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    Julio Colomer
    Unclaimed Profile

    Julio Colomer's 2026 Bootcamp: Generative AI, LLM Apps, AI Agents, Cursor AI Course Review

    Community Insights

    From zero to professional level: learn the keys to Generative AI, LLM Apps, AI Agents, and Cursor AI.

    Learning Format Online Course
    Subcategory AI Agents

    Course Price $59.99 (list $9.99)

    AllPros Score:

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    Based on: 0 Reviews

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    About Julio Colomer

    From zero to professional level: learn the keys to Generative AI, LLM Apps, AI Agents, and Cursor AI.

    Who Is Julio Colomer?

    No bio available.

    Industry

    AI

    Total Students

    38,965 students

    Official Website

    —

    Experience

    Course Language

    English

    Social Channels

    Based in

    What Do You Learn in Julio Colomer's Course?

    Keys to Generative AI, LLM Apps, AI Agents and AI Assistants like Cursor & Claude Code.
    LLM Apps and AI Agents with LangChain, CrewAI, LangGraph, and LangSmith.
    How to build apps without coding using Cursor AI, Claude Code, and others.
    How to build the new Multimodal and Multi-Agent LLM Applications.
    Opportunities and threats of AI for businesses, startups, and jobs.
    RAG Applications in Depth: Full Stack RAG Apps and Advanced Techniques.
    How to manage LLMOps: Observability, Evaluation, Testing, Etc.
    Professional opportunities opened by Artificial Intelligence.
    Steps to become an Artificial Intelligence Engineer.
    How to introduce Artificial Intelligence into your business.
    Keys to build and deploy LLM Applications and AI Agents.
    Architecture of professional LLM Applications.
    The RAG Technique (Retrieval Augmented Generation).
    Artificial Intelligence Agents. Dynamic Agents. Multi-Agents.
    Basic and advanced LangChain, LCEL, LangChain v1.0. LangSmith, etc.
    LCEL (LangChain Expression Language) in depth.
    Analysis of LangChain alternatives: LlamaIndex, OpenAI API, etc.
    The new Deep Agents framework to build super-agents.
    How to use alternative LLMs: OpenAI, Anthropic, Google, Grok, Deepseek, etc.
    Vector databases: Postgres, Pinecone, Chroma, FAISS, DeepLake, etc.
    Full-Stack Applications: Nextjs and FastAPI.
    Professional deployment: Vercel and Render.
    Provisional deployment: Streamlit, Agent Chat UI.
    Cloud hosting: AWS S3.
    How to apply the principles of Responsible AI.
    Daily tools of the AI Engineer: Jupyter Notebooks, Python, Terminal, Github, Codespaces, etc.

    What's Included in This Course?

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