Agentic AI: A Hands-On Workshop From Google
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Sat, Feb 28, 2026
10 AM – 4 PM EST (GMT-5)
Private Location (register to display)
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Details
Workshop Outcomes:
- Advanced AI Understanding: Master the latest developments in agentic and generative AI, including reasoning models, agentic models, and multi-agent orchestration through live demonstrations and hands-on experience.
- Practical Agent Development: Gain direct experience building and implementing agentic systems through an extensive hands-on workshop, learning essential patterns and real-world applications.
- Direct Expert Access: Engage with Google professionals throughout the workshop, providing unique opportunities for specific guidance and insights.
- Comprehensive Learning Experience: Participate in a well-structured program that progresses from foundational GenAI concepts through advanced topics like embodied intelligence, culminating in open discussions that address your specific implementation questions.
Agenda
- 10 - 10:45 am: Generative AI Overview
- Evolution of Transformers over time (Encoder & Decoder -> Decoder only)
- Expansion of Generative AI to new modalities: video (Veo), Music (Lyria),
- High-level overview of emerging research areas: test-time learning, RL post training, linear attenion layers, and more
- 10:45 - 11:30 am Hands on Session: Making a short film!
- Using Flow, Veo, Nano Banana, and other Generative AI tools to make an Ad (we'll look at free credit tier)
- 11:30 am - 12:15 pm Theory Session: Agents
- So what? Aren't agents just a prompt + tools + LLM?
- The role of MCP / A2A and other protocols
- What does an "agent stack" look like?
- GCP specific agent services
- 12:15 pm - 1 pm Lunch
- 1:00 PM - 1:45 PM: Hands-on Session: Intro to Agents!
- Build your first agents in cloud environment
- Agent orchestrator (ADK), tools, deployment
- 1:45 pm - 2:15 pm Theory Session: Agents 102
- Dealing with LLM context limitations with memory
- Testing agentic systems
- Evaluation patterns (offline & online)
- 2:15 pm - 3:00 pm Hands on Session: Build more complex agents
- Multi-agents (e.g. a portfolio analyzer)
- Memory
- Evals
- Data with MCP
- 3 - 3:30 pm: The Frontier!
- World models! Genie 3, Waymo Simulator, etc. A multi-modal future
- Unsolved problems:
- giving LLMs "memory" beyond weight matrices
- Hallucinations & LLM confidence
Food Provided