Guardrails provide validation and safety controls around agent inputs and outputs. They help organizations build more controlled and reliable AI agent workflows.

Can OpenAI Agents SDK maintain context?

Yes. Sessions and context-management capabilities can be used to maintain information across interactions and support multi-turn agent workflows.

Is OpenAI Agents SDK useful for enterprise applications?

Yes. Its tools, orchestration, guardrails, sessions, tracing, and evaluation capabilities can support enterprise AI applications such as automation, research, customer service, and internal AI assistants.

Is OpenAI Agents SDK suitable for beginners?

The course is designed at an advanced level. Basic programming and familiarity with AI, APIs, or LLM concepts will help learners understand and implement the SDK more effectively.

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OpenAI Agents SDK

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OpenAI Agents SDK

Q: What is OpenAI Agents SDK?

OpenAI Agents SDK is a framework for building agentic AI applications where AI agents can follow instructions, use tools, delegate tasks, maintain context, and execute multi-step workflows.

Q: Who should learn OpenAI Agents SDK?

The course is suitable for developers, AI engineers, software professionals, automation specialists, and technical teams who want to build practical AI agents and multi-agent applications.

Q: What can be built using OpenAI Agents SDK?

OpenAI Agents SDK can be used to build AI assistants, research agents, workflow automation systems, customer-support agents, document-processing workflows, and multi-agent applications.

Q: Does OpenAI Agents SDK support multi-agent workflows?

Yes. Agents can delegate work through handoffs and other orchestration patterns, allowing specialized agents to collaborate on complex tasks.

Q: What are tools in OpenAI Agents SDK?

Tools allow agents to interact with functions and external capabilities. They can help an agent retrieve information, process data, perform actions, or interact with external systems.

Q: What are handoffs in AI agents?

Handoffs allow one agent to transfer responsibility to another specialized agent. This makes it possible to design workflows where different agents handle different tasks.

Learn OpenAI Agents SDK to build AI agents, integrate tools, orchestrate multi-agent workflows, apply guardrails, and create practical agentic AI applications.

5/5(4,890 Reviews)

Level

Advanced

Duration

4 week

About

Training Plan

Course Curriculum

New Batch

Projects

Certificate

Testimonials

FAQ

Interview FAQ

Placement Client

About OpenAI Agents SDK

OpenAI Agents SDK is a practical course designed to help developers and AI professionals understand how to build, orchestrate, and manage agentic AI applications using the OpenAI Agents SDK.

The course covers the core building blocks of the SDK, including agents, instructions, models, tools, handoffs, guardrails, sessions, tracing, structured outputs, and multi-agent workflows.

You will learn how to create AI agents that can use tools, integrate with external systems, delegate work to specialized agents, and manage complex workflows. The course also covers MCP integrations, evaluation, debugging, observability, and human-in-the-loop workflows.

Advanced capabilities such as sandbox-based agent workflows and long-running agent tasks are also introduced where relevant. By the end, learners will have a structured understanding of how to design, build, orchestrate, test, and improve practical agentic AI applications using OpenAI Agents SDK.

Training Plan

About trainer

Working professional who is carrying more than 10 years of industry experience.

Decks & Updated Content

Access to updated presentation decks shared during live training sessions.

e-Book

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.

OpenAI Agents SDK Course Curriculum

Module 1: Introduction to AI Agents

Understand AI agents, agentic AI concepts, and how agents can perform multi-step tasks using models, tools, and workflows.

AI Agents Fundamentals

Agentic AI Concepts

AI Agents vs Chatbots

Agent Components

Agentic Workflows

Real-World AI Agent Use Cases

Module 2: OpenAI Agents SDK Fundamentals

Learn the core architecture of OpenAI Agents SDK and understand the components required to create and run AI agents.

OpenAI Agents SDK Overview

SDK Architecture

Agents and Instructions

Model Configuration

Agent Execution

Runner Fundamentals

Basic Agent Workflow

Module 3: Building AI Agents

Build practical AI agents and learn how instructions, models, inputs, outputs, and execution work together.

Creating Agents

Agent Instructions

Model Selection

Agent Inputs

Agent Outputs

Running Agents

Async Agent Execution

Module 4: Tools and Function Calling

Learn how to connect AI agents with functions and external capabilities so agents can perform useful actions.

Agent Tools

Function Tools

Tool Definitions

Tool Parameters

Function Calling

Tool Schemas

Tool Error Handling

Module 5: Agent Handoffs

Learn how agents can delegate tasks to specialized agents and build coordinated multi-agent workflows.

Agent Handoffs

Agent Delegation

Triage Agents

Specialist Agents

Multi-Agent Workflows

Agents as Tools

Workflow Orchestration

Module 6: Guardrails

Understand how to add validation and safety controls to AI agent workflows and reduce unwanted agent behavior.

Input Guardrails

Output Guardrails

Validation

Safety Checks

Guardrail Workflows

Prompt Injection Awareness

Human Oversight

Module 7: Sessions and Context

Learn how agents maintain context and manage state across multiple interactions and workflow steps.

Agent Sessions

Conversation Context

State Management

Multi-Turn Interactions

Session Persistence

Context Management

Conversation Continuity

Module 8: MCP and External Integrations

Learn how AI agents can connect with external tools, services, and data sources using MCP and integrations.

Model Context Protocol

MCP Fundamentals

MCP Tools

External Tool Integration

Data Access

Secure Integrations

Agent-System Connectivity

Module 9: Structured Outputs and Workflow Control

Learn how to create controlled and reliable agent workflows using structured outputs and defined response formats.

Structured Outputs

Output Schemas

Data Validation

Workflow Control

Agent Decision Logic

Reliable Outputs

Business Workflow Automation

Module 10: Tracing and Evaluation

Learn how to monitor, debug, evaluate, and improve AI agent execution and workflow performance.

Agent Tracing

Execution Monitoring

Debugging

Tool Call Analysis

Agent Evaluation

Failure Analysis

Performance Improvement

Module 11: Advanced Agent Workflows

Explore advanced agent patterns including human approval, long-running tasks, sandbox workflows, and complex orchestration.

Advanced Agent Orchestration

Human-in-the-Loop

Approval Workflows

Long-Running Tasks

Sandbox Agents

Agent Resumption

Advanced Workflow Patterns

Module 12: Practical AI Agent Project

Apply the complete OpenAI Agents SDK workflow to design, build, test, evaluate, and improve a practical agentic AI application.

Project Architecture

Agent Design

Tool Integration

Multi-Agent Orchestration

Guardrails

Session Management

Tracing and Evaluation

Testing

Production Readiness

AI Courses Courses

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Additional Program Highlights

Comprehensive study materials and resources

Professional resume building session

Master your interview skills

Real-world project demonstrations

Upcoming Batches

✓ Selected

Weekdays

📅 18 Aug 2026

⏰ Time

07:00 AM11:00 AM

02:00 PM09:00 PM

Weekdays

📅 21 Aug 2026

⏰ Time

07:00 AM11:00 AM

02:00 PM09:00 PM

Weekends

📅 23 Aug 2026

⏰ Time

07:00 AM11:00 AM

02:00 PM09:00 PM

Weekdays

📅 24 Aug 2026

⏰ Time

07:00 AM11:00 AM

02:00 PM09:00 PM

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Who Should Take the OpenAI Agents SDK Course?

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

Career Opportunities After Learning OpenAI Agents SDK

AI Agent Developer

AI Engineer

Generative AI Engineer

AI Application Developer

Machine Learning Engineer

Agentic AI Developer

AI Automation Engineer

AI Software Engineer

AI Agent Developer

AI Engineer

Generative AI Engineer

Key Projects

Practical OpenAI Agents SDK Projects

Accenture – AI Support Agent Workflow

Scenario: Build an AI support workflow using specialized agents, tools, and handoffs to handle customer queries, retrieve information, route requests, and escalate complex cases.

Live Work:

Build a customer support agent
Add tools for information lookup
Route complex queries to specialists

Outcome: Faster and structured support workflows

Deloitte – Multi-Agent Research Assistant

Scenario: Build a multi-agent research assistant that divides research tasks among specialist agents, combines findings, validates outputs, and creates structured research responses.

Live Work:

Create research specialist agents
Implement agent handoffs
Generate structured research reports

Outcome: Automated multi-agent research workflow

Microsoft – AI Workflow Automation Agent

Scenario: Develop an AI agent that uses tools to process business requests, perform workflow actions, validate outputs, and maintain context across multiple interactions.

Live Work:

Create workflow automation tools
Add validation and guardrails
Maintain agent session context

Outcome: Reliable AI workflow automation

Infosys – Enterprise AI Agent System

Scenario: Build an enterprise-style multi-agent system with specialist agents, tool integration, guardrails, tracing, and evaluation for controlled business task execution.

Live Work:

Design specialist agent architecture
Add tracing and evaluation
Test end-to-end agent workflows

Outcome: Production-focused agent solution

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

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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 OpenAI Agents SDK?

Who should learn OpenAI Agents SDK?

What can be built using OpenAI Agents SDK?

Does OpenAI Agents SDK support multi-agent workflows?

What are tools in OpenAI Agents SDK?

What are handoffs in AI agents?

Industry-Recognized Certification

OpenAI Agents SDK

News Highlights

TechPratham Introduces Hire-Train-Deploy Model to Transform HR & ERP Talent in the AI Era

TechPratham Empowering Future Professionals Through AI-Focused HR & ERP Training

Featured In

TechPratham Gains Recognition for Bridging the HR & ERP Skills Gap with Hire-Train-Deploy

TechPratham's Hire-Train-Deploy Approach Reshaping HR & ERP Careers in the AI-Driven Industry

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All Courses

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OpenAI Agents SDK

Enquire This Course

Placement Client

About OpenAI Agents SDK

Training Plan

About trainer

Decks & Updated Content

e-Book

Assignments & MCQs

Video Recording

Projects

Resume Building

Interview Preparation

OpenAI Agents SDK Course Curriculum

Module 1: Introduction to AI Agents

Module 2: OpenAI Agents SDK Fundamentals

Module 3: Building AI Agents

Module 4: Tools and Function Calling

Module 5: Agent Handoffs

Module 6: Guardrails

Module 7: Sessions and Context

Module 8: MCP and External Integrations

Module 9: Structured Outputs and Workflow Control

Module 10: Tracing and Evaluation

Module 11: Advanced Agent Workflows

Module 12: Practical AI Agent Project

AI Courses Courses

Additional Program Highlights

Upcoming Batches

Who Should Take the OpenAI Agents SDK Course?

Career Opportunities After Learning OpenAI Agents SDK

Key Projects

Practical OpenAI Agents SDK Projects

Accenture – AI Support Agent Workflow

Live Work:

Deloitte – Multi-Agent Research Assistant

Live Work:

Microsoft – AI Workflow Automation Agent

Live Work:

Infosys – Enterprise AI Agent System

Live Work:

Placement Process

Live Class with Industry Use Cases

Daily Assignment & Weekly Assessments

Project Testing & Deployment

Interview Preparation (Mock, PD, Alumni Session)

Resume Building

Placement

Latest Hiring

Recently Placed Candidates

Latest Hiring

Our Success Mantra

Commitment

Fulfillment

Accomplishment

Our Learner Voice

Beyond Courses:

What Makes TechPratham Training Different?

What is OpenAI Agents SDK?

Who should learn OpenAI Agents SDK?

What can be built using OpenAI Agents SDK?

Does OpenAI Agents SDK support multi-agent workflows?

What are tools in OpenAI Agents SDK?

What are handoffs in AI agents?

What is OpenAI Agents SDK?

What is an AI agent?

What is an Agent in OpenAI Agents SDK?

What is Runner?

What are function tools?

What is an agent handoff?

OpenAI Agents SDK Certification

Industry-Recognized Certification

News Highlights

Featured In

India

Head Office

India

Noida Office