Build Smarter Systems with Intelligent Agents – Hands-on AutoGen | IBM Bee | LangGraph | CrewAI | AutoGPT(AI)
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What you’ll 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
Explore related topics
This course includes:
- 4 hours on-demand video
- 60 articles
- Access on mobile and TV
- Full lifetime access
- Closed captions
- Certificate of completion
Course content
18 sections • 88 lectures • 5h 16m total length
- Certificate of Completion
- Meet the instructor and course introduction
- What are Agentic Design Patterns?
- Importance and real-world relevance
- Course objectives and how to make the most out of the course
- Definition and evolution of intelligent agents
- Key terminologies and concepts overview
- What Are Agents?
- Types of Agents
- Agent Architectures
- How Agents Communicate
- Behavioral Patterns
- Structural Patterns
- Interaction Patterns
- Coordination Patterns
- Negotiation Patterns
- Learning Patterns
- Tools for Designing Agentic Systems
- Coding Intelligent Agents
- Case Studies
- Ethical and Practical Challenges
- Future Trends
- 1. Hands-on AutoGen | IBM Bee | LangGraph | CrewAI | AutoGPT
- 2. Hands-on AutoGen
- 3. Hands-on IBM Bee Framework
- 4. Hands-on LangGraph
- 5. Hands-on CrewAI
- 6. Hands-on AutoGPT
- Introduction to Reactive Agent
- Project 1: Instant Sentiment Classifier
- Project 2: Weather Responder Bot
- Project 3: Spam Detection Bot
- Project 4: Movie Genre Guesser
- Project 5: Language Detector
- Introduction to Goal-Oriented Agent
- Project 1: Travel Itinerary Builder
- Project 2: Daily Routine Designer
- Project 3: Fitness Goal Coach
- Project 4: Resume Builder Agent
- Project 5: Event Planner
- Introduction to Tool-Using Agent
- Project 1: Math Solver with Tools
- Project 2: Image Captioning Agent
- Project 3: Currency Converter
- Project 4: PDF Summarizer Tool Agent
- Project 5: Task Scheduler
- Introduction to Reflection Agent
- Project 1: Self-Improving Summary Generator
- Project 2: Essay Evaluator Agent ?
- Project 3: Code Reviewer Agent
- Project 4: Story Improver Agent
- Project 5: Idea Evaluator
- Introduction to Memory-Based Agent
- Project 1: AI Tutor with Memory
- Project 2: Personal Journal Assistant
- Project 3: Customer Support Agent
- Project 4: Therapy Bot with Emotional Memory
- Project 5: Recipe Recommender with Dietary Memory
- Introduction to Multi-Agent Collaboration
- Project 1: Book Writing Team
- Project 2: Medical Diagnostic Team
- Project 3: Startup Pitch Team
- Project 4: Legal Review System
- Project 5: Product Design Team
- Introduction to Host-Agent with Remote Agents
- Project 1: Travel Host Agent
- Project 2: E-commerce Host Agent
- Project 3: Healthcare Host Agent
- Project 4: News Aggregator Host
- Project 5: Learning Platform Host
- Introduction to ReAct Pattern
- Project 1: Math Reasoning Assistant
- Project 2: QA Assistant
- Project 3: Interactive Game Solver
- Project 4: Bug Fixing Assistant
- Project 5: Medical Reasoning Agent
- Introduction to Self-Correcting Agent
- Project 1: Coding Bot with Unit Tests
- Project 2: Essay Rewriter
- Project 3: Data Cleaner Agent
- Project 4: Recipe Optimizer
- Project 5: Exam Answer Revisor
- Introduction to Recursive Agent
- Project 1: Math Word Problem Solver
- Project 2: Query Parser Agent
- Project 3: Recursive Code Generator
- Project 4: Topic Explainer
- Project 5: Workflow Builder
- Basic understanding of programming concepts (any language)
- Familiarity with object-oriented principles (optional but helpful)
- A computer with internet access to run development tools
- Willingness to learn new frameworks like JADE or SPADE
- Curiosity about intelligent systems and design patterns
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.
Who this course is for:
- Software Developers wanting to design smarter, autonomous systems
- AI Enthusiasts eager to explore agent-based architectures
- Product Managers looking to integrate intelligent agents into their products
- Computer Science Students seeking hands-on experience with agentic design
- Beginners new to agent-based systems who want a pattern-driven approach
- Seasoned Developers aiming to upskill with advanced agent design techniques
- Anyone Curious about how intelligent agents can transform finance, smart cities, autonomous vehicles, and more
Note: The course is free for a limited time and limited to 500 users. Enroll as soon as possible. If it is no longer free, it means you are late, and it has already exceeded its limits.
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