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AI Agents & Workflows - The Practical Guide

Learn to build AI agents and automate tasks! Unlock new opportunities with powerful AI applications. Get started with agentic systems.

4.6(1,624)
11,237students
4h 1m
Certificate
Maximilian Schwarzmüller
Maximilian SchwarzmüllerAWS certified, Professional Web Developer and Instructor

Course Content

AI Agents & Workflows - The Practical Guide is an all-levels Udemy course taught by Maximilian Schwarzmüller. It runs 4h 1m, is taught in English, and includes a certificate of completion. Learners rate it 4.6 out of 5 from 1,624 reviews, with 11,237 students enrolled. It is a paid course, last updated July 2025.

Unlock the Power of AI Agents: Build Intelligent Workflows and Applications

The term "AI Agents" is gaining traction, and for good reason! AI-powered workflows and agentic systems are revolutionizing how we approach tasks, opening doors to unprecedented opportunities. From streamlining data transformation and automating content generation to enhancing customer service and accelerating automated research, the possibilities are vast. This course empowers you to build your own AI-powered applications and agentic systems from the ground up.

We'll demystify AI Agents, clarifying their distinctions and connections to AI Workflows. Forget the hype – we focus on the core concepts, providing practical theory, real-world examples, and concrete code snippets to ensure a deep understanding of how LLMs, standard code, and data collaborate to create intelligent applications.

What You'll Get:

  • A comprehensive breakdown of AI Workflows and AI Agents.
  • Numerous examples demonstrating applications like content generation, customer support automation, and automated research.
  • Detailed explanations applicable regardless of your preferred programming language.

You'll Learn How To:

  • Build AI Workflows & Agents from Scratch: Master the fundamentals of creating intelligent systems.
  • Utilize OpenAI Models: Programmatically leverage OpenAI's powerful models via API and SDK.
  • Transform Input Data with AI: Apply AI techniques to manipulate and enhance data.
  • Build AI-Powered Automations: Automate repetitive tasks and processes.
  • Integrate with Third-Party Services: Connect your AI agents with platforms like Slack.
  • Implement AI for Self-Evaluation: Enable your agents to assess their own performance.
  • Manage Memory for AI Agents: Implement short-term and long-term memory capabilities.
  • Build Multi-Agent Systems: Create collaborative systems where agents share data and work together.
  • Divide Work Between Agents: Strategically assign tasks to universal and specialized agents.
  • Incorporate Human-in-the-Loop workflows: Add human oversight and intervention where needed.
  • ...and much more!

While code examples primarily utilize Python and the OpenAI API/SDK, the underlying principles are transferable to any programming language or model you use. Gain the skills to harness the transformative potential of AI Agents in your daily work!

$ whoami — the devs behind tutorialsearch.io

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LLM features, RAG, agents and automation wired into a real product — built by the devs who shipped this site.