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Career Programs 4 Months Intermediate Live on Zoom

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) 85+ enrolled Certificate included

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.

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