ORACLE OCI DATA SCIENCE CERTIFIED COURSE

MODULE 1: OCI DATA SCIENCE FUNDAMENTALS

• OCI Data Science Architecture & Core Concepts
• Data Science Projects, Workspaces & Notebook Sessions
• OCI Data Science Lifecycle & Best Practices

MODULE 2: PYTHON & DATA PREPARATION

• Python for Data Science
• Pandas, NumPy & Data Manipulation
• Data Cleaning, Transformation & Preparation

MODULE 3: EXPLORATORY DATA ANALYSIS

• Exploratory Data Analysis (EDA)
• Statistical Analysis & Data Visualization
• Feature Identification & Data Quality Assessment

MODULE 4: MACHINE LEARNING FUNDAMENTALS

• Supervised & Unsupervised Learning
• Regression & Classification Algorithms
• Clustering & Dimensionality Reduction

MODULE 5: FEATURE ENGINEERING & MODEL TRAINING

• Feature Engineering & Feature Selection
• Model Training & Hyperparameter Tuning
• Cross-Validation & Model Optimization

MODULE 6: MODEL EVALUATION & MANAGEMENT

• Model Evaluation Metrics
• Model Explainability & Performance Analysis
• OCI Model Catalog & Model Versioning

MODULE 7: OCI MACHINE LEARNING OPERATIONS

• OCI Data Science Jobs
• Automated Model Training Workflows
• Model Reproducibility & Lifecycle Management

MODULE 8: MODEL DEPLOYMENT & INFERENCE

• Model Deployment on OCI
• Real-Time & Batch Inference
• Endpoint Management, Scaling & Monitoring

MODULE 9: MLOPS & AI INTEGRATION

• MLOps Architecture & Machine Learning Pipelines
• OCI Pipelines, Monitoring & Automation
• Integration with OCI AI Services & Generative AI

MODULE 10: OCI DATA SCIENCE IMPLEMENTATION & PROJECT

• Enterprise Machine Learning Solution Development
• Production Model Deployment & Optimization
• Real-Time OCI Data Science Capstone Project

Industry Projects:

• Enterprise OCI Data Science Environment Implementation
• Customer Churn Prediction & Classification
• Sales & Demand Forecasting Model
• Customer Segmentation Using Machine Learning
• Fraud Detection & Risk Prediction System
• Predictive Maintenance Using Machine Learning
• NLP-Based Text Classification Project
• Recommendation System Development
• OCI Model Training & Model Catalog Implementation
• Machine Learning Model Deployment on OCI
• Automated MLOps Pipeline with OCI Data Science

Who is this program for?

• Data Scientists
• Machine Learning Engineers
• AI/ML Engineers
• Data Analysts
• Python Developers
• Data Engineers
• MLOps Engineers
• Cloud Engineers
• AI & Machine Learning Professionals
• Business Intelligence Professionals