Using Oracle Machine Learning with Autonomous Database Training Course

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Using Oracle Machine Learning with Autonomous Database Course Overview

Using Oracle Machine Learning with Autonomous Database course is designed for Data Scientists, Developers, Architects, Business Analysts and anyone who wants to know about Oracle Machine Learning and Oracle Autonomous Cloud Platform. In this course, you will learn how to use Oracle Autonomous Database and Analytics Cloud service instances with Oracle Machine Learning.

Target Audience

  • Analyst
  • Data Scientist
  • Manager

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

  • 1. Do you have limited Window for training?
  • 2. Can you only spend 4-hours per day?
  • 3. Do you want to start training immediately?
  • If your answer is yes to any one of the above, you need 1-on-1- Training
The 1-on-1 Advantage
Flexible Dates
4-Hour Sessions
  • View video
  • The course will be free if we are not able to start within 7 days of booking.
  • Only applicable for courses on which this logo appears.

Your will learn:

Module 1: Course Overview
  • Target Audienc
  • Prerequisites
  • Course Roadmap
  • Use Case: El Tronics
  • Course Persona
  • Course Practices
  • Sample Database Schemas Used in the Course
  • Growth of Oracle Machine Learning
  • Oracle Machine Learning: Features & Components
  • Compatible Oracle Cloud Services
  • Oracle Cloud Platform Autonomous Services
  • Oracle Autonomous Database
  • Oracle Analytics Cloud
  • Autonomous Data Warehouse Cloud: Use Cases
  • Accessing the Oracle Machine Learning Home Page
  • Creating a New Project and Workspace
  • Managing Workspaces Permissions
  • SQL Script Scratchpad
  • Developing & Running SQL Scripts
  • Exporting and Importing SQL Scripts
  • Restrictions on SQL Commands
  • Restrictions for Database Options
  • Restrictions for Database Initialization Parameters
  • Connection Groups
  • Examples: OML Notebook
  • Creating & Editing a Notebook
  • Typical Workflow for Analyzing Data with Oracle Machine Learning
  • Traditional Programming Versus Machine Learning
  • Creating Text Input Forms in Notebooks
  • Creating Select Forms in Notebooks
  • Creating Check Box Forms in Notebooks
  • Setting Up an Output Format
  • Templates in Oracle Machine Learning
  • Saving a Notebook as Template in Oracle Machine Learning
  • Sharing Templates
  • Editing Template Settings
  • Collaborate Using the Export Option
  • Jobs in Oracle Machine Learning
  • Creating a Job
  • Viewing Job Logs
  • Workflow for Managing Oracle Machine Learning
  • User Data
  • Compute Resource
  • Creating User Accounts for Oracle Machine Learning
  • Autonomous Transaction Processing
  • Typical Workflow for Autonomous Transaction Processing, and Other Services and Tools
  • Using Oracle Machine Learning with Autonomous Transaction Processing
  • K-means Algorithm
  • Oracle Machine Learning for Data Access, Analysis, and Discovery
  • Oracle Analytics Cloud
  • Creating Connections to Oracle Autonomous Data Warehouse Cloud
  • Create Connections to Autonomous Transactional Processing Cloud
  • Use Machine Learning to Analyze Data by Using Oracle Analytics Cloud
  • Using Data Flow to Curate Data Sources
  • Running Data Flows
  • Prediction Visualization
Live Online Training (Duration : 16 Hours) Fee On Request
Group Training Date On Request
1-on-1 Training
4 Hours
8 Hours
Week Days

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Classroom Training (Available: London, Dubai, India, Sydney, Vancouver)
Duration : On Request
Fee : On Request
On Request
Classroom Training is available. Enquire for the fee Click
Comfort Track

If you think 32 hours is too long. We can offer Comfort Track for 16 hours

Course Prerequisites
  • Basic Computer Knowledge.
  • Introduction to Oracle Machine Learning and Oracle Autonomous Cloud Platform
  • Creating Workspace and Projects in Oracle Machine Learning
  • Creating SQL Scripts and Running SQL Commands in Oracle Machine Learning
  • Notebooks in Oracle Machine Learning
  • Collaborating Using Templates in Oracle Machine Learning
  • Working with Jobs in Oracle Machine Learning
  • Administering Oracle Machine Learning
  • Working with Oracle Machine Learning using Autonomous Transaction Processing Cloud
  • Creating Visualizations in Oracle Machine Learning Using Analytics Cloud

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