AI Agents

AI Agents

Design and build autonomous AI agents. Tool use, planning, memory, multi-agent systems, evaluation, and production deployment patterns.

FundamentalsTopics 1–10
  • ·What are AI Agents
  • ·Agent vs Chatbot
  • ·The Agent Loop
  • ·Tools & Function Calling
  • ·Planning & Decomposition
  • ·Memory Types
  • ·Tool Use Patterns
  • ·Multi-Agent Systems
  • ·ReAct Framework
  • ·Evaluation & Testing
Start Fundamentals
IntermediateTopics 1–10
  • ·Tool Design Patterns
  • ·State Management
  • ·Agent Memory with Vector Stores
  • ·Structured Outputs
  • ·Parallel Tool Execution
  • ·Error Handling & Retries
  • ·Human-in-the-Loop
  • ·Agent Chains & Handoffs
  • ·Context Window Management
  • ·Observability & Tracing
Start Intermediate
AdvancedTopics 1–10
  • ·Multi-Agent Orchestration
  • ·Supervisor Patterns
  • ·Agent Communication Protocols
  • ·Long-Running Workflows
  • ·Subgraph Architectures
  • ·Reflection & Self-Critique
  • ·Agent Security & Prompt Injection
  • ·Benchmarking Agents
  • ·Planning Algorithms
  • ·Production-Grade Agent Design
Start Advanced
ProductionTopics 1–10
  • ·Deploying Agents at Scale
  • ·Cost & Latency Optimisation
  • ·Rate Limiting & Quotas
  • ·Monitoring Agent Runs
  • ·Failure Recovery
  • ·Guardrails & Content Safety
  • ·A/B Testing Agents
  • ·Multi-Tenant Agent Systems
  • ·CI/CD for Agents
  • ·On-Call Runbooks
Start Production