28 free, hands-on courses from ABCL TECH — the technology education platform I founded — spanning core programming and CS fundamentals through AI, machine learning, and data.
Fifteen courses from first principles to production, on ABCL TECH.
Web fundamentals to responsive mastery.
First principles to systems mastery.
First principles to modern mastery.
First principles to production.
First principles to enterprise production.
First principles to full-stack mastery.
From first principles to mastery.
All engines, from first principles to production.
Logic, sets, graphs & number theory for CS.
Scalability to real-world case studies.
Network security to CTF practice.
Terraform, Docker, Kubernetes & CI/CD.
OSI/TCP-IP, routing, TCP/UDP & sockets.
Processes, scheduling, memory & file systems.
Logic gates, CPU design & pipelining.
A 13-course path from AI foundations to production MLOps, on ABCL TECH.
What AI is, where it came from, and where it's used — math and concepts from zero.
NumPy, Pandas, and Matplotlib — exactly the Python you need for AI work.
Linear regression to XGBoost and SVMs — classical ML built from scratch.
Neural networks, backpropagation, CNNs, RNNs & Transformers with PyTorch.
Tokenization to BERT, GPT, and RAG, with a dedicated Bangla-language track.
Pixels to CNNs, YOLO, segmentation, and Vision Transformers.
Diffusion, GANs, and VAEs — from Stable Diffusion to ChatGPT.
MDPs and the Bellman equation to DQN, PPO, and RLHF.
SQL, statistics, EDA, and A/B testing — from data to decisions.
ETL, Airflow, Spark, and Kafka — reliable data pipelines for AI.
MLflow, DVC, CI/CD, and drift detection — models into production.
Official Claude, GPT, and Gemini guidelines for clear, effective prompting.
Linear algebra, calculus, backpropagation, probability & statistics.