Building Agentic Apps with the OpenAI SDK

Building Agentic Apps with the OpenAI SD

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.

Course Format and Delivery

Delivery Method: Instructor-Led Training (ILT) or Instructor-Led Online (ILO)
Schedule: Half a day or 4x 1-hour sessions

Group Discount: 20% off for 3+ attendees from the same organization.

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

Zaki Medina

Facilitator

Zaki Medina is a passionate technologist and AI strategist with 17+ years of experience helping businesses harness the power of AI, cloud, and data to drive real-world impact. He’s worked with Fortune 100 companies, startups, and industrial giants, shaping AI-driven strategies that have generated $1B in value. Zaki has a knack for making complex AI concepts accessible and actionable, whether he's advising executives, training sales teams, or speaking at global events. As a former Microsoft AI Business School Instructor, he’s helped healthcare, energy, and manufacturing leaders integrate AI into their operations. Zaki is always at the forefront of Generative AI, AI-driven automation, and intelligent systems. He’s not just about theory—he’s about making AI work for people, businesses, and industries in a way that delivers results. Curious about where AI is heading? Want to talk about Agentic AI or how to integrate AI into your business? Let’s connect!