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Coursera

Hyperautomation with Salesforce Ecosystem

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Overview

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Hyperautomation represents the evolution beyond simple workflow automation into intelligent, enterprise-grade solutions. This advanced course equips Salesforce consultants and architects to design comprehensive hyperautomation strategies combining Flow, MuleSoft, Einstein AI, and RPA technologies. You'll master architecting intelligent automation landscapes that span departments and systems, creating self-optimizing processes that deliver measurable business outcomes. Through real-world case studies from Unilever, T-Mobile, and Schneider Electric, you'll learn proven patterns for scaling automation while establishing governance frameworks. Hands-on projects challenge you to solve complex consulting scenarios—from automation assessments to complete transformations. This course is for Salesforce admins, consultants, architects, and automation specialists looking to design and scale enterprise-grade hyperautomation solutions. Learners should be familiar with intermediate Salesforce admin skills with hands-on Flow experience and a basic understanding of APIs and integration concepts. By completion, you'll lead six-figure initiatives, position yourself as a trusted advisor, and deliver ROI-driven solutions that transform enterprise operations within the Salesforce ecosystem.

Syllabus

  • Architecting Hyperautomation Foundations in Salesforce
    • This module establishes the strategic foundation for hyperautomation within the Salesforce ecosystem. Learners explore the hyperautomation maturity model, learn to assess organizational readiness, and design integration architectures that combine Flow, MuleSoft, and Einstein AI. The module emphasizes strategic thinking for consultants and architects who need to envision end-to-end automation landscapes.
  • Implementing Intelligent Automation & RPA Integration
    • This module moves from architecture to implementation, focusing on building intelligent automation solutions that combine Salesforce native capabilities with RPA and AI. Learners master Einstein AI features, understand when to deploy RPA vs. native automation, and implement intelligent document processing workflows that demonstrate true hyperautomation value.
  • Governance, Change Management & Scaling Hyperautomation
    • This module addresses the critical success factors for sustainable hyperautomation: governance frameworks, change management strategies, performance measurement, and scaling automation across the enterprise. Learners develop consulting skills for managing organizational transformation, establishing centers of excellence, and ensuring long-term automation value realization.

Taught by

Chandan Sharma

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