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Oracle Data Science Professional (2025)

Build industry-ready expertise in Machine Learning, MLOps, OCI Data Science, AutoML, AI deployment, and enterprise cloud AI workflows using Oracle Cloud Infrastructure. Gain hands-on experience in end-to-end ML lifecycle implementation, model deployment, and scalable AI engineering.

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Oracle Data Science Professional (2025)

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Oracle Data Science Professional (2025)

Become an Industry-Ready OCI Data Science & MLOps Professional

Master end-to-end Machine Learning implementation on Oracle Cloud Infrastructure (OCI) with hands-on training in OCI Data Science, MLOps, AutoML, Model Deployment, ADS SDK, LangChain integration, and enterprise AI workflows.

The Oracle Cloud Infrastructure Data Science Professional (2025) program is a comprehensive industry-oriented training program designed for Data Scientists, AI Engineers, and Cloud Professionals who want to build scalable AI and Machine Learning solutions using Oracle Cloud Infrastructure. The program provides practical expertise in configuring OCI Data Science environments, implementing complete machine learning lifecycles, deploying AI models, integrating OCI services, and applying MLOps best practices for enterprise-ready AI solutions.

Learners gain hands-on exposure to OCI Data Science Workspaces, ADS SDK, Oracle AutoML, Data Pipelines, Model Deployment, AI Quick Actions, OCI Vault, Data Flow, Data Labeling, LangChain integration, and cloud-native AI engineering workflows while preparing for the Oracle Cloud Infrastructure Data Science Professional Certification.

Duration

Duration

200 Hours Industry Standards Training

Curriculum

Curriculum

Industry Linked Curriculum

Projects

Projects

Hands-on Industry & Capstone Projects

Certification

Certification

Industry Recognized Certification

Mentorship

Mentorship

1-on-1 Mentorship from Industry Experts

Core Learning Areas

Artificial Intelligence Foundations

Machine Learning Fundamentals

Deep Learning Concepts

Generative AI & Large Language Models

Oracle Cloud AI Services

OCI AI Infrastructure & Applications

The Oracle Cloud Infrastructure Data Science Professional (2025) program is an advanced cloud AI and machine learning training program focused on building practical expertise in Oracle Cloud Infrastructure’s Data Science ecosystem.

The program is designed for Data Scientists, Machine Learning Engineers, AI Professionals, and Cloud Engineers who want to implement enterprise-grade machine learning solutions using OCI services and modern MLOps practices.

Learners will gain hands-on experience in configuring OCI environments, managing Data Science Workspaces, using ADS SDK, training machine learning models, deploying AI applications, automating ML pipelines, and integrating OCI cloud services into production-ready AI workflows.

The curriculum provides practical exposure to the complete Machine Learning lifecycle including:

Data access & preprocessing

Visualization & feature engineering

Model training & evaluation

AutoML implementation

Hyperparameter tuning

Model explainability

Deployment & autoscaling

MLOps automation & monitoring

OCI AI services integration

The program also covers modern enterprise AI workflows including LangChain integration, LLM deployment, OCI AI Quick Actions, Data Science Operators, and scalable AI infrastructure management.

By the end of the program, learners will possess the practical implementation skills, cloud AI expertise, and deployment knowledge required for enterprise AI engineering, cloud machine learning, and OCI-based MLOps careers.

Focus Areas

OCI Data Science Fundamentals

ADS SDK & Workspace Management

Machine Learning Lifecycle

MLOps & AI Pipelines

OCI AI Services Integration

Cloud AI Deployment

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Technovalley Advanced Knowledge Services is recognized as a trusted centre of excellence delivering cloud-standard skilling and IT consulting programs across Artificial Intelligence, Cybersecurity, Cloud Computing, Software Engineering, Data Science, and Digital Forensics.

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Access one of India's largest technology learning ecosystems with 200+ high-impact certification and PG programs designed for academic career transformation and enterprise readiness.

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