Ready Tensor Agentic AI Certification – Unit 1

This repository contains the lesson content for Unit 1 of the Agentic AI Developer Certification Program by Ready Tensor.

Unit 1 lays the foundation for understanding what Agentic AI is, how it differs from traditional automation, and the ecosystem of tools and components involved in building agentic systems.

Lessons in This Repository

1. What is Agentic AI

Introduces the concept of Agentic AI, its core building blocks, and how it relates to multi-agent systems.

2. The Core Components of AI Agents

Covers components like LLMs, tools, and memory. Also discusses autonomy and the role of human oversight in agentic systems.

3. Real-World Applications of Agentic AI

Presents real-world use cases and differentiates Agentic AI from RPA, traditional ML, and rules-based systems.

4. Agentic AI: Tools of the Trade

Reviews commonly used libraries like LangChain and LlamaIndex. Includes guidance on selecting tools for personal vs. enterprise use cases.

5. Agentic AI: Agents vs. Workflows

Explains when to use agents versus structured workflows—highlighting that not every task needs an agent.

Repository Structure

rt-agentic-ai-cert-unit1/
├── lessons/
│   ├── lesson1/  → Lesson 1 materials
│   ├── lesson2/  → Lesson 2 materials
│   ├── lesson3/  → Lesson 3 materials
│   ├── lesson4/  → Lesson 4 materials
│   └── lesson5/  → Lesson 5 materials
├── .gitignore
├── LICENSE
└── README.md

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License

This project is licensed under the CC BY-NC-SA 4.0 License - see the LICENSE file for details.

Contact

Ready Tensor, Inc.

• Email: contact at readytensor dot com
• Issues or contributions: Please open an issue or pull request on this repository
• Website: https://readytensor.ai