School of AI

    AI Agents for Everyone & AI Bootcamp with 100 Hands-on Labs

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    AI Agents · Online Course

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    The "AI Agents for Everyone & AI Bootcamp with 100 Hands-on Labs" course, curated by the School of AI, represents a highly comprehensive educational pathway designed for learners of all skill levels who want to build, deploy, and master cutting-edge artificial intelligence agents. Spanning over thirty-five hours of highly engaging instructional content, this course uniquely bridges the gap between theoretical AI concepts and actual, practical applications. Students will dive deep into foundational machine learning and natural language processing techniques before moving rapidly into advanced autonomous frameworks. With one hundred hands-on labs, learners gain direct, valuable experience working with state-of-the-art tools such as AutoGPT, IBM Bee, LangGraph, and CrewAI. The curriculum is carefully structured to help students design stateful, collaborative AI agents tailored for diverse industries including healthcare, finance, entertainment, and corporate enterprise business. Beyond technical development, this bootcamp thoroughly addresses the critical ethical considerations, potential biases, and legal or regulatory challenges associated with deploying autonomous systems in the modern world. By building a robust, professional portfolio of practical agent projects, graduates will emerge fully prepared to drive technological innovation within their organizations or pivot successfully into highly sought-after developer roles. This program is the ultimate beginner-friendly resource for anyone looking to master autonomous digital agents and elevate their professional career in artificial intelligence.

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    School of AI

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    School of AI is an elite online training collective dedicated to delivering highly practical, cutting-edge education in artificial intelligence, generative AI, and autonomous agent development. Recognizing that theory alone is insufficient in the rapidly evolving tech landscape, the School of AI structures its curriculum entirely around hands-on, project-based learning. Across a comprehensive range of programs—spanning multi-week masterclasses, deep-dives into modern tools like Anthropic Claude, Claude Code, and DeepSeek R1, and intense multi-project bootcamps—the institution ensures that students bridge the gap between academic AI concepts and production-ready deployments. Through a rigorous pedagogical approach that includes hundreds of practical labs and real-world…Show more

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    Program Overview

    Online Course

    Learning format

    AI Agents

    Subcategory

    $44.99 (list $9.99)

    Price

    Price may change · updated within 1–2 weeks

    English

    Course language

    What You'll Learn

    • Understand the fundamentals of AI agents and their decision-making processes
    • Learn about machine learning and NLP technologies powering AI agents.
    • Explore different types of AI agents, from simple to advanced systems.
    • Gain hands-on experience with AutoGPT, IBM Bee, LangGraph, and CrewAI.
    • Develop AI agents for business, healthcare, finance, and entertainment.
    • Understand ethical considerations and biases in AI agent development.
    • Address legal and regulatory challenges for deploying AI agents.
    • Build collaborative and stateful AI agents using advanced frameworks.
    • Explore future trends and societal impacts of AI agents in various fields.
    • Create a portfolio of real-world AI agent projects for professional growth.

    Best For

    • Beginners eager to transition into AI development through project-based learning.
    • Developers looking to specialize in autonomous systems and agentic workflows.
    • Business professionals aiming to understand and deploy AI agents for industry automation.
    • Learners who prefer learning by doing with extensive hands-on labs and coding exercises.

    Not For

    • Advanced researchers seeking purely theoretical deep-dives into LLM architecture.
    • Learners looking for high-level management strategy without technical implementation.
    • Individuals who prefer passive reading over intensive coding practice and lab environments.

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