Using Oracle Machine Learning with Autonomous Database Certification Training Course

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Using Oracle Machine Learning with Autonomous Database Course Overview

Learn everything that is there about Oracle Machine Learning and how to use it to set up and manage instances of Oracle Autonomous Database and Oracle Analytics Cloud. Oracle Cloud makes it simple to carry out predictive data analysis.

This is an excellent resource for anyone interested in learning how Oracle Machine Learning and Oracle Autonomous Cloud Platform may benefit their organization and even revolutionize it. You'll soon realize that these services free you up to focus on running your core operations rather than putting in place and maintaining your IT infrastructure. Check out the dates below to enrol in this Using Oracle Machine Learning with Autonomous Database course today.

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

The 1-on-1 Advantage

Flexible Dates

  • • Choose Start Date
  • • Reschedule After Booking
  • • Weekend / Evening Option

4-Hour Sessions

You 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
We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.

4 Hours
8 Hours
Week Days

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Group Training
Date On Request
Course Prerequisites

There are no prerequisites to take up this Using Oracle Machine Learning with Autonomous Database training. However, it would be beneficial if the candidate had basic computer knowledge.

Discover how to set up and take advantage of Oracle Machine Learning on Oracle Autonomous Database and Analytics Cloud service instances. Learn how straightforward it is to use Oracle Cloud for predictive data analysis. Identify the steps needed to write a basic ML application in Python utilizing available ML libraries.

The Using Oracle Machine Learning with Autonomous Database certification course is ideal for Data Scientists, Developers, Architects, Business Analysts, and anyone else interested in learning more about Oracle Machine Learning and Oracle Autonomous Cloud Platform. This OML training will show you how to leverage Oracle Machine Learning on instances of the Oracle Autonomous Database and Oracle Autonomous Analytics Cloud services.

Key Features of this Using Oracle Machine Learning with Autonomous Database Training

  • 2-day Instructor-led Using Oracle Machine Learning with Autonomous Database Certification Training
  • Get free access to the Using Oracle Machine Learning with Autonomous Database training course preview to better prepare for the training
  • Oracle Machine Learning Using Autonomous Database course material prepared by SMEs
  • Expert Oracle Machine Learning trainers with real-world experience across industry sectors
  • Get hands-on experience through lab sessions and exercises developed by the trainer and SMEs
  • Widely acknowledged Using Oracle Machine Learning with Autonomous Database training course completion certificate provided
  • Using Oracle Machine Learning with Autonomous Database training provided across 100+ locations globally

Who can take up Using Oracle Machine Learning with Autonomous Database Training?

Individuals who can take up Using Oracle Machine Learning with Autonomous Database online training include, but are not limited to:

  • Software Developers
  • Data Management Professionals
  • Data Scientists
  • Business Analysts
  • IT Architects
  • Machine Learning Professionals
  • Database Developers
  • Database Administrators
  • Automation Professionals
  • Aspiring Machine Learning and Automation Professionals
  • Professionals who are looking to gain a thorough understanding of how to use Oracle Machine Learning Using an Autonomous Database
  • Professionals who are looking to sit for Using Oracle Machine Learning with Autonomous Database certification exam

Using Oracle Machine Learning with Autonomous Database Exam Format

Exam Name

Oracle Machine Learning Using Autonomous Database (1Z0-1096-21)

Exam Type

Multiple-choice Format

Exam Cost

USD 245

Total Questions

55 Questions

Exam Duration

90 Minutes

Passing Score

68% or more



Exam type

Online and Closed Book

Exam Center

Pearson Vue


After clearing your 1Z0-1096-21 certification exam, your certification credential will be valid only for 18 months, after which you need to get recertified.

Learning Objectives Using Oracle Machine Learning with Autonomous Database Training

You'll learn how to work with others on machine learning projects, how to explore data, how to construct machine learning models, how to test solutions, how to plan jobs, and how to deploy your solutions using Oracle Machine Learning.

Here's a preview of what you'll study in training:

  • Making New Oracle Machine Learning Projects and Workspaces
  • Oracle Machine Learning Notebooks: Writing SQL Code and Executing Commands
  • Oracle Machine Learning Templates for Teamwork
  • Oracle Machine Learning and the Job Structure
  • Oracle Machine Learning Administration

Reasons to Invest in Oracle Machine Learning Training

Using SQL and Python APIs and a no-code AutoML user interface, Oracle Machine Learning (OML) is made to interact with your Oracle Autonomous Database data with scalable and high-performance in-database machine learning algorithms.

  • Oracle Machine Learning with Autonomous Database Certification Will Kickstart Your Career Online Education
  • Professional instructors will provide their full assistance and direction to students as they work on real-world projects.
  • Oracle Autonomous Database and Analytics Cloud Service instances can be set up and used with the help of Oracle Machine Learning.
  • In order to do this, we employ a hands-on methodology to teach Oracle Machine Learning on top of Autonomous Databases.
  • This training will cover using Oracle Machine Learning with the Oracle Autonomous Database and Analytics Cloud service instances.
  • You'll see how these services free you up to concentrate on running your company rather than worrying about setting up and maintaining your IT systems.
  • This course is designed for data scientists, developers, architects, and business analysts, but it is open to anybody interested in learning more about Oracle Machine Learning and the Oracle Autonomous Cloud Platform.

Additional benefits of Oracle Machine Learning (OML) include the following:

  • There is no need to extract your data from external analytical engines as both data exploration, and machine learning modelling take place within the database itself.
  • By providing access to robust in-database machine learning methods, the no-code AutoML UI serves as an expeditor for data scientists while also enabling non-experts to contribute to the field. 
  • Making use of OML services, machine learning solutions may be developed and put into action with almost no code required.
  • Models can be managed and deployed with the use of OML Services' REST interface.
  • Machine learning is now easily accessible in a Cloud analytic setting thanks to OML with Oracle Autonomous Database. 
  • To perform tasks such as data exploration and preparation, model development and testing, and model deployment, OML Notebooks supports the usage of both the SQL and Python APIs. 
  • Your machine learning solutions will be supported by OML and a multitude of sophisticated Oracle technologies, such as a spatial, graph, and JSON, while also benefiting from deployment infrastructure that simplifies solution complexity.
  • Using Oracle Machine Learning, businesses can more easily implement machine learning. Machine Learning in Oracle Database and Oracle Machine Learning provide additional information.

Student Feedback  (Check Koenig Feedback on Trustpilot)

Q1 Say something about the Trainer? Q2 How is Koenig different from other training Companies? Q3 Will you come back to Koenig for training ?

Student Name Country Feedback Rating
Abu United States A1. Yes, she was very clear & a strong mastery of both English & Azure platforms hence following was easy. She was also patient and was answering every question asked, she also shared material & tips on how to pass the exam, Well done, and keep it up.
Nick Barker United States A1. Calm and understanding, she not only kept the course running well but also took time to help those with lots of questions. Very well done.
Robin Johnson United States A2. Individual attention during training, excellent customer service and coordination. Neha has been ever so helpful and is definitely an asset to Koenig.
Shivani Prasad United States A1. The trainer was great and his teaching methods were incredible. He used different teaching methods to ensure I was learning well. A fun trainer with lots of patience and understanding.
Adam United States A1. The trainer was very knowledgeable and well prepared about the presentation/training subject, with a positive attitude towards students and making every effort in answering questions during the training session. Top-notch service!
Suresh United States A1. Exceptional... recommend to everyone!
Shyam Vaddakapett United States A1. My trainer, Mohit Kakkar was excellent as he focused on hands-on assignments to supplement the concepts of AZ 900. The training coordinator Jasmeet as well as the ops manager Sheshadri are also very professional and customer-centric. I recommend Koenig for training courses, and I will take some more courses with them soon.
Gilles Chirlias United States A1. Chavi was a great teacher, I have learned a lot from her. I would like to have her for the next training, which would be the AZ 301 and AZ 500.
Abdulrahman Saad Alshahrani United States A1. Excellent trainer. I will take another course with him someday. He deserves a good appreciation from his Manager.
Anonymous United States

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1-on-1 Public - Select your start date. Other students can be merged.
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