GenAI Architecture and Toolchain Overview

Understand how GenAI fits into enterprise tech stacks.

Pillar

Technology – Platforms, Tools, Infrastructure & Productivity

Overview

This course provides a comprehensive introduction to the architecture and toolchains that power Generative AI solutions within enterprise environments. Participants will explore how GenAI integrates with existing technology infrastructures, including cloud platforms, APIs, and data pipelines, enabling efficient deployment and scaling.

Learning Objectives

Participants will be able to:

• Understand core components of GenAI architectures

• Identify suitable tools and platforms for building GenAI applications

• Explore integration points within enterprise IT stacks

• Analyze deployment strategies and infrastructure considerations

• Address scalability, security, and maintenance challenges

Target Audience

• AI architects and solution designers

• Cloud engineers and infrastructure managers

• Software developers and system integrators

• Technical product managers and technology strategists

Duration

20 hours over 4 days (5 hours per day)

Delivery Format

• Instructor-led sessions with architectural case studies

• Hands-on demonstrations of GenAI toolchains

• Group discussions on deployment best practices

Materials Provided

• Architecture diagrams and integration blueprints

• Toolchain comparison guides and vendor profiles

• Deployment checklists and security frameworks

• Certificate of completion

Outcomes

• Design scalable GenAI solutions integrated with enterprise systems

• Select appropriate tools and platforms to meet business needs

• Implement best practices for secure and maintainable GenAI deployments

• Communicate architectural decisions to technical and non-technical stakeholders

Outline / Content

Day 1: Introduction to GenAI Architecture

• Overview of Generative AI technologies and components

• Core building blocks: models, APIs, data sources, and compute resources

• Architecture patterns for AI solutions

Day 2: Toolchains for GenAI Development

• Popular GenAI platforms and frameworks (OpenAI, Azure AI, Anthropic, etc.)

• Integration with cloud services and data pipelines

• Customization and fine-tuning of large language models

Day 3: Deployment and Infrastructure Considerations

• Strategies for deploying GenAI models at scale

• Security, privacy, and compliance in AI infrastructure

• Monitoring, logging, and maintenance

Day 4: Case Studies and Best Practices

• Real-world enterprise GenAI architecture examples

• Challenges and solutions in complex environments

• Workshop: Design a GenAI architecture for a given business scenario

• Group presentations and feedback