Building Agentic Workflows
Concept & Motivation
Understanding agentic AI is necessary. Building with it is where the value is created.
This course takes you from concept to working prototype. You’ll design agent workflows that fit real business processes, choose the right frameworks and tools, handle the messy reality of tool integration, and deploy agents that actually run in your environment.
The focus is practical: less theory, more building. Every concept is immediately applied.
What You’ll Learn
- The agentic loop in practice — designing observe-plan-act-reflect cycles for specific business tasks. When to add reflection steps, when to skip them
- Framework selection — hands-on with Claude Code (agentic coding), n8n (visual workflow builder), and AgentForge (custom deployment). When each fits, and how to combine them
- Tool design for agents — writing tool descriptions that agents can reliably use. The difference between a tool that works in demos and one that works in production
- Multi-agent orchestration — when one agent isn’t enough. Patterns for supervisor-worker, pipeline, and debate architectures. Coordination, handoffs, and error recovery
- Memory and context management — short-term (conversation), medium-term (session), and long-term (knowledge base) memory. How to give agents the context they need without drowning them
- Human-in-the-loop patterns — approval gates, escalation triggers, confidence thresholds. Designing workflows where humans intervene at the right moments
- Integration patterns — connecting agents to databases, APIs, file systems, email, Slack, CRMs. The plumbing that makes agents useful
- Testing and validation — how to test agent behavior when outputs aren’t deterministic. Evaluation frameworks, regression testing, and quality metrics
Who This Is For
- Technical leads and architects designing agentic AI systems for their organizations
- Developers and engineers building their first agent-based applications
- Operations and process managers who want to automate complex workflows with AI
- Graduates of Agentic AI Foundations (c-agent-1) who want to move from understanding to building
Basic familiarity with APIs or programming concepts is helpful but not required.
Format & Duration
2-day workshop (on-site). Day 1: framework deep-dives, tool integration, and pattern selection with guided exercises. Day 2: build workshop — each participant designs and prototypes an agent workflow for a real use case from their organization.
What Makes This Course Different
Most agent-building courses are either toy demos (“make an agent that searches the web”) or deep-dive developer tutorials that assume months of ML experience. This course is for the people in between: technically curious professionals who need to build real solutions, not publish research papers.
You work with production-grade tools, not playground APIs. The patterns come from real deployments. And you leave with something that runs — not just a diagram.