Overview

Unlock the full power of the AI revolution and transform your skills from an API consumer into a world-class AI architect with the most comprehensive development guide ever published. Building AI Applications with OpenAI and Google SDKs is the definitive all-in-one resource for designing, integrating, and scaling next-generation intelligent systems. Whether you are a software engineer looking to modernize your stack, a tech entrepreneur building the next great AI startup, or a developer transitioning into the world of agentic workflows, this book provides a step-by-step roadmap from foundational SDK calls to complex, autonomous multi-modal systems. Inside, you will discover how to: Master the Ecosystems: Navigate the OpenAI and Google SDKs with professional-grade proficiency, understanding the strategic advantages of models like GPT-4o and Gemini 1.5 Pro. Build with ""Memory"" Implement sophisticated Retrieval-Augmented Generation (RAG) pipelines using vector databases to give your AI access to private, real-time data. Create Autonomous Agents: Design agentic workflows using function calling and tool use, allowing your applications to reason, plan, and execute actions across the web and third-party APIs. Harness Multi-modality: Develop applications that can ""see,"" ""hear,"" and ""speak"" by integrating native vision, audio, and video analysis directly into your code. Engineer for Production: Deploy, debug, and scale AI systems with confidence using LLMOps best practices, evaluation frameworks, and cost-optimization strategies. Bridge the Context Gap: Leverage Google's massive context windows and OpenAI's structured outputs to handle complex data at an enterprise scale. Unlike fragmented tutorials or surface-level guides, this book delivers a complete architectural journey-blending authoritative technical expertise with approachable, hands-on projects. You won't just learn to ""call an API""; you will master the art of building ""intelligence-as-a-service.""

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