Oracle Cloud Infrastructure Data Science Professional: Hands-on Workshop
Duration : 2 Days (16 Hours)
Oracle Cloud Infrastructure Data Science Professional: Hands-on Workshop Course Overview:
The Oracle Cloud Infrastructure Data Science Professional: Hands-on Workshop certification is a specialized program that delves into the advanced features provided by Oracle for data management and analytics. This certification demonstrates an individual’s proficiency in utilizing Oracle Cloud Infrastructure for implementing and managing complex data science projects.
The hands-on workshop enables participants to learn about Oracle’s advanced tools for machine learning, data exploration, model training, and data visualization. Industries rely on this certification to identify skilled data science professionals who can leverage Oracle Cloud Infrastructure to derive valuable business insights. It highlights the professional’s capability to apply advanced data science techniques to make actionable business decisions. This certification is essential in showcasing expertise in using Oracle’s data science capabilities effectively.
- Data scientists interested in cloud-based models
- IT professionals looking to enhance their data science skills
- Oracle systems users looking to expand their knowledge
- Businesses implementing Oracle Cloud Infrastructure
- Students or enthusiasts seeking hands-on experience in data science
- Individuals looking to understand data science in a cloud environment
Learning Objectives of Oracle Cloud Infrastructure Data Science Professional: Hands-on Workshop:
The learning objectives of the Oracle Cloud Infrastructure Data Science Professional: Hands-on Workshop course are:
- Equipping participants with practical knowledge and skills in using Oracle Cloud Infrastructure for data science activities.
- Teaching participants how to create and manage data science projects on Oracle Cloud Infrastructure.
- Familiarizing participants with using OCI’s features for machine learning and predictive analytics.
- Ensuring participants understand data security measures in the context of data science on OCI.
- Teaching participants how to optimize resource utilization for data science tasks.
- Training participants on how to leverage various data sources and integrate their data science tools with OCI.
- Preparing participants to deploy their data science models for business applications using Oracle Cloud Infrastructure.
Module 1: Introduction to Data Science on OCI
- Overview of Data Science
- Overview of OCI Data Science Services
- OCI Data Science Architecture and Components
- OCI Data Science Tools
Module 2: OCI Data Science
- Creating and Managing Data Science Projects
- Using Jupyter Notebook on OCI
- Developing and Training Machine Learning Models on OCI
- Managing Data Science Models on OCI
Module 3: OCI Object Storage
- Overview of OCI Object Storage
- Creating and Managing Object Storage Buckets
- Uploading and Downloading Data from OCI Object Storage
- Using Object Storage with OCI Data Science
Module 4: OCI Compute
- Creating and Managing Compute Instances for Data Science
- Using Compute Images for Data Science
- Creating and Managing Instance Configurations for Data Science
- Launching Instances for Data Science
Module 5: OCI Identity and Access Management (IAM)
- Managing IAM Users and Groups for Data Science
- Configuring IAM Policies for Data Science
- Integrating IAM with OCI Services for Data Science
- Understanding Authentication and Authorization for Data Science
Module 6: Building and Deploying Data Science Solutions on OCI
- Creating and Deploying Data Science Solutions on OCI
- Using DevOps Tools on OCI for Data Science
- Managing and Monitoring Data Science Solutions on OCI
Module 7: Advanced OCI Data Science Concepts
- Using GPU Instances for Data Science on OCI
- Understanding and Using OCI Data Catalog
- Using OCI Machine Learning
Module 8: Best Practices for Data Science on OCI
- Security Best Practices
- Optimization Best Practices
- Cost Optimization Best Practices
- Disaster Recovery Best Practices
Oracle Cloud Infrastructure Data Science Professional: Hands-on Workshop Course Prerequisites:
• Solid understanding of Oracle Cloud Infrastructure (OCI)
• Proficiency in data science concepts
• Proficient in Python programming language
• Understanding of machine learning models
• Familiarity with cloud-based data science and SaaS workflows
• Basic knowledge in data security and governance
• Previous experience using OCI services.
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This course comes with following benefits:
- Practice Labs.
- Get Trained by Certified Trainers.
- Access to the recordings of your class sessions for 90 days.
- Digital courseware
- Experience 24*7 learner support.
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