The ISAI-200 is INSAIG's Professional-level AI certification for engineers, data scientists, and ML practitioners who build and deploy AI systems in production. This course goes beyond theory into the engineering reality of machine learning — designing robust training pipelines, optimizing model performance, implementing MLOps workflows, and deploying models at scale. You will master advanced techniques including hyperparameter optimization, distributed training, model compression, feature stores, experiment tracking, CI/CD for ML, and monitoring for data drift and model degradation. The course also covers responsible AI governance, A/B testing for ML systems, and building RAG and agent-based architectures for enterprise applications. Real-world case studies from companies like Netflix, Spotify, and Uber illustrate how production ML differs from notebook prototyping. The certification exam is proctored, 120 minutes, and tests both theoretical understanding and practical problem-solving ability.
Prove your skills with a proctored exam that validates real-world competence
Proctored online exam
Multiple choice
Minimum pass score
Exam attempts
The ISAI-200 certification exam is a proctored, timed assessment that validates your practical knowledge. You will have 120 minutes to answer 60 multiple-choice questions. A minimum score of 75% is required to pass. You may retake the exam up to 3 times, with a 7-day cooling period between attempts.
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