Name: AI Agents: From Foundations to Enterprise Systems
Availability: InStock

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 experience with AI agents or agent frameworks is required
Basic familiarity with programming concepts (any language) is helpful but not mandatory
Comfort using a computer, web tools, and cloud-based applications
Willingness to experiment, troubleshoot, and learn through hands-on labs
Access to a laptop or desktop with internet connectivity
Optional: prior exposure to Python, APIs, or LLM tools will accelerate learning but is not required

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

Executive Leader

4.6 Instructor Rating

55 Reviews

8,889 Students

8 Courses

14.99 FREE 100% OFF

Expires in 2 days

Certificate of Completion

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