Ai Agents & Workflows - The Practical Guide
Published 6/2025
Created by Maximilian Schwarzmüller
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English + subtitle | Duration: 58 Lectures ( 4h 16m ) | Size: 2.1 GB
Understand and build agentic systems and AI-powered applications to automate tasks & unlock opportunities.
What you'll learn
Describe & Build AI Agents
Construct AI-powered Workflows to automate tasks
Build Multi-Agent Systems
Understand the difference between AI Agents & Workflows
Leverage tools like web search in your AI Workflows
Use the OpenAI API & SDK via AI Agents & Workflows
Equip LLMs with Tools
Build your own Agents or use tools like CrewAI
Requirements
Basic programming knowledge is required
NO advanced AI or programming experienced is needed
Description
"AI Agents" is a buzzword.That's a pity, because AI powered workflows and agentic systems can unlock an entire new world of opportunities.From data transformation to content generation, customer service or automated research. Your imagination is the limit!And this course will get you there: You'll be able to build your own AI-powered applications and agentic systems!This course will teach you what exactly "AI Agents" are, how they differ from (and still relate to) "AI Workflows" and how you can build and use both.With this course, I decided to take a step back from the buzzwords and instead give you all the crucial theory, plenty of examples and concrete code snippets to ensure that you fully understand how LLMs, "normal code" and data work together to bring AI-powered applications to life.With this course, you'll get:A thorough explanation of "AI Workflows" & "AI Agents"Lots of examples (incl. content generation, customer support, automated research)Detailed explanations that allow you to apply the knowledge no matter which programming language you're usingYou'll learn:How to build AI Workflows & Agents from scratchHow to use OpenAI's models (via API & SDK) programmaticallyHow to transform input data with AIHow to build AI-powered automationsHow to interact with third-party services like SlackHow use AI for self-evaluationHow to manage short- and long-term memory for your AI AgentsHow to build Multi-Agent systems and share data between agentsHow to split work between universal and specialized AgentsHow to add a Human-in-the-Loop step to your workflowsAnd so much more!All code examples in this course use Python and the OpenAI API / SDK but you'll be able to apply the knowledge to any programming language or model you're using in your day-to-day work.
Who this course is for
Developer who want to build AI-powered workflows & applications
Everyone who wants to automate work with AI workflows & agents
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