Curriculum
- 5 Sections
- 35 Lessons
- Lifetime
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- Module 1: From GenAI to Agentic AIObjective: Understand the evolution from generative AI systems that respond to prompts, to agentic systems that plan, act, and adapt autonomously.11
- 1.1Introduction to Generative AI
- 1.2LLM Basics
- 1.3Limitations of LLMs
- 1.4What is Agentic AI
- 1.5What Makes a System “Agentic”?
- 1.6Agent vs. Chatbot — The Distinction
- 1.7Real-World Examples of Agentic AI
- 1.8Why Agentic AI Matters
- 1.9Enterprise Use Cases by Industry
- 1.10Business Benefits of Agentic Workflows
- 1.11HANDS-ON LAB
- Module 2: Agent Architecture FundamentalsObjective: Learn the internal design and structure of AI agents — the building blocks every agentic system, whether low-code or code-first, is assembled from.7
- Module 3: Low-Code AI Agents with n8nObjective: Build working AI-powered automation workflows using n8n, a visual, node-based automation platform.7
- Module 4: Hands-On Automation LabsObjective: Apply the architecture and n8n concepts from Modules 2–3 to a set of realistic, end-to-end automation workflows.5
- Module 5: Intro to Code-First AgentsObjective: Understand when and how to move from visual, low-code automation to fully coded agentic systems.5
LLM Basics
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