Diogo Alves de Resende

Build AI Workflows and AI Agents with OpenAI Agent Builder

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Unlock the potential of modern artificial intelligence with this comprehensive guide to building AI workflows and agents using the OpenAI Agent Builder. Designed for creators, marketers, and automation enthusiasts of all skill levels, this course by Diogo Alves de Resende offers a practical, hands-on path to deploying sophisticated AI agents without writing a single line of code. Learners will explore the mechanics of the OpenAI Agent Kit, discovering how to design Deep Research Agents that autonomously think, loop, and output clean, structured JSON data. The curriculum bridges theory and practice by showing you how to connect your custom AI assistants to real-world ecosystems using tools like the Zapier MCP, ChatKit, and Vector Stores. Beyond basic automation, you will master the art of writing precise system messages, establishing strict guardrails, and managing workflow templates to ensure safe, predictable AI behavior. Whether you want to launch an interactive website chatbot, automate complex market research, or streamline your product tasks, this course equips you with the exact strategies and no-code templates needed to achieve professional, production-ready AI results.

RAG, AI Agents and Generative AI with Python and OpenAI 2026

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This comprehensive training program offers an immersive, hands-on journey into the rapidly evolving landscape of Generative AI, Retrieval-Augmented Generation (RAG), and autonomous AI Agents using Python and the latest OpenAI APIs. Designed specifically for software developers, data scientists, and AI engineers, this curriculum bridges the gap between theoretical machine learning concepts and production-grade applications. Throughout the course, participants will master the foundational mechanics of building highly accurate RAG systems, ensuring that large language models can access and leverage external knowledge bases effectively. Beyond basic retrieval, the course dives deep into cutting-edge paradigms including Agentic RAG, multi-agent orchestration with frameworks like CrewAI and OpenAI Swarm, and complex workflow state management using LangGraph. Students will build practical, real-world portfolio projects, including a fully functional digital waiter agentic system and a multimodal pipeline that processes text, audio, and visual data using OpenAI's Whisper and CLIP models. By the end of this journey, learners will possess the practical skills to fine-tune models, orchestrate collaborative AI teams, and deploy scalable solutions that solve real business challenges.

AI Agents For All! Build No-Code AI Agents & Master AI 2026

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This comprehensive course on building no-code AI agents offers an exceptional path for non-technical professionals, entrepreneurs, and productivity enthusiasts who want to harness the power of artificial intelligence without writing a single line of code. Led by Diogo Alves de Resende, learners will master the visual workflow builder Flowise to construct sophisticated virtual assistants and automation pipelines. The curriculum dives deep into practical AI concepts, including prompt engineering, system messaging, and Retrieval-Augmented Generation (RAG) using internal databases. Students will discover how to connect their AI agents with widely-used business tools such as Slack, Discord, Google Calendar, and Hugging Face. Practical projects, like building a Virtual AI Waiter and a personal Jarvis-inspired AI assistant, ensure that learners gain hands-on, applicable skills. By demystifying complex processes like data chunking, embedding, and API integration, this course empowers anyone to streamline workflows, automate repetitive customer support tasks, and stay competitive in the fast-evolving landscape of 2026.