Enterprise Agentic Workflows with PydanticAI & LangGraph
Build enterprise agentic workflows using PydanticAI & LangGraph to create scalable, reliable AI agents with structured validation, automation, and real-time decision making.
Level
Advanced
Duration
8 Weeks



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Enterprise Agentic Workflows with PydanticAI & LangGraph
Enterprise Agentic Workflows with PydanticAI & LangGraph enable organizations to build scalable, reliable, and autonomous AI agents with structured validation and intelligent decision-making. Using PydanticAI for data accuracy and LangGraph for multi-agent orchestration, enterprises can automate complex workflows, improve operational efficiency, and deploy production-ready agentic AI systems. Tech Pratham helps professionals and enterprises master these advanced agentic AI frameworks to stay ahead in the future of AI-driven automation.
Working professional who is carrying more then 10 years of industry experience.
Access to updated presentation decks shared during live training sessions.
E-book provided by TechPratham. All rights reserved.
Module-wise assignments and MCQs provided for practice.
Daily Session would be recorded and shared to the candidate.
Live projects will be provided for hands-on practice.
Expert-guided resume building with industry-focused content support.
Comprehensive interview preparation with real-time scenario practice.
Enterprise Agentic Workflows with PydanticAI & LangGraph
Course CurriculumFoundations of Agentic AI
Understand Agentic AI concepts, autonomous agents, and enterprise use cases that power intelligent decision-making and AI-driven automation.
Python & AI Prerequisites
Learn essential Python skills, APIs, and LLM fundamentals required to build scalable and production-ready AI agent workflows.
PydanticAI Fundamentals
Master PydanticAI for structured outputs, data validation, and reliable AI agent responses in enterprise-grade systems.
Building Intelligent AI Agents
Design, develop, and manage intelligent AI agents with tools, memory, and context handling for real-world workflows.
LangGraph Core Concepts
Explore LangGraph to create graph-based agent workflows using nodes, states, and conditional execution logic.
Multi-Agent Orchestration
Build collaborative multi-agent systems with parallel execution, role-based agents, and workflow coordination.
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Enterprise Agentic Workflows with PydanticAI & LangGraph
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Build an intelligent agentic system that automates end-to-end enterprise workflows such as approvals, task routing, and notifications. The agent autonomously analyzes requests, validates data, and triggers actions across systems.
Design a collaborative multi-agent system where specialized AI agents work together to analyze data, evaluate risks, and recommend business decisions. Each agent has a defined role and communicates through LangGraph.
Develop a production-ready AI agent that handles enterprise support requests by diagnosing issues, querying knowledge bases, executing tools, and escalating cases when needed with human-in-the-loop logic.


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