Image-classification service
Machine Learning
Intermediate to advanced
Advanced Machine Learning and Deep Learning
Go deep on ensembles, neural architectures, transformers and MLOps with production-grade practice.
- Duration
- 12 weeks
- Level
- Intermediate to advanced
- Format
- Live online
- Next cohort
- 26 Aug 2026
Overview
What this program covers
For learners who already know the basics: advanced modelling, deep learning architectures, and the operational discipline needed to run models in production.
Who it is for
- Data scientists
- ML engineers
- Advanced learners
Learning outcomes
- Tune and ensemble advanced models
- Build CNN, sequence and transformer models
- Operationalise models with MLOps practice
- Monitor models in production
Curriculum
Week-by-week curriculum
Every module pairs a live teaching session with a guided lab and a reviewed deliverable you keep in your portfolio.
Modules
12
Live teaching hours
36 hrs
Guided lab hours
48 hrs
Tools and technologies
Python
PyTorch
TensorFlow
scikit-learn
MLflow
Docker
GitHub Actions
Skills you gain
Deep learning
Transformers
Computer vision
MLOps
Projects
What you will build
Sample projects from this program. Your capstone can be adapted to your own domain.
Demand-forecasting model
Transformer-based text pipeline
Cohorts
Upcoming batches
Open
26 Aug 2026
Weekends, 2 live sessions per week (IST evenings)
Seats12 of 30 left
Open
7 Oct 2026
Weekday evenings, 3 live sessions per week (IST)
Seats26 of 30 left
Mentors
Who teaches this program
SK
Sara Khan
Applied Research Engineer
AI product company
Demo mentor profile. Works on multimodal document understanding and evaluation harnesses for language models.
Multimodal AI
NLP
Evaluation
- Experience
- 7 years
- Programs
- 2
Teaches: Generative AI and LLM Engineering, Advanced Machine Learning and Deep Learning
View profileMB
Madhur Bansal
Lead Data Scientist
Financial services group
Demo mentor profile. Works on production machine-learning systems and model monitoring, with a focus on teaching evaluation discipline.
Machine learning
MLOps
Forecasting
- Experience
- 10 years
- Programs
- 2
Teaches: Advanced Machine Learning and Deep Learning, Artificial Intelligence and Machine Learning Foundations
View profile