What You'll Learn
- Design and implement single-agent and multi-agent AI systems using modern agent architectures
- Build AI agents with memory, planning, reasoning, and tool-calling capabilities
- Deploy retrieval-augmented, data-driven, and multi-modal AI agents for real-world tasks
- Orchestrate, monitor, and optimize agent workflows for performance, cost, and reliability
- Apply security, governance, and responsible AI principles to production-grade agents
- Integrate AI agents into enterprise workflows across HR, finance, IT, and operations
Requirements
- No prior knowledge required
- A computer with internet access
- Eagerness to learn
Who This Course is For
- Software engineers and developers who want to build autonomous, tool-using AI agents
- Data scientists and ML practitioners expanding into agentic and multi-agent systems
- AI engineers and architects designing scalable, production-ready agent platforms
- Technical leaders and solution architects exploring enterprise AI automation
- Founders, builders, and product teams creating AI-powered applications and workflows
- Professionals transitioning into AI roles who want practical, hands-on experience with agents
Your Instructor
Experienced Instructor
Professional Educator
An experienced instructor with expertise in this field and a passion for teaching.
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