AI Agents in Python – Build Multi Agent Workflows 11 Sections47 Lessons2 Days
Curriculum
- 11 Sections
- 47 Lessons
- 2 Days
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- Module 1: Introduction to AI Agents6 ItemsUnderstand the foundations of agentic AI and the role of autonomous or semi-autonomous systems.
- Module 2: Python Foundations for AI Agents4 ItemsLearn the Python concepts required to develop and integrate AI agent applications.
- Module 3: Large Language Models and Prompt Engineering5 ItemsExplore how LLMs interpret instructions and support agent workflows.
- Module 4: Connecting Python to LLMs3 ItemsLearn how to integrate language models into Python applications.
- Module 5: Tools and Function Calling4 ItemsUnderstand how agents interact with external functions and services.
- Module 6: Building Your First AI Agent4 ItemsApply core concepts to create a simple working agent.
- Module 7: Multi-Step Workflows and Planning4 ItemsExplore how agents can complete tasks that require several actions.
- Module 8: AI Agent Frameworks3 ItemsExplore frameworks that can simplify agent development, subject to the tools selected for the course.
- Module 9: Memory, Knowledge and External Data5 ItemsLearn how agents can use relevant information beyond a single interaction.
- Module 10: Testing, Security and Responsible AI Agents6 ItemsLearn to evaluate agent performance and reduce common risks.
- Module 11: Practical AI Agent Project3 ItemsBring the main course concepts together in a practical application.
Understanding AI Agents and Their Core Components
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