In this video, you'll learn how to build reliable AI agents that work in production systems, based on Siddhant's two years of real-world experience with various Agent frameworks and tools. You'll learn how to use OpenAI's new Responses API, built-in tools, and Agents SDK to build production-ready agents. Through real-world business case studies and examples from companies like Hebbia, Unify, Coinbase, and Box, you'll see how they've applied these tools to build agents to automate tasks like investment research, customer support, data analysis, and go-to-market operations. You'll also get a step-by-step roadmap for building your first production-ready agent.
Target Audience and Technical Background:
- Developers and engineers ready to deploy agents in real business environments
- Engineering teams looking for production-ready tools and frameworks
- Tech leads and Software architects responsible for implementing scalable agent solutions
- Startup founders, CTOs and Product managers seeking competitive advantages through automation
- Enterprise developers working with legacy systems and complex workflows
- Students and researchers seeking how to build reliable agents in production
Prerequisites: Basic programming knowledge in Python and familiarity with APIs and LLMs. Tutorial 2 assumes understanding of agent concepts covered in Tutorial 1.
100xEngineers is a leader in AI literacy and Applied AI education. With over 1 million followers across social channels, we foster the largest and the most active AI community in the world.
Our flagship 6-month Applied AI program delivers one of the most advanced curriculums to C-levels, VPs, engineers and marketers hailing from some of the top companies globally.
Partnered with AI leaders across the board, it’s our mission to inform, educate and engage professionals in Applied AI, as they are ushered into the era of intelligence.
