30% scholarship: pay ৳28,000 instead of ৳40,000. Ends in 4d 00:00:00 See price
Advanced Machine IntelligenceResearch Academy
Enroll now
AI, ML & Research Bootcamp · Starts late Nov 2026

Go from zero to a publication-ready AI/ML research paper in 6 months.

A hands-on research bootcamp guided by a Top 2% scientist and a PhD researcher in Sweden. Pick a problem, build the dataset, train your own model, write the paper in LaTeX, and prepare it for a real journal.

  • 6 months
  • 24 live classes
  • 12 research modules
  • 1 research paper target
৳28,000 ৳40,000 30% scholarship

Start with just ৳8,000. Pay the rest in 2 installments.

Scholarship price ends 22 October

Prof. Dr. M. Firoz Mridha
Md. Mohsin Kabir
TOP 2%SCIENTISTS Prof. Dr. M. Firoz Mridha Professor, Computer Science, AIUB
350+ publications
Md. Mohsin Kabir PhD in CS, Mälardalen University, Sweden
Top 2% ScientistsYour two mentors
Prof. Dr. M. Firoz Mridha
Prof. Dr. M. Firoz MridhaProfessor, AIUB · 350+ papers
Md. Mohsin Kabir
Md. Mohsin KabirPhD Researcher, Sweden · 64+ papers
Top 2%Scientists worldwide (Stanford/Elsevier list)
400+Research papers published by your mentors
15,000+Citations across their research
40+Alumni from the 2025 batch
Why this bootcamp

A good CGPA and IELTS score are not enough anymore.

Funded MS and PhD offers, research jobs and AI roles go to people who can show real research. Most students get stuck at the same three walls.

“My CV has zero research on it.”

Professors abroad look for students who already know how research works. Without a paper, your application looks like everyone else's.

“I read papers, but I can't find a research gap.”

Reading papers is one skill. Turning them into a novel idea, a dataset and a working model is a completely different one.

“Nobody has time to guide me.”

University faculty are busy, and YouTube can't review your code, your results or your manuscript.

This bootcamp fixes all three. In one live class every week, you build one complete research project step by step, with feedback from mentors who publish for a living.

Built for you if you are:

A CS, EEE or Data Science studentwho wants a funded Master's or PhD abroad and needs research on the CV.
An MSc student or junior faculty memberwho needs stronger methodology and better papers that pass peer review.
A developer moving into AIwho wants real model-building experience, not another certificate course.

Not for you if you:

  • want a shortcut or a paper written for you
  • expect AI tools to write your manuscript
  • can't commit to one class and one assignment every week
What you walk away with

Build a research profile, not just a course certificate.

01+ Research output

Your own research paper

Students who properly complete the research work and deliverables are guided toward at least one research paper, through the full research-to-publication workflow.

AMIR Lab

Research Internship Certificate

Every student who successfully completes the bootcamp receives an AMIR Lab Research Internship Certificate.

Academic profile

Letter of Recommendation

Documented research work that can support an LOR, based on your contribution and performance.

Higher studies

SOP Support

Guidance on presenting your research, academic goals and study direction in your Statement of Purpose.

Publication support

APC / Publication Fee Support

Selected high-quality projects may receive APC support from AMIR Lab.

Subject to research quality, target venue and AMIR Lab approval.

Performance-based pathway

Perform well. Go further with an AMIR Lab Research Assistantship.

Students who show strong research performance, technical ability and consistency may be considered for an AMIR Lab RA role.

BootcampLearn and build
ResearchDeliver quality work
PerformanceStand out
AMIR Lab RANext step
How it works

From research question to publication, in 10 steps.

You follow the real workflow of AI/ML research. Each step builds on the last, so by the end you have one complete project.

  1. ProblemPick a focused research problem and question
  2. LiteratureRead and compare papers with a literature matrix
  3. Research gapFind what's missing and where your novelty is
  4. DatasetCollect, clean, annotate and audit your data
  5. BaselineBuild credible baseline models to beat
  6. Proposed modelDesign and code your own architecture
  7. ExperimentsComparisons, ablations and GPU runs
  8. EvaluationThe right metrics, validation and error analysis
  9. WritingWrite the full manuscript in LaTeX (Overleaf)
  10. PublicationChoose the right journal and submit
Every class ends with an assignment and a real research deliverable. No passive lectures.
Bonus · Early Access

Start now. Don't wait until late November.

Pay your first installment before November 2026 and unlock Early Access during October and November, before the full bootcamp begins.

Unlock with 1st Installment Available October to November 2026
01

Expert Talks

Learn from researchers, academics and experienced professionals.

02

Research Guidelines

Start understanding research interests, papers and research pathways.

03

Higher Studies

Begin preparing for academic pathways and higher-study planning.

04

Research Q&A

Ask questions and get guidance before the full programme begins.

05

Basic Coding

Build the beginner-friendly coding foundation needed for AI/ML research.

06

AI/ML Orientation

Get familiar with the AI/ML research direction before day one.

01 · October 2026Early Registration30% scholarship until 22 Oct
02 · Oct to Nov 2026Early AccessTalks, coding basics, Q&A
03 · Late Nov 2026Full Bootcamp24 live classes begin
Complete curriculum

12 modules. 24 live classes. One research journey.

One live class per week, usually 1.5 to 3 hours. Sessions may run longer when hands-on work needs it. Tap any module to see what's inside.

Phase 1 · Research foundations & technical skills
M01AI/ML Research Foundations & Domain Orientation1 class

Build the research mindset and explore the major AI/ML research domains.

Research lifecycleHypothesis & contributionComputer VisionNLPGenerative AIExplainable AIAI for Healthcare
DeliverableAI/ML Research Direction Brief
M02Literature Review, Research Gap & Ethics2 classes

Investigate existing research and formulate a credible research direction.

Google ScholarThree-pass readingLiterature matrixNoveltyBias & fairnessPublication ethics
DeliverableLiterature Matrix + Research Gap Statement + Ethics Checklist
M03Python, Google Colab, Kaggle & GitHub3 classes

Set up the technical environment for reproducible AI/ML research, starting from the basics.

PythonNumPyPandasMatplotlibColab & Kaggle GPUsGit & GitHub
DeliverableEDA Notebook + GPU Experiment + GitHub Research Repository
M04Data Collection, Processing & Annotation2 classes

Develop reliable datasets that are fit for AI/ML research.

Dataset designCleaning & preprocessingAnnotationClass imbalanceData leakage
DeliverableResearch Dataset Package + Data Audit Report
M05Machine Learning, Deep Learning & Optimization3 classes

Build strong modeling foundations and learn how to improve generalization.

Baseline modelsCross-validationCNNsTransfer learningDetection & segmentationPyTorchRegularization
DeliverableBaseline Benchmark + Working DL/CV Pipeline + Optimization Report
M06Transformers, Hugging Face & Foundation Models2 classes

Work with modern pretrained, transformer and foundation model workflows.

Self-attentionHugging Face HubLLMsVision foundation modelsFine-tuning & PEFT
DeliverableTransformer Experiment + Foundation Model Evaluation Report
Phase 2 · Your research project to publication
M07Hands-on AI/ML Research Project3 classes

Apply the complete research workflow to your own project.

Research questionsExperimental designPipeline implementationExperiment trackingAblation planning
DeliverableProject Proposal + Working Pipeline + Experiment Package
M08Proposed Model Development2 classes

Turn your research gap into your own proposed method, then build it.

Gap to methodologyArchitecture designFeature fusionAttentionBaseline vs proposed
DeliverableProposed Architecture + Working Proposed Model
M09Model Evaluation & Reliability2 classes

Learn which metrics matter for your problem and evaluate your model rigorously.

F1, ROC-AUC, PR-AUC, MCCMAE, RMSE, R²Statistical significanceCalibrationFailure analysis
DeliverableEvaluation Framework + Reliability Report
M10LaTeX, Scientific Writing & Manuscript2 classes

Write your full research paper yourself, using LaTeX in Overleaf.

OverleafBibTeXIEEE & Elsevier templatesAbstract to conclusionFigures & tables
DeliverableComplete Research Manuscript Draft
M11Publication, Submission & Peer Review1 class

Prepare and submit your research responsibly, and handle reviewer comments.

Q1 to Q4 journalsIndexingPredatory journalsCover letterResponse to reviewers
DeliverablePublication Package + Journal Shortlist
M12Research Career & Academic Profile1 class

Build a lasting research profile and a roadmap for your next steps.

Academic CVResearch statementORCID & Google ScholarPhD preparationResearch internships
DeliverableResearch Career Portfolio + Future Research Roadmap

Students write their own research paper. This program does not include AI-assisted paper writing.

Your mentors

Learn research from people who publish for a living.

Prof. Dr. M. Firoz Mridha
Top 2% Scientists

Prof. Dr. M. Firoz Mridha

Professor, Dept. of Computer Science, AIUB · Founder, AMIR Lab

350+Publications
10,000+Citations
20+Years teaching
  • Listed among the world's Top 2% scientists (Stanford/Elsevier) and Top 0.5% researchers (ScholarGPS 2024)
  • Chair, IEEE Computational Intelligence Society Bangladesh Chapter · IEEE Senior Member
  • Your research and publication mentor: AI, ML, Computer Vision, NLP and LLMs
Md. Mohsin Kabir
Top 2% Scientists

Md. Mohsin Kabir

PhD Researcher, Mälardalen University, Sweden · Chief Executive, AMIR Lab

64+Publications
4,800+Citations
4Countries of research
  • From BUBT to an Erasmus Mundus scholarship (Spain & Hungary) to a PhD in Sweden
  • Former Research Assistant, King Abdulaziz University · Former Lecturer, AIUB and BUBT
  • Your hands-on AI/ML and higher studies mentor: Deep Learning, Computer Vision, Robotics
40+2025 batch alumni

A research track record, not a promise.

More than 40 students came through our 2025 batch. Many of them went on to publish research papers after completing their research journey with AMIR.

Program investment

One fee. Six months. A complete research profile.

Regular fee ৳40,000

৳28,000
30% scholarship · Save ৳12,000
৳8,000To confirm seat
03Installments
06Months
  1. Installment 1৳8,000 to confirm your seat
  2. Installments 2 & 3Remaining ৳20,000 during the bootcamp

Scholarship price ends in:

00Days
00Hours
00Mins
00Secs
Enroll now at ৳28,000 Questions? Talk to us on WhatsApp

Your seat is confirmed once you pay the first ৳8,000.

Everything included

  • 24 live classes, one per week
  • 12 research-focused modules
  • One hands-on AI/ML research project
  • An assignment and deliverable every class
  • Python, Colab, Kaggle and GitHub
  • ML, Deep Learning and Computer Vision
  • Transformers and foundation models
  • Your own proposed model
  • LaTeX and full manuscript development
  • Publication and peer review preparation
  • AMIR Lab Research Internship Certificate
  • LOR and SOP support
  • Possible APC support for selected projects
  • Performance-based AMIR Lab RA pathway
  • Early Access bonus (Oct to Nov 2026)
FAQ

Questions students ask before joining.

I'm a beginner. Can I join?
Yes. The bootcamp is designed for beginners. Python, Colab, Kaggle and GitHub are taught from the basics in Module 3, and the Early Access period includes basic coding before the bootcamp starts. What you need most is curiosity and the commitment to finish your weekly work.
Is a research paper guaranteed?
Honest answer: no one can guarantee acceptance, because journal reviewers make that decision. What we do guarantee is the process. Students who properly complete the research work and deliverables are guided toward at least one research paper, from the first idea to a submission-ready manuscript and the right journal.
Who will supervise my research paper?
Your research is supervised by Prof. Dr. M. Firoz Mridha (Professor, AIUB, Top 2% Scientist, 350+ publications) and Md. Mohsin Kabir (PhD Researcher, Mälardalen University, Sweden). They guide you from choosing the problem to preparing the paper for submission.
Can't I learn this from YouTube for free?
You can learn Python on YouTube. But YouTube won't help you find a research gap, review your experiments, fix your methodology or guide your manuscript to a journal. Here you build one real research project with weekly feedback from a Top 2% scientist and a PhD researcher.
How much time do I need each week?
One live class per week, usually 1.5 to 3 hours, plus time for that week's assignment. Students and working professionals can both manage it if they stay consistent.
I'm from a different background. Can I join, and how will this help me?
Yes. CS, EEE and Data Science students are the most common, but students from other science, engineering and business backgrounds can join too. Coding is taught from the basics, and AI/ML can be applied to almost any field, from healthcare and agriculture to finance. You'll learn to use AI/ML for research problems in your own area, which makes your profile stronger for higher studies and jobs.
I'm still studying, or I graduated years ago. Can I still publish a paper?
Yes. Whether you're in college, at university, recently graduated or graduated years ago, you can do research and publish a paper. What matters is completing the weekly work and deliverables, not when you graduated.
Do I need a powerful laptop, or will you provide equipment?
A regular laptop with a stable internet connection is enough to start. Most experiments run on free Google Colab and Kaggle GPUs, which you learn in Module 3. If your research domain needs more, AMIR Academy is affiliated with AMIR Lab, which can provide the necessary equipment and resources for your domain.
How do the installments work?
The regular fee is ৳40,000. With the current 30% scholarship, you pay ৳28,000 in 3 installments. Pay ৳8,000 first to confirm your seat, then the remaining ৳20,000 in 2 installments. Paying the first installment before November also unlocks Early Access.
When does it start, and until when is the scholarship price?
The full bootcamp starts in late November 2026 and runs for 6 months. The 30% scholarship price of ৳28,000 is available until 22 October. After that, the regular fee of ৳40,000 applies.
Will this help me get a scholarship abroad?
It builds exactly what funded programs look for: real research experience, a manuscript, a Research Internship Certificate, and support for your LOR and SOP. Md. Mohsin Kabir took this path himself, from BUBT to Erasmus Mundus to a PhD in Sweden. Admission decisions are always made by the universities.
Will AI write my paper?
No. You write your own paper. The program teaches scientific writing and LaTeX, and it does not include AI-assisted paper writing. That is what makes your research truly yours.
What do I get when I finish?
Your research project and manuscript, an AMIR Lab Research Internship Certificate, LOR and SOP support, and possible APC support for selected projects. After publishing your research paper, you can join AMIR Lab as a Research Assistant (RA), based on your performance.
How do I enroll?
Tap any Enroll now button. You'll sign in or create a free account on amir.ac and complete your enrollment there. If you get stuck, message us on WhatsApp and we'll help you.

Research. Build. Evaluate. Publish.

Start your research journey now with a 30% scholarship. Confirm your seat with just ৳8,000.

12 modules · 24 classes · 6 months · Starts late Nov 2026

৳28,000৳40,00030% scholarship · ends 22 Oct
Enroll now