Harness PydanticAI’s type-safe agents and LangGraph’s graph-based orchestration to design, build, and deploy scalable, enterprise-ready AI workflows.
Harness PydanticAI’s type-safe agents and LangGraph’s graph-based orchestration to design, build, and deploy scalable, enterprise-ready AI workflows.
Level
Advanced
Duration
8 weeks
Trusted by Leading Organizations
Enterprise Agentic Workflows with PydanticAI and LangGraph empower organizations to build scalable, reliable, and production-ready AI agents. By combining structured data validation, state management, and intelligent orchestration, businesses can automate complex enterprise processes efficiently. At jast tech, we provide hands-on training to design, deploy, and optimize enterprise-grade agentic AI workflows for real-world applications.
Enterprise Agentic Workflows with PydanticAI and LangGraph empower organizations to build scalable, reliable, and production-ready AI agents. By combining structured data validation, state management, and intelligent orchestration, businesses can automate complex enterprise processes efficiently. At jast tech, we provide hands-on training to design, deploy, and optimize enterprise-grade agentic AI workflows for real-world applications.
Job Roles You Can Achieve
After completing this course
- Solutions Architect
- Technical Consultant
- Implementation Specialist
- System Administrator
- IT Professional
Enterprise Agentic Workflows with PydanticAI & LangGraph Curriculum
Introduction to Agentic Workflows
Understand what agentic systems are, the need for structured workflows in enterprise AI, and how agents differ from simple LLM prompts.
PydanticAI Fundamentals
Learn the core of PydanticAI: type safety, structured outputs, agent classes, and Pythonic design for production workflows.
LangGraph Fundamentals
Explore LangGraph’s graph-oriented paradigm — nodes, edges, shared state, loops, branches, and memory — to build orchestrated workflows.
Building Your First Agent
Hands-on with PydanticAI to create your first autonomous agent with structured outputs and tool integration.
Orchestration with LangGraph
Learn how to design multi-step workflows where PydanticAI agents coordinate via LangGraph state and logic.
Related Courses
Training Roadmap
Seven intentional milestones — from first session to dream job.
Onboarding
- Meet your industry mentor
- Define your goals
- Skill gap assessment
Core Learning
- Live interactive classes
- AI-curated content
- Recorded sessions
Hands-on Practice
- Weekly assignments
- MCQ evaluations
- Module quizzes
Real Projects
- 3 live industry projects
- Portfolio building
- Case studies
Mentorship
- 1:1 doubt sessions
- Peer collaboration
- Expert feedback
Certification
- Exam preparation
- Practice dumps
- Industry-recognised certificate
Career Launch
- Resume crafting
- Mock interviews
- Job placement support
Key Projects
Available Course Schedules
Select a schedule that works best for you
Starts
04 Jul 2026
Time
09:30 AM – 12:30 PM
Duration
8 weeks
Starts
06 Jul 2026
Time
07:00 AM – 09:00 AM
Duration
8 weeks
Starts
11 Jul 2026
Time
02:00 PM – 05:00 PM
Duration
8 weeks
Starts
13 Jul 2026
Time
08:00 PM – 10:00 PM
Duration
8 weeks
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Our team will craft the perfect batch for you.
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Well-structured, up-to-date curriculum designed by industry experts to build strong fundamentals and advanced knowledge.
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Limited practical exposure with theory-heavy teaching approach.
Learn from certified professionals with years of industry experience and teaching expertise.
Instructors with limited industry experience or practical knowledge.
Work on real-world projects that enhance problem-solving skills and build a strong portfolio.
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Certification Details
Enterprise Agentic Workflows with PydanticAI & LangGraph – Associate
- Exam Name
Enterprise Agentic Workflows with PydanticAI & LangGraph – Associate
- Duration
130 minutes
- Format
Multiple Choice & Multi-Response
- Passing Score
720 (Scale: 100–1000)
- Level
Associate
Prepare
Top Interview Questions
Curated questions with expert answers to help you ace your next interview.
1. What advantages does PydanticAI offer over traditional LLM wrappers?
It provides type safety and structured output validation, reducing runtime errors and improving developer confidence.
2. How does LangGraph manage state across a workflow?
LangGraph uses shared state objects that flow through nodes, enabling persistent and contextual information through multi-step execution.
3. Why use graph-based orchestration for agentic workflows?
Graph orchestration supports loops, branching, and complex decision logic — critical for real-world, enterprise workflows.
4. What mechanisms enable human-in-the-loop control?
Workflows can pause at designated nodes awaiting approval or feedback before moving forward.
5. How would you debug a complex multi-agent workflow?
Use observability tools (logs, traces), state inspection, and replay runs — plus integrated dashboards (e.g., LangSmith + LogFire).
Support
Frequently Asked FAQs
Can't find what you're looking for? Reach out to our support team anytime.
1. What is the difference between PydanticAI and LangGraph?
PydanticAI is a Python agent framework focusing on type-safe agent building with structured outputs, while LangGraph is a graph-based orchestration engine designed for complex, stateful workflows.
2. Do I need to know Python to take this course?
Yes — familiarity with Python (especially Python typing and async) is essential since both PydanticAI and LangGraph are Python centric.
3. Can PydanticAI work without LangGraph?
Yes — simple agents and workflows can be built with PydanticAI alone, but LangGraph adds orchestration power for multi-step enterprise workflows.
4. Are these tools production-ready for enterprise use?
Yes — PydanticAI and LangGraph are designed for production use with observability, state persistence, and robust workflow control.
5. Can I deploy agentic workflows to cloud services?
Absolutely — workflows can be deployed to cloud servers (e.g., AWS, GCP, Azure) using standard Python deployments and containerization strategies from Module 9.
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JastTech
Training & Development Center
Plot no 9, IT Park, Madhapur, Hyderabad, Telangana 500081
Pune
JastTech
Training & Development Center
Sr. No. 30/2/1, 3rd Floor, Above Rajrshi Shahu Bank & BOB Balaji Nagar, Dhankawadi, Katraj, Pune, Maharashtra 411043
Kolkata
JastTech
Training & Development Center
Millenium City - Tower I, Salt Lake, Kolkata, West Bengal 700091
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