Lead Instructor: Mian Ahmad Basit — Islamabad
RAG Systems in Islamabad
Build production retrieval-augmented generation with hybrid search, reranking, and GraphRAG.
As Islamabad's tech talent pool grows, demand for engineers who can ship production AI systems — not just prototypes — is rising fast.
Islamabad
Live cohort location
Live Weekly Classes
Practical, hands-on sessions
Certification
On completion
Freelance-Ready
Practical project focus
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Curriculum Breakdown
RAG Systems — What You'll Learn in Islamabad
Move past vanilla RAG into the architectures production teams actually use — hybrid dense/sparse retrieval, self-correcting pipelines, multimodal document understanding, knowledge-graph-backed retrieval, and the security layer enterprise RAG needs. As Islamabad's tech talent pool grows, demand for engineers who can ship production AI systems — not just prototypes — is rising fast.
Module 01
Retrieval Frameworks
- LangChain and LlamaIndex production retrieval pipelines
- Document loaders, chunking strategies, and text splitters
- Qdrant, Pinecone, and PGVector vector store integration
- Metadata filtering and hybrid search
- Query engines and response synthesis
Module 02
Advanced Retrieval Architectures
- Hybrid dense + sparse retrieval with Reciprocal Rank Fusion
- Query rewriting, HyDE, and sub-query decomposition
- Self-RAG, Corrective RAG, and Adaptive RAG
- Cross-encoder reranking with Cohere and BGE-Reranker
- RAG evaluation: faithfulness, context precision, and recall
Module 03
Multimodal, Graph & Security
- ColPali visual page retrieval for document RAG
- Neo4j GraphRAG and knowledge graph construction
- Semantic caching with Redis and GPTCache
- PII masking and prompt injection defense in retrieval
- Retrieval-interface security for multi-tenant systems
Outcome
Ship a secure, evaluated, production-grade RAG system, not a demo notebook.
Program Instructor & Mentor
Learn RAG Systems With Mian Ahmad Basit
Live mentorship for students in Islamabad and across Pakistan — practical training, not just theory.
Every module pairs structured theory with real, hands-on work — so students in Islamabad 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
RAG Systems in Islamabad — FAQs
Which vector databases are covered?
Qdrant, Pinecone, and PGVector, along with hybrid search patterns that work across all three.
Does this cover document parsing for PDFs and scanned files?
Yes — multimodal document RAG including OCR, layout detection, and tools like LlamaParse and Docling are covered.
Is GraphRAG included?
Yes — Neo4j-based GraphRAG and knowledge graph construction are a full topic group.
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.
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