Agentic AI 2026
Google Cloud
📌About the Challenge
Agentic AI 2026 is an upcoming, immersive enterprise training program curated by Google Cloud experts and industry leaders. This technical masterclass series is specifically engineered to shift generative AI beyond turn-based novelty chatbots into the realm of autonomous execution and production-ready multimodal agents.
The entire curriculum is anchored around building a unified, live “hero” product application an autonomous customer intelligence and productivity platform. Developers and tech leaders will learn to architect compounding AI workflows that transition seamlessly from initial prototypes built in Google AI Studio to highly secure, scale ready deployments on Google Cloud.
📅 Event Details & Global Schedule
- Program Timeline: June 9, 2026 – June 18, 2026
- Format: 100% Online, live global training series.
- Target Audience: Founders, CxOs, Product Leaders, Startup Developers, and Data Engineers.
The program runs duplicate live broadcasts to comfortably accommodate multiple global time zones. You can attend whichever option aligns best with your schedule:
🌍 Time Zone Cohort Options
- Option A: AMER / EMEA Friendly – 5:00 PM GMT+1 / 9:00 AM PDT / 12:00 PM EDT (9:30 PM – 11:00 PM IST)
- Option B: EMEA / APAC Friendly – 9:00 AM GMT+1 / 1:30 PM IST / 4:00 PM SGT / 5:00 PM KST/JST
📚 Week 1 Core Curriculum
The initial phase of the school addresses the foundational pillars of agent architecture, moving from ultra-low latency voice design to complex multi-format data indexing.
🎙️ Session 1: The Art of the Possible – Intro to Realtime Agentic AI
- 📅 Date: June 9, 2026
- 🚀 Technical Focus: Moving from slow, turn-based text UI to real-time agentic workflows. Participants will explore the multimodal capabilities of the Gemini Live API to master prompt design for interruptible, natural “barge-in” vocal interactions.
- 🔧 Implementation Layer: Transitioning simple “vibe coding” prototypes into stateful, secure applications utilizing Firebase Auth and Firestore for production-grade persistent data layers.
- 🛡️ Key Competencies: Crafting rigid system instructions, deploying built-in Google Search Grounding layers to neutralize hallucination risks, and mapping conversational states.
🗂️ Session 2: Multimodal RAG – Grounding Conversational AI in Complex Data
- 📅 Date: June 11, 2026
- 🚀 Technical Focus: Solving the latency and token overhead bottlenecks associated with grounding real-time voice agents in enterprise data ecosystems.
- 🔧 Implementation Layer: Building an advanced Retrieval-Augmented Generation (RAG) architecture that maps divergent files PDFs, audio logs, imagery, and text transcripts into a singular, shared semantic vector network using the Gemini Embeddings 2 engine.
- 🛡️ Key Competencies: Deploying the Gemini Context Caching API (Explicit vs. Implicit execution) to keep inference latency low and token costs minimized, structuring robust Hybrid Search patterns, and interfacing RAG data layers with active live agents.
🧰 Sovereign Product Matrix Covered
The technical sandbox utilizes the latest 2026 developer components natively hosted across Google and Firebase clouds:
- Inference Models: Gemini 3.5 Flash, Gemini 3.1 Flash-Lite, and Gemini 3.1 Flash Live Preview.
- Data Integration & Vector Routing: Gemini Embeddings 2 model, Gemini Context Caching API, and Gemini Enterprise Vector Search.
- Application Frameworks: Google AI Studio Playground/Builder and Firebase Ecosystem (Firestore & Authentication).