DSCI 273 Enterprise AI with Cloudera Machine Learning Course
- Duration: 32 hours
- Exam Voucher: Yes
- Language: English
- Course Delivery : E - Learning Access
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Course Overview
The DSCI-273: Enterprise AI with Cloudera Machine Learning course is designed to empower experienced data scientists, ML engineers, and analytics leaders to build, scale, and operationalize enterprise-grade artificial intelligence solutions using Cloudera Machine Learning (CML). The training combines strategic AI principles with advanced machine learning workflows, deployment strategies, and governance practices necessary for production-ready AI systems. Participants will learn how to leverage CML’s tools and frameworks to accelerate model development, collaboration, and continuous improvement in AI initiatives that drive measurable business impact.
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Course Details
- Deep understanding of enterprise AI strategy and lifecycle
- Ability to build and manage scalable AI systems using CML
- Expertise in advanced model training, deployment, and monitoring
- Enhanced skills in model governance, reproducibility, and collaboration
- Hands-on experience with real-world enterprise AI workflows
- Preparation for technical leadership roles in AI and analytics
- Open to data scientists, ML engineers, analytics professionals, and technical leaders
- Ideal for professionals responsible for deploying AI at scale in enterprise environments
- Prior experience with machine learning concepts and Python programming is recommended
- Familiarity with Cloudera Machine Learning (CML) and data platforms is beneficial
- Corporate sponsorship or group participation is encouraged
- Master the end-to-end enterprise AI lifecycle with CML
- Learn advanced techniques in feature engineering, model training, and evaluation
- Gain expertise in deploying, scaling, and serving models in production
- Understand model governance, reproducibility, and collaboration workflows
- Develop skills in monitoring, retraining, and operationalizing AI systems
- Achieve readiness for enterprise AI roles through practical, hands-on experience
- Enterprise AI Fundamentals & Strategy
- Advanced Feature Engineering Techniques
- Scalable Model Training & Distributed Workflows
- Model Evaluation, Selection & Tuning
- Production Deployment & Model Serving
- Model Monitoring & Lifecycle Management
- AI Governance, Reproducibility & Collaboration
- Integrating AI with Enterprise Data Pipelines
- Real-World Enterprise AI Use Cases
- Hands-On Labs and Practical AI Scenarios
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