concept-first learning

All Learning Tracks

Topic tabs · Code examples · Quizzes · Cheatsheets · JupyterLite notebooks

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Live
Machine Learning
The core ML algorithms every engineer must know. Covers linear regression, classification, trees, boosting, SVM, clustering, anomaly detection, time series, and hyperparameter optimization.
sklearn XGBoost Pandas NumPy
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Live
Programming Foundation
Practical programming for data, engineering, and web. Covers Python, SQL, Shell, Excel, C/C++, Perl, and JavaScript — with AI learning prompts for each topic.
Python SQL Bash JavaScript
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Generative AI
Prompt engineering, RAG architecture, fine-tuning with LoRA, embeddings, vector databases, LLM evaluation, HuggingFace, and Kaggle competition workflows.
OpenAI LangChain ChromaDB HuggingFace
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Deep Learning
Neural network basics, CNNs, RNNs and LSTMs, autoencoders, GANs, transformers, multimodal vision-language models, transfer learning, and model compression.
PyTorch TensorFlow YOLO Transformers
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Agentic AI & MCP
How to build agents that plan, use tools, and remember. Covers LangGraph, CrewAI, MCP protocol, OpenAI Assistants API, multi-agent patterns, and safety guardrails.
LangGraph CrewAI MCP OpenAI
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Data Visualisation
EDA with Pandas, Matplotlib, Seaborn, Plotly interactive charts, storytelling with data, and Tableau/Power BI overview.
Pandas Matplotlib Seaborn Plotly
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MLOps & Tools
Airflow orchestration, Spark, MLflow experiment tracking, Kubernetes for ML, SageMaker, Docker containers, and CI/CD pipelines for machine learning models.
Airflow Spark MLflow Docker

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Free cheatsheets for every topic

Download A4 PDF cheatsheets for Python, SQL, ML, Deep Learning, Shell, and more. All openly accessible.

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