GenAI Foundations and AI Agents Development
Design autonomous AI agents, multi-agent workflows, tool use, and safety controls
Created by Starweaver
Explore how to build autonomous AI agents that reason, plan, and interact with tools to handle complex workflows. Learn to design multi-agent systems, implement safety controls, and develop support agents that operate reliably in real-world environments.
Starweaver | Jun 2026 | 148 min
What You Will Learn
You'll start by learning the core concepts behind generative AI and agent architectures. Step by step, you'll move from foundational LLM setup to hands-on agent design, tool integration, and multi-agent coordination. Along the way, you'll apply safety and testing frameworks to ensure your agents are production-ready.
Key Features
- Build and deploy AI agents that reason, plan, and use external tools effectively
- Coordinate multi-agent workflows and design robust communication protocols
- Apply safety controls and testing strategies for reliable agent deployment
Target Audience
This course is ideal for data engineers, ML engineers, software engineers, and AI/ML specialists ready to design and deploy intelligent agent-based systems. If you want to move beyond basic AI applications and create autonomous agents for complex workflows or customer support, you'll find practical guidance and actionable skills here.
