Intermediate AI Agents

Agentic AI

Go beyond prompt engineering to production-grade agentic systems. Learn tool calling, multi-agent orchestration, LangGraph workflows, memory management, and how to ship agents that work reliably in the real world.

12 Modules
3.8h Duration
Text + Code Format
Free Cost
Prerequisites
  • Python proficiency
  • Basic LLM API experience (OpenAI or Anthropic)

What you'll learn

  • Understand the perception-reasoning-action loop that defines AI agents
  • Implement tool use and function calling with leading LLM APIs
  • Apply ReAct and Chain-of-Thought patterns for robust reasoning
  • Design and orchestrate multi-agent systems with clear handoff protocols
  • Manage short-term and long-term memory using vector stores
  • Ship a production AI agent with monitoring, error handling, and safety guards

Course Curriculum

12 modules · 3.8 hours total

Go further with expert guidance

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Talk to our R&D team.

These courses give you the foundation. Our embedded AI teams take you from prototype to production in 30–90 days, with your team, your codebase, your goals. Book a free strategy call to see how we can accelerate your AI initiative.

30 minutes · No obligation · Expert AI engineers, not sales reps

AI Architecture Review

Audit your current stack and identify high-impact improvements

Project Review

Get expert feedback on your AI implementation and codebase

Team Mentoring

Upskill your engineers with hands-on AI coaching sessions

AI Strategy

Define your AI roadmap, prioritization, and implementation plan