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Ilmora
Launching 1 Dec

Build AI Agents with LLMs & Python

Design tool-using assistants, RAG pipelines and multi-step agents that work reliably in production.

Pre-enrolment open · launches 1 December 2026 3,860 pre-enrolled

Created by Dr. Hassan Ali

  • Updated October 2026
  • English
  • Advanced
  • 28 hours · 164 lectures
  • Certificate included

Launch price · pre-enrol

PKR 3,499PKR 4,99930% off

Launches Tue, 1 December 2026

--d--h--m--s

Pre-enrolled learners lock in this price and get the first module a week early.

30-day money-back guarantee · Secure card payment via Safepay

This course includes

  • 28 hours on-demand video
  • 14 downloadable resources
  • 3 quizzes & assignments
  • Access on mobile, laptop and TV
  • Full lifetime access
  • Certificate of completion

What you’ll learn

  • Call LLM APIs with structured outputs and robust error handling
  • Build retrieval-augmented generation over Urdu and English documents
  • Give models tools: search, databases, calculators and your own APIs
  • Design multi-step agents with planning, memory and guardrails
  • Evaluate agent quality with automated test suites
  • Ship a customer-support agent with human hand-off

Course content

4 sections · 164 lectures · 28h total length

3 lessons · 52 min

  • 11:30
  • 22:15
  • Prompt design for systems, not chats18:40

4 lessons · 2h 24m

  • Embeddings and vector search21:10
  • Chunking strategies for Urdu & English17:45
  • Citations and answer grounding15:20
  • Project: Policy document assistant90:00

4 lessons · 1h 37m

  • Tool use and function calling24:30
  • Planning loops and memory26:15
  • Project: SQL analyst agent29:40
  • Guardrails and permissioning16:05

5 lessons · 4h 2m

  • Building eval suites20:30
  • Tracing, cost and latency15:50
  • Human hand-off and escalation design13:20
  • Capstone: Customer-support agent180:00
  • Quiz: Agent design trade-offs12:00

Section outlines list the key lessons (8h 55m shown). The full syllabus of 164 lectures unlocks on enrolment.

Requirements

  • Intermediate Python, including classes and async
  • Familiarity with REST APIs and JSON
  • An API key for at least one LLM provider (free tiers are enough to start)

Description

Chatbots were 2023. In 2026 companies want agents: systems that read documents, call tools, take actions and know when to ask a human. This advanced course teaches the engineering behind them, with an emphasis on reliability rather than flashy demos.

You will build three systems end to end — a policy-document assistant using RAG, a data analyst agent that writes and runs SQL, and a customer-support agent with escalation — and you'll learn how to test, monitor and cost-control each one.

Pre-enrolled students get early access to the first two modules and a live build session with Dr. Hassan in launch week.

Who this course is for

  • Experienced learners ready for demanding, exam- or job-level NLP work
  • Students and professionals who want to apply AI to real Pakistani business problems
  • Anyone who wants a verifiable certificate to add to their CV or LinkedIn profile

Your instructor

Dr. Hassan Ali

AI Researcher & Associate Professor of Computer Science

Rating
4.9
Learners
128.7k
Courses
3

Dr. Hassan completed his PhD in machine learning and now splits his time between university teaching and consulting for local companies adopting AI. He has supervised over forty final-year projects in NLP and computer vision. His courses favour intuition first, maths second, and working code always.

Machine LearningGenerative AILLM ApplicationsDeep LearningPython

Learner reviews

Reviews open after launch

This course launches on 1 December 2026. 3.9k learners have already pre-enrolled at the launch price.

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