Learn How to Create AI Applications with Cloudera Data Platform on Hybrid Data Cloud

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Cloudera Data Platform: Designing Edge to AI Applications on Hybrid Data Cloud Course Overview

Cloudera Data Platform: Designing Edge to AI Applications on Hybrid Data Cloud course is designed to provide a comprehensive overview of Cloudera’s suite of big-data solutions that enable organizations to effectively deploy and operate workloads across hybrid clouds. The course provides an overview of the key components of the Cloudera platform and practical advice on how to design workloads that will run effectively in a hybrid cloud system. It covers a wide range of topics, including configuring workloads for both on-premise and cloud-native architectures, best practices for cloud security and governance, and leveraging machine learning and AI capabilities to drive insights and actionable results. Additionally, it provides hands-on examples for creating and managing both simple and complex data sets using the Cloudera platform. By the end of the course, students will have a comprehensive understanding of the Cloudera Data Platform and the ability to design and deploy high-value applications that run across a hybrid cloud environment.

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


The 1-on-1 Advantage

Get 1-on-1 session with our expert trainers at a date & time of your convenience.

Flexible Dates

Start your session at a date of your choice-weekend & evening slots included, and reschedule if necessary.

4-Hour Sessions

Training never been so convenient- attend training sessions 4-hour long for easy learning.

Destination Training

Attend trainings at some of the most loved cities such as Dubai, London, Delhi(India), Goa, Singapore, New York and Sydney.
Live Online Training (Duration : 32 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 for taking the Cloudera Data Platform: Designing Edge to AI Applications on Hybrid Data Cloud Training, however, it will be helpful to have a basic understanding of data engineering principles and cloud infrastructure.

Target Audience

The Cloudera Data Platform: Designing Edge to AI Applications on Hybrid Data Cloud training course is suitable for software developers, data scientists, analytics professionals and DevOps engineers looking to gain a comprehensive understanding of how to develop and manage AI applications running across hybrid data clouds
This course caters to developers and IT professionals who need to learn how to build, deploy and manage AI applications running across hybrid data clouds
Additionally, the course is suitable for those with an understanding of a modern programming language and data storage technologies such as Apache Hadoop or Apache Cassandra
This course is suitable for those with basic experience in cloud computing, networks and application development, as well as in-depth knowledge of machine learning and big data processing topics

Learning Objectives of Cloudera Data Platform: Designing Edge to AI Applications on Hybrid Data Cloud

1. Learn how to design and deploy data pipelines in a hybrid-cloud to support AI application development.
2. Understand how to collect, store, integrate, and move data in clouds, databases, and applications at the edge.
3. Utilize the Cloudera Data Platform (CDP) to enable data agility, scalability, and governance.
4. Gain real-world, hands-on experience using Cloudera Engineering tools to streamline and automate data engineering.
5. Explore techniques for efficient deployment of MLOps workflows and model deployment.
6. Understand the techniques and technologies for encompassing data consistency and accuracy across data sets.
7. Learn to leverage native analytics and data visualization tools to gain insights at scale.
8. Develop the skills to deploy and manage all components of a distributed data platform.


You can request a refund if you do not wish to enroll in the course.
1-on-1 Public - Select your start date. Other students can be merged.
1-on-1 Private - Select your start date. You will be the only student in the class.
Yes, course requiring practical include hands-on labs.
You can buy online from the page by clicking on "Buy Now". You can view alternate payment method on payment options page.
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Yes, we do offer corporate training More details
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Yes, we also offer weekend classes.
Yes, Koenig follows a BYOL(Bring Your Own Laptop) policy.
It is recommended but not mandatory. Being acquainted with the basic course material will enable you and the trainer to move at a desired pace during classes.You can access courseware for most vendors.
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Buy-Now. Pay-Later option is available using credit card in USA and India only.
You will receive the digital certificate post training completion via learning enhancement tool after registration.
Yes you can.
Yes, we do. For details go to flexi
You can pay through debit/credit card or bank wire transfer.
Yes you can request your customer experience manager for the same.

Prices & Payments

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Travel and Visa

Yes we do after your registration for course.

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Yes, if you send 4 participants, we can offer an exclusive training for them which can be started from Any Date™ suitable for you.
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“It is an interesting story and dates back half a century. My father started a manufacturing business in India in the 1960's for import substitute electromechanical components such as microswitches. German and Japanese goods were held in high esteem so he named his company Essen Deinki (Essen is a well known industrial town in Germany and Deinki is Japanese for electric company). His products were very good quality and the fact that they sounded German and Japanese also helped. He did quite well. In 1970s he branched out into electronic products and again looked for a German name. This time he chose Koenig, and Koenig Electronics was born. In 1990s after graduating from college I was looking for a name for my company and Koenig Solutions sounded just right. Initially we had marketed under the brand of Digital Equipment Corporation but DEC went out of business and we switched to the Koenig name. Koenig is difficult to pronounce and marketeers said it is not a good choice for a B2C brand. But it has proven lucky for us.” – Says Rohit Aggarwal (Founder and CEO - Koenig Solutions)
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