# Modern Automated AI Agents: Building Agentic AI to Perform Complex Tasks ⭐

**URL:** <https://onehack.st/t/modern-automated-ai-agents-building-agentic-ai-to-perform-complex-tasks/300664>\
**Category:** Tutorials & Methods\
**Tags:** learning, freebies, ai, self-improvement\
**Created:** [February 12, 2025, 8:42pm UTC](https://onehack.st/t/modern-automated-ai-agents-building-agentic-ai-to-perform-complex-tasks/300664 "2025-02-12T20:42:11Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Aina](https://onehack.st/user_avatar/onehack.st/aina/32/167469_2.png) [@Aina](https://onehack.st/u/Aina)\
**Post date:** [February 12, 2025, 8:42pm UTC](https://onehack.st/t/modern-automated-ai-agents-building-agentic-ai-to-perform-complex-tasks/300664/1 "2025-02-12T20:42:11Z")

</div>

![image](https://onehack.st/uploads/default/original/3X/2/a/2af470a5398415716b6a9d71189c223cdd75097f.jpeg)

Modern Automated AI Agents: Building Agentic AI to Perform Complex Tasks

Modern Automated AI Agents introduces you to the concept of automated agents. It then helps you build a solid understanding of how to design, build, and optimize AI agents to tackle real-world challenges.

**Learn How To**

- Build & use AI agents
- Evaluate AI agent frameworks
- Start to use CrewAI
- Design multi-step workflows with LangGraph
- Use large language models (LLMs)
- Integrate existing and custom tools
- Use thought, action, observation, and response components
- Test and evaluate agents, their responses, backstories, definitions, and rules
- Add planning and reflection to agents to bolster performance

**Who Should Take This Course**

- Developers, data scientists, and engineers who are interested in building intelligent, autonomous AI agents capable of solving complex problems and adapting to dynamic environments

**Course Requirements**

- Python 3 proficiency with some experience working in interactive Python environments including Notebooks (Jupyter/Google Colab/Kaggle Kernels)
- Comfortable using the Pandas library and either Tensorflow or PyTorch
- Understanding of ML/deep learning fundamentals including train/test splits, loss/cost functions, and gradient descent

**[Download Link](https://buzzheavier.com/723phkckyqcb)**

## ENJOY & HAPPY LEARNING! ❤