Become an AI Engineer in 12 Months
A premium, career-focused fellowship by Codenetix for experienced developers and IT professionals who want to build and deploy real-world AI systems using Azure, LLMs, and modern cloud tools.
Designed for serious professionals who want to move beyond theory and build production‑grade AI systems: enterprise copilots, RAG platforms, automation agents, and Azure‑native AI solutions.
A 12‑Month Applied AI Engineer Path
The fellowship blends structured training, real‑world projects, and an extended internship so participants graduate as job‑ready AI Implementation Engineers.
AI Foundations
- Python for AI, NumPy, Pandas
- ML basics, model evaluation
- Probability & statistics
ML Engineering
- Scikit‑learn pipelines
- Deep learning fundamentals
- Fraud, churn, recommender projects
Generative AI Systems
- LLMs, embeddings, prompt design
- RAG architectures & vector DBs
- LangChain, agents, Azure OpenAI
AI Application Development
- FastAPI backends & AI APIs
- React‑based AI chat interfaces
- End‑to‑end AI product workflows
Production AI Systems
- Azure cloud infrastructure
- CI/CD and AI deployment
- Monitoring, observability, scaling
Capstone & Internship
- Production‑grade capstone projects
- Internship with Codenetix & partners
- Performance‑based full‑time opportunities
Designed for serious career transition
The fellowship is built for developers, cloud and DevOps engineers, and IT professionals who want to move into hands‑on AI Engineering & AI Implementation roles.
Investment & ROI
The program fee is positioned as a premium, career‑focused investment for working professionals who are serious about transitioning into AI.
Includes 6 months of intensive training, 6+ months internship / residency, project portfolio, and career transition support.
Typical AI engineering roles in India range from ₹8L – ₹25L+ depending on prior experience and company.
View Admissions & Selection