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4 AI Agentic Design Patterns – Workflows with Ollama

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

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

4 AI Agentic Design Patterns – Workflows with Ollama

Instructeur : Packt - Course Instructors

Inclus avec

7 modules

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

niveau Intermédiaire

Expérience recommandée

4 heures à compléter

Planning flexible

Apprenez à votre propre rythme

7 modules

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

niveau Intermédiaire

Expérience recommandée

4 heures à compléter

Planning flexible

Apprenez à votre propre rythme

Ce que vous apprendrez

Understand and apply the four essential AI agentic design patterns.
Build intelligent workflows using Reflection, Tool Use, Planning, and Multi-agent collaboration patterns.
Gain practical experience using Ollama Models as an alternative to costly APIs.
Learn how to integrate multiple agents into a single workflow for complex tasks.

Compétences que vous acquerrez

Catégorie : Prompt Patterns
Catégorie : Generative AI Agents
Catégorie : Agentic systems
Catégorie : Software Design Patterns
Catégorie : Tool Calling
Catégorie : Large Language Modeling
Catégorie : Artificial Intelligence and Machine Learning (AI/ML)
Catégorie : LLM Application
Catégorie : Development Environment

Outils que vous découvrirez

Catégorie : OpenAI
Catégorie : AI Orchestration
Catégorie : Application Programming Interface (API)
Catégorie : AI Workflows
Catégorie : OpenAI API
Catégorie : Agentic Workflows

Détails à connaître

Certificat partageable

Ajouter à votre profil LinkedIn

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février 2026

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Il y a 7 modules dans ce cours

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A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this comprehensive course, you will delve into the world of AI agentic workflows, exploring the foundational design patterns that make intelligent systems tick. You'll gain hands-on experience in building and integrating these design patterns, starting with the Reflection pattern, followed by Tool Use, Planning (ReAct), and Multi-agent collaboration. As you progress, you will learn how to implement these patterns in real-world scenarios, enhancing your ability to design AI systems that are both efficient and intelligent. The course is structured into multiple modules, each focusing on one design pattern. The first few lessons set the stage by covering essential prerequisites, such as development environment setup and an in-depth dive into AutoGen, a tool crucial for AI agentic workflows. Then, each design pattern is introduced through theory, followed by hands-on exercises to cement your understanding. Whether you're creating simple workflows or complex multi-agent systems, the course guides you step-by-step through the process. This course is perfect for anyone with a basic understanding of AI looking to deepen their knowledge and practical skills. You’ll learn how to apply cutting-edge techniques to solve real-world challenges in AI agentic systems. The course is beginner-friendly, but a background in basic AI principles and programming would be beneficial. By the end of the course, you will be able to confidently apply the four key AI agentic design patterns to build sophisticated workflows, integrate multi-agent systems, and optimize decision-making in intelligent systems. You will also understand how to leverage Ollama Models locally to reduce costs in AI workflows.

In this module, we will introduce you to the course’s structure, the target audience, and the key objectives that will guide your learning. You will also set up the development environment to ensure you're prepared to dive into hands-on exercises. Finally, we’ll provide a crash course on AutoGen, offering a solid foundation for building AI agentic workflows.

Inclus

4 vidéos1 lecture

In this module, we’ll introduce the concept of design patterns and how they’re applied to AI agentic workflows. We’ll explore the key AI agentic design patterns and examine how they help structure and streamline intelligent systems. By the end, you’ll understand their critical role in AI development.

Inclus

2 vidéos1 devoir

In this module, we’ll dive into the Reflection pattern and its application within AI workflows. You’ll gain hands-on experience by building out the Reflection pattern and integrating it with orchestration elements to create a more robust AI system. You’ll also learn to use Ollama Models locally as a cost-free alternative to the OpenAI API, providing you with an efficient, practical tool for AI development.

Inclus

6 vidéos1 devoir

6 vidéosTotal 41 minutes

The Reflection Agentic Design Pattern Overview3 minutes
Reflection Design Pattern Workflow Overview4 minutes
Hands-on - Reflection Design Pattern - Part 111 minutes
IMPORTANT - OpenAI API Alternative - Ollama Models Locally - FREE Cost!9 minutes
Adding the Reflection and Orchestration parts to the Workflow13 minutes
The Reflection Agentic Design Pattern - Summary2 minutes

1 devoirTotal 15 minutes

The Reflection Pattern - Hands-on - Assessment15 minutes

In this module, we will introduce the Tool Use pattern and demonstrate how it’s implemented in AI agentic workflows. Through hands-on exercises, you’ll build a trip planner workflow, applying this pattern to real-world tasks. By the end, you’ll understand how the Tool Use pattern can streamline AI workflows and enhance functionality.

Inclus

3 vidéos1 devoir

In this module, we’ll introduce the Planning pattern and ReAct technique, which are essential for decision-making and strategic planning within AI systems. You’ll gain hands-on experience by applying these patterns in practical workflow scenarios. By the end, you’ll have a clear understanding of how these tools support intelligent decision-making in complex tasks.

Inclus

3 vidéos1 devoir

In this module, we’ll dive into the Multi-agent Collaboration pattern, which facilitates cooperation between multiple AI agents to achieve complex goals. Through hands-on exercises, you’ll explore how these agents work together, gaining valuable experience in developing multi-agent systems. By the end of this section, you’ll be able to design and implement workflows with multiple collaborating agents.

Inclus

3 vidéos1 devoir

In this final module, we will summarize your key learnings and celebrate your accomplishments. We’ll discuss next steps and available resources to help you continue growing your knowledge and skills in AI agentic workflows. By the end, you’ll have a clear roadmap for advancing your AI expertise.

Inclus

1 vidéo2 devoirs

Instructeur

Packt - Course Instructors

Packt

1 763 Cours500 581 apprenants

Offert par

Packt

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Foire Aux Questions

The 4 AI Agentic Design Patterns – Workflows with Ollama course focuses on the design patterns used to structure AI workflows, with a special emphasis on Ollama’s capabilities for building AI systems. It’s relevant because these design patterns help learners understand how to structure intelligent systems in a modular and scalable way. The course delves into patterns like Reflection, Tool Use, Planning (with the ReAct technique), and Multi-agent collaboration, which are essential for developing complex AI applications that are efficient, intelligent, and collaborative.

This course introduces and explores four key AI agentic design patterns that are fundamental for building intelligent AI systems. It covers practical, hands-on techniques for applying each design pattern, such as Reflection, Tool Use, Planning with ReAct, and Multi-agent Collaboration. Using Ollama, a platform for building and interacting with machine learning models, the course walks learners through the setup, implementation, and integration of these patterns to create intelligent workflows for various applications.

After completing the course, you will have a deep understanding of AI agentic design patterns and how to apply them to real-world AI workflows. You’ll be able to build intelligent systems using Ollama that employ Reflection, Tool Use, Planning with ReAct, and Multi-agent collaboration. This will enable you to create scalable and efficient AI applications, especially in scenarios requiring multiple agents working together, planning tasks, and utilizing various tools in their workflows.

To get the most out of this course, you should have a basic understanding of AI concepts and machine learning. Familiarity with programming, particularly in Python, will be helpful for the hands-on sections where you’ll work with AI models and build workflows. Additionally, prior experience with using APIs or development environments will be useful for setting up the tools and integrating the design patterns effectively.

This course is designed for AI developers, data scientists, and machine learning enthusiasts who want to deepen their knowledge of AI agentic workflows. It's ideal for anyone interested in building complex AI systems that involve multiple agents, decision-making, and interaction with various tools. Whether you’re looking to enhance your professional AI development skills or simply expand your understanding of AI architecture, this course is a great fit.

The course is approximately 1 hour of video content, but the time it takes to complete will vary depending on how long you take to go through the practical exercises and hands-on sections. If you take the time to experiment with the patterns and create your own projects, it may take a bit longer to fully grasp all the concepts and techniques presented in the course.