Diogo Alves de Resende

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

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AI Agents · Online Course

RAG, AI Agents and Generative AI with Python and OpenAI 2026 Reviews & Product Details

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.

Best For

Python developers looking to integrate advanced LLM capabilities into production applications. Data scientists and AI engineers aiming to move beyond basic chatbot development into autonomous agentic workflows. Software architects interested in mastering RAG architectures and complex AI state management. Professionals who want to build multimodal AI pipelines that handle text, audio, and visual data.

Not For

Complete beginners with no prior experience in Python programming or basic software development. Individuals seeking a high-level theoretical overview of AI ethics or history without practical coding tasks. Those looking for a no-code or low-code solution to building AI applications. Data analysts focused exclusively on traditional machine learning or statistical modeling rather than generative AI.

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About the Creator

is a dedicated technologist and educator specializing in the practical application of Artificial Intelligence, generative AI, and autonomous agent workflows. With a deep passion for making cutting-edge technology accessible to both technical and non-technical learners, Diogo designs learning experiences that bridge the gap between complex programming and hands-on implementation. His courses cover highly relevant domains, ranging from building python-driven Retrieval-Augmented Generation (RAG) systems to crafting intuitive no-code AI agents using tools like OpenAI's Agent Builder. Diogo's teaching philosophy centers on immediate, actionable creation. Rather than bogging students down with abstract mathematical theories of neural networks, he prioritizes structured, project-based curriculums where learners build actual, working AI systems from day one. Whether guiding a software engineer through python scripts or assisting a business professional with visual workflow automation, Diogo ensures that his students walk away with robust, real-world skills designed for the rapidly evolving technological landscape. By demystifying OpenAI's ecosystem and showing practical automation patterns, he helps professionals future-proof their careers and automate redundant daily tasks with intelligent software agents.

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