Core Components of an Agentic Workflow | Multi Agent Workflows for Beginners | Part 4 @Datasciencedojo
Core Components of an Agentic Workflow | Multi Agent Workflows for Beginners | Part 4  @Datasciencedojo
Uploaded November 2025 | Updated September 2026, 2 weeks ago
In Part 4, we break down the core components that make up any agentic workflow.

In this session:

- Learn what nodes are (the logic units behind agents like Sales, Legal, etc.)

- Understand edges as the connections between agents

- See how conditional edges add decision-making to a workflow

- Build a clear mental model of how multi-agent systems are structured at the foundation level

This part focuses on the minimum concepts needed to understand and design multi-agent workflows before moving toward hands-on implementation.

#AI #AgenticAI #MultiAgent #LLM #WorkflowDesign #GenerativeAI #Automation #NodesAndEdges

Learn data science, AI, and machine learning through our hands-on training programs: youtube.com/@Datasciencedojo/courses

Check our community webinars in this playlist: youtube.com/playlist?list=PL8eNk_zTBST-EBv2LDSW9Wx_V4Gy5OPFT

Check our latest Future of Data and AI Conference: youtube.com/playlist?list=PL8eNk_zTBST9Wkc6-bczfbClBbSKnT2nI

Subscribe to our newsletter for data science content & infographics: datasciencedojo.com/newsletter

Love podcasts? Check out our Future of Data and AI Podcast with industry-expert guests: youtube.com/playlist?list=PL8eNk_zTBST_jMlmiokwBVfS_BqbAt0z2
Core Components of an Agentic Workflow | Multi Agent Workflows for Beginners | Part 4Future of Data and AI: Agentic AI Conference - Day 1Amr Awadallah on Enterpreunership Journey From Tech Giants To Vectara | Episode 04 Part IEnhancing Neural Networks with Logic Based Rules | Machine Learning | Community WebinarWhat’s Really Holding Back Enterprise AI Adoption | Bob van Luijt x Data Science DojoWorkshop: Transformer Models with @SerranoAcademy | Future of Data and AI | Agentic AI ConferenceEmil Eifrem on Neo4j, Graph Databases, Connected Data & Graph-Native AI | Ep 08Tutorial: A Guide to Google DeepMinds AI Stack | Future of Data and AI | Agentic AI ConferenceLLM as a judge & other ways to evaluate agentsOverview of the Microsoft Fabric Interface with hands-on Exercises Part 1 #ai #microsoftfabricTesting LLMs Smarter: Multi-Model Experiments & InsightsEvaluation of LLM Applications: How Do You Know It Actually Works?
Data Science Dojo |

Core Components of an Agentic Workflow | Multi Agent Workflows for Beginners | Part 4

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER