Unlock the transformative power of AI agents to boost your productivity and job satisfaction. Join Dr. Martin Hilbert in this comprehensive course that covers generative AI basics and the creation of multi-agent systems. Designed for professionals, students, and AI enthusiasts, this course blends theoretical insights with practical skills. Learn to customize AI prompts, build effective workflows, and develop multi-agent systems to tackle complex tasks. By the end, you'll be equipped with the knowledge and tools to harness AI for immediate benefits in your personal and professional life.
AI Agents: From Prompts to Multi-Agent Systems
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
8 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
Details to know
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Recently updated!
March 2025
Assessments
5 assignments
Taught in English
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There are 5 modules in this course
After this module, you will be able to recognize cumulative benefits of generative AI and define what are AI Agents. You will be able to examine the context of AI and its modern day architect. You will be able to identify potential risks of AI and explore the different AI agents.
What's included
9 videos3 readings1 assignment1 discussion prompt
After this module, you will be able to explain how to customize prompts and be able to apply prompt engineering basics. You will be able to tell GenAI how to act and describe what the output you desire through prompt templates and frameworks. You will be able to explain the audience for the prompt receiver and train the AI to consider style in your prompting. You will also be able to use chain of thought prompting to add reasoning to your output and refine your GenAI output through iteration. Finally, you'll be able to implement prompt engineering frameworks.
What's included
10 videos1 assignment1 discussion prompt
After this module, you will be able to examine and discuss AI agent workflows and systems. You will be able to review the idea of building effective agents and identify that workflows are just mathematical algorithms. You'll be able to construct algorithms through workflows and defend the human in the loop. You will also be able to discover how AI uses other tools and finally build an Agentic workflow.
What's included
11 videos1 assignment1 discussion prompt
After this module, you will be able to define and describe multi-agent systems. You'll be able to explore characteristics of multi-agent networks. You'll be able to differentiate between types of feedback loops and consider how AI agents explore and exploit the landscape. You'll be able to recognize how emergent AI agents are agent-based models and create a multi-agent system.
What's included
15 videos1 assignment1 discussion prompt
After this module, you will be able to discuss common AI fears and critiques and consider how to use AI in spite of fears and critiques. You will be able to examine tasks that can be done by AI and explore rising opportunities and threats of using AI. You'll be able to consider practical recommendations of AI use and apply these recommendations to create a multi-agent system. Finally, you'll be able to reflect on agentic promises and perils.
What's included
15 videos1 assignment1 discussion prompt
Instructor
Offered by
Recommended if you're interested in Machine Learning
DeepLearning.AI
Vanderbilt University
DeepLearning.AI
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