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
Placement Client
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About 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.
Training Plan
About trainer
Working professional who is carrying more then 10 years of industry experience.
Decks & Updated Content
Access to updated presentation decks shared during live training sessions.
e-Book
E-book provided by TechPratham. All rights reserved.
Assignments & MCQs
Module-wise assignments and MCQs provided for practice.
Video Recording
Daily Session would be recorded and shared to the candidate.
Projects
Live projects will be provided for hands-on practice.
Resume Building
Expert-guided resume building with industry-focused content support.
Interview Preparation
Comprehensive interview preparation with real-time scenario practice.
Enterprise Agentic Workflows with PydanticAI & LangGraph Course Curriculum
Foundations 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.
Agentic Ai Courses
No related courses found
Additional Program Highlights
Upcoming Batches
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Who Should Take Enterprise Agentic Workflows with PydanticAI & LangGraph
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Working Professionals
Ops/Administrators/HR
Developers
BA/QA Engineers
Cloud / Infra
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Job Roles For Enterprise Agentic Workflows with PydanticAI & LangGraph
Agentic AI Solutions Consultant
Enterprise AI Automation Engineer
LLM Systems Architect
AutoGen AI Engineer
CrewAI Developer
Autonomous AI Workflow Engineer
AI Orchestration Architect
Multi-Agent Systems Engineer
Agentic AI Solutions Consultant
Enterprise AI Automation Engineer
LLM Systems Architect
Key Projects
Enterprise Agentic Workflows with PydanticAI & LangGraph
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Workday – Workday Agentic Flow Engine
Scenario: Enterprise agentic workflow built using PydanticAI and LangGraph to validate HR data, coordinate multi step approvals, and ensure compliant execution across systems.
Live Work:
- Modeled agents with strict schemas
- Designed LangGraph approval paths
- Enforced data validation at runtime
Microsoft – Microsoft Intelligent Agent Flow
Scenario: Agentic orchestration system using PydanticAI and LangGraph to manage enterprise tasks, enforce schema driven logic, and track execution paths across teams.
Live Work:
- Built typed agents using PydanticAI
- Created graph based task routing
- Logged agent decisions for audit use
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Salesforce – Salesforce Smart Agent Graph
Scenario: Agentic workflow engine leveraging LangGraph and PydanticAI to automate CRM actions, validate inputs, and guide AI agents through sales and service flows.
Live Work:
- Defined schema driven CRM agents
- Automated lead to case workflows
- Applied validation before CRM updates
UiPath – UiPath Agent Orchestration Hub
Scenario: Enterprise agentic workflow layer combining PydanticAI and LangGraph to guide bots, validate decisions, and control automation logic across business processes.
Live Work:
- Integrated agents into RPA flows
- Built graph based decision controls
- Validated bot inputs using schemas
Placement Process
Live Class with Industry Use Cases
- Interactive learning
- Real-world examples
- Expert guidance
- Doubt resolution
Daily Assignment & Weekly Assessments
- Hands-on practice
- Concept reinforcement
- Weekly evaluation
- Timely feedback
Project Testing & Deployment
- Project development
- Testing practice
- Deployment exposure
- Portfolio creation
Interview Preparation (Mock, PD, Alumni Session)
- Mock interviews
- Personal development
- Alumni guidance
- Confidence building
Resume Building
- Resume crafting
- Industry-focused format
- Skills highlighting
- Professional presentation
Placement
- Job assistance
- Interview support
- Career guidance
- Opportunity access
Knowledge Center
Recently Placed Candidates
We’re Hiring
News Highlights
Our Success Mantra
Commitment
- Ensuring quality training every day
Fulfillment
- Meeting learning goals with confidence
Accomplishment
- Students achieving industry-ready expertise
Our Learner Voice
Beyond Courses:
Additional Support We Provide
24/7 Support
LinkedIn Profile
Resume Writing
Alumni Sessions
Interview Preparation
Live Projects
What Makes TechPratham Training Different?
What are Enterprise Agentic Workflows?
What is Agentic AI and how is it different from traditional AI?
Who should learn Enterprise Agentic Workflows?
What career opportunities are available after this course?
How does Tech Pratham support learners?
How does Tech Pratham approach teaching Agentic AI differently?
Industry-Recognized Certification
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