Building & Integrating GenAI APIs

Connect business systems to GenAI models using API workflows.

Pillar

Technology – Platforms, Tools, Infrastructure & Productivity

Overview

This course offers practical guidance on building and integrating Generative AI APIs from leading providers such as OpenAI, Azure, and Anthropic. Participants will learn how to connect GenAI models to existing business systems through API workflows, enabling automation, enhanced user experiences, and data-driven insights.

Learning Objectives

Participants will be able to:

• Understand the fundamentals of GenAI APIs and their capabilities

• Authenticate and securely connect to OpenAI, Azure, and Anthropic APIs

• Design and implement API workflows to integrate GenAI functionality into applications

• Manage API usage, rate limits, and error handling

• Monitor and optimize API performance for business needs

Target Audience

• Software developers and API engineers

• Cloud architects and integration specialists

• Technical project managers and solution architects

• AI product managers and system integrators

Duration

20 hours over 4 days (5 hours per day)

Delivery Format

• Interactive coding sessions and live API demonstrations

• Hands-on labs building integration workflows

• Group discussions on best practices and troubleshooting

Materials Provided

• API reference guides and code samples

• Integration templates and workflow diagrams

• Security and compliance checklists for API usage

• Certificate of completion

Outcomes

• Confidently build and deploy GenAI API integrations

• Seamlessly connect GenAI capabilities with enterprise applications

• Ensure secure, reliable, and scalable API usage

• Optimize GenAI API workflows for maximum business impact

Outline / Content

Day 1: Introduction to GenAI APIs

• Overview of OpenAI, Azure AI, and Anthropic APIs

• API authentication methods and security best practices

• Understanding API endpoints and capabilities

Day 2: Building API Workflows

• Designing workflows to incorporate GenAI features

• Handling requests, responses, and error management

• Rate limiting and usage monitoring

Day 3: Integration with Business Systems

• Connecting APIs to CRM, ERP, and other enterprise software

• Automating processes using GenAI API calls

• Case studies of successful API integrations

Day 4: Optimization and Scaling

• Performance tuning and cost management

• Monitoring API usage and troubleshooting

• Workshop: Build and deploy a GenAI-powered application

• Group review and feedback session