AI Agents, Tools & Agentic Design Patterns – Advanced Handwritten Notes
Master AI Agents, Tool Calling and Agentic Design Patterns through structured handwritten notes. Learn ReAct, planning, multi-agent systems, MCP, memory, guardrails and production reliability. Designed for AI Engineers, LLM Developers and Generative AI learners.
What you will learn
- ✓Understand AI agent fundamentals, architecture and execution cycles.
- ✓Differentiate LLMs, workflows and autonomous AI agents.
- ✓Understand tool calling, function execution and external API integration.
- ✓Design tool schemas, validation, error handling and permissions.
- ✓Apply ReAct reasoning and acting patterns.
- ✓Learn agent planning, task decomposition and execution.
- ✓Understand prompt chaining, routing, parallelization and orchestrator-worker patterns.
- ✓Explore reflection, evaluator-optimizer, generator-critic and handoff patterns.
- ✓Understand agent memory, context engineering and retrieval.
- ✓Learn multi-agent collaboration, communication and coordination.
- ✓Understand human-in-the-loop approval and safety guardrails.
- ✓Explore Model Context Protocol (MCP) and agent integrations.
- ✓Evaluate agents using accuracy, task success, latency and cost metrics.
- ✓Apply security, observability, reliability and production monitoring.
- ✓Revise AI agent architecture and agentic design patterns for interviews.
AI Agents, Tools & Agentic Design Patterns – Advanced Handwritten Notes — free preview (first 5 pages)
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Licence
No account needed · Manual UPI payment · PDF emailed after verification
Details
- Pages
- 15
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- Subject
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- Format
- PDF (watermarked)
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