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AI Agents: From Prompts to Multi-Agent Systems

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AI Agents: From Prompts to Multi-Agent Systems

Instructor: Martin Hilbert

17,019 already enrolled

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5 modules

Gain insight into a topic and learn the fundamentals.

180 reviews

Beginner level

Recommended experience

9 hours to complete

Flexible schedule

Learn at your own pace

5 modules

Gain insight into a topic and learn the fundamentals.

180 reviews

Beginner level

Recommended experience

9 hours to complete

Flexible schedule

Learn at your own pace

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

10 assignments¹

AI Graded see disclaimer

Taught in English

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There are 5 modules in this course

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.

Module details

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 videos2 readings2 assignments

9 videosTotal 47 minutes

Course Introduction7 minutes
What AI Does6 minutes
Introduction to Generative AI3 minutes
Cumulative Benefits and Web 3.03 minutes
AI Agents7 minutes
Context of AI5 minutes
Context of AI: Transformer5 minutes
Context of AI: Modern AI Architect5 minutes
Context of AI: Black Boxes5 minutes

2 readingsTotal 11 minutes

Course Navigation and Safety Statement1 minute
Common Large Language Models (LLMs)10 minutes

2 assignmentsTotal 40 minutes

Exploring Different Generative AI30 minutes
Generative AI Foundations Reflection10 minutes

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 videos2 assignments

10 videosTotal 49 minutes

Introduction to Personalization6 minutes
Customizing Prompts4 minutes
Prompting Framework6 minutes
Act as or Role-Based Prompting6 minutes
Chain Prompting5 minutes
Meta Prompting2 minutes
Receiver Prompting7 minutes
Style Prompting2 minutes
Reasoning Prompting4 minutes
Iterative Refinement6 minutes

2 assignmentsTotal 40 minutes

Implement Prompt Engineering Framework30 minutes
Personalizing Prompts Reflection10 minutes

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 videos2 assignments1 discussion prompt

11 videosTotal 54 minutes

AI Agent Workflows6 minutes
Systematic Review of AI Agents4 minutes
Agentic Function Calls: Application Programming Interface (API)6 minutes
Agentic Function Calls: Context Windows & RAGs5 minutes
Agentic Function Calls: AI Agent Powered Search7 minutes
Building Effective Agents3 minutes
Algorithms and Workflows5 minutes
Agentic Workflows - Part 14 minutes
Agentic Workflows - Part 24 minutes
Agentic Workflows - Part 33 minutes
Agentic Autonomy7 minutes

2 assignmentsTotal 70 minutes

Agentic Workflow60 minutes
Graded Reflection10 minutes

1 discussion promptTotal 10 minutes

Interactive Lab: The Power of Function Calls10 minutes

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 videos2 assignments

15 videosTotal 74 minutes

Introduction to Multi-Agent Systems5 minutes
Multi-Agent Systems8 minutes
Connected AI Agents: Parallelization3 minutes
Connected AI Agents: Exponential Network Challenges5 minutes
Interdependent AI Agents7 minutes
Adaptive AI Agents - Part 14 minutes
Adaptive AI Agents - Part 23 minutes
Adaptive AI Agents - Part 38 minutes
Overview of Optional Content 2 minutes
Optional: Diverse AI Agents3 minutes
Optional: Diversity vs. Ability6 minutes
Optional: Law of Requisite Variety8 minutes
Optional: Path-Dependence4 minutes
Optional: Diversity & Interdependence3 minutes
Emergent AI Agents Systems4 minutes

2 assignmentsTotal 60 minutes

Explore a Multi-Agent Workflow30 minutes
Create a Multi-Agent System30 minutes

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.