Free AI Agent Courses
Curated high-quality AI courses to help you master agents, memory, voice systems, and real-world applications.
AI Agents in LangGraph
Learn to build, debug, and maintain AI agents using LangGraph, including agentic search, persistence, and human-in-the-loop workflows.
Long-Term Agentic Memory with LangGraph
Build AI agents with semantic, episodic, and procedural memory, including a real-world personal email agent.
Multi AI Agent Systems with CrewAI
Design teams of AI agents that collaborate on complex, multi-step tasks using natural language prompts.
Practical Multi AI Agents & Advanced Use Cases with CrewAI
Build and deploy real-world agent-based systems for planning, lead scoring, analytics, and content creation.
Building Live Voice Agents with Google’s ADK
Create real-time voice agents using Google’s Agent Development Kit and deploy them on Vertex AI.
Evaluating AI Agents
Systematically assess and improve AI agent reliability using tracing, decomposition, and evaluation techniques.
AI Agentic Design Patterns with AutoGen
Implement agentic patterns like Reflection, Planning, Tool Use, and Multi-Agent Collaboration using AutoGen.
Build Apps with Windsurf’s AI Coding Agents
Learn how AI-powered IDEs accelerate development through multi-file code generation and collaboration.
Event-Driven Agentic Document Workflows
Build event-driven agents that autonomously retrieve, process, and respond to document-based events.
Building AI Browser Agents
Create AI agents that interact with web browsers, including autonomous navigation and search strategies.
Building Code Agents with Hugging Face Smolagents
Learn secure code execution, monitoring, and evaluation of lightweight coding agents.
DSPy: Build and Optimize Agentic Apps
Develop modular GenAI applications using DSPy and optimize them with structured evaluation.
NVIDIA NeMo Agent Toolkit: Making Agents Reliable
Build production-ready agents with observability, evaluation, and deployment best practices.
Building Coding Agents with Tool Execution
Create agents that write, execute, and debug code safely in isolated environments.
Semantic Caching for AI Agents
Improve agent performance and reduce costs by implementing semantic caching techniques.
Design, Develop, and Deploy Multi-Agent Systems with CrewAI
Build scalable multi-agent workflows with tools, memory, and guardrails for production use.
Agentic AI with Andrew Ng
Learn core agentic AI patterns for autonomous, multi-step reasoning systems.
Governing AI Agents
Apply governance, security, risk management, and observability across the AI agent lifecycle.
ACP: Agent Communication Protocol
Standardize agent-to-agent communication across frameworks using ACP.
Agentic Knowledge Graph Construction
Automate knowledge graph creation using collaborative, schema-aware agents.