Now accepting a limited number of private 1-on-1 clients for 2026.
Career Programs 4 Months Intermediate Live · 1-on-1

AI Engineering Bootcamp

Intensive bootcamp to become an AI Engineer. Build, deploy and maintain production AI systems. Covers MLOps, cloud, LLM engineering, and enterprise AI.

4.8 (18 reviews) Taught one-to-one Certificate on completion

For those who want to build AI systems at scale. This 4-month intensive bootcamp focuses on the engineering side: building robust, scalable, production-grade AI applications.

With 64 live Zoom sessions (4 days/week, 90 min each), you will master MLOps, cloud infrastructure, LLM engineering, API development, model serving, and enterprise AI patterns. Perfect for software engineers transitioning into AI roles.

  • ML system design patterns
  • Data pipelines & ETL
  • Feature stores & feature engineering
  • Model training at scale
  • Experiment tracking with MLflow
  • Version control for ML

  • LLM API integration at scale
  • RAG architecture patterns
  • Agent systems & orchestration
  • Fine-tuning LLMs (LoRA, QLoRA)
  • Prompt management systems
  • LLM evaluation & testing

  • ML pipelines: MLflow, Kubeflow
  • Model versioning & registry
  • A/B testing models in production
  • Docker & Kubernetes for ML
  • GPU infrastructure management
  • Monitoring, alerting & observability

  • AWS SageMaker deep dive
  • GCP Vertex AI
  • AI microservices architecture
  • Security, compliance & governance
  • Scaling AI systems
  • Capstone: production AI system

What You'll Learn

  • Design and build production-grade AI systems
  • Implement end-to-end MLOps pipelines
  • Deploy and serve models on AWS/GCP
  • Build enterprise-grade LLM applications
  • Master Docker, Kubernetes, and cloud AI services
  • Scale AI systems for real-world traffic

Tools & Technologies You'll Master

Python
Docker
Kubernetes
AWS SageMaker
GCP Vertex AI
MLflow
FastAPI
LangChain
Terraform

Software engineers with 1+ years experience who want to transition into AI engineering. You should know Python and have basic ML understanding.

Live Zoom classes, Monday to Thursday, 7:00 PM to 8:30 PM IST. 4 days per week, 90 minutes each session.

Ready to build with AI?

Request a private consultation. We'll discuss your goals and your company, agree a schedule, and pair you with your trainer, Christina Pradhan Mitra. Places are limited — every seat is one-to-one.

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