Master Agentic AI — create smart, self-directed agents powered by LLMs, memory, and orchestration frameworks.
Sub Category
- Data Science
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Objectives
- Understand the Foundations of Agentic AI Learners will grasp the core principles of agency in AI, differentiating between chatbots.
- Build and Deploy Intelligent AI Agents Students will gain hands-on experience designing, coding, and orchestrating AI agents that can perceive, plan.
- Integrate Memory, Knowledge Retrieval, and Workflow Automation Learners will develop agents capable of retaining context, retrieving information.
- Design Safe, Aligned, and Ethical AI Systems Students will learn to implement safety mechanisms, ethical guardrails, and alignment strategies.
Pre Requisites
- Basic Programming Knowledge (Recommended) Familiarity with Python will help you understand and implement hands-on labs more easily.
- Interest in AI, Automation, or Machine Learning Curiosity about how intelligent systems think, reason, and act is more important than deep technical expertise.
- Comfort Using Online Tools or Jupyter Notebooks Labs will use browser-based environments such as Google Colab or Jupyter for coding demonstrations.
- Internet Connection and a Computer Needed to access course content, run AI demos, and explore APIs or frameworks introduced in the lessons.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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