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Designing Edge to AI Applications on Hybrid Data Cloud Course

  • Duration: 32 hours
  • Exam Voucher: Yes
  • Language: English
  • Course Delivery : E - Learning Access
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Course Overview

The Cloudera Data Platform: Designing Edge to AI Applications on Hybrid Data Cloud course is designed to empower data architects, solution designers, and enterprise technologists with the skills to architect and build end-to-end data applications that span edge environments, centralized analytics, and AI workflows on the Hybrid Data Cloud (HDC). Participants will learn how to integrate edge data ingestion, real-time processing, governance, analytics, and machine learning capabilities using CDP services. The training emphasizes architectural best practices, scalability, security, and real-world enterprise design patterns that support data-driven decision-making from edge to AI.

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Course Details

  • Deep mastery of hybrid cloud and edge-to-AI architectural patterns
  • Ability to design scalable data pipelines and AI-enabled workflows
  • Enhanced expertise in integrating edge sources with core analytics platforms
  • Knowledge of governance, security, and compliance in distributed systems
  • Hands-on insights into Cloudera HDC services for analytics and machine learning
  • Streamlined readiness for advanced architectural and leadership roles
  • Open to cloud architects, data architects, enterprise solution designers, and technical leaders
  • Ideal for professionals responsible for strategic data platform design
  • Prior experience with cloud environments, distributed systems, and data analytics is recommended
  • Familiarity with big data platforms, AI/ML workloads, and edge technologies is beneficial
  • Corporate sponsorship or group participation is encouraged
  • Master foundational and advanced design principles for hybrid data cloud applications
  • Understand how to ingest and process edge data for analytics and AI workloads
  • Gain expertise in designing end-to-end data applications with security, governance, and scalability
  • Learn integration patterns for edge sources, centralized data lakes, and AI platforms
  • Develop capabilities in deploying AI models and analytics pipelines in hybrid environments
  • Achieve readiness to lead architectural initiatives that span edge to AI
  • Introduction to Hybrid Data Cloud & Edge Analytics
  • Architectural Components of CDP and HDC
  • Edge Data Ingestion & Preprocessing Patterns
  • Real-Time Data Processing & Streaming Workflows
  • Data Governance & Security for Hybrid Architectures
  • Analytics Pipelines & Scalable Data Workloads
  • Machine Learning & AI Integration on CDP
  • Hybrid Deployment Patterns & Best Practices
  • Operational Considerations in Hybrid Environments
  • Hands-On Labs and Enterprise Use Cases
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What Our Corporate Clients Say

Trusted by leading organizations worldwide

James Abot
★★★★★

Much obliged to you for this course. I get know understanding and information in utilizing various types of online apparatuses which are helpful and viable. I'll utilize some of them during my exercises. Also, heaps of much obliged.

Sayali Patil
★★★★★

This was a very immersive and interesting course from NovelVista a lot of self-learning to be done on your own to really understand and put together into practice the technology into your own course and workflow.

Amit Shrivastav
★★★★★

It was truly an amazing learning session. I did have my apprehensions before signing up, but trainer made me feel so comfortable from the time we started the session till the very end of it.Thanks for this amazing experience.

Frequently Asked Questions

What is included in the Designing Edge to AI Applications Course?+

The program includes structured modules, expert-led sessions, architect-level use cases, hands-on labs, and certification preparation support.

Is the Cloudera Hybrid Data Cloud certification globally recognized?+

Yes, Cloudera certifications are globally recognized and valued for cloud, data, and AI architecture roles.

Who should enroll in this course?+

This course is ideal for cloud architects, data architects, enterprise solution designers, and leaders responsible for hybrid data solutions.

How is the training delivered?+

Training is delivered through live virtual sessions, structured digital modules, hands-on labs, and dedicated learner support.

Can the course be customized for organizational needs?+

Yes, the course can be tailored to align with your organization’s data architecture, governance standards, and technology priorities.

Are trainers experienced professionals?+

Yes, all trainers are certified cloud and data architecture experts with real-world experience building edge-to-AI applications on hybrid platforms.