Coming soon, join the waitlist
Data Science and AI/ML
From Python and statistics to machine learning and GenAI apps.
- Trainer
- To be announced
- Duration
- To be announced
- Mode
- Live online, instructor-led
- Demo timing
- To be announced
About this course
A practical path into data science and AI. Clean and explore data, build and evaluate models, deploy on AWS and create simple GenAI applications on top of your own data.
Pythonpandasscikit-learnAmazon SageMakerLLMsVector search
Who this is for
- Graduates who want to start a career in data science
- Data engineers moving towards ML and AI work
- Developers who want to build GenAI features with real data
What you will be able to do
- Explore and clean data with Python and pandas
- Train and evaluate machine learning models
- Deploy a model on AWS
- Build a GenAI app that answers questions from your own documents
Syllabus
- 1
Python for data
- pandas and NumPy
- Visual exploration
- 2
Statistics that matter
- Distributions and sampling
- Testing ideas with data
- 3
Machine learning
- Regression and classification
- Model evaluation
- 4
ML on AWS
- SageMaker basics
- Serving predictions
- 5
GenAI applications
- LLM basics and prompting
- Retrieval over your own data
Projects you will build
Project 1
Churn prediction
Predict which customers may leave and explain why, from raw data to a deployed model.
Questions about this course
When does this batch start?
Dates will be announced soon. Join the waitlist to get the schedule first.
Other courses
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Book the free live demo or WhatsApp us. We will suggest the right path for your background and goal.