Mastering Agentic Design Patterns with Hands-on Projects (Udemy.com)
Build Smarter Systems with Intelligent Agents - Hands-on AutoGen | IBM Bee | LangGraph | CrewAI | AutoGPT(AI)
Created by: School of AI
Last updated February 2026
What you will learn
- Master fundamental concepts of agentic design
- Build intelligent agents using various architectures
- Apply key design patterns like Observer or Strategy
- Coordinate multi-agent systems with protocols like Contract Net
- Implement negotiation and bidding processes among agents
- Utilize reinforcement learning for adaptive agent behaviors
- Develop ethical, transparent, and accountable agent solutions
- Leverage tools like JADE or SPADE for agent implementation
- Explore real-world applications from smart cities to trading
- Plan next steps for continued growth in agentic design skills
How it compares
Against the other 1,182 rated Udemy courses in IT & Software on CourseDuck:
- Rating3.9 out of 5higher than 4% of them
- Reviews170#862 of 1,183 by number of reviews
- Length5.3 hoursshorter than 51% of them
- Last updatedFebruary 2026more recently than 65% of them
Course Description
Are you ready to bring intelligence to your software systems and explore a transformative approach to building autonomous solutions? Welcome to “Mastering Agentic Design Patterns: Build Smarter Systems with Intelligent Agents.” This course offers a deep dive into the principles and practical applications of agentic design, equipping you with the knowledge and hands-on skills to create robust, adaptive, and forward-thinking systems. Whether you’re an aspiring developer, a seasoned engineer, or a product manager aiming to enhance your project’s capabilities, this course will guide you through the entire journey of designing and implementing intelligent agents.
Over the span of several modules, you’ll begin by gaining a solid understanding of what intelligent agents are and why they are becoming indispensable across industries like finance, smart cities, and autonomous vehicles. We’ll demystify the various types of agents, from reactive agents that respond in real-time to proactive agents that can anticipate future conditions. You’ll also learn how hybrid agents combine the strengths of both, adapting their behaviors to meet a wide range of tasks and objectives.
Next, we delve into core design patterns that form the backbone of agentic systems. You’ll discover behavioral patterns such as the Observer and Strategy, structural patterns like Composite and Proxy, and interaction patterns that facilitate effective communication among agents, including Mediator and Chain of Responsibility. By mastering these patterns, you’ll be able to craft systems that are not only efficient and scalable but also incredibly flexible and easy to maintain.
As the course progresses, we introduce advanced agentic design patterns that take coordination, negotiation, and learning to new heights. Through the study of the Contract Net Protocol, you’ll see how agents can allocate tasks among themselves, optimizing productivity and performance. You’ll also gain insights into negotiation and auction protocols, enabling agents to bargain and bid for resources or tasks in a competitive environment. Moreover, by exploring reinforcement learning and evolutionary algorithms, you’ll understand how agents can learn from their interactions and adapt to changing conditions without requiring constant human intervention.
To ensure that theory translates into tangible, real-world value, we’ll guide you in implementing these intelligent systems using robust tools and frameworks like JADE and SPADE. From setting up your development environment to coding your first intelligent agent in Java or Python, you’ll get a hands-on feel for how these technologies come together in practice. We’ll also explore real-world case studies spanning smart city infrastructures, financial trading models, and even the exciting realm of autonomous vehicles, illustrating how agentic design patterns are revolutionizing multiple domains.
Finally, we’ll tackle the ethical and practical challenges that arise when deploying intelligent agents. Issues of privacy, transparency, and accountability are paramount in modern technology solutions, and our course doesn’t shy away from discussing them. You’ll learn about future trends in AI and machine learning that are poised to further enhance agentic design, giving you a glimpse into what lies ahead.
By the end of this course, you’ll have developed the expertise to not only conceptualize and design intelligent agents but also deploy them confidently in complex environments. Armed with practical knowledge, hands-on experience, and a comprehensive view of the ethical landscape, you’ll be ready to innovate and lead in the rapidly evolving world of agentic systems.
Instructor Details
- 3.9 Rating
170 Reviews
School of AI
We are your one-stop shop for all AI training needs. Since 2010, our expert instructors have been delivering top-tier education across cutting-edge technologies. Whether you’re a beginner or looking to advance your skills, our comprehensive training programs are designed to equip you with practical knowledge and real-world experience. From foundational AI concepts to advanced machine learning and deep learning techniques, we cover it all. Join us to gain hands-on expertise, guided by industry veterans committed to your success. Unlock your potential and stay ahead in the evolving world of artificial intelligence with training you can trust and results you can see.
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Reviews
By Cashlin on 11/7/2025
fantastic course I learnt a lot about Agentic design from this course truly valuable
By José Humberto Morales Rodríguez on 8/4/2025
Great knowledge of the instructor and the explanations have been quite understandable.
By Abhay Krishna on 5/6/2025
Good coverage of topics. Good for beginners, short and concise.
By Harrell Perlman on 3/11/2025
The lectures are comprehensive and the vocabulary is reinforced as the lessons proceed. The example s are clear. I am looking forward to the remaining parts of the course.
By Faisal on 2/13/2025
Google information copy pasted. Tutor just reads that
By Aaman Lamba on 2/12/2025
the opening section was good, but later sections were mostly text Python examples, with no usage of LLMs or real explanations
By Rohit Sathya on 1/7/2025
whilst informational, a lot of content appears repetitive.
By Senthil Kumaran on 1/5/2025
The course is very flat with text-only slides. The author just reads the presentation most of the time. Content & pattern are repeating in many places.
By Cavin Rahadian Saputra on 1/1/2025
Very solid course,comprehensive material and excelent lecturer.Looking forward for another courses.
By Rahul Khanna on 12/27/2024
Great Course. Highly recommend for anyone planning to bring AI Agents in their organization
Quality Score
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Overall Score : 78 / 100












