Mentor-led · Applied Data Science & AI
Mentor-led Applied Data Science & AI
Mentor-led means the work you do here is the work Magnimind mentors set, review and grade: 7 advanced modules, 43 lessons, reviewed practice and the Applied Professional Certificate. Study at your own pace, cancel whenever you like.
Pricing
Two separate charges, and nothing else
The monthly membership gives you the learning. The exam seat is a one-time charge you only pay when you are ready to be certified.
1 · Membership — recurring
$20 / month
Cancel any time. No exam included.
- Every advanced module: machine learning, deep learning, LLMs, NLP, data engineering, big data and MLOps
- The full Applied Data Science & AI Professional Certificate when you finish
- Reviewed practice, quizzes and the AI Python tutor across the advanced track
- Cancel any time — access runs to the end of the period you paid for
2 · Exam seating — one time
$250 per seat
Then $100 for each extra sitting.
- Your seat covers three sittings: the first attempt plus two retakes
- Extra sittings after that are $100 each, added whenever you need one
- Sittings are graded server-side and never expire
- Optional — buy it only when you want the verified credential
What unlocks
Modules included in the membership
Module 07
Data exploration and feature engineering
Variable types, missing values, outliers, univariate and bivariate analysis, transformations, feature selection and PCA — the longest course in the bootcamp.
9 lessons
Module 08
Machine learning
Supervised and unsupervised methods with validation you can defend: leakage-free pipelines, honest metrics, and calibrated thresholds.
4 lessons
Module 09
Deep learning and LLMs
Neural network fundamentals, transfer learning, transformers, and building retrieval-augmented applications on top of large language models.
4 lessons
Module 10
Natural language processing
Tokenisation with NLTK, regular expressions, bag of words, word2vec, sentiment analysis, Markov chains and a first chatbot.
9 lessons
Module 11
Data engineering
Pipelines, warehouse modelling, orchestration and data quality — how raw events become tables a model can trust.
4 lessons
Module 12
Big data with Spark
Spark DataFrames, distributed preprocessing, feature engineering at scale, model training, tuning with k-fold cross-validation and grid search.
9 lessons
Module 13
MLOps and deployment
Packaging a model behind an API, tracking experiments, monitoring drift, and the product work that turns a notebook into something people use.
4 lessons
Credentials
Two programs, two separate certificates
Program 1 · Free
Data Science Essentials Certificate
- Six free modules up to SQL for analytics
- Quizzes, badges and progress tracking
- Downloadable, publicly verifiable PDF
Program 2 · Upgrade
Applied Data Science & AI Professional Certificate
- Machine learning, deep learning, LLMs, MLOps
- Included with the membership — no extra charge for the certificate
- Verified version requires the certification exam seat above
Pricing FAQ