http://ghafoorsblog.com/categories/application-development/Recent content in Application Development on Ghafoor's Personal BlogHugoennoreply@example.com (AG Sayyed)noreply@example.com (AG Sayyed)Copyright © 2024-2026 AG Sayyed. All Rights Reserved.Sat, 16 May 2026 17:37:05 +0100http://ghafoorsblog.com/courses/ibm/rag-agentic-ai-content/rag-agentic-ai-pcert/01-develop-genai-apps/03-module/002-idea-to-ai/Fri, 21 Nov 2025 13:29:45 +0000noreply@example.com (AG Sayyed)http://ghafoorsblog.com/courses/ibm/rag-agentic-ai-content/rag-agentic-ai-pcert/01-develop-genai-apps/03-module/002-idea-to-ai/<p class="lead text-primary"> This document explores the three main phases of AI application development—ideation and experimentation, building with frameworks and techniques like RAG and fine-tuning, and operationalizing with MLOps—providing developers with practical guidance for creating production-ready AI-powered applications using open source tools and technologies. </p> <hr> <h2 id="introduction-to-ai-application-development">Introduction to AI Application Development</h2> <p>Recent data from Gartner indicates that 80% of enterprises will have used some type of generative AI through models or APIs by 2026. While many developers have experience using AI through co-pilots in IDEs and popular large language models online, building applications that actually use AI represents a different challenge. The accessibility of AI development has improved significantly, making it easier than ever for developers to get started.</p>