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NeuroLearn AIACADEMY
Track

Agentic Systems

Build systems that plan, call tools, and recover from their own mistakes.

The longest route, and the one that needs the most foundations: prompting, then orchestration, then the architecture underneath so failures are diagnosable rather than mysterious.

3 courses · 14 lessons · 34 min

  1. Generative AI & Prompt Engineering Masterclass

    Master LLM prompting techniques, In-Context Learning, Chain-of-Thought, and RAG architectures.

    6 lessons · Beginner

    Open

  2. Autonomous AI Agents & LLM Tool Orchestration

    Build production-ready autonomous agents, ReAct loops, tool execution, memory, and multi-agent systems.

    4 lessons · Intermediate

    Open

  3. Machine Learning & Deep Learning Foundations

    Understand the mathematical foundations of Neural Networks, Transformers, Attention, and Fine-Tuning.

    4 lessons · Advanced

    Open

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