دمج واجهات برمجة التطبيقات والذكاء الاصطناعي في تطبيقات الأعمال

Extend the functionality of CRM, ERP, and HR systems using AI.

Pillar

Technology – Platforms, Tools, Infrastructure & Productivity

ملخص

This course focuses on integrating AI capabilities into existing business applications such as CRM, ERP, and HR platforms through APIs. Participants will learn how to leverage AI services to enhance automation, improve decision-making, and deliver personalized user experiences within core enterprise systems. The course covers API fundamentals, AI model integration, security considerations, and best practices for scalable deployment.

Learning Objectives

Participants will be able to:

• Understand API architecture and AI integration concepts

• Identify key business applications suitable for AI enhancements

• Connect AI services to CRM, ERP, and HR systems via APIs

• Implement secure and scalable AI integrations

• Monitor and optimize AI-powered features in business apps

Target Audience

• Software developers and integration specialists

• IT architects and system administrators

• Business analysts and digital transformation leaders

• AI solution architects

Duration

20 hours over 4 days (5 hours per day)

Delivery Format

• Hands-on API integration labs

• Real-world case studies of AI in business apps

• Group exercises on designing AI workflows

• Interactive sessions on security and compliance

Materials Provided

• API integration guides and sample code snippets

• AI service provider documentation (e.g., OpenAI, Azure, Google Cloud)

• Security and compliance checklists

• Templates for project planning and deployment

Outcomes

• Ability to integrate AI functionalities into key business software

• Skills to develop and deploy API-based AI solutions securely

• Knowledge of managing AI-driven enhancements at scale

• Confidence to design AI-augmented enterprise workflows

Outline / Content

Day 1: Fundamentals of APIs and AI Services

• Introduction to APIs and RESTful services

• Overview of AI services and capabilities

Day 2: Integration with CRM, ERP, and HR Systems

• Mapping AI features to business app workflows

• Hands-on integration exercises

Day 3: Security, Scalability, and Performance Optimization

• Best practices for secure AI API usage

• Managing performance and scaling AI integrations

Day 4: Monitoring, Maintenance, and Future Trends

• Tools for monitoring AI API integrations

• Planning for upgrades and evolving AI capabilities

• Case studies and emerging technologies