PAKISTAN CONTEXT

Projects favour low-cost tooling, careful data handling, and workflows resilient to local power and connectivity constraints.

TOOLSOllamaCUDALocal LLMs

Curriculum

8 modules · 24 lessons

All published ✓

Outcomes

Kya kar paoge

  • Choose local, cloud, or hybrid inference from task quality, privacy, reliability, and full cost evidence
  • Install a pinned open-weight model locally and document provenance, terms, hardware use, and limits
  • Benchmark latency, throughput, quality, memory, and thermals across controlled model configurations
  • Diagnose CUDA, context, concurrency, offload, multi-GPU, cache, and out-of-memory trade-offs safely
  • Deploy a protected local inference API with identity, limits, observability, recovery, and handoff

Assessment: Complete the lesson exercises and capstone, then review the work for accuracy, safety, and fit. Completion is not an income or job guarantee.

Capstone

A pinned local inference service with a protected API, workload evaluation, load/recovery evidence, dated cost model, and second-operator runbook.

  • Names the user, problem, scope, and acceptance test
  • Identifies sources, permissions, and unknowns
  • Includes the actual deliverable, not only screenshots
  • Tests one normal and one failure case
  • Records risks, limits, cost, and human review
  • Explains what changed, what worked, and what comes next
CERTIFICATE

Complete every published lesson and capstone, then request manual review. Issued certificates receive a unique ID for /verify. This is not accreditation and does not promise a job or income.

Keep building

Ek lesson, ek useful output. Phir agla qadam.