Oracle Cloud Infrastructure Data Science Professional (2024): Hands-on Workshop
The Oracle Cloud Infrastructure (OCI) Data Science Professional course is designed to equip Data Scientists, Machine Learning/AI Engineers with the skills and knowledge to effectively utilize OCI’s comprehensive suite of data science tools. Spanning the entire machine learning lifecycle, from establishing a data science workspace to deploying and overseeing machine learning models in real-world environments, this course enables participants to harness OCI’s robust capabilities.
By the end of this course, you’ll gain the necessary preparation to achieve the Oracle Cloud Infrastructure Data Science Professional Certification and advance your career in data science.
STUDENTS WILL LEARN TO
By completing this course, you will be prepared to take the Oracle Cloud Infrastructure Data Science Professional certification exam.
About the course
COURSE OUTLINE
MODULE 01: Welcome to Data Science
- Course Overview
- Expert Tips: Intro
MODULE 02: Introduction and Configuration
- Projects
- Notebook Sessions
- How to Work with JupyterLab
- Conda Environments: Overview
- Data Science Conda Environments
- Manage Conda Environments
- Demo: Manage Conda Environments
- OCI Vault: Introduction
- Using OCI Vault in OCI Data Science
- Code Repositories (Git)
- Demo: Code Repositories (Git)
- Skill Check: Workspace Design and Setup
MODULE 03: Workspace Design and Setup
- Projects
- Notebook Sessions
- How to Work with JupyterLab
- Conda Environments: Overview
- Data Science Conda Environments
- Manage Conda Environments
- Demo: Manage Conda Environments
- OCI Vault: Introduction
- Using OCI Vault in OCI Data Science
- Code Repositories (Git)
- Demo: Code Repositories (Git)
- Skill Check: Workspace Design and Setup
MODULE 04: Machine Learning Lifecycle
- ML Lifecycle: Overview
- Access Data
- Data Preprocessing
- Demo: Data Preprocessing
- Data Visualization
- Model Training
- Expert Tips: Training a Machine Learning Model on OCI
- Oracle AutoML: Introduction
- Demo: Oracle AutoML
- Hyperparameter Tuning: ADSTuner
- Model Evaluation
- Expert Tips: ADS Evaluators
- Model Explanations: Global Explainer
- Model Explanations: Local Explainer
- Expert Tips: Explainers
- Model Catalog: Overview
- Model Serialization
- Model Deployment
- Demo: Model Deployment
- Expert Tips: Hugging Face
- Demo: Model Deployment Using TensorFlow
- LLM Training & LangChain Integration
- Demo: Deploy LangChain Based RAG to OCI Data Science
- Demo: OCI Data Science Operators
- Demo: OCI AI Quick Actions
- Skill Check: Machine Learning Life Cycle
MODULE 05: MLOps Practices
- MLOps Architecture
- Data Science Jobs
- Demo: Create Artifacts
- Demo: Create and Manage Jobs
- Demo: Start and Manage a Job Run
- Demo: Scaling
- Jobs Monitoring and Logging
- Data Science Pipeline
- Demo: Data Science Pipeline
- Model Deployment: Autoscaling
- Expert Tips: Pipelines
- Skill Check: MLOps Practices
MODULE 06: Related OCI Services
- Spark Applications, Data Flow, and Data Science
- Oracle Open Data
- OCI Data Labeling
- Skill Check: Related OCI Services
Register for Training
Schedule
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