Our Programs

Select your specialized Fellowship pathway and master advanced machine learning, applied product integration, or growth analytics.

Deep Tech Track

AI & Machine Learning Fellowship

The **AI & Machine Learning Fellowship** is an elite, intensive 6 months technical programme designed specifically for advanced undergraduate and graduate computer science students in Bangladesh looking to build high-performance neural networks.

Under the guidance of European machine learning practitioners, you will dive into neural network mathematics, build custom models in PyTorch from scratch, and tackle specialized Natural Language Processing (NLP) challenges geared toward regional Bangla dialects and corpus refining.

Who should apply:

  • Computer Science, Engineering, or Math undergraduates (freshmen to grads) at BUET, DU, and other leading Bangladeshi engineering colleges.
  • Strong foundations in Python, linear algebra, calculus, and basic machine learning concepts.
  • A strong drive to research, design, and train custom deep learning models.
Apply for AI & ML Track

6

Month Intensive Programme

Master neural network mathematics, build custom PyTorch architectures from scratch, and specialize in Bangla NLP research under expert global mentors.

5+

AI Frameworks & APIs Mastered

From LLM APIs and vector databases to RAG architectures — ship production-ready, full-stack AI-powered apps in just 6 months.

Applied Engineering Track

AI Product Fellowship

The **AI Product Fellowship** is built for software developers and creative engineers who want to learn how to build, scale, and ship robust AI-powered software systems.

Skip standard model training mathematics and focus on how to integrate state-of-the-art APIs, configure Large Language Models, build prompt workflows, query semantic vector databases, and deploy glowing, high-performance web dashboards that users love.

Apply for AI Product Track
Growth & Business Track

AI & ML Marketing Fellowship

The **AI & ML Marketing Fellowship** bridges the gap between machine learning intelligence and quantitative business growth, designed for future commercial leaders in Bangladesh.

Discover how to build automated pipelines, analyze customer behavior with pre-trained sentiment NLP models, structure predictive market forecasting, and configure automated data-driven campaigns. No advanced software coding background is required.

Apply for Marketing Track

92%

Placement & Recruitment Rate

of our Fellowship graduates secure high-paying remote internships or permanent developer roles with global sponsors within 12 months.

Queries

Frequently Asked Questions

Is there any tuition or cost associated with these fellowships?

No. Absolute accessibility is our core commitment. All three AI4BD Fellowship tracks—including server instances, custom GPU allocations, study guides, and professional review sessions—are 100% free of charge. Sponsoring VCs and global tech partners cover all hardware and cloud costs.

Who is eligible to apply for the AI4BD Fellowships?

Applicants must be undergraduate or early-career students based in Bangladesh. While the **AI & ML** and **AI Product** tracks require basic programming foundations (Python, JS, C++, or data analytics), the **AI & ML Marketing** track is open to business, economics, and creative students who want to specialize in automated customer analytics and business intelligence pipelines.

Can I apply to multiple Fellowship tracks?

Yes. You can indicate your interest in multiple tracks inside the application portal. However, due to the rigorous, high-performance nature of the 6 months syllabus, accepted students can only enroll in a single track per cohort to ensure they can fully focus on their capstone projects and mentor review sessions.

How do corporate sponsors and VCs recruit from these Fellowships?

Corporate partners and venture capitals sponsor entire student cohorts or specific cloud hardware server nodes. In return, they get direct, continuous access to our Sponsoring Talent Dashboard where they can inspect student capstone repositories, view live progress logs, and conduct priority recruitment matching ahead of Demo Day.