Building Agentic Apps with the OpenAI SDK

3 Days Instructor-led 

About this course 

This hands-on course is your launchpad into the world of AI Agents using OpenAI’s SDK and REST APIs. Learn how to build intelligent agents that reason, plan, use tools, and orchestrate complex workflows. Through interactive sessions, you’ll gain the skills to create real-world AI applications, from chat assistants to multi-agent systems. You’ll explore guardrails, security, and production-readiness – while working through practical use cases that integrate Python, APIs, and external tools.

What you will learn 

• Build and deploy intelligent agents using OpenAI’s SDK and REST APIs 

• Design multi-agent systems and implement orchestration with tool handoffs 

• Secure agent interactions and manage access to private/confidential data 

• Integrate external data sources and custom tools into your agent workflows 

• Understand architecture patterns, memory, planning, and safety mechanisms 

• Prototype agents that can automate complex real-world business tasks 
   

What you will need 

• Python experience and/or HTTP API familiarity (Postman or cURL helpful) 

• A computer with Python installed and working CLI access 

• IDE or environment for running REST calls (optional) 

• OpenAI API key (optional for hands-on) 

• Basic knowledge of Python, APIs, and LLM principles 

• Comfort using the terminal and following setup instructions 

• Curiosity about intelligent automation 

This course is great for 

• Software developers and technical product managers building AI-driven apps 

• AI/ML engineers exploring production-ready agent architecture 

• Developers seeking to integrate AI agents into enterprise systems 

• Professionals familiar with ChatGPT, now looking to build intelligent tools using agents 
   

Topics Covered 

Part 1: What Are AI Agents 
 

• What is an AI agent? 

• How agents differ from chatbots and traditional automation (e.g., RPA) 

• Intro to agentic workflows and autonomy 

• Overview of different AI Agentic frameworks and tools.  

• Group Discussion: “Where could agents make your work easier or more powerful?” 

• Live Q&A 
   

Part 2 – Anatomy of an AI Agent 

• Core components: memory, planning, tool use, feedback 

• Best practices for Agent design 

• Multi-agent systems and Model Context Protocol 

• Hands-On Exercise: “Map an agent architecture to a sample workflow”(e.g., lead follow-up, report generation, task triage) 

• Live Q&A 

Part 3 – Real-World Use Cases + Tools 

• Agents in ops, PM, research, sales, customer service 

• Tool demo: no-code agent builder 

• Tool stack examples using OpenAI and others 

• Group Exercise: “Given a use case, choose the best tool and justify your pick” 

• Discussion: “What blockers would you face deploying this in your org?” 

• Live Q&A 

Part 4 – Strategy, Piloting & Ethics 

• Prototyping your first agent 

• Governance, trust, and AI feedback loops 

• Measuring ROI, value, and readiness 

• Hands-On Walkthrough: “Build and run a simple agent using a no code AI Agent tool” 

• Observe and analyze output 

• Live Q&A + Next Steps 

• Summary of takeaways 

• Additional resources and follow-up learning