Lead Instructor: Mian Ahmad Basit — Sialkot
Computer Vision & VLMs in Sialkot
Vision Transformers, CLIP, and Visual Language Models like LLaVA and Qwen-2-VL.
Remote AI engineering roles don't care where you're based — Sialkot-based engineers with real production skills can compete globally.
Sialkot
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 Sialkot
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. Remote AI engineering roles don't care where you're based — Sialkot-based engineers with real production skills can compete globally.
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 Sialkot and across Pakistan — practical training, not just theory.
Every module pairs structured theory with real, hands-on work — so students in Sialkot 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
Computer Vision & VLMs in Sialkot — 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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