CODE: AI18
DURATION: 3 Days/5 Days/10 Days
CERTIFICATIONS: CPD
Bridging the gap between a working model and a robust, production-grade AI service is the most significant challenge in modern AI. This course has been designed to provide the essential engineering principles and hands-on techniques to deploy, manage, and scale AI systems effectively. Participants will move beyond notebooks and local scripts to master the tools and architectures like containerization, orchestration, and MLOps required to serve models reliably to millions of users, ensuring performance, monitoring for drift, and automating the entire lifecycle.
This course is available in the following formats:
Virtual
Classroom
Request this course in a different delivery format.
Course Outcomes
Delegates will gain the knowledge and skills to:
Containerize and package ML models for consistent, portable deployment across any environment.
Design and implement scalable serving architectures using REST APIs and gRPC for high-throughput inference.
Leverage orchestration tools like Kubernetes to automate deployment, scaling, and management of AI services.
Build continuous integration and delivery (CI/CD) pipelines specifically tailored for machine learning (MLOps).
Implement comprehensive monitoring for model performance, data drift, and system health.
Optimize inference latency and cost for real-time and batch processing scenarios.
At the end of this course, you’ll understand:
This course is ideal for data scientists, machine learning engineers, and DevOps professionals looking to operationalize AI in real-world environments. It is especially relevant for ML engineers and data scientists building production models, DevOps and MLOps engineers responsible for deployment and automation, AI/ML platform teams managing infrastructure and pipelines, and software developers creating AI-powered applications who need practical skills in scalable, reliable AI operations.
✓ Modern facilities
✓ Course materials and certificate
✓ Accredited international trainers
✓ Training materials and workbook
✓ Access to online resources
