1-Day Instructor-Led Training
Hands-On Labs
After Course Instructor Coaching available
Fundamentals of AI-Native Software Development
Course 4726
- Duration: 1 day
- Language: English
- Level: Intermediate
This course provides a structured, enterprise-focused approach to designing AI-native software systems that are secure, observable, scalable, and ready for production deployment. Attendees learn how modern generative AI applications are architected using foundation models, retrieval-augmented generation (RAG), structured prompt controls, and operational monitoring practices.
The course introduces the AI-Native Production Stack™, a five-layer framework for designing and evaluating AI-powered applications in enterprise environments. The course focuses on architecture, operational readiness, and governance rather than basic AI concepts or live coding.
Through guided walkthroughs, architecture diagrams, and structured activities, attendees learn how to evaluate model vendors, design prompt and context layers, apply guardrails, monitor usage and cost, and assess AI systems for deployment readiness.
AI Native Software Development Training Delivery Methods
Online
Upskill your whole team by bringing Private Team Training to your facility.
AI Native Software Development Training Information
Course Benefits
- Organisations struggle to move generative AI projects from prototype to production
- Many teams lack architectural guidance for building secure and scalable AI systems
- Developers and architects are unsure how to control model output, cost, and risk
- Enterprises need governance, monitoring, and guardrails for AI deployments
- AI initiatives fail due to poor design rather than poor models
Prerequisites
- Working knowledge of software development concepts
- Familiarity with REST APIs or service-based applications
- General understanding of generative AI concepts
- Prior experience integrating foundation models is not required.
Prerequisites
- Attendees should have a working knowledge of AI tools (ChatGPT, Copilot, Gemini)
- Labs will be based on the licensed version of Copilot
AI Native Software Development Training Outline
Module 1: The AI-Native Production Stack
Module 2: Foundation Model Strategy and Vendor Tradeoffs
Module 3: Production Prompt Engineering and Control Layer
Module 4: Context Layer and Retrieval-Augmented Generation (RAG)
Module 5: Operations, Monitoring, and Governance for Production AI
Speak with a Learning Consultant
Speak with a Learning Consultant
Fill out the form below or call 44 (0) 207 874 5000
Need Help Finding The Right Training Solution?
Our training advisors are here for you.
AI Native Software Development Training FAQs
No. The course is designed for developers, architects, technical product managers, and AI programme leaders who need to understand how enterprise AI systems are designed and governed.
Yes. The course covers structured prompt design, guardrails, validation, and production prompt practices, but within the context of enterprise system architecture rather than simple prompting tips.
The course is platform-agnostic. Concepts apply to Azure OpenAI, AWS Bedrock, Google Vertex AI, and other foundation model providers.
No. This is an intermediate-level course focused on architecture and production design. Attendees should already understand basic software development and general AI concepts.