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AI Agents & Workflows - The Practical Guide

Understand and build agentic systems and AI-powered applications to automate tasks & unlock opportunities.

Topics
IT & Software
Agentic AI Systems

AI Agents & Workflows - The Practical Guide

InstructorMaximilian Schwarzmüller

Duration4h 10m

Students11.7K

Rating4.6 (1,758)

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Comidoc Analysis

Building Agentic Workflows via Python

Editorial course preview

What the public course preview actually shows

These 4 complementary views highlight concrete, legible examples from the course presentation.

A presentation slide titled 'AI Agents vs AI Workflows' comparing the two concepts with bullet points on determinism, autonomy, and control levels. — Preview 1 of 4
This slide contrasts AI workflows as deterministic sequences with high control against autonomous AI agents that plan and execute tasks with lower control.

A dark presentation slide listing Python project examples including Social Media Content Generation, Blog Post & Thumbnail Generation, Dummy Customer Service Agent, and Web Search. — Preview 2 of 4
This slide outlines practical Python projects included in the course, such as social media content generation and dummy customer service agents, with step-by-step code explanations.

A split-screen view featuring a man speaking into a microphone on the right and a dark-themed code editor displaying Python logic for generating and evaluating blog post drafts on. — Preview 3 of 4
The instructor explains the implementation of an iterative workflow in Python that generates article drafts, evaluates them against criteria, and incorporates user feedback.

Screenshot of the CrewAI documentation website showing a diagram titled 'How Crews Work' that illustrates agents, tools, tasks, and memory within a workflow. — Preview 4 of 4
A screenshot of the CrewAI documentation page displaying an architectural diagram that explains how crews work by connecting agents, tools, tasks, and memory.

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