Julio Colomer

    2026 Bootcamp: Understand and Build Professional AI Agents

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    SaaS · Online Course

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    The 2026 Bootcamp: Understand and Build Professional AI Agents by Julio Colomer represents a highly comprehensive masterclass designed specifically for developers, SaaS architects, and tech-forward entrepreneurs aiming to master the next frontier of generative artificial intelligence. As modern businesses rapidly transition from static prompt engineering to dynamic, autonomous workflows, understanding how to design, build, and orchestrate AI agents has become a highly sought-after industry capability. This course systematically breaks down the architectural paradigms of modern agentic systems, offering a clear comparative analysis of leading development frameworks such as CrewAI and LangGraph. Students will learn to construct everything from basic single-agent systems to sophisticated multi-agent ecosystems capable of executing complex business processes, managing custom API integrations like automated email handlers, and utilizing persistent memory. By diving deep into advanced concepts like hierarchical subgraphs, human-in-the-loop validation, and strategic agentic planning, learners acquire the practical, end-to-end skills needed to deploy resilient AI teams. From initial client discovery to deploying production-ready applications, this training provides a complete roadmap for introducing impactful automation into corporate environments, making it an essential resource for driving SaaS innovation.

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    Julio Colomer

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    Julio Colomer is a dedicated technology educator and software development specialist who focuses on bridging the gap between cutting-edge artificial intelligence and practical, real-world application. With a curriculum centered on the 2026 AI landscape, Julio has established himself as a forward-thinking instructor who prioritizes hands-on experience over theoretical abstraction. His teaching philosophy is built upon the belief that the rapid evolution of tools like Cursor AI and large language models requires a shift in how developers approach coding, moving from manual syntax management to high-level architectural thinking. In his courses, Julio guides students through the complexities of Generative AI and…Show more

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    Program Overview

    Online Course

    Learning format

    SaaS

    Subcategory

    $19.99

    Price

    Price may change · updated within 1–2 weeks

    English

    Course language

    What You'll Learn

    • How AI Agents fit into the Generative AI Revolution.
    • What framework is better to build your AI Agents? Comparative.
    • Learn to build basic, intermediate, and advanced AI Agents.
    • Learn CrewAI the right way: from basic Crews to advanced Flows.
    • Learn LangGraph the right way: from basic Agents to advanced Subgraphs.
    • Real Cases of AI Agents that will inspire you.
    • How to build advanced AI Agents that manage your email and other custom tools.
    • How to build advanced AI Agents that remember who you are and what you want.
    • How to build advanced Multi-Agents able to replace whole teams of people.
    • How to improve your AI Agents with Human-in-the-loop and other advanced techniques.
    • The process to build an AI Agent from scratch: from the initial interview with your client to the final app.
    • How to design a Plan to Introduce AI Agents in your company.

    Best For

    • Software developers looking to transition into building agentic AI systems.
    • SaaS founders aiming to integrate autonomous workflows into their products.
    • Technical architects responsible for designing scalable, production-ready AI infrastructures.
    • Entrepreneurs eager to implement multi-agent teams to automate complex business processes.

    Not For

    • Absolute beginners with no programming experience or understanding of Python.
    • Non-technical managers looking for a high-level overview without any code implementation.
    • Those looking for a quick, plug-and-play AI solution without learning the underlying frameworks.
    • Researchers focused exclusively on the theoretical mathematics behind LLMs rather than practical development.

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