Skip to Content
View all events

Enterprise Architecture Modernization with Generative AI, RAG, and Agents

Published by O'Reilly Media, Inc.

Intermediate content levelIntermediate

Integrate AI and automation for innovation, risk mitigation, and measurable ROI

Course outcomes

  • Understand how to use enterprise architecture (EA) AI principles to build a long-term IT strategy that aligns with your business goals
  • Learn how to craft a baseline architecture and a target architecture using established frameworks enhanced with AI-driven capabilities
  • Discover how to implement your architecture strategy in the cloud using modern cloud adoption frameworks and SAFe Agile enterprise architecture

Course description

Join expert Rohit Bhardwaj to gain an in-depth understanding of AI-driven enterprise architecture and learn how to create a technology road map that propels your organization toward digital transformation. You’ll learn how to integrate cutting-edge technologies into enterprise architecture, including generative AI, assistive agents, predictive analytics, and next-generation data architectures (vector and graph databases). By blending traditional enterprise architecture principles with advanced AI and automation capabilities, you’ll gain both the theoretical frameworks and practical strategies needed to drive innovation, mitigate risks, and deliver measurable ROI.

NOTE: With today’s registration, you’ll be signed up for both sessions. Although you can attend either of the sessions individually, we recommend participating in both.

What you’ll learn and how you can apply it

  • Apply EA principles to create a digital transformation roadmap with AI at its core
  • Lead architecture strategy, governance, portfolio management, architecture review boards, and manage technology lifecycles for large projects
  • Adopt cloud technologies and build a cloud-native architecture vision integrating next-generation AI tools

This live event is for you because...

  • You’re looking to build a long-term IT strategy that aligns with your business goals and incorporates AI.
  • You want to learn how to use enterprise architecture to create a road map for digital transformation, and implement your strategy in the cloud with AI at the helm.

Prerequisites

  • An understanding of software architecture and design principles

Recommended preparation:

Recommended follow-up:

Schedule

The time frames are only estimates and may vary according to how the class is progressing.

Day 1: AI Integration from Strategy to Implementation

AI enterprise architecture road map (30 minutes)

  • Presentation and hands-on exercise: Overview of enterprise architecture domains with AI integration; enhancing EA maturity models by generative AI and intelligent automation; the role of EA in digital transformation and AI-driven decision-making; comparing traditional EA frameworks with AI-enhanced approaches (TOGAF, Zachman, FEAF)

Digital transformation in the AI era (30 minutes)

  • Presentation and hands-on exercise: Defining digital transformation with AI, assistive agents, and predictive analytics; exploring key components and frameworks for digital transformation enhanced by AI; analyzing a digital transformation case study with AI-driven insights
  • Break

Digital business AI architecture (60 minutes)

  • Presentation and hands-on exercise: Aligning business strategy and goals with AI/ML capabilities; capability mapping, Jobs To Be Done, process mapping, value stream mapping, and customer journeys; guardrails in an AI context; industry-specific capabilities—manufacturing, finance, SaaS; applying digital business modeling with an AI twist to a case study
  • Break

Application architecture and modernization (60 minutes)

  • Presentation and hands-on exercise: Transitioning from baseline to target architectures enriched with AI components using RAG and vector databases; identifying capability gaps and introducing generative AI solutions; mapping application portfolios to integrate AI-based services
  • Break

AI and data architecture and information systems (40 minutes)

  • Presentation and hands-on exercise: Developing data models for AI training and deployment; implementing master data management, data quality, and compliance (e.g., GDPR, bias mitigation); integration architectures—leveraging vector and graph databases for real-time AI inference; enhancing an existing case study with advanced data architecture techniques

Wrap-up and Q&A (20 minutes)

Day 2: Applying AI to Enterprise Architecture Patterns

Information systems architecture and integration (50 minutes)

  • Presentation and hands-on exercise: Structuring information flows to enable real-time AI inference and event-driven architectures; integrating vector databases, graph databases, and analytical platforms for AI readiness; enhancing integration patterns to support AI model lifecycle management
  • Break

Technology architecture for AI and data (50 minutes)

  • Presentation and hands-on exercise: Planning infrastructure and cloud architecture for large-scale model training and inference like AWS Bedrock, multi-agent collaboration, and Salesforce Data Cloud plus Agentforce; establishing technology standards and policies that encourage rapid AI experimentation; employing infrastructure-as-code and DevOps practices for continuous delivery of AI services
  • Break

Cloud adoption frameworks and AI integration (30 minutes)

  • Presentation and hands-on exercise: AWS CAF 3.0, Microsoft Cloud Adoption Framework for Azure, and Google Cloud Adoption Framework from an AI perspective; strategies for multicloud and multi-agent deployment of AI workloads; evaluating and selecting the best cloud migration strategy for an AI-driven solution

Guardrails, governance, implementation, and change management (30 minutes)

  • Presentation and hands-on exercise: Establishing governance structures, architecture review boards, and technical reference models that address AI ethics, compliance, and responsible use; change management techniques—readiness assessment, communication strategy, and risk mitigation for AI transformation; conducting a gap analysis and planning a change management strategy for an AI-enabled transformation
  • Break

Agile and emerging methodologies (25 minutes)

  • Presentation and hands-on exercise: Integrating SAFe Agile principles with generative AI and assistive coding tools; employing IDEO design methodologies for AI-driven co-creation; revisiting traditional frameworks (Zachman, FEAF) with AI overlays; role-playing and case studies on agile transformation with AI enhancements

Enterprise architecture and AI road map case studies (25 minutes)

  • Presentation and hands-on exercise: Exploring how a global insurance company leverages GPT-based claims processing and fraud detection; reviewing how a manufacturing giant uses predictive maintenance agents, AR/VR training, and generative design tools; developing a 3- to 5-year technology road map that integrates generative AI, vector/graph databases, Copilot GPTs, AR/VR, edge computing, and blockchain; analyzing lessons learned, pitfalls, and critical success factors from real-world examples

Wrap-up and Q&A (20 minutes)

Your Instructor

  • Rohit Bhardwaj

    Rohit Bhardwaj is the CTO and director of AI architecture at Salesforce, where he leads strategy and design for enterprise-scale AI systems, multi-agent platforms, and data cloud integrations. He has extensive experience architecting multitenant, cloud native solutions using resilient microservices, service-oriented architectures, and the AWS stack.

    As an Agentforce expert, Rohit specializes in generative AI, retrieval-augmented generation (RAG), and AI-powered business transformation, with a strong focus on trust, governance, and resilience in AI system design. He conceptualizes and delivers high-value cloud solutions that reduce costs, increase efficiencies, and scale across global enterprises.

    A regular speaker at No Fluff Just Stuff, UberConf, Richweb, GIDS, and international conferences, Rohit is widely recognized for his real-time analytics, system design mastery, and transformative AI insights. He’s also an accomplished author and educator.

    Rohit holds an MBA in corporate entrepreneurship from Babson College and master’s degrees in computer science from both Boston University and Harvard University. As a visionary leader, he builds strategic roadmaps, mentors global architecture teams, and drives research initiatives—making him a trusted advisor at the intersection of AI, cloud platforms, and business strategy.

    linkedinXlinksearch

Skills covered

  • Enterprise Architecture
  • Generative AI