10 Essential AI Agents Every Engineer Must Build
The fastest way to learn AI agents is to build them.
In this hands-on, build-along workshop, participants will create 10 production-inspired AI agents that demonstrate the core patterns powering modern agentic systems. Rather than focusing on isolated demos, the workshop follows a carefully structured journey: from how a single agent reasons and uses tools, to multi-agent orchestration, domain-specific intelligence, multimodal systems, and embodied AI.
Across four interactive acts, attendees will implement agents for knowledge retrieval, data analysis, fact-checking, financial planning, healthcare decision support, adaptive education, computer vision, and autonomous mission planning. Every concept is reinforced through working code, real-world scenarios, and practical engineering patterns that can be applied immediately in production environments.
By the end of the workshop, participants will have built and run 10 complete agents while gaining a framework for designing larger, more capable AI systems of their own.
Who Is This Workshop For?
AI and Machine Learning Engineers
Software Engineers building AI-powered applications
Technical Architects and Engineering Leaders
Developers exploring agentic AI, LLM applications, and automation
The workshop is designed for a mixed-experience technical audience. Whether participants are building their first agent or already experimenting with advanced AI workflows, they will leave with practical architectures, reusable code, and proven design patterns.
What You'll Take Away
A complete GitHub repository containing all 10 agents built during the workshop
Working implementations compatible with OpenAI, Claude, Gemini, local models, and a no-API-key simulation mode
Practical experience with tool use, RAG, multi-agent orchestration, code generation, verification systems, multimodal AI, and embodied intelligence
Reusable architectures and implementation patterns that can be adapted to real-world products and enterprise use cases
A clear mental model for designing, evaluating, and scaling agent-based systems
A complimentary copy of the eBook 30 Agents Every AI Engineer Must Build
A Certificate of Completion
Prerequisites
Laptop with Python 3.10 or later
Git installed and configured
Basic familiarity with Python programming
Every project includes a no-API-key simulation mode, along with ready-to-run notebooks for OpenAI, Claude, Gemini, and local models. Participants can begin building immediately without waiting on API access, credits, or complex setup.