Enterprise Agentic Workflows with PydanticAI & LangGraph is a hands-on course by Tech Pratham that teaches professionals to build scalable, autonomous AI systems for enterprises. Learn to design intelligent agents using PydanticAI for structured outputs and reliable validation, and LangGraph for graph-based workflow orchestration and multi-agent collaboration. The course covers enterprise automation, integration with business systems, production deployment, security, and governance, with real-world projects that prepare learners to implement agentic AI workflows that enhance efficiency, decision-making, and business productivity.
Agentic Ai
AgentOps & Production Reliability (LLM-Ops 2.0)
Learn Enterprise agentic AI workflows using PydanticAI and LangGraph. Build scalable, multi-agent systems with hands-on, production-ready training by Tech Pratham.
5/5(4,890 Reviews)
Level
Advanced
Duration
8 Weeks
Placement Client
.png){kind=logo}
About AgentOps & Production Reliability (LLM-Ops 2.0)
Training Plan
01
About trainer
Working professional who is carrying more then 10 years of industry experience.
02
Decks & Updated Content
Access to updated presentation decks shared during live training sessions.
03
e-Book
E-book provided by TechPratham. All rights reserved.
04
Assignments & MCQs
Module-wise assignments and MCQs provided for practice.
05
Video Recording
Daily Session would be recorded and shared to the candidate.
06
Projects
Live projects will be provided for hands-on practice.
07
Resume Building
Expert-guided resume building with industry-focused content support.
08
Interview Preparation
Comprehensive interview preparation with real-time scenario practice.
AgentOps & Production Reliability Course Curriculum
Introduction to Agentic AI
Understand the fundamentals of Agentic AI and its role in enterprise workflow automation with Tech Pratham.
What is Agentic AI and its enterprise applications
Difference between traditional AI and agentic systems
Role of autonomous agents in workflow automation
Benefits of Agentic AI for businesses
Python & AI Prerequisites
Learn essential Python, APIs, and LLM basics required to build scalable agentic AI systems.
Python essentials for AI (async programming, type hints)
APIs and webhooks for agent integration
Basics of Large Language Models (LLMs)
Prompt engineering for agentic AI
PydanticAI Fundamentals
Master PydanticAI for structured outputs, reliable validation, and enterprise-ready AI agents.
Introduction to PydanticAI and structured outputs
Data validation and type safety for agents
Error handling, retries, and fallback mechanisms
Building reliable and production-ready AI agents
Designing Intelligent AI Agents
Build autonomous AI agents with decision-making, tool integration, and multi-step task planning.
Single-agent architecture and design patterns
Tool calling, memory management, and context handling
Decision-making logic and multi-step task planning
Best practices for enterprise-ready AI agents
LangGraph Core Concepts
Use LangGraph to orchestrate graph-based workflows, conditional logic, and agent coordination.
Introduction to LangGraph and its ecosystem
Nodes, edges, and graph-based workflow orchestration
Conditional execution, loops, and state management
Agent communication and coordination
Multi-Agent Orchestration
Design and manage collaborative multi-agent systems for large-scale enterprise workflows.
Designing collaborative multi-agent systems
Parallel execution and role-based agent workflows
Conflict resolution and task allocation
Monitoring multi-agent interactions in real time
Agentic Ai Courses
No related courses found
Additional Program Highlights
Comprehensive study materials and resources
HD
Professional resume building session
HD
Master your interview skills
HD
Real-world project demonstrations
HD
Upcoming Batches
Can't find a batch you were looking for?
Who Should enroll in this AgentOps & Production Reliability (LLM-Ops 2.0) Program
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 After Completing AgentOps & Production Reliability Training
AI Observability Engineer
LLM Deployment Engineer
AI DevOps Engineer
AI Infrastructure Engineer
MLOps Engineer
AI Platform Engineer
AI Production Reliability Engineer
AgentOps Engineer
AI Observability Engineer
LLM Deployment Engineer
AI DevOps Engineer
Key Projects
AgentOps & Production Reliability (LLM-Ops 2.0)
.jpg&w=256&q=75){kind=small}
Workday – Workday AgentOps Monitor
Scenario: AgentOps framework deployed to monitor AI agents in HR workflows, capturing failures, latency and drift while enforcing SLAs and ensuring production stability.
Live Work:
- Implemented agent health checks
- Built latency and error dashboards
- Defined rollback for failed agents
Outcome: Stable AI agents with reduced downtime
Microsoft – Microsoft AI Reliability Ops
Scenario: Production AgentOps solution ensuring AI reliability by tracking execution metrics, validating outputs, and managing safe recovery across enterprise workloads.
Live Work:
- Tracked agent execution metrics
- Added output quality validation
- Automated incident alert handling
Outcome: Enterprise AI systems with high trust
.jpg&w=256&q=75){kind=small}
Salesforce – Salesforce Agent Stability Lab
Scenario: AgentOps pipeline built to supervise CRM AI agents, detect performance drops, log decisions, and maintain reliable automation across sales and service flows.
Live Work:
- Logged agent decisions centrally
- Detected drift in AI responses
- Tuned agents for peak load use
Outcome: Consistent CRM automation at scale
UiPath – UiPath Agent Reliability Ops
Scenario: AgentOps layer integrated with RPA bots to monitor AI decisions, manage failures, and ensure reliable automation execution in production environments.
Live Work:
- Monitored AI driven bot actions
- Implemented safe fallback logic
- Analyzed failures for root cause
Outcome: Resilient automation with fewer breaks
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
Latest Hiring
No hiring posts
Recently Placed Candidates
No placements available
Latest Hiring
No hiring posts
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?
Feature
TechPratham Advantage
Industry Standard Institutes
Real-World Implementation
Live enterprise tenant access for 24/7 practice on real-world, enterprise-grade scenarios.
Restricted or simulation-based access that lacks real-world complexity.
Subject Matter Experts
Mentorship from certified professionals with 15+ years of global industry experience.
Generic instructors with no hands-on implementation background.
2026 Ready Curriculum
AI-driven curriculum with advanced platform integrations and real-world configurations.
Basic, outdated syllabus that misses key technical integrations.
Daily & Weekly assignments
Daily assignments and weekly assessments focused on concept reinforcement and continuous feedback.
Self-paced learning with no accountability or progress tracking.
End-to-End Lifecycle
Hands-on project testing and deployment with portfolio-ready real-world exposure.
Basic lab exercises without any deployment or testing practice.
Interview Readiness
Structured interview preparation including mock interviews, PD sessions, and alumni guidance.
Minimal support limited to a generic certificate of completion.
Placement Support
Guaranteed interview support through tie-ups with top MNCs and 1-on-1 mock interview sessions.
Basic career tips with no direct industry connections.
Training Support
24/7 technical doubt resolution and personalized mentoring support.
Limited mentor availability and no support after class hours.
Affordable Fees
Competitive fixed pricing with flexible payment options and transparent fee structure.
Inflated fees with hidden costs and low return on investment.
Real-World Implementation
Live enterprise tenant access for 24/7 practice on real-world, enterprise-grade scenarios.
Restricted or simulation-based access that lacks real-world complexity.
Subject Matter Experts
Mentorship from certified professionals with 15+ years of global industry experience.
Generic instructors with no hands-on implementation background.
2026 Ready Curriculum
AI-driven curriculum with advanced platform integrations and real-world configurations.
Basic, outdated syllabus that misses key technical integrations.
Daily & Weekly assignments
Daily assignments and weekly assessments focused on concept reinforcement and continuous feedback.
Self-paced learning with no accountability or progress tracking.
End-to-End Lifecycle
Hands-on project testing and deployment with portfolio-ready real-world exposure.
Basic lab exercises without any deployment or testing practice.
Interview Readiness
Structured interview preparation including mock interviews, PD sessions, and alumni guidance.
Minimal support limited to a generic certificate of completion.
Placement Support
Guaranteed interview support through tie-ups with top MNCs and 1-on-1 mock interview sessions.
Basic career tips with no direct industry connections.
Training Support
24/7 technical doubt resolution and personalized mentoring support.
Limited mentor availability and no support after class hours.
Affordable Fees
Competitive fixed pricing with flexible payment options and transparent fee structure.
Inflated fees with hidden costs and low return on investment.
What is AgentOps & Production Reliability (LLM-Ops 2.0)?
Why is production reliability important for LLM-based systems?
Who should learn LLM-Ops 2.0 and AgentOps?
How does AgentOps improve multi-agent workflows?
Is prior AI or MLOps experience required?
What enterprise problems does LLM-Ops 2.0 solve?
What is AgentOps and how is it different from MLOps?
How would you deploy an AI agent system into a production environment?
How do you monitor AI agent performance in production?
How would you handle agent failures in a production system?
What strategies would you use to reduce production cost for AI agents?
How do you secure AI agents in enterprise environments?
About Agentic AI Certification
Industry-Recognized Certification
AgentOps & Production Reliability Program
News Highlights
Featured In
India
View on Google MapsIndia
Noida Office
C-2, Sector-1, Noida, Uttar Pradesh - 201301
India
Hyderabad Office
LVS Arcade, 6th Floor, Hitech City, Hyderabad
Registered Office:
Noida Office:
Hyderabad Office:
Trending Certification Courses
Company
© 2026 TechPratham. All rights reserved.An ISO 9001:2015 Certified Company