Engineering
Advanced
Senior Level AI Engineering
Advanced AI engineering skills for building production-ready systems, including distributed training, model optimization, and enterprise deployment.
4-6 months
Advanced Level
Self-paced
Curriculum
Module 1
Advanced ML Architectures
4 weeks
Module 2
Distributed Training Systems
3 weeks
Module 3
Model Optimization & Compression
3 weeks
Module 4
Production MLOps & Monitoring
4 weeks
Module 5
Enterprise AI Solutions
4 weeks
What You'll Learn
- Advanced ML Architectures
- Distributed Training Systems
- Model Optimization & Compression
- Production MLOps & Monitoring
- Enterprise AI Solutions
Learning Outcomes
- Design and implement production AI systems
- Optimize models for performance and cost
- Build scalable MLOps pipelines
- Lead AI engineering teams
Prerequisites
- 2+ years of software engineering experience
- Strong Python programming skills
- Understanding of machine learning fundamentals
- Experience with cloud platforms (AWS, GCP, or Azure)
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