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Developers building and testing an AI agent workflow with connected tools and automated tasks
Artificial Intelligence · Course #007

Agentic AI and AI Agent Development

Agentic AI and AI Agent Development is an advanced, project-based course focused on building AI systems that can plan, use tools, retrieve information and complete multi-step tasks. Participants explore agent architecture, instructions, structured outputs, tool integration, memory, orchestration and multi-agent collaboration. The course also covers guardrails, human approval, testing, evaluation, tracing, security and production monitoring. Learners apply these concepts by designing and testing a practical AI agent prototype.

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Overview

Agentic AI and AI Agent Development is an advanced, project-based course focused on building AI systems that can plan, use tools, retrieve information and complete multi-step tasks. Participants explore agent architecture, instructions, structured outputs, tool integration, memory, orchestration and multi-agent collaboration. The course also covers guardrails, human approval, testing, evaluation, tracing, security and production monitoring. Learners apply these concepts by designing and testing a practical AI agent prototype.

Course Highlights

AI agent architecture and design

Tool and API integration

Context, retrieval and memory

Single-agent and multi-agent workflows

Guardrails and human approval

Evaluation, tracing and monitoring

Modules & Curriculum

Agentic AI Foundations and Use-Case Selection

Agent Architecture, Instructions and Structured Outputs

Tool Use, Function Calling and API Integration

Context, Retrieval and Memory

Agent Orchestration, Handoffs and Multi-Agent Systems

Guardrails, Human Approval and Security

Testing, Evaluation and Tracing

Deployment, Monitoring and AI Agent Capstone

Learning Outcomes

  • Explain the differences among AI assistants, automated workflows and autonomous AI agents.
  • Select suitable use cases and define clear goals, boundaries and success criteria.
  • Design agents with effective instructions, tools and structured outputs.
  • Connect agents to APIs, databases, search systems and business functions.
  • Manage context, retrieval and memory across multi-step interactions.
  • Develop single-agent and multi-agent workflows using orchestration and handoffs.
  • Implement guardrails, approval checkpoints and security controls.
  • Test, evaluate, trace and monitor agent performance.
  • Build and present a functional AI agent prototype.

Ready to Build Your Future-Ready Skills?

Design, build and evaluate AI agents that can use tools and complete complex workflows.

Enroll Interest

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