What you will learn in Machine Learning in Production Course
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Design an end-to-end ML production system: project scoping, data requirements, modeling strategies, and deployment constraints.
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Establish a model baseline, address concept drift, and prototype the development, deployment, and continuous improvement of a productionized ML application.
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Build data pipelines by gathering, cleaning, and validating datasets.
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Implement feature engineering, transformation, and selection using tools like TensorFlow Extended.
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Apply best practices and progressive delivery techniques to maintain a continuously operating production system.
Program Overview
Overview of the ML Lifecycle and Deployment
3 hours
- Introduction to ML production systems, focusing on requirements, challenges, deployment patterns, and monitoring strategies.
Modeling Challenges and Strategies
4 hours
- Covers model strategies, error analysis, handling different data types, and addressing class imbalance and skewed datasets.
Data Definition and Baseline
4 hours
- Focuses on working with various data types, ensuring label consistency, establishing performance baselines, and discussing improvement strategies.
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Job Outlook
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Equips learners with practical skills for roles such as ML Engineer, Data Scientist, and AI Specialist.
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Provides hands-on experience in deploying and maintaining ML systems in production environments.
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Enhances qualifications for positions requiring expertise in MLOps and production-level machine learning applications.
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Related Courses
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Machine Learning for All Course – Build a strong foundation in machine learning concepts, even if you’re new to the field, and understand how ML impacts business and technology.
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Machine Learning Specialization Course – Master core machine learning algorithms, model evaluation, and real-world applications with a comprehensive, industry-leading program.
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Applied Machine Learning in Python Course – Gain hands-on experience implementing machine learning models in Python using practical datasets and production-oriented workflows.
Related Reading
Gain deeper insight into how project management drives real-world success:
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What Is Project Management? – Understand the principles that make every great project a success story.
