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AI Agents
Build autonomous AI agents that can perceive, reason, plan, and act independently to accomplish complex tasks.
8 weeks
10 Modules
Certificate Included
Learning Outcomes
What You'll Learn
By the end of this course, you'll be able to:
Design AI agent architectures
Implement agent reasoning systems
Build tool-using agents
Create multi-agent systems
Handle agent failures gracefully
Deploy agents to production
Curriculum
Course Modules
A comprehensive curriculum designed for practical application.
1
AI Agent Fundamentals
- What are AI agents?
- Agent architectures
- Perception-action loops
- Agent vs assistants
2
Agent Reasoning
- Planning algorithms
- Goal decomposition
- Replanning
- Tree of thoughts
3
Memory Systems
- Short-term memory
- Long-term memory
- Vector memory
- Experience replay
4
Tool Use
- Function calling
- API integration
- Custom tools
- Tool selection strategies
5
Multi-Modal Agents
- Vision for agents
- Audio processing
- Combined modalities
- Perception pipelines
6
Multi-Agent Systems
- Agent communication
- Collaboration patterns
- Competition
- Swarm intelligence
7
Safety and Control
- Guardrails
- Human oversight
- Fallback mechanisms
- Audit logging
8
Agent Frameworks
- LangChain agents
- AutoGPT patterns
- Custom frameworks
- Framework comparison
9
Evaluation
- Agent benchmarks
- Task completion metrics
- Safety evaluation
- Human preference
10
Production Agents
- Deployment patterns
- Scaling
- Monitoring
- Continuous learning
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