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
ENJOY & HAPPY LEARNING! 
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