There's a meaningful difference between training a machine learning model in a notebook and deploying it reliably at enterprise scale with monitoring, autoscaling, and governance. The Oracle Data Science Professional (2025) program at Technovalley is built for the second half of that equation — MLOps, not just model training.
What This Program Covers
Over 200 hours, learners work through the complete machine learning lifecycle as implemented on Oracle Cloud Infrastructure Data Science:
OCI Data Science Workspaces and the ADS SDK
Oracle AutoML, data pipelines, and hyperparameter tuning
Model deployment, autoscaling, and explainability
MLOps automation, monitoring, and OCI AI services integration
LangChain integration and LLM deployment via OCI AI Quick Actions
This is squarely aligned with what the industry now calls MLOps maturity — a discipline the Google Cloud MLOps whitepaper describes as the biggest differentiator between organisations that get real value from ML and those that don't.
Who Should Enrol?
Data scientists, machine learning engineers, and cloud engineers who already understand ML fundamentals and want to specialise in deploying and operationalising models — specifically within enterprise Oracle environments. If you're earlier in your journey, start with the Technovalley Certified Data Scientist program to build core ML and statistics fundamentals first, then return to this program for cloud deployment specialisation.
It also pairs naturally with the OCI AI Foundations Associate (2025) program for learners building a complete Oracle AI credential stack from foundations through to production MLOps.
Career Outcomes
Graduates move into roles including OCI Data Science Engineer, MLOps Engineer, Cloud AI Engineer, AI Deployment Engineer, and AI Solutions Architect. Enterprise demand for MLOps-literate professionals has grown sharply as organisations move past pilot projects — a trend well documented in the World Economic Forum's Future of Jobs Report, which lists AI and machine learning specialists among the fastest-growing roles worldwide.
Why Technovalley for This Certification?
Technovalley's direct partnership with Oracle means this program is built around Oracle's actual certification blueprint and enterprise tooling — not a generic MLOps course with an Oracle logo attached. Learners get hands-on lab access, capstone projects, and career mentorship as standard.
FAQs
Is this program suitable for ML beginners? It assumes foundational ML knowledge. Beginners should start with the Technovalley Certified Data Scientist program first.
What's the difference between this and OCI AI Foundations Associate? Foundations is conceptual and beginner-level; this program is hands-on, implementation-focused, and aimed at professionals deploying real ML systems.
Which tools will I use during training? ADS SDK, Oracle AutoML, OCI Data Flow, Data Labeling, LangChain, and OCI AI Quick Actions, among others.
Specialise in enterprise MLOps on Oracle Cloud. See the Oracle Data Science Professional program or explore Technovalley's full AI certification catalogue. Enquire now.
