As artificial intelligence becomes more integrated into business and technology environments, managing machine learning systems effectively is becoming increasingly important. Professionals need practical knowledge that goes beyond model development and includes deployment, automation, monitoring, and lifecycle management.
The GSDC machine learning operations certification is designed to help professionals build knowledge around modern MLOps practices and production-ready machine learning workflows. The program focuses on managing the ML lifecycle, automating deployment, applying CI/CD techniques, and supporting scalable and reproducible model delivery.
From Model Development to Reliable Delivery
MLOps connects machine learning and operational practices to create more efficient workflows. The GSDC program introduces learners to practical approaches for improving collaboration between ML and DevOps teams while identifying bottlenecks within model deployment pipelines.
The learning journey includes areas such as:
ML lifecycle management and automation
Experiment tracking and model versioning
CI/CD workflows
Model serving and monitoring
Kubernetes deployment
Learners also explore tools including MLflow, Docker, GitHub Actions, TensorFlow Extended, FastAPI, Prometheus, Grafana, and Kubernetes.
Exploring the New Generation of AI Operations
The program extends beyond traditional machine learning workflows by covering LLMOps, prompt engineering, Retrieval-Augmented Generation, LLM deployment, and AgentOps. This gives learners exposure to operational considerations surrounding modern AI applications.
The curriculum includes practical areas such as RAG pipeline development, embeddings, LLM serving, agent architecture, multi-agent systems, and MCP-based workflows.
Building Skills for Technology Professionals
The program can benefit machine learning engineers, data scientists, DevOps engineers, data engineers, cloud infrastructure professionals, automation engineers, software engineers working with ML models, AI consultants, and technical leads. Prior machine learning or DevOps experience is recommended but not mandatory.
Move Toward Production-Focused AI Expertise
Professionals exploring mlops certifications can use structured learning to strengthen their understanding of automation, deployment, monitoring, and scalable machine learning delivery. GSDC includes 16+ hours of learning, two practice exams, a capstone project, and an AI interview practice platform.
Start Your MLOps Journey
Explore the GSDC Certified MLOps Professional program and build practical knowledge for modern AI operations.
Explore the MLOps Certification Program: https://www.gsdcouncil.org/mlops-certification
