Academy · Five levels
Learn Artificial intelligence
Learn AI as engineering, not magic: data, models, evaluation and responsible use. This road starts with the concepts and, across five levels, reaches building and deploying systems on language models.
The road: five levels to mastery
Each level is a course closed by a project; each level passed carries its own Mashaal medal. Start wherever you are.
Level 1 · Beginner · Spark medal
AI for beginners
What AI is and is not, data and machine learning in plain words, Python for AI, and using the tools well and responsibly.
- Concepts
- Data
- A first model
- Using AI
- The level project
Syllabus ready; lessons on the way10 lessons in the syllabusSee the courseLevel 2 · Intermediate · Ember medal
Applied machine learning
NumPy and pandas, regression and classification, evaluation and validation, and scikit-learn on real problems.
- Tools
- Models
- Evaluation
- The level project
Syllabus ready; lessons on the way8 lessons in the syllabusSee the courseLevel 3 · Professional · Flame medal
Deep learning
Neural networks, PyTorch, computer vision, language processing and transformers.
- Neural networks
- PyTorch
- Computer vision
- Language
- The level project
Syllabus ready; lessons on the way8 lessons in the syllabusSee the courseLevel 4 · Master & Senior · Brazier medal
Language models and MLOps
Working with language models, retrieval-augmented generation, fine-tuning, evaluation, and deploying and monitoring models in production.
- Language models
- Systems
- MLOps
- The level project
Syllabus ready; lessons on the way7 lessons in the syllabusSee the courseLevel 5 · Grandmaster · Torch medal
AI grandmaster
Reading and reproducing research, leading an AI team, ethics and governance, and teaching.
- Research
- Leadership
- Capstone
Syllabus ready; lessons on the way5 lessons in the syllabusSee the course
