Agentic AI Developer
About Course
Agentic AI Developer
Certificate 2 — Batch 4 — Build autonomous AI agents that think, plan, and act.
11-Chapter Curriculum
Ch 1: AI Agent Factory Paradigm
What agents are, how they differ from chatbots, and the factory mindset for building them at scale.
Ch 2: Markdown for Agent Instructions
Write structured, clear instructions agents can follow. Markdown as the universal agent language.
Ch 3: General Agents (Claude Code)
Hands-on with Claude Code as a general-purpose coding agent. Real-world agentic workflows.
Ch 4: Context Engineering
Design what agents know. Memory, retrieval, context windows, and information architecture for agents.
Ch 5: Spec-Driven Development
Write specifications that drive agent behavior. From product spec to working agent.
Ch 6: Agent Problem Solving
Debugging agents, handling failures, fallback strategies, and building resilient agent systems.
Ch 7: File Organization & Automation
Agents that manage files, automate document workflows, and handle data pipelines.
Ch 8: Research Synthesis
Build agents that research, summarize, and synthesize information from multiple sources.
Ch 9: Data Analysis & Version Mgmt
Agents for data analysis, version control, and managing evolving datasets.
Ch 10: Safety, Ethics & Observability
Agent guardrails, ethical considerations, LangFuse observability, and production monitoring.
Ch 11: Capstone — Your AI Employee
Build and deploy a full AI employee agent. End-to-end project with real-world deployment.