Google Cloud Workshop: Generative AI in Production
Join us at WideOps Ltd Authorized Trainers (Google Authorized Training Program) for the Generative AI in Production course—a complete learning experience with hands-on labs designed to sharpen your practical skills. Led by our Google Cloud superstars, this course is your gateway to mastering the operationalization of AI and unlocking its transformative potential in your organization.
📅 February 24th, 2026
⏱ Training + Hands-on session 9:00-16:00
📍Google TLV – Yigal Alon St 98, Tel Aviv-Yafo – 12 – Milk
🗣 In Hebrew
💻 Laptops are required
Overview:
This advanced, hands-on course is designed for developers and machine learning engineers who wish to operationalize Generative AI-based applications. Participants will explore the challenges of productionizing Gen AI versus traditional ML, learn how to manage experimentation and tuning of LLMs, and discuss best practices for deploying, testing, and maintaining LLM-powered applications in real-world environments.
What you’ll learn:
• Describe the challenges in productionizing applications using generative AI.
• Manage experimentation and evaluation for LLM-powered applications.
• Productionize LLM-powered applications.
• Implement logging and monitoring for LLM-powered applications.
Key Modules:
Introduction to Generative AI in Production Understand the shift from traditional MLOps to GenAIOps. Analyze the core components of an LLM system and explore the “Coffee on Wheels” AI system demo.
Managing Experimentation Experiment with datasets and advanced prompt engineering. Utilize RAG and ReACT architectures and implement frameworks for tracking experiments and evaluating LLM models.
Lab: Unit Testing Generative AI Applications
Productionizing Generative AI Focus on the operational side: deployment, packaging, and versioning. Learn to test LLM systems through unit and integration tests, manage updates, and ensure prompt security.
Lab: Vertex AI Pipelines: Qwik Start
Lab: Safeguarding with Vertex AI Gemini API
Logging and Monitoring for Production Utilize Cloud Logging to maintain system health. Learn to monitor for evaluation-serving skew and implement continuous validation to ensure prompts generalize effectively over time.
Lab: Vertex AI: Gemini Evaluations Playbook
Training Approach:
Hands-On Labs: Includes 6 specialized labs using Vertex AI and Gemini to reinforce learning through technical practice.
Advanced Focus: Designed for technical professionals, moving beyond basic prompts to full-scale production lifecycles.
Operational Excellence: Emphasis is placed on GenAIOps, versioning, and long-term maintenance of AI systems.
Tool Proficiency: Learners gain direct experience with Vertex AI (Studio, Pipelines, Evaluation), Gemini API, and Cloud Logging.
