CNTXT – Robotics Page

What is in it for you?

• Learn from GCP Certified in-house experts
• Live Q&A Session
• Receive a Participation Certificate
• Delivery Mode : Instructor Led 
• Language : English

This course delves into the Google Cloud ecosystem, focusing on the tools and services that facilitate the entire data-to-AI journey. We’ll examine the processes, challenges, and advantages of constructing a robust big data pipeline and developing machine learning models using Vertex AI.

Objectives:

• Understand the Google Cloud landscape: Grasp the core products and services involved in the data-to-AI lifecycle.
• Master streaming pipelines: Design and implement efficient streaming pipelines using Dataflow and Pub/Sub.
• Harness the power of BigQuery: Analyze large-scale datasets with BigQuery’s scalable and efficient capabilities.
• Explore machine learning options: Identify the best-suited tools and techniques for building machine learning solutions on Google Cloud.
• Navigate the machine learning workflow: Understand the essential steps involved in creating and deploying machine learning models with Vertex AI.
• Leverage AutoML: Explore how to streamline the machine learning process using AutoML.

Who Can Attend : 

• Data analysts, data scientists, and business analysts new to Google Cloud
• Professionals tasked with designing data processing pipelines, creating and maintaining machine learning models, and generating data-driven insights
• Executives and IT decision-makers evaluating Google Cloud for data science initiatives

Speaker –  Wruthuraj Bhunde ( Google Cloud Authorized Trainer )