Partner

AAIUCGPT
API Development and AI Integration Using ChatGPT

Rating:
0.0
English
Intermediate
Video preview
Contact us if interested
Get in touch with our Training Advisior to find out about the next available sessions.
Download Brochure

Course Overview

This course is beneficial to any developer, technical professional, or product owner who is working in a software development or digital transformation environment wanting to grow and advance their knowledge of API development and AI integration, and fast track their career. The aim of each session is to equip delegates with practical skills and knowledge to design, build, and deploy AI-powered ap

Amani Al S.
Senior Specialist - Program Enrollment

Key Takeaways

1
Understand what makes up a modern API, i.e., the core components (endpoints, methods, and payloads) needed to build and consume a service.
2
Learn to design and structure RESTful APIs that meet scalability, security, and performance requirements.
3
Understand the basic steps of integrating the ChatGPT API and configuring authentication and request handling.
4
Learn to craft effective prompts and manage context to build reliable AI-powered features and workflows.
5
Become skilled in testing, debugging, and deploying AI-integrated APIs to production environments.

LEORON - Professional Development Institute
Brand Logo
LEORON is the leading corporate training and EdTech company in the EMEA region, with the most comprehensive learning and development solutions in all strategic corporate functions, including Corporate Finance, HR, Procurement and SCM, Technology, Quality, Operations and Engineering. Through instructor-led sessions, in-company training, and coaching, our faculty of experts deliver over 1200+ programs annually, while 25,000+ professionals are equipped with up-to-date relevant education and the latest tech solutions across the EMEA region.We help our valued clients with a wide range of services, including Training Needs Analysis, Competency Development and Assessment, and custom-built e-Learning solutions that cater to specific industries and knowledge areas.LEORON mission remains boosting competitiveness of our clients worldwide through continuous learning, while we strive to achieve our vision of becoming the best quality corporate training and EdTech Company in the EMEA and the world.Whether our clients are facing difficulties re-organising their brand, equipping their workforce with an extra set of skills or aiming to assess competencies within an existing structure, our development planning is a great solution.LEORON’s mission is to help our worldwide clients boost their competitiveness by improving the competency levels of their employees, through top quality training and development solutions delivered by unrivaled global experts and facilitated by the best training managers in the industry.

Course Outline

Module 1
Foundations of API Development — Due to the importance of APIs as the backbone of modern software, the basic anatomy of API architecture is discussed in this module.

→ What makes up an API, i.e., the core components (endpoints, requests, responses) needed to connect systems.
→ The distinction between REST, SOAP, and GraphQL API architectures.
→ API components across the application lifecycle, i.e., design, development, and deployment.
→ API components to further understand how data is exchanged, structured, and secured between systems.

Module 2
RESTful API Design Principles — API success cannot be supported without accurate knowledge of the design standards to which the API must be built.

→ Common industry standards for RESTful API design (resources, methods, status codes).
→ Common methodologies applied to structure scalable and maintainable API endpoints.
→ Versioning and documentation techniques to ensure long-term API usability.

Module 3
Authentication and Security — Given the sensitivity of data exchanged through APIs, this module addresses how access is controlled and protected.

→ Common authentication methods including API keys, OAuth 2.0, and token-based access.
→ Common practices applied to secure endpoints against unauthorized access and abuse.
→ Rate limiting and encryption techniques to protect data in transit.

Module 4
Introduction to the ChatGPT and OpenAI API — Building AI-powered features cannot be supported without accurate knowledge of how the ChatGPT API is structured and consumed.

→ Common components of the OpenAI API, i.e., models, endpoints, and request parameters.
→ Common methodologies applied to send requests and handle responses efficiently.
→ Token management and cost-control techniques for production use.

Module 5
Prompt Engineering for Developers — Effective AI integration cannot be achieved without accurate knowledge of how prompts influence model behavior.

→ Common prompt structures applied to achieve consistent and reliable outputs.
→ Common techniques for managing context, memory, and conversation state.
→ Function calling and structured output techniques to connect ChatGPT with backend systems.

Module 6
Building AI-Powered Applications — Real-world value cannot be delivered without accurate knowledge of how to combine APIs and AI models into working applications.

→ Common architectures applied to integrate ChatGPT into existing software systems.
→ Common use cases including chatbots, automation workflows, and intelligent data processing.
→ Error handling and fallback techniques to ensure application reliability.

Module 7
Testing, Deployment, and Scaling — Production readiness cannot be achieved without accurate knowledge of how AI-integrated APIs are validated and scaled.

→ Common testing methodologies applied to validate API and AI response accuracy.
→ Common deployment practices for scaling AI-powered applications in production.
→ Monitoring and performance optimization techniques to maintain reliability at scale.
→ LEORON Certificate

Who Should Attend?

This highly practical and interactive course has been specifically designed for

This training is designed for: Software Developers, Backend Engineers and API Architects; Product Managers and Technical Leads; Data and AI Engineers; and Solution Architects, QA Engineers and IT professionals looking to integrate AI capabilities into existing systems.

FAQ

Reviews