Build Reasoning and Acting AI Agents with ReAct
Create intelligent agents that combine step-by-step reasoning with targeted actions using the ReAct framework. Learn to build AI systems that can break down complex queries, search for information, analyze results, and take appropriate actions to solve problems. This project teaches you to implement the complete ReAct cycle in LangGraph where agents think before they act, observe outcomes, and refine their approach. In 45 minutes, master techniques for developing more reliable and transparent AI assistants capable of multi-step problem solving.

Language
- English
Topic
- Artificial Intelligence
Skills You Will Learn
- LangGraph, LLM, Prompt Engineering, Generative AI, AI Agent, Python
Offered By
- IBMSkillsNetwork
Estimated Effort
- 45 minutes
Platform
- SkillsNetwork
Last Update
- July 8, 2025
What you'll learn
- Implement the complete ReAct framework using LangGraph and LangChain
- Design specialized tools for your AI agents to interact with external systems
- Structure effective reasoning prompts that guide models through complex problem-solving
- Build graph-based workflows that implement the reasoning-acting-observing cycle
- Debug and trace agent reasoning processes to improve reliability
- Apply ReAct patterns to create more capable AI assistants for real-world applications
Who should enroll
- AI developers looking to create more reliable, reasoning-based agent systems
- NLP practitioners interested in improving how language models tackle complex tasks
- Software engineers wanting to implement structured reasoning in their AI applications
- Technical professionals seeking to understand and apply advanced AI agent architectures
What you'll need
- Basic understanding of Python programming
- Familiarity with language models and prompt engineering concepts
- Access to a modern web browser for the IBM Skills Network Labs environment
Why enroll

Language
- English
Topic
- Artificial Intelligence
Skills You Will Learn
- LangGraph, LLM, Prompt Engineering, Generative AI, AI Agent, Python
Offered By
- IBMSkillsNetwork
Estimated Effort
- 45 minutes
Platform
- SkillsNetwork
Last Update
- July 8, 2025
Instructors
Kunal Makwana
Data Scientist
I’m a passionate Data Scientist and AI enthusiast, currently working at IBM on innovative projects in Generative AI and machine learning. My journey began with a deep interest in mathematics and coding, which inspired me to explore how data can solve real-world problems. Over the years, I’ve gained hands-on experience in building scalable AI solutions, fine-tuning models, and leveraging cloud technologies to extract meaningful insights from complex datasets.
Read moreFaranak Heidari
Data Scientist at IBM
Detail-oriented data scientist and engineer, with a strong background in GenAI, applied machine learning and data analytics. Experienced in managing complex data to establish business insights and foster data-driven decision-making in complex settings such as healthcare. I implemented LLM, time-series forecasting models and scalable ML pipelines. Enthusiastic about leveraging my skills and passion for technology to drive innovative machine learning solutions in challenging contexts, I enjoy collaborating with multidisciplinary teams to integrate AI into their workflows and sharing my knowledge.
Read moreContributors
Joseph Santarcangelo
Senior Data Scientist at IBM
Joseph has a Ph.D. in Electrical Engineering, his research focused on using machine learning, signal processing, and computer vision to determine how videos impact human cognition. Joseph has been working for IBM since he completed his PhD.
Read moreTenzin Migmar
Data Scientist
Hi, I'm Tenzin. I'm a data scientist intern at IBM interested in applying machine learning to solve difficult problems. Prior to joining IBM, I worked as a research assistant on projects exploring perspectivism and personalization within large language models. In my free time, I enjoy recreational programming and learning to cook new recipes.
Read moreKaran Goswami
Data Scientist
I am a dedicated Data Scientist and an AI enthusiast, currently working at IBM's Skills Builder Network. Learning how some simple mathematical operations could be used to make predictions and discover patterns sparked my curiosity, leading me to explore the exciting world of AI. Over the years, I’ve gained hands-on experience in building scalable AI solutions, fine-tuning models, and extracting meaningful insights from complex datasets. I'm driven by a desire to apply these skills to solve real-world problems and make a meaningful impact through AI.
Read more