Skip to content Skip to sidebar Skip to footer

AI Agents & Workflows - The Practical Guide

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

AI Agents & Workflows - The Practical Guide

Preview this Course

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

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 using

You'll learn:

How to build AI Workflows & Agents from scratch

How to use OpenAI's models (via API & SDK) programmatically

How to transform input data with AI

How to build AI-powered automations

How to interact with third-party services like Slack

How use AI for self-evaluation

How to manage short- and long-term memory for your AI Agents

How to build Multi-Agent systems and share data between agents

How to split work between universal and specialized Agents

How to add a Human-in-the-Loop step to your workflows

And 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

Post a Comment for "AI Agents & Workflows - The Practical Guide"