Full Stack AI with Internship
The most complete AI engineer training we offer. Master data pipelines, ML/DL, APIs, frontends, MLOps and cloud deployment — then complete a 1–3 month internship shipping a real AI product end-to-end at a partner company.
The most complete AI engineer training we offer. Master data pipelines, ML/DL, APIs, frontends, MLOps and cloud deployment — then complete a 1–3 month internship shipping a real AI product end-to-end at a partner company.
Syllabus
- Data Pipelines
- ML & Deep Learning
- API Development
- Frontend Integration
- MLOps
- Cloud Deployment
- Internship Project
- Placement Prep
What you will learn
- Ship complete AI products solo
- Implement MLOps best practices
- Deploy to AWS or GCP
- Demonstrate real shipping experience
Tools you will use
- Python
- FastAPI
- React
- Docker
- AWS / GCP
- MLflow
Projects
- Production AI product at partner
- Cloud-deployed model with monitoring
- Frontend AI interface
- Recommendation letter
Career paths
- Full Stack AI Developer
- MLOps Engineer
- AI Product Engineer
- Founding AI Engineer
Who should join
- Full stack developers
- AI learners going to production
- Startup builders
Prerequisites
- Graduate or final-year student
- Commitment to attend full program
- Basic computer skills
Certificate
Course Completion Certificate + Internship Experience Letter from partner companies.
Syllabus
- Data Pipelines
- ML & Deep Learning
- API Development
- Frontend Integration
- MLOps
- Cloud Deployment
- Internship Project
- Placement Prep
Learning outcomes
- Ship complete AI products solo
- Implement MLOps best practices
- Deploy to AWS or GCP
- Demonstrate real shipping experience
Tools
- Python
- FastAPI
- React
- Docker
- AWS / GCP
- MLflow
Projects
- Production AI product at partner
- Cloud-deployed model with monitoring
- Frontend AI interface
- Recommendation letter
Career paths
- Full Stack AI Developer
- MLOps Engineer
- AI Product Engineer
- Founding AI Engineer
Who should join
- Full stack developers
- AI learners going to production
- Startup builders
Prerequisites
- Graduate or final-year student
- Commitment to attend full program
- Basic computer skills
Frequently asked questions
Is cloud deployment covered?
Yes — you will learn to deploy AI models on AWS or GCP during the internship.
What roles can I apply for after finishing?
Common target roles are: Full Stack AI Developer; MLOps Engineer; AI Product Engineer; Founding AI Engineer. Placement support covers resume building, mock interviews and referrals.
Which tools and technologies will I actually use?
You work hands-on with Python, FastAPI, React, Docker, AWS / GCP and MLflow throughout the course, rather than only studying them in theory.