Generative AI in Production Training

Live Online & Classroom Enterprise Certification Training

Explore how to take generative AI applications into production—focusing on the unique challenges of deploying, monitoring and managing large language models (LLMs) compared to traditional ML. Learn experimentation best-practices, packaging, versioning, deployment, testing, logging, monitoring, and ongoing maintenance for GenAI systems.

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What is Generative AI in Production Certification Training about?

In this course, you learn about the different challenges that arise when productionizing generative AI-powered applications versus traditional ML. You will learn how to manage experimentation and tuning of your LLMs, then you will discuss how to deploy, test, and maintain your LLM-powered applications. Finally, you will discuss best practices for logging and monitoring your LLM-powered applications in production.

What are the objectives of Generative AI in Production Certification Training ?

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.

Who is Generative AI in Production Certification Training for?

Developers and machine learning engineers who wish to operationalize Gen AI-based applications

What are the prerequisites for Generative AI in Production Certification Training?

Completion of "Introduction to Developer Efficiency on Google Cloud" or equivalent knowledge.

Available Training Modes

Live Online Training

1 Days

Course Outline Expand All

Expand All

Module 1: Introduction to Generative AI in Production

• AI System Demo: Coffee on Wheels

• Traditional MLOps vs. GenAIOps

• Generative AI Operations

• Components of an LLM System

Module 2: Managing Experimentation

• Datasets and Prompt Engineering

• RAG and ReACT Architecture

• LLM Model Evaluation (metrics and framework)

• Tracking Experiments

Module 3: Productionizing Generative AI

• Deployment, packaging, and versioning (GenAIOps)

• Testing LLM systems (unit and integration)

• Maintenance and updates (operations)

• Prompt security and migration

Module 4: Logging and Monitoring for Production LLM Systems

• Cloud Logging

• Prompt versioning, evaluation, and generalization

• Monitoring for evaluation-serving skew

• Continuous validation

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Who is the instructor for this training?

The trainer for this Generative AI in Production Training has extensive experience in this domain, including years of experience training & mentoring professionals.

Generative AI in Production Certification Training - Certification & Exam

SpringPeople is the Authorized Training Partner of Google Cloud Platform.
The training fees is exclusive of exam cost.
For any queries; feel free to reach us at GCP@springpeople.com

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