Which tools and frameworks will I learn to use?

You’ll explore tools such as Python, LangChain, LlamaIndex, OpenAI API, Hugging Face Inference, vector databases, and workflow orchestration platforms.

What kinds of AI agents will I build?

You’ll learn to create conversational agents, task-oriented agents, and multi-tool automation agents that perform real-world tasks.

How are AI agents different from traditional automation?

AI agents can reason, plan, and interact with multiple tools or systems, enabling more flexible and intelligent automation.

Can these AI agents be integrated into real products or workflows?

Yes. The course covers integration strategies and deployment approaches for real-world applications.

Will I learn about multi-agent systems?

Yes. You’ll explore how multiple agents can collaborate and coordinate tasks to solve complex problems.

Does the course cover responsible AI and safety considerations?

Yes. You’ll learn about monitoring, guardrails, and responsible AI practices when deploying intelligent.

What will I get if I purchase the Certificate?

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Learn AI Agents: Design, Build & Deploy

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Ce cours n'est pas disponible en Français (France)

Nous sommes actuellement en train de le traduire dans plus de langues.

Learn AI Agents: Design, Build & Deploy

Instructeur : AI CERTs Team

Inclus avec

8 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Intermédiaire

Expérience recommandée

3 semaines à compléter

à 10 heures par semaine

Planning flexible

Apprenez à votre propre rythme

8 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Intermédiaire

Expérience recommandée

3 semaines à compléter

à 10 heures par semaine

Planning flexible

Apprenez à votre propre rythme

Ce que vous apprendrez

AI Agent Fundamentals: Understand how AI agents work, including architectures, capabilities, and real-world automation use cases.
Agent Design & Development: Build intelligent agents using tools like Python, LangChain, and LlamaIndex for task execution and workflows.
Multi-Agent Systems & Automation: Create agents that collaborate, integrate tools, and automate complex processes across applications.
Deployment & Responsible AI: Deploy agents using APIs, vector databases, and orchestration tools while applying monitoring and guardrails.

Compétences que vous acquerrez

Catégorie : AI Security
Catégorie : AI Enablement
Catégorie : Business Process Automation
Catégorie : Responsible AI
Catégorie : Agentic systems
Catégorie : AI Personalization
Catégorie : Tool Calling
Catégorie : Artificial Intelligence
Catégorie : Workflow Management
Catégorie : Generative AI Agents
Catégorie : LLM Application
Catégorie : Artificial Intelligence and Machine Learning (AI/ML)
Catégorie : AI Product Strategy

Outils que vous découvrirez

Catégorie : Agentic Workflows
Catégorie : Generative AI
Catégorie : Vector Databases
Catégorie : LangChain
Catégorie : AI Orchestration
Catégorie : Model Deployment
Catégorie : AI Workflows

Détails à connaître

Certificat partageable

Ajouter à votre profil LinkedIn

Récemment mis à jour !

mars 2026

Évaluations

7 devoirs

Enseigné en Anglais

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Il y a 8 modules dans ce cours

Learn AI Agents: Design, Build & Deploy is a practical course designed to help learners understand, build, and implement intelligent AI agents that automate tasks and enhance digital workflows. As organizations increasingly adopt AI-driven automation, professionals who can design and manage AI agents are becoming essential across industries.

In this course, you’ll explore the foundations of AI agents, including how they perceive information, make decisions, and perform tasks autonomously. You’ll learn how to design task-oriented and conversational agents, connect them with real tools and data sources, and deploy them in real-world environments. Through guided exercises and hands-on projects, you’ll gain experience using industry tools such as Python, LangChain, LlamaIndex, OpenAI APIs, Hugging Face Inference, vector databases like Pinecone and Chroma, workflow orchestration tools like Airflow and Prefect, Jupyter Notebooks, and Docker. You’ll also learn how to build multi-tool agents, integrate external systems, and implement guardrails for responsible AI use. By the end of the course, you’ll be able to design, build, and deploy AI agents that automate workflows, support decision-making, and create real operational value for businesses and digital products.

This module introduces the overall certification structure and explains how the learning experience is organized throughout the course. To support different learning preferences, the content is offered in multiple formats, including Videos, eBooks, Audiobooks, and Podcasts. Each format covers the same key concepts, giving you the flexibility to learn in the way that works best for you. You can choose any format based on your preferred learning style and move through the course at your own pace.

Inclus

10 vidéos2 lectures1 devoir2 plugins

10 vidéosTotal 160 minutes

Navigation Video2 minutes
Audiobook: Module 1: Course Introduction5 minutes
Module 1: Course Introduction4 minutes
Audiobook: Module 1: Introduction to AI Agents79 minutes
Podcast: Module 1: Introduction to AI Agents44 minutes
1.1 Understanding AI Agents3 minutes
1.2 Core Components of an AI Agent4 minutes
1.3 AI Agent Ecosystems and Framework Selection Factors7 minutes
1.4 Applications, Misconceptions, and Mini Case Studies6 minutes
1.5 Case Study: Transforming Customer Support at Acme Retail with AI Agents4 minutes

2 lecturesTotal 20 minutes

Hands On-110 minutes
Hands On-210 minutes

1 devoirTotal 30 minutes

Quiz 130 minutes

2 pluginsTotal 30 minutes

Ebook: Module 1: Introduction to AI Agents15 minutes
Activity: Tab15 minutes

Inclus

6 vidéos2 lectures1 devoir2 plugins

6 vidéosTotal 129 minutes

Audiobook: Module 02: Core Concepts and Types of AI Agents64 minutes
Podcast: Module 02: Core Concepts and Types of AI Agents44 minutes
2.1. Anatomy of an AI Agent5 minutes
2.2 Classification of AI Agents7 minutes
2.3 Matching Agents to Use Cases4 minutes
2.4 Case Study: Enhancing Mental Health Support with AI Agents at Earkick5 minutes

2 lecturesTotal 20 minutes

Hands On-110 minutes
Hands On-210 minutes

1 devoirTotal 30 minutes

Quiz 230 minutes

2 pluginsTotal 30 minutes

Ebook: Module 02: Core Concepts and Types of AI Agents15 minutes
Activity: Hotspot15 minutes

Inclus

6 vidéos1 lecture1 devoir2 plugins

6 vidéosTotal 137 minutes

Audiobook: Module 03: Tools for Non-Coders76 minutes
Podcast: Module 03: Tools for Non-Coders41 minutes
3.1 No-code and visual agent platforms5 minutes
3.2 Tools Overview and Setup7 minutes
3.3 Start building: 'Your First Flow' with n8n4 minutes
3.4 Case Study: Empowering HR with AI – Building an Onboarding Assistant Without Coding4 minutes

1 lectureTotal 10 minutes

Hands On10 minutes

1 devoirTotal 30 minutes

Quiz 330 minutes

2 pluginsTotal 30 minutes

Ebook: Module 03: Tools for Non-Coders15 minutes
Activity: Drag-and-drop15 minutes

Inclus

5 vidéos4 lectures1 devoir2 plugins

5 vidéosTotal 120 minutes

Audiobook: Module 04: Building Simple Agents62 minutes
Podcast: Module 04: Building Simple Agents41 minutes
4.1 Building Simple Agents6 minutes
4.2 Troubleshooting and Validation of AI Agents6 minutes
4.3 Share your AI Agent5 minutes

4 lecturesTotal 40 minutes

Hands On-110 minutes
Hands On-210 minutes
Hands On-310 minutes
Hands On-410 minutes

1 devoirTotal 30 minutes

Quiz 430 minutes

2 pluginsTotal 30 minutes

Ebook: Module 04: Building Simple Agents15 minutes
Activity: Scenario Activity15 minutes

Inclus

8 vidéos1 lecture1 devoir2 plugins

8 vidéosTotal 146 minutes

Audiobook: Module 5: Multi-Tool Agents and Workflow Automation73 minutes
Podcast: Module 5: Multi-Tool Agents and Workflow Automation44 minutes
5.1 Multi-Tool Agent6 minutes
5.2 Agent Chaining and Workflow Basics4 minutes
5.3 Managing Agent State: State, Context, and User Journey6 minutes
5.4 Prompt Engineering for Agents6 minutes
5.5 Multi-Agent System (MAS)3 minutes
5.6 Case Study: Chaining Tools for Smarter Marketing Campaigns4 minutes

1 lectureTotal 10 minutes

Hands On10 minutes

1 devoirTotal 30 minutes

Quiz 530 minutes

2 pluginsTotal 30 minutes

Ebook: Module 5: Multi-Tool Agents and Workflow Automation15 minutes
Activity: Carousel15 minutes

Inclus

9 vidéos1 lecture2 plugins

9 vidéosTotal 171 minutes

Audiobook: Module 06: Integration, Application Mapping, and Deployment83 minutes
Podcast: Module 06: Integration, Application Mapping, and Deployment55 minutes
6.1 Deploying Agents4 minutes
6.2 Channel Selection- Where the User Will Interact5 minutes
6.3 Hosting Environment – Where Does the Agent Run?5 minutes
6.4 Data Integration5 minutes
6.5 Security Setup4 minutes
6.6 Monitoring and Updates2 minutes
6.7 Application Mapping6 minutes

1 lectureTotal 10 minutes

Hands On10 minutes

2 pluginsTotal 30 minutes

Ebook: Module 06: Integration, Application Mapping, and Deployment15 minutes
Activity: Problem Statement15 minutes

Inclus

9 vidéos1 devoir2 plugins

9 vidéosTotal 187 minutes

Audiobook: Module 07: Monitoring, Guardrails, and Responsible AI105 minutes
Podcast: Module 07: Monitoring, Guardrails, and Responsible AI51 minutes
7.1 Observability Basics4 minutes
7.2 Performance Evaluation: Key Metrics5 minutes
7.3 Guardrails: Preventing Misuse and Ensuring Safe Outputs5 minutes
7.4 Responsible AI4 minutes
7.5 Mini-Case: Failure and Recovery in Agent Deployments4 minutes
7.6 Real-World Failures4 minutes
7.7 Peer Sharing: How to Present and Discuss Agent Logs or Results5 minutes

1 devoirTotal 30 minutes

Quiz 730 minutes

2 pluginsTotal 30 minutes

Ebook: Module 07: Monitoring, Guardrails, and Responsible AI15 minutes
Activity: Multiple Response15 minutes

Inclus

4 vidéos1 devoir1 plugin

4 vidéosTotal 125 minutes

Audiobook: Module 08: Capstone Project – Design Your Own Intelligent Agent81 minutes
Podcast: Module 08: Capstone Project – Design Your Own Intelligent Agent36 minutes
8.1 Introduction to Capstone Project4 minutes
Module 08: Summary5 minutes

1 devoirTotal 30 minutes

Quiz 830 minutes

1 pluginTotal 15 minutes

Ebook: Module 08: Capstone Project – Design Your Own Intelligent Agent15 minutes

Instructeur

AI CERTs Team

AI CERTs

58 Cours38 041 apprenants

Offert par

AI CERTs

En savoir plus sur Software Development

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Pour quelles raisons les étudiants sur Coursera nous choisissent-ils pour leur carrière ?

Felipe M.

Étudiant(e) depuis 2018

’Pouvoir suivre des cours à mon rythme à été une expérience extraordinaire. Je peux apprendre chaque fois que mon emploi du temps me le permet et en fonction de mon humeur.’

Jennifer J.

Étudiant(e) depuis 2020

’J'ai directement appliqué les concepts et les compétences que j'ai appris de mes cours à un nouveau projet passionnant au travail.’

Larry W.

Étudiant(e) depuis 2021

’Lorsque j'ai besoin de cours sur des sujets que mon université ne propose pas, Coursera est l'un des meilleurs endroits où se rendre.’

Chaitanya A.

’Apprendre, ce n'est pas seulement s'améliorer dans son travail : c'est bien plus que cela. Coursera me permet d'apprendre sans limites.’

Foire Aux Questions

No. The course starts with core AI agent concepts and gradually moves into designing and building intelligent agents.

Yes. You’ll design and build functional AI agents capable of automating workflows, executing tasks, and integrating tools.

Basic familiarity with Python is helpful, but the course also introduces tools and frameworks that simplify agent developmen.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

Plus de questions

Visitez le Centre d'Aide pour les Étudiants

Aide financière disponible,

Learn AI Agents: Design, Build & Deploy

Ce cours n'est pas disponible en Français (France)

Learn AI Agents: Design, Build & Deploy

Ce que vous apprendrez

Compétences que vous acquerrez

Outils que vous découvrirez

Détails à connaître

Découvrez comment les employés des entreprises prestigieuses maîtrisent des compétences recherchées

Il y a 8 modules dans ce cours

Module 1: Introduction to AI Agents

Inclus

Module 02: Core Concepts and Types of AI Agents

Inclus

Module 03: Tools for Non-Coders

Inclus

Module 04: Building Simple Agents

Inclus

Module 5: Multi-Tool Agents and Workflow Automation

Inclus

Module 06: Integration, Application Mapping, and Deployment

Inclus

Module 07: Monitoring, Guardrails, and Responsible AI

Inclus

Module 08: Capstone Project – Design Your Own Intelligent Agent

Inclus

Instructeur

Offert par

En savoir plus sur Software Development

Deploy AI Agents with OpenAI

Designing and Deploying Advanced AI Agents and Applications

AI Engineering and Deployment

Building AI Agents – Fundamentals to Advanced

Pour quelles raisons les étudiants sur Coursera nous choisissent-ils pour leur carrière ?

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.

Save on skills that make you shine with 40% off 3 months of Coursera Plus

Faites progresser votre entreprise et responsabilisez vos équipes

Foire Aux Questions

Do I need prior AI experience to take this course?

Will I learn how to build real AI agents in this course?

What programming skills are required?

Plus de questions