GenAI Foundations and AI Agents Development
Design autonomous AI agents, multi-agent workflows, tool use, and safety controls
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.
