Are your GenAI pipelines actually turning powerful tools into reliable, production-ready workflows?
As you move from single tool calls to multi-step, stateful pipelines, orchestration, error handling, and cross-modal coordination quickly become the difference between fragile demos and real products.
To win, your GenAI solutions need tool chains and pipelines that are reliable, stateful, and easy to extend.
The Challenge
Without a strong approach to tool chaining and pipelines, teams struggle to:
- Manage pipeline complexity — Ad hoc chains and scattered logic make multi-step workflows hard to debug, govern, and refactor.
- Handle state and failures cleanly — Inconsistent patterns for passing state and handling errors lead to brittle, unpredictable behavior.
- Scale cross-modal experiences — Pipelines that touch text, images, and structured data become difficult to extend across tools, data sources, and teams.
Pipeline gaps will slow feature delivery, increase runtime failures, and erode confidence in your GenAI solutions.
Our Solution
In this hands-on workshop, your team designs, builds, and validates foundational multi-step tool pipelines using curated notebooks and starter projects. Areas of focus include:
- Sequential Tool Chains — Design multi-step flows with shared state and robust error handling.
- State & Error Handling Patterns — Apply reusable patterns for retries, fallbacks, and safe recovery from failures.
- Conditional Branching & Routing — Implement decision points and dynamic paths that keep complex flows maintainable.
- Cross-Modal Chaining — Coordinate text, images, and structured data in a single, coherent user experience.
- Interactive Labs, Capstone & Coaching — Practice in guided labs, build an end-to-end pipeline, and refine designs with expert feedback
Skills You'll Gain
- Pipeline Reliability — Build and validate tool chains that handle errors, edge cases, and degraded modes gracefully.
- Reusable Orchestration Patterns — Standardize state management, branching, and error handling across teams and projects.
- Faster Feature Delivery — Use composable pipeline building blocks to ship new flows without reinventing core logic.
- Higher-Quality User Experiences — Deliver more consistent responses as requests move across multiple tools and data types.
- Foundation for Advanced Orchestration — Establish patterns that make it easier to adopt future agentic and workflow-level automation.
Who Should Attend:
Solution Essentials
Format
Virtual or in-person
Duration
4 Hours
Skill Level
Comfortable with basic Python and APIs
Tools
Jupyter or similar notebooks plus a tool calling framework (for example, SDKs supporting functions and tools)
Explore the Remaining GenAI Tools Foundations Certification Workshops
Help your teams responsibly adopt and scale GenAI Tool Usage. Click below to explore the remaining workshops in the GenAI Tools Foundations certification series.
Tool Selection & Integration
Data Handling, Validation & Security