Building and Optimizing AI Agent Workflows
Completed by Kirill Chernenko
April 4, 2026
17 hours (approximately)
Kirill Chernenko's account is verified. Coursera certifies their successful completion of Building and Optimizing AI Agent Workflows
What you will learn
Design ethical RL reward functions that align agent behavior and analyze AI's legal and societal implications.
Build modular, scalable agent systems with clear APIs using advanced reasoning-loop architectures like ReAct.
Apply search algorithms & Big-O analysis to optimize pipelines, balancing performance, cost, and success rates.
Build reusable ML pipelines to transform data and apply interpretability techniques to detect model bias.
Skills you will gain
- Category: System Design and Implementation
- Category: Model Deployment
- Category: Model Evaluation
- Category: Data Transformation
- Category: Data Ethics
- Category: Model Training
- Category: Code Reusability
- Category: Agentic Workflows
- Category: Generative AI
- Category: AI Orchestration
- Category: Feature Engineering
- Category: Artificial Intelligence
