Paulo Dichone | Software Engineer

    Claude API - Building LLM-Powered Applications Masterclass

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    Claude AI · Online Course

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    Unlock the full potential of Anthropic’s state-of-the-art language models with the Claude API - Building LLM-Powered Applications Masterclass, curated by veteran software engineer Paulo Dichone. This comprehensive course is designed specifically for developers, software engineers, and AI builders who want to transition from basic prompt interfaces to engineering robust, production-ready AI applications. Throughout this masterclass, you will dive deep into the entire Claude API ecosystem, learning how to leverage Claude's superior reasoning capabilities, massive context window, and industry-leading performance. You will master critical developer workflows, including sophisticated prompt engineering strategies, real-time response streaming for seamless user experiences, and tool use (function calling) to connect Claude with external data sources and APIs. By building practical, hands-on projects, you will understand how to manage API state, handle rate limits, and architect scalable, secure LLM backends. Whether you are building intelligent virtual assistants, complex automated workflows, or autonomous agents, this course equips you with the practical skills needed to design, deploy, and optimize modern AI applications on the Claude platform.

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    Paulo Dichone | Software Engineer

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    Paulo Dichone is a seasoned software engineer, educator, and author dedicated to making complex programming concepts accessible to learners worldwide. With a deep expertise spanning mobile application development and cutting-edge artificial intelligence, Paulo has built a reputation for crafting highly practical, hands-on learning experiences. His courses guide students through the modern development ecosystem, covering essentials like Python mastery and Flutter & Dart mobile development, while heavily focusing on the vanguard of AI engineering. Paulo teaches developers how to build, deploy, and scale autonomous AI agents, leverage the Claude API, construct production-ready Retrieval-Augmented Generation (RAG) pipelines, and integrate state-of-the-art vector databases.…Show more

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    Program Overview

    Online Course

    Learning format

    Claude AI

    Subcategory

    $19.99 (list $9.99)

    Price

    Price may change · updated within 1–2 weeks

    English

    Course language

    What You'll Learn

    • Design and deploy scalable, production-ready AI applications by integrating the Anthropic Claude API into modern software architectures.
    • Implement advanced prompt engineering techniques specifically optimized for Claude's model family to ensure accurate, context-aware responses.
    • Enable real-time user interactions by mastering response streaming techniques using server-sent events (SSE) with the Claude API.
    • Build intelligent agentic workflows using tool use (function calling) to let Claude interact dynamically with external systems, databases, and APIs.
    • Manage token consumption, optimize API latency, and configure request parameters like temperature and max tokens for cost-effective application performance.
    • Structure complex inputs and leverage Claude’s massive context window for document analysis, multi-shot learning, and advanced semantic understanding.

    Best For

    • Software developers looking to integrate Anthropic's Claude models into custom backend applications.
    • AI engineers who want to move beyond basic web-based prompting to professional API-driven development.
    • Tech professionals aiming to build autonomous agents and tool-calling workflows using Claude 3.5 Sonnet or Opus.
    • Backend developers who need to implement production-ready features like streaming responses and token management.

    Not For

    • Total beginners who have no prior experience with programming or API integration.
    • Individuals looking for a 'no-code' guide to building apps using external drag-and-drop builders.
    • Professionals seeking a general overview of Generative AI theory without hands-on coding requirements.
    • Developers specifically looking for training on OpenAI (GPT) or Google (Gemini) APIs only.

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