Rakia Ben Sassi

    The Agentic Engineering Bootcamp

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    No-Code Development · Online Course

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    The Agentic Engineering Bootcamp is a forward-looking curriculum designed to transform traditional software development into a highly optimized, AI-first practice. Under the guidance of Rakia Ben Sassi, learners will transition from basic manual coding and simple conversational AI queries into architecting sophisticated, autonomous agentic systems. This course breaks down the mechanics of designing multi-model pipelines—often referred to as 'relay race' workflows—where specialized AI models hand off complex debugging, refactoring, and documentation tasks to one another. You will gain deep expertise in advanced prompt engineering methodologies, including Chain of Thought (CoT), self-consistency frameworks, and contextual priming, specifically tailored for code generation. Crucially, the bootcamp does not just focus on raw speed; it places heavy emphasis on the critical evaluation of AI outputs. Students learn how to robustly audit machine-generated code for security flaws, performance bottlenecks, and algorithmic biases. Whether you are a classic developer looking to 10x your output, or a no-code creator aiming to integrate sophisticated agent-driven automation into your projects, this course provides the actionable architectures, defensive design strategies, and direct workflows needed to stay ahead in the rapidly evolving software landscape.

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    Rakia Ben Sassi

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    Rakia Ben Sassi is an experienced software engineer and technical educator dedicated to bridging the gap between legacy development methods and modern, cloud-native paradigms. With deep expertise across software architecture, cloud platforms, and cybersecurity, Rakia designs comprehensive educational experiences that empower developers to build resilient, scalable systems. Through courses like "Modern Software Engineering: Architecture, Cloud & Security" and "The Agentic Engineering Bootcamp," Rakia focuses on actionable, real-world patterns rather than mere theoretical abstractions. The teaching methodology emphasizes deep-dive technical breakdowns, hands-on architectural design exercises, and the incorporation of cutting-edge AI-driven workflows. By prioritizing a security-first mindset and teaching students how…Show more

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    Program Overview

    Online Course

    Learning format

    No-Code Development

    Subcategory

    $19.99

    Price

    Price may change · updated within 1–2 weeks

    English

    Course language

    What You'll Learn

    • Architect multi-model 'Relay Race' pipelines where different specialized AI models hand off tasks autonomously to maximize output quality.
    • Apply advanced prompt engineering frameworks like Chain of Thought, Self-Consistency, and Contextual Priming to generate production-ready code.
    • Deploy agentic AI systems to automate end-to-end software tasks, including automated test generation, technical documentation, and full-codebase refactoring.
    • Audit and evaluate AI-generated code for performance bottlenecks, security vulnerabilities, and algorithmic biases using defensive design principles.
    • Configure AI-first development environments and integrate autonomous agents into existing CI/CD pipelines and version control systems.
    • Design complex logical feedback loops that allow AI agents to self-correct, debug, and optimize their own code execution without human intervention.

    Best For

    • Software engineers looking to transition into AI-first development workflows.
    • No-code creators who want to scale their projects using autonomous agentic architectures.
    • Developers aiming to integrate multi-model pipelines into existing CI/CD environments.
    • Technical leads focused on automating documentation, testing, and refactoring tasks.

    Not For

    • Complete beginners with no prior interest in software development or coding logic.
    • Individuals seeking basic 'chat-with-AI' prompt tips rather than architecting autonomous systems.
    • Professionals looking for a non-technical introduction to AI without any implementation or coding component.

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