Main course
AI Software Engineer
For: Beginners → job-ready AI developer
Python, React, FastAPI, LLMs, RAG, agents, Docker, and AWS — build full-stack AI products.
Highlights
- Python & DSA basics
- React + FastAPI
- LLMs & RAG
- AI Agents
- Docker & AWS
- Portfolio projects
- 5 phases · October main batch
- Mode: Offline + Live sessions
- Scholarship: Up to 100%
Full curriculum
PDF brochure
Specialization
AI Data Engineer
For: Data + backend + AI pipelines
ETL, Spark, warehousing, and vector data layers that power production RAG systems.
Phase 5 focus
- ETL pipelines
- Spark basics
- Data warehousing
- Vector ingestion
- Pipeline monitoring
- After shared Phases 1–4
- Mode: Offline + Live sessions
- Scholarship: Up to 100%
Full curriculum
Specialization
AI Cloud & DevOps Engineer
For: Deployment + cloud + infrastructure
Docker, CI/CD, AWS, Kubernetes — deploy and scale AI services reliably.
Phase 5 focus
- Kubernetes
- Advanced cloud
- Scaling systems
- CI/CD for AI
- Monitoring & uptime
- After shared Phases 1–4
- Mode: Offline + Live sessions
- Scholarship: Up to 100%
Full curriculum
Specialization
Enterprise AI Engineer
For: AI + real company solutions + client work
Forward-deployed engineering — CRM/ERP integrations, client requirements, production rollouts.
Phase 5 focus
- Client requirements
- API integrations
- CRM/ERP AI systems
- Enterprise RAG
- Rollout playbooks
- After shared Phases 1–4
- Mode: Offline + Live sessions
- Scholarship: Up to 100%
Full curriculum