2026 Bootcamp: Generative AI, LLM Apps, AI Agents, Cursor AI
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Unclaimed ProfileThis comprehensive 2026 Bootcamp, led by industry expert Julio Colomer, serves as an ultimate guide for aspiring developers, tech entrepreneurs, and software engineers looking to master the rapidly evolving landscape of Generative AI, Large Language Model (LLM) applications, and advanced AI Agents. Students gain hands-on experience building cutting-edge multi-agent systems and multimodal apps using next-generation tools like Cursor AI, Claude Code, LangChain, CrewAI, and LangGraph. The curriculum deeply explores Retrieval-Augmented Generation (RAG) techniques, vector databases like Pinecone and Chroma, and essential LLMOps practices for monitoring and evaluation via LangSmith. Designed to bridge the gap between beginner-friendly concepts and production-grade engineering, this course empowers learners to deploy robust, full-stack AI solutions using Next.js and FastAPI to cloud platforms like Vercel and Render. Whether you want to transition your career into AI engineering, optimize your existing business workflows with automated agents, or develop AI applications without extensive traditional coding backgrounds, this masterclass provides the strategic insights and technical foundations necessary to succeed in the modern AI-driven economy.
About the creator
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
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Learning format
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Price
Price may change · updated within 1–2 weeks
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What You'll Learn
- 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.
Best For
- Software developers looking to transition into AI engineering roles
- Tech entrepreneurs aiming to build and deploy production-grade AI-powered applications
- Data enthusiasts who want to master modern agentic workflows and multi-agent systems
- Professionals seeking hands-on experience with cutting-edge tools like Cursor AI, CrewAI, and LangGraph
Not For
- Individuals seeking purely theoretical academic research or mathematics-heavy deep learning
- Learners who prefer low-code automation tools over professional software engineering and cloud deployment
- Professionals looking for general non-technical AI strategy or business management insights only
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