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Multi-Cloud Integration

H54FTS

Course ID

H54FTS

Duration

4 days

Format

ILT/VILT

Schedule, pricing & registration

Browse related courses

Overview

This training equips you with the skills to integrate, secure, optimize, and automate workloads across multi-cloud environments using HPE Morpheus Software, SecOps, FinOps, and AIOps practices. The course begins with a deep dive into HPE Morpheus Software as a multi-cloud management platform, enabling orchestration and self-service provisioning across AWS, Azure, GCP, and on-premises environments. You then advance into SecOps, learning how to apply security baselines, implement zero-trust principles, and automate incident response workflows.


The program continues with FinOps, focusing on cost management, allocation, and optimization strategies to ensure financial accountability in multi-cloud operations. Finally, learners explore AIOps for predictive scaling, automated root cause analysis, and closed-loop remediation. Through a combination of theory and hands-on labs, you gain the ability to design, manage, and optimize multi-cloud environments that are secure, cost-efficient, and resilient.


This course includes an initial discussion to understand participant background, set up prerequisites, and tailor the examples and exercises in the course according to audience level.

Course ID

H54FTS

Duration

4 days

Format

ILT/VILT

Schedule, pricing & registration

Browse related courses

  • Audience

    This course is ideal for:

    • Infrastructure professionals looking to integrate multi-cloud environments
    • Data and AI professionals
    • Software and DevOps professionals
    • IT administrators and security professionals
    • Team leaders and technical managers
    • AI enthusiasts

  • Prerequisites

    There are no prerequisites for the course, but we recommend that you have familiarity with any public or private cloud to ensure that you enter the course with a solid foundation, maximizing your ability to understand and engage with the material.

  • Objectives

    After completing this course, you should be able to:

    • Understand the architecture and capabilities of HPE Morpheus Software as a multi-cloud management platform
    • Provision, orchestrate, and manage AI workload environments
    • Apply SecOps practices, including baseline enforcement, zero-trust identity, and automated incident response
    • Implement FinOps principles for cost allocation, chargeback, showback, forecasting, and optimization
    • Build real-time dashboards and reports to monitor and govern multi-cloud spending
    • Apply AIOps for anomaly detection, event correlation, predictive scaling, and self-healing systems
    • Automate operations across security, financial, and performance dimensions in multi-cloud environments
    • Align multi-cloud integration with enterprise governance, compliance, and operational best practices

  • Course outline

Module 1: Introduction to Multi-Cloud Strategy

Topic

  • Multi-cloud vs. hybrid cloud strategies
  • Common challenges: cost, security, and governance
  • HPE Morpheus Software platform overview and capabilities
  • Enterprise use cases for multi-cloud adoption

Objectives

  • Understand the drivers for multi-cloud adoption and integration
  • Explore challenges of managing workloads across diverse cloud platforms
  • Learn about HPE Morpheus Software as a multi-cloud management platform

Module 2: Morpheus Deep Dive and Integration

Topic

  • HPE Morpheus Software architecture and components
  • Provisioning workloads across AWS, Azure, GCP, and private cloud
  • Self-service catalog and policy enforcement
  • Automation scripting and integration with CI/CD pipelines.

Objectives

  • Gain hands-on understanding of HPE Morpheus Software for orchestration.
  • Learn integration workflows for on-prem and public cloud providers.
  • Explore HPE Morpheus Software role in automation and self-service provisioning.

Module 3: SecOps in Multi-Cloud Environments

Topic

  • Security monitoring in multi-cloud
  • Incident detection and automated response workflows
  • Policy enforcement and compliance baselines
  • Tools and integrations for SecOps in HPE Morpheus Software

Objectives

  • Learn SecOps fundamentals for multi-cloud security
  • Apply monitoring, detection, and incident response strategies
  • Understand compliance challenges across providers

Module 4: Advanced Security and Zero Trust

Topic

  • Zero-trust security model
  • Multi-factor authentication and identity federation
  • Encryption strategies for multi-cloud storage
  • Threat intelligence and proactive defense

Objectives

  • Apply zero-trust principles in multi-cloud environments
  • Explore advanced identity and access management techniques
  • Learn data protection strategies across providers

Module 5: FinOps Principles and Cost Optimization

Topic

  • FinOps lifecycle and maturity model
  • Cloud cost allocation and budgeting
  • Chargeback/showback mechanisms
  • Tools for monitoring and optimizing spend

Objectives

  • Learn the principles of FinOps for managing cloud costs
  • Apply cost allocation, chargeback, and showback strategies
  • Explore cost optimization tools and practices

Module 6: Implementing FinOps in Multi-Cloud

Topic

  • Morpheus integration with FinOps tools
  • Automated spend dashboards
  • Forecasting and anomaly detection
  • Governance and policy-based cost control

Objectives

  • Integrate FinOps practices into HPE Morpheus Software and cloud platforms
  • Automate reporting and forecasting across environments
  • Learn best practices for cost governance

Module 7: AIOps Fundamentals for Multi-Cloud

Topic

  • AIOps overview and use cases
  • Applying machine learning for event correlation
  • Predictive scaling and capacity planning
  • Integrating AIOps with HPE Morpheus Software and observability tools

Objectives

  • Understand the role of AIOps in cloud operations
  • Explore how AI enhances monitoring and root cause analysis
  • Learn about anomaly detection and predictive analytics

Module 8: Advanced AIOps and Automation

Topic

  • Closed-loop automation design
  • Automated remediation strategies
  • Case studies: self-healing workloads
  • Future trends in multi-cloud AIOps

Objectives

  • Implement closed-loop automation with AIOps
  • Explore self-healing systems in multi-cloud environments
  • Design AI-driven incident response workflows

5 reasons to choose HPE as your training partner

  1. Learn HPE and in-demand IT industry technologies from expert instructors.
  2. Build career-advancing power skills.
  3. Enjoy personalized learning journeys aligned to your company’s needs.
  4. Choose how you learn: in-person , virtually , or online —anytime, anywhere.
  5. Sharpen your skills with access to real environments in virtual labs .

Explore our simplified purchase options, including HPE Education Learning Credits .

  • Lab outline

Lab 1: Exploring Morpheus Platform
  • Log into Morpheus, review its interface, and explore available integrations with cloud providers

Lab 2: Provisioning Multi-Cloud Workloads
  • Deploy sample workloads across AWS, Azure, and on-prem environments using Morpheus orchestration

Lab 3: Creating a Self-Service Catalog
  • Build a self-service catalog item in Morpheus for developers to request pre-approved workloads

Lab 4: Implementing Security Baselines
  • Apply baseline security policies for multi-cloud resources and validate enforcement

Lab 5: Zero Trust Identity Integration
  • Configure multi-factor authentication and identity federation across multiple clouds

Lab 6: Automated Incident Response
  • Set up an automated response workflow for security incidents detected in a multi-cloud environment

Lab 7: FinOps Cost Dashboard
  • Build a real-time cost monitoring dashboard with spend allocation by department and project

Lab 8: Chargeback and Showback in Morpheus
  • Configure cost allocation rules and generate chargeback/showback reports for stakeholders

Lab 9: Forecasting and Anomaly Detection
  • Use integrated FinOps tools to forecast spend and detect anomalous cloud usage patterns

Lab 10: AIOps Event Correlation
  • Implement event correlation in Morpheus to reduce noise and identify root causes in incidents

Lab 11: Predictive Scaling
  • Configure predictive scaling policies for workloads using AIOps insights

Lab 12: Self-Healing Automation
  • Design and test a closed-loop automation workflow to remediate a simulated failure automatically

Learn more

HPE.com/ww/learncloud

© Copyright 2025 Hewlett Packard Enterprise Development LP. The information contained herein is subject to change without notice. The only warranties for Hewlett Packard Enterprise products and services are set forth in the express warranty statements accompanying such products and services. Nothing herein should be construed as constituting an additional warranty.

Hewlett Packard Enterprise shall not be liable for technical or editorial errors or omissions contained herein.

All third-party marks are property of their respective owners.

a50014102enw, H54FTS A.00, November 2025

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