MACHINE LEARNING ENGINEERING FOR PRODUCTION (MLOPS) L2
Completed by djalab samir on June 16, 2025
Verified learner ·
Badge ID: cedsOpl5TlOnbDqZec5Txg
About this Badge
The badge learner has demonstrated knowledge of Machine Learning Engineering for Production (MLOps), integrating ML concepts with software engineering and DevOps for effective deployment, maintenance, and optimization of production systems handling evolving data, ensuring continuous operation with maximum performance and minimum cost.
Learning objectives
- Master Machine Learning Engineering for Production (MLOps), blending ML concepts with software engineering and DevOps.
- Build, maintain, and optimize integrated systems handling evolving data in production effectively and efficiently.
- Employ well-established tools and methodologies to ensure continuous, cost-effective, and high-performance operation.
- Develop production-ready skills to contribute to cutting-edge AI technology for real-world problem-solving.
Skills learned
- Applied Machine Learning
- DevOps
- Machine Learning
- Cloud Computing
- Deep Learning
- Google Cloud Platform
- Python Programming
- Statistical Programming
- Probability & Statistics
- Communication
- Planning
- Problem Solving
- Skills section collapsed. Showing 10 of 12 skills.
Learning content completed
Some of the content and skills presented have been contributed by the content provider.