Are your GenAI agents ready for real production workloads—or still stuck as clever demos?
In the early days of GenAI, single-shot prompts and simple assistants were enough. Today, differentiated experiences are powered by agents that can coordinate tools, memory, and workflows reliably under production load and complexity.
To win, your teams will need to master agent concepts, architectures, and data strategies as a core part of building high-quality, high-value GenAI solutions.
The Challenge
Most organizations are experimenting with agents, but struggle to move beyond prototypes. Teams often:
- Ship fragile agents that loop, stall, or quietly fail when key data is missing or tools fail to perform as expected.
- Rely on ad hoc state and memory patterns that are hard to debug, govern, or scale.
- Stitch together orchestration frameworks, tools, and data sources without clear architectural patterns.
Without a disciplined foundation in agent concepts, architecture, and data strategy, it's nearly impossible to deliver agentic experiences that stakeholders trust and are willing to scale.
Our Solution
The GenAI Agents Foundations Certification series focuses on mastering foundational agent concepts, architectures, and production patterns. Participants will:
- Explore core agent building blocks through curated notebooks that surface real failure modes, tradeoffs, and debugging techniques.
- Design and implement production-minded orchestration patterns for tools, state, memory, and grounded context.
- Apply these patterns in a structured capstone to assemble an end-to-end agent workflow in an IDE with expert feedback and coaching.
The Agents Foundations Certification builds on our GenAI Tools Foundations series and prepares teams to design, ship, and scale real-world agent solutions.
Area of Focus
- Core Concepts & Capabilities of AI Agents — Establish shared language and patterns for tools, memory, and ReAct-style execution loops.
- Advanced Concepts of AI Agents — Scale agents with parallel LangGraph branches, modular sub-graphs, and structured memory.
- Selecting Your Agent Architecture — Compare orchestration frameworks, design communication protocols, and add observability. •
- Curating Your Agent Data — Design ingestion, indexing, and context strategies that keep agents grounded, efficient, and governable.
Skills You'll Gain
- End-to-End Agent Design - Connect tools, memory, orchestration, and data curation into cohesive agent workflows.
- Scalable Agent Architectures - Move from toy examples to parallel, modular graphs that handle real production workloads.
- Memory & Data Strategy - Implement short-term, long-term, and user-specific memory grounded in curated context.
- Reliability & Observability - Instrument agents with tracing, metrics, and test harnesses for faster debugging and tuning.
- Faster Path to Production - Reuse patterns to ship trustworthy agentic experiences with less trial and error.
Who Should Attend:
Explore our Agent Foundation Certification Workshops
Help your teams responsibly adopt and scale Agentic AI. Click below to explore each workshop in the Agents Foundations certification series—and build the applied expertise your teams need to master foundational Agentic AI methods.
Core Concepts & Capabilities of AI Agents
Advanced Concepts of AI Agents
Selecting Your Agent Architecture
Curating Your Agent Data