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Intermediate · 12 weeks
Level 2 — Professional Program
The professional track: machine learning, data engineering, applied AI development, and cloud deployment with MLOps.
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Full course details & curriculum
The professional track: machine learning, data engineering, applied AI development, and cloud deployment with MLOps.
Learning outcomes
- Train and evaluate ML and deep learning models
- Build reliable data pipelines at scale
- Ship computer vision, NLP, and chatbot applications
- Deploy models to Azure, AWS, and Vertex AI with MLOps
Curriculum — module by module
Module 1 — Machine Learning
Core modelling skills with the industry-standard frameworks.
Lessons
- Machine Learning
- Deep Learning
- TensorFlow
- PyTorch
- Model Evaluation
You will be able to
- Build models in TensorFlow and PyTorch
- Evaluate and tune models with the right metrics
Module 2 — Data Engineering
Move, model, and scale the data that powers AI systems.
Lessons
- SQL Advanced
- ETL / ELT
- Data Warehousing
- Apache Spark
- PySpark
- Data Pipelines
You will be able to
- Design ETL/ELT flows into a data warehouse
- Process large datasets with Spark and PySpark
Module 3 — AI Development
Turn models into applications people actually use.
Lessons
- AI Automation
- Computer Vision
- Natural Language Processing
- AI Chatbots
- AI Web Development
You will be able to
- Build vision and NLP features end to end
- Ship AI chatbots and AI-powered web apps
Module 4 — Cloud & Deployment
Run AI in production on any major cloud.
Lessons
- Azure AI
- AWS AI
- Google Vertex AI
- Docker
- Kubernetes
- MLOps
- FastAPI
You will be able to
- Containerise and orchestrate AI services
- Operate models with MLOps practices and FastAPI endpoints