Lead Instructor: Mian Ahmad Basit — Islamabad
Computer Vision & VLMs in Islamabad
Vision Transformers, CLIP, and Visual Language Models like LLaVA and Qwen-2-VL.
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
Computer Vision & VLMs — What You'll Learn in Islamabad
Bridge classical computer vision into the multimodal era — Vision Transformer mechanics, contrastive vision-language models like CLIP and SigLIP, and how modern VLMs connect visual encoders to LLM backbones for multimodal reasoning. As Islamabad's tech talent pool grows, demand for engineers who can ship production AI systems — not just prototypes — is rising fast.
Module 01
Vision Transformers
- CNN-to-ViT conceptual bridge and inductive bias
- Patch embeddings, CLS token, and 2D positional encoding
- Visual self-attention and attention map interpretation
- CLIP and SigLIP contrastive vision-language pretraining
- DINO and DINOv2 self-supervised visual encoders
Module 02
Visual Language Models
- VLM architecture: encoder, projector, and LLM backbone
- LLaVA and Qwen-2-VL architecture walkthroughs
- MLP projectors and cross-attention aligners
- Vision-language feature space alignment
- Visual grounding for object and region understanding
Module 03
Multimodal Applications
- Document and layout understanding with VLMs
- Video and multi-frame document processing
- ColPali visual page retrieval for multimodal RAG
- Gemini Vision and multimodal API integration
- Building a practical visual-question-answering pipeline
Outcome
Explain and build the encoder-projector-LLM pipeline behind modern VLMs.
Program Instructor & Mentor
Learn Computer Vision & VLMs 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
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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
Computer Vision & VLMs in Islamabad — FAQs
Is this only for image classification?
No — the focus is multimodal reasoning, visual grounding, and document/video understanding, not just classification.
Do I need computer vision experience first?
The module bridges from CNN concepts, so basic deep learning familiarity is enough to start.
Does this connect to the RAG module?
Yes — ColPali visual retrieval overlaps with multimodal RAG, and the two modules are designed to complement each other.
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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