AI Engineering Bootcamp
Transform your senior engineers into AI professionals with our intensive, hands-on bootcamp. Focus on production skills, real-world practices, and immediate application.
Why Choose Our Bootcamp
Intensive, practical training focused on production AI development. Transform your existing engineering talent into AI-capable professionals ready to build and deploy AI systems.
Production-First Training
Focus on real-world AI engineering practices, system design, and production deployment. No theoretical fluff, just practical skills.
Customized Learning
Curriculum adapted to your team's tech stack and use cases. Work on projects directly relevant to your business needs.
Senior Expertise
Learn from engineers who've built and deployed AI systems at scale. Get insights from real production experience.
Immediate Application
Engineers start applying their skills immediately with hands-on projects using your actual business cases and data.
Training Schedule
Intensive two-week program with focused modules and hands-on projects. Each module builds on the previous one, creating a comprehensive learning experience.
Production System Design
Learn to architect scalable AI systems with proper infrastructure, monitoring, and deployment strategies
ML Engineering Practice
Hands-on development of production ML pipelines, model deployment, and performance optimization
Infrastructure & Scaling
Master AI infrastructure setup, scaling strategies, and cost optimization techniques
Security & Monitoring
Implement robust security measures, monitoring systems, and operational best practices
Real-World Projects
Work on actual business cases using your company's data and use cases
What You'll Learn
Comprehensive curriculum covering all aspects of production AI development, with a focus on practical skills and real-world application.
System Architecture
Production-grade AI system design and implementation
- ✓Scalable architectures
- ✓Infrastructure design
- ✓Integration patterns
ML Engineering
Practical machine learning engineering skills
- ✓Model deployment
- ✓Pipeline automation
- ✓Performance optimization
Production Operations
Operating AI systems in production
- ✓Monitoring setup
- ✓Incident response
- ✓Cost management
Best Practices
Industry-standard practices for AI development
- ✓Code quality
- ✓Testing strategies
- ✓Documentation
Technologies Covered
Learn the most important tools and technologies used in production AI development.
ML Frameworks
Cloud Platforms
MLOps Tools
Monitoring Systems
Version Control
CI/CD for AI
Testing Frameworks
Security Tools
Schedule Your Bootcamp
Ready to transform your engineering team? Let's discuss your training needs and customize a bootcamp program for your team.