Full Stack AI Training
Become the rare engineer who can ship a complete AI product solo. This program covers data engineering, ML/DL modelling, API design, frontend integration and MLOps on the cloud. You'll graduate with three deployed AI products in your portfolio that prove you can take an idea from data to live users.
Become the rare engineer who can ship a complete AI product solo. This program covers data engineering, ML/DL modelling, API design, frontend integration and MLOps on the cloud. You'll graduate with three deployed AI products in your portfolio that prove you can take an idea from data to live users.
Syllabus
- Data Engineering & Pipelines
- ML & DL Modelling
- Model Serving with FastAPI
- React Frontend Integration
- MLOps with MLflow & Docker
- Cloud Deployment (AWS/GCP)
- Monitoring & Retraining
- Capstone AI Product
What you will learn
- Architect production AI systems
- Implement MLOps best practices
- Deploy on AWS or GCP
- Maintain and retrain models
Tools you will use
- Python
- FastAPI
- React
- Docker
- MLflow
- AWS / GCP
- PostgreSQL
Projects
- Image-recognition SaaS
- Document Q&A product with RAG
- Predictive analytics dashboard
- Capstone deployed AI startup MVP
Career paths
- Full Stack AI Developer
- MLOps Engineer
- AI Product Developer
- Founding AI Engineer
Who should join
- Full stack developers
- AI learners going to production
- Startup founders shipping AI
Prerequisites
- Basic Python helpful (we cover from scratch)
- High-school math
- Curiosity for problem-solving
Certificate
AI specialization certificate with deployed real-world AI projects in your portfolio.
Syllabus
- Data Engineering & Pipelines
- ML & DL Modelling
- Model Serving with FastAPI
- React Frontend Integration
- MLOps with MLflow & Docker
- Cloud Deployment (AWS/GCP)
- Monitoring & Retraining
- Capstone AI Product
Learning outcomes
- Architect production AI systems
- Implement MLOps best practices
- Deploy on AWS or GCP
- Maintain and retrain models
Tools
- Python
- FastAPI
- React
- Docker
- MLflow
- AWS / GCP
- PostgreSQL
Projects
- Image-recognition SaaS
- Document Q&A product with RAG
- Predictive analytics dashboard
- Capstone deployed AI startup MVP
Career paths
- Full Stack AI Developer
- MLOps Engineer
- AI Product Developer
- Founding AI Engineer
Who should join
- Full stack developers
- AI learners going to production
- Startup founders shipping AI
Prerequisites
- Basic Python helpful (we cover from scratch)
- High-school math
- Curiosity for problem-solving
Frequently asked questions
How is this different from regular AI training?
It teaches the complete production stack — not just notebooks — so you can actually ship AI products to real users.
Do I build real projects?
Yes. Project work includes: Image-recognition SaaS; Document Q&A product with RAG; Predictive analytics dashboard. All of it goes into your portfolio.
Do I receive a certificate?
ASB Training Hub Course Completion Certificate with a project portfolio.