https://github.com/readytensor/rt-agentic-ai-cert-week1
Lesson content for Week 1 of the Ready Tensor Agentic AI Developer Certification Program — foundational concepts, components, tools, and real-world applications of agentic AI.
https://github.com/readytensor/rt-agentic-ai-cert-week1
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Lesson content for Week 1 of the Ready Tensor Agentic AI Developer Certification Program — foundational concepts, components, tools, and real-world applications of agentic AI.
- Host: GitHub
- URL: https://github.com/readytensor/rt-agentic-ai-cert-week1
- Owner: readytensor
- License: other
- Created: 2025-06-22T18:54:25.000Z (12 months ago)
- Default Branch: main
- Last Pushed: 2025-09-01T01:26:06.000Z (9 months ago)
- Last Synced: 2025-09-01T03:37:53.243Z (9 months ago)
- Size: 975 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Ready Tensor Agentic AI Certification – Unit 1
This repository contains the lesson content for **Unit 1** of the [Agentic AI Developer Certification Program](https://app.readytensor.ai/publications/HrJ0xWtLzLNt) 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
```txt
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
```
---
## License
This project is licensed under the CC BY-NC-SA 4.0 License - see the [LICENSE](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](https://readytensor.ai)