Azure Machine Learning Workspace | Run Experiments & Train Models | Optimise & Manage Models | Deploy & Consume Models

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Oracle Autonomous Database is the world’s only data management system to automatically patch, upgrade and tune itself. It handles routine database maintenance tasks while the system is running—without human intervention.

It is designed to support all standard SQL and business intelligence (BI) tools and provides all of the performance of the market-leading Oracle Database in an environment that is tuned and optimized for Data Warehouse & Transaction Processing Workload.



I'm an Author, Oracle ACE, Speaker, a Certified Cloud Architect and have been working on Cloud, Cloud Native with an overall 20 years of experience in IT. I've helped thousands of my trainees to learn Cloud and customers to migrate to Cloud & Integrations.

What Is Autonomous Database?

Step by Step Hands-On Guides

Module 1: Oracle Cloud Computing Service – Getting Started

Module 2: OCI – Identity and Access Management Service

Module 3: Networking

Module 4: OCI Compute: Bare Metal & Virtual Machine

Module 5: Storage (Block, Object, File Service)

Module 6: Load Balancer Service

Module 7: Launch Database & Advanced Database

Module 8: DNS

A Little Bit About Trainer 

Oracle ACE & Cloud Expert

Atul Kumar

I got Oracle Cloud Certified and I thank Trainer, Atul, and K21Academy for their support at Every Step. Very well structured and practical oriented course material. Absolutely fantastic! Glad that I took this step of getting certified as it makes a lot of difference in the CV if you mention that you have the knowledge of Oracle Cloud Vs that you are Oracle Cloud Certified.

What Students Say About Us

Copyright © 2021 K21Academy | All rights reserved

Akhilesh Singh

Oracle Cloud Infrastructure Certified

Azure Machine Learning Workspace | Run Experiments & Train Models | Optimise & Manage Models | Deploy & Consume Models




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 What You Will Learn In This Training?

Module 1: Autonomous Database Technical Overview

Module 2: Provisioning & Connectivity

Module 3: Migration & Data Loading into Autonomous Database

Module 4: Managing & Maintaining Autonomous Database

Module 5: Monitoring Autonomous Database

Module 6: Tools, Reporting and Analytics using Autonomous Data Warehouse 

Oracle Autonomous Database is the world’s only data management system to automatically patch, upgrade and tune itself. It handles routine database maintenance tasks while the system is running—without human intervention.

Atul Kumar

A Little Bit About Trainer

Atul Kumar

Author & Cloud Expert

I'm an Author, Oracle ACE, Speaker, a Certified Cloud Architect and have been working on Cloud, Cloud Native with an overall 20 years of experience in IT. I've helped thousands of my trainees to learn Cloud and customers to migrate to Cloud & Integrations.

What Is Autonomous Database?

Ready To Take Your Career to Next Level by Learning Oracle Cloud Infrastructure? 

Join now to be the First One To Know When We Open Enrollments.  

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What our students say about
 K21Academy Course Training Material

AKHILESH SINGH
Oracle Cloud Infrastructure Certified

I got Oracle Cloud Certified and I thank Trainer, Atul, and K21Academy for their support at Every Step. Very well structured and practical oriented course material. Absolutely fantastic! Glad that I took this step of getting certified as it makes a lot of difference in the CV if you mention that you have the knowledge of Oracle Cloud Vs that you are Oracle Cloud Certified.

https://www.linkedin.com/in/akhilesh-singh-59baa11/

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Module 9: Advance Networking Concepts

Module 10: Advanced IAM

Module 11: Architecting Best Practices: HA, DR, Use Cases

Module 12: Certification Exam 1Z0-932

Akhilesh Singh

Oracle Cloud Infrastructure Certified

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What Our Students Say About K21Academy Training Material...

 

                                       Farhan Baboojee
                              (Azure Data Scientist
)

I was surprised as the training material was provided to us with study material to prepare ourselves prior to the course start. When I joined K21Academy, I was very impressed with how they choose technology to connect to students. A WhatsApp Group for all students to connect, communicate, and assist on a real-time basis is a brilliant idea. READ MORE

 

                     Naveen Agrawal
     ([AZ-900]: Microsoft Azure Fundamentals)

Glad to share that I have cleared my [AZ-900] Microsoft Azure Fundamentals certification exam successfully. Thanks to Atul Kumar and the trainer for the wonderful training sessions. There is no other online training that can come anywhere near to the trainer’s level of knowledge and it is simply unparalleled. The training structure is fantastic as well.

sanjukta
Activity Guide I
Step-By-Step Guide to Register for Oracle Cloud Trial Account
Activity Guide III
Create virtual cloud network (VCN), Subnets, Security List, Gateway & Route Table
Activity Guide IV 
Create & Access User Managed Database On OCI
Activity Guide VI
Managing DB System (Start, Stop Scale-Up/Down) & DBCLI
Activity Guide VII
Monitoring Database on OCI using EM Express
Activity Guide VIII
Backup & Restore DB System

Ready To Take Your Career to Next Level by Learning DBA To Oracle Cloud DBA? 

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What You Will Learn In This Training?

MODULE 1: GETTING STARTED WITH AZURE MACHINE LEARNING

LESSON 1:  INTRODUCTION TO MODULE AND WHAT IS AZURE ML
LESSON 2: AZURE ML WORKSPACE AND ML STUDIO

LESSON 3: OVERVIEW DIAGRAM
LESSON 4: AZURE ML TOOLS
LESSON 5: LAB 1A - CREATING AN AZURE MACHINE LEARNING WORKSPACE
LESSON 6: LAB 1B - INTRO TO THE AZURE ML SDK

ACTIVIT GUIDE: CREATING AN AZURE MACHINE LEARNING WORKSPACE
ACTIVITY GUIDE: WORKING WITH AZURE MACHINE LEARNING TOOLS
QUIZ: AZURE MACHINE LEARNING


MODULE 2: NO CODE MACHINE LEARNING WITH DESIGNER

LESSON 1: LOGISTIC REGRESSION ALGORITHM
LESSON 2: CONFUSION MATRIX
LESSON 3: ROC CURVE AND AREA UNDER CURVE
LESSON 4: NORMALIZATION
LESSON 5: LAB OVERVIEW
LESSON 6: TRAINING MODELS WITH DESIGNER
LESSON 7: PUBLISHING MODELS WITH DESIGNER

LESSON 8: LAB2A - CREATING A TRAINING PIPELINE WITH THE AZURE ML DESIGNER
LESSON 9: LAB2B - USING THE VISUAL DESIGNER

ACTIVITY GUIDE: RUN AN AUTOMATED ML EXPERIMENT
ACTIVITY GUIDE: DEPLOY AND TEST THE PREDICTIVE SERVICE (AUTOMATED ML)
ACTIVITY GUIDE: CREATING A TRAINING PIPELINE WITH THE AZURE ML DESIGNER
ACTIVITY GUIDE: 
DEPLOYING A SERVICE WITH THE AZURE ML DESIGNER
QUIZ:
 
NO-CODE MACHINE LEARNING WITH DESIGNER


MODULE 3: RUNNING EXPERIMENTS AND TRAINING MODELS

LESSON 1: INTRODUCTION TO EXPERIMENTS
LESSON 2: TRAINING AND REGISTERING MODELS

LESSON 3: LAB 3A – “RUNNING EXPERIMENTS”
LESSON 4: LAB 3B – “TRAINING MODELS”

ACTIVITY GUIDE (LAB): RUNNING EXPERIMENTS, TRAINING AND REGISTERING MODEL
QUIZ: RUNNING EXPERIMENTS AND TRAINING MODELS


MODULE 4: WORKING WITH DATA

LESSON 1: WORKING WITH DATASTORES
LESSON 2: LOGISTIC REGRESSION

LESSON 3: WORKING WITH DATASETS
LESSON 4: LAB 4A – “WORKING WITH DATASTORES”
LESSON 5: LAB 4B – “WORKING WITH DATASETS”


ACTIVITY GUIDE (LAB): IMPORTING DATA INTO AZURE DATASTORE USING AZURE DATA FACTORY
ACTIVITY GUIDE (LAB): WORKING WITH DATASTORES & DATASETS






Activity Guide II
Step-By-Step Guide to Register for Oracle Cloud Trial Account
Activity Guide V
Create Connect Load Data Administer & Autonomous Database
Activity Guide IX
Migrate (Lift & Shift) On-Premise Database to Cloud (OCI)

Course Breakdown

What You Will Learn In This Training?

Step by Step Hands-On Guides

Double-click to edit this text

MODULE 1: GETTING STARTED WITH AZURE MACHINE LEARNING

LESSON 1:  INTRODUCTION TO MODULE AND WHAT IS AZURE ML
LESSON 2: AZURE ML WORKSPACE AND ML STUDIO

LESSON 3: OVERVIEW DIAGRAM
LESSON 4: AZURE ML TOOLS
LESSON 5: LAB 1A - CREATING AN AZURE MACHINE LEARNING WORKSPACE
LESSON 6: LAB 1B - INTRO TO THE AZURE ML SDK

ACTIVIT GUIDE: CREATING AN AZURE MACHINE LEARNING WORKSPACE
ACTIVITY GUIDE: WORKING WITH AZURE MACHINE LEARNING TOOLS
QUIZ: AZURE MACHINE LEARNING


MODULE 2: NO CODE MACHINE LEARNING WITH DESIGNER

LESSON 1: LOGISTIC REGRESSION ALGORITHM
LESSON 2: CONFUSION MATRIX
LESSON 3: ROC CURVE AND AREA UNDER CURVE
LESSON 4: NORMALIZATION
LESSON 5: LAB OVERVIEW
LESSON 6: TRAINING MODELS WITH DESIGNER
LESSON 7: PUBLISHING MODELS WITH DESIGNER

LESSON 8: LAB2A - CREATING A TRAINING PIPELINE WITH THE AZURE ML DESIGNER
LESSON 9: LAB2B - USING THE VISUAL DESIGNER

ACTIVITY GUIDE: RUN AN AUTOMATED ML EXPERIMENT
ACTIVITY GUIDE: DEPLOY AND TEST THE PREDICTIVE SERVICE (AUTOMATED ML)
ACTIVITY GUIDE: CREATING A TRAINING PIPELINE WITH THE AZURE ML DESIGNER
ACTIVITY GUIDE: 
DEPLOYING A SERVICE WITH THE AZURE ML DESIGNER
QUIZ:
 
NO-CODE MACHINE LEARNING WITH DESIGNER


MODULE 3: RUNNING EXPERIMENTS AND TRAINING MODELS

LESSON 1: INTRODUCTION TO EXPERIMENTS
LESSON 2: TRAINING AND REGISTERING MODELS

LESSON 3: LAB 3A – “RUNNING EXPERIMENTS”
LESSON 4: LAB 3B – “TRAINING MODELS”

ACTIVITY GUIDE (LAB): RUNNING EXPERIMENTS, TRAINING AND REGISTERING MODEL
QUIZ: RUNNING EXPERIMENTS AND TRAINING MODELS


MODULE 4: WORKING WITH DATA

LESSON 1: WORKING WITH DATASTORES
LESSON 2: LOGISTIC REGRESSION

LESSON 3: WORKING WITH DATASETS
LESSON 4: LAB 4A – “WORKING WITH DATASTORES”
LESSON 5: LAB 4B – “WORKING WITH DATASETS”


ACTIVITY GUIDE (LAB): IMPORTING DATA INTO AZURE DATASTORE USING AZURE DATA FACTORY
ACTIVITY GUIDE (LAB): WORKING WITH DATASTORES & DATASETS


MODULE 5: WORKING WITH COMPUTE

LESSON 1: WORKING WITH ENVIRONMENTS
LESSON 2: WORKING WITH COMPUTE TARGETS

LESSON 3: LAB5A- WORKING WITH ENVIRONMENTS
LESSON 4: LAB5B - WORKING WITH COMPUTE TARGETS

ACTIVITY GUIDE: WORKING WITH ENVIRONMENTS & 
COMPUTE TARGETS


MODULE 6: ORCHESTRATING OPERATIONS WITH PIPELINE

LESSON 1: INTRODUCTION TO PIPELINES
LESSON 2: PUBLISHING AND RUNNING PIPELINES

LESSON 3: LAB 6A- “CREATING A PIPELINE” 
LESSON 4: LAB 6B- “PUBLISHING A PIPELINE”

ACTIVITY GUIDE (LAB): CREATING & PUBLISHING A PIPELINE


MODULE 7: DEPLOYING AND CONSUMING MODELS


LESSON 1: REAL-TIME INFERENCING
LESSON 2: BATCH INFERENCING
LESSON 3: LAB 7A - CREATING A REAL-TIME INFERENCING SERVICES
LESSON 4: LAB 7B - CREATING A BATCH INFERENCING SERVICES

ACTIVITY GUIDE: CREATING A REAL-TIME INFERENCING
 BATCH INFERENCING SERVICE



MODULE 8: TRAINING OPTIMAL MODELS


LESSON 1: HYPERPARAMETER TUNING
LESSON 2: AUTOMATED MACHINE LEARNING

LESSON 3: TUNING HYPERPARAMETERS
LESSON 4: USING AUTOMATED MACHINE LEARNING

ACTIVITY GUIDE: TUNING HYPERPARAMETERS USING AUTOMATED MACHINE LEARNING


MODULE 9: RESPONSIBLE MACHINE LEARNING


LESSON1: INTRODUCTION TO MODEL INTERPRETATION
LESSON2: USING MODEL EXPLAINERS

LESSON 3: LAB 9A- “REVIEWING AUTOMATED MACHINE LEARNING EXPLANATIONS”
LESSON 4: LAB 9B- “INTERPRETING MODELS”


ACTIVITY GUIDE (LAB): DETECT & MITIGATE UNFAIRNESS


MODULE 10: MONITORING MODELS


LESSON1: MONITORING MODELS WITH APPLICATION INSIGHTS
LESSON2: MONITORING DATA DRIFT

LESSON 3: LAB 10A- “MONITORING A MODEL WITH APPLICATION INSIGHTS”
LESSON 4: LAB 10B- “MONITORING DATA DRIFT”

ACTIVITY GUIDE (LAB): MONITORING A MODEL WITH APPLICATION INSIGHTS & DATA DRIFT







COURSE BREAKDOWN

A Little Bit About Trainer

Atul Kumar

Author & Cloud Expert

ENROLL NOW!

Oracle ACE & Cloud Expert

Benefits Of K21Academy Membership!

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New content added regularly 

Learn Anytime & Anywhere

Step By Step Activity Guides

Bonus Live Sessions

Dedicated Live WhatsApp Support 

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Benefits Of K21Academy Membership!

Learn From Basic Concepts

Learn Anytime & Anywhere

Monthly Subscription Model

New content added regularly 

Bonus Live Sessions

Step By Step Activity Guides

Dedicated Live WhatsApp Support

Pay Now & Get Instant Access Of The Course!

Atul Kumar

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Atul Kumar

Author & Cloud Expert

[DP-100] Designing and Implementing a Data Science Solution on Azure                (Under Development)

MODULE 5: WORKING WITH COMPUTE

LESSON 1: WORKING WITH ENVIRONMENTS
LESSON 2: WORKING WITH COMPUTE TARGETS

LESSON 3: LAB5A- WORKING WITH ENVIRONMENTS
LESSON 4: LAB5B - WORKING WITH COMPUTE TARGETS

ACTIVITY GUIDE: WORKING WITH ENVIRONMENTS & 
COMPUTE TARGETS

MODULE 6: ORCHESTRATING OPERATIONS WITH PIPELINE

LESSON 1: INTRODUCTION TO PIPELINES
LESSON 2: PUBLISHING AND RUNNING PIPELINES

LESSON 3: LAB 6A- “CREATING A PIPELINE” 
LESSON 4: LAB 6B- “PUBLISHING A PIPELINE”

ACTIVITY GUIDE (LAB): CREATING & PUBLISHING A PIPELINE


MODULE 7: DEPLOYING AND CONSUMING MODELS


LESSON 1: REAL-TIME INFERENCING
LESSON 2: BATCH INFERENCING
LESSON 3: LAB 7A - CREATING A REAL-TIME INFERENCING SERVICES
LESSON 4: LAB 7B - CREATING A BATCH INFERENCING SERVICES

ACTIVITY GUIDE: CREATING A REAL-TIME INFERENCING
 BATCH INFERENCING SERVICE


MODULE 8: TRAINING OPTIMAL MODELS


LESSON 1: HYPERPARAMETER TUNING
LESSON 2: AUTOMATED MACHINE LEARNING

LESSON 3: TUNING HYPERPARAMETERS
LESSON 4: USING AUTOMATED MACHINE LEARNING

ACTIVITY GUIDE: TUNING HYPERPARAMETERS USING AUTOMATED MACHINE LEARNING


MODULE 9: RESPONSIBLE MACHINE LEARNING


LESSON1: INTRODUCTION TO MODEL INTERPRETATION
LESSON2: USING MODEL EXPLAINERS

LESSON 3: LAB 9A- “REVIEWING AUTOMATED MACHINE LEARNING EXPLANATIONS”
LESSON 4: LAB 9B- “INTERPRETING MODELS”


ACTIVITY GUIDE (LAB): DETECT & MITIGATE UNFAIRNESS


MODULE 10: MONITORING MODELS


LESSON1: MONITORING MODELS WITH APPLICATION INSIGHTS
LESSON2: MONITORING DATA DRIFT

LESSON 3: LAB 10A- “MONITORING A MODEL WITH APPLICATION INSIGHTS”
LESSON 4: LAB 10B- “MONITORING DATA DRIFT”

ACTIVITY GUIDE (LAB): MONITORING A MODEL WITH APPLICATION INSIGHTS & DATA DRIFT