Optimize AI: Plan, Evaluate, and Learn
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Optimize AI: Plan, Evaluate, and Learn
This course is part of Managing AI Projects That Ship and Scale Specialization
Instructor: ansrsource instructors
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Skills you'll gain
- Risk Analysis
- Model Training
- Risk Management
- Risk Management Framework
- Procedure Development
- Strategic Decision-Making
- Advanced Analytics
- Business Priorities
- Experimentation
- Operational Analysis
- Algorithms
- Predictive Modeling
- Release Management
- Applied Machine Learning
- Product Development
- A/B Testing
- Continuous Deployment
- Product Planning
- Project Planning
- Decision Making
Details to know
December 2025
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There is 1 module in this course
Optimize AI: Plan, Evaluate, and Learn – equips project and program managers with the skills to guide AI systems through change and uncertainty. In this course, you’ll learn how to analyze performance data to plan retraining, evaluate algorithm families under real-world constraints, and design continuous-learning strategies with canary deployments and rollback safeguards. Through scenario-based discussions, hands-on activities, and practical tools like MLflow dashboards, evaluation matrices, and retraining calendars, you’ll practice making informed decisions under pressure. By the end, you’ll be able to detect risks early, balance accuracy and speed, and sustain reliable AI systems that align with business goals.
Optimize AI: Plan, Evaluate, and Learn – equips project and program managers with the skills to guide AI systems through change and uncertainty. In this course, you’ll learn how to analyze performance data to plan retraining, evaluate algorithm families under real-world constraints, and design continuous-learning strategies with canary deployments and rollback safeguards. Through scenario-based discussions, hands-on activities, and practical tools like MLflow dashboards, evaluation matrices, and retraining calendars, you’ll practice making informed decisions under pressure. By the end, you’ll be able to detect risks early, balance accuracy and speed, and sustain reliable AI systems that align with business goals.
What's included
7 videos3 readings4 assignments
7 videos•Total 27 minutes
- Reading MLflow Dashboards Like a Project Manager•3 minutes
- Detect Precision Drops in ML Flows•4 minutes
- LightGBM, BERT, Bayesian: Balancing Tradeoffs•4 minutes
- Head-to-Head: LightGBM vs. BERT on Latency •2 minutes
- Inside a Continuous Learning Strategy: Retraining, Canary, Rollback•3 minutes
- Building a Retraining Calendar with Rollback Triggers•8 minutes
- Congratulations and Continuous Learning Journey•2 minutes
3 readings•Total 30 minutes
- Tackling Data and Model Drift in AI•10 minutes
- Strategic Model Selection in AI•10 minutes
- When to retrain machine learning models•10 minutes
4 assignments•Total 54 minutes
- Test Your Understanding!•15 minutes
- HOL: Plan a Retraining Date from Performance Data•12 minutes
- HOL: Complete the Model Evaluation Matrix•15 minutes
- HOL: Design Your Quarterly Retraining Calendar•12 minutes
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