Incorporating machine learning into data pipelines increases the ability to extract insights from data. This course covers ways machine learning can be included in data pipelines on Google Cloud. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces Notebooks and BigQuery machine learning (BigQuery ML). Also, this course covers how to productionalize machine learning solutions by using Vertex AI.

We can organize this training at your preferred date and location. Contact Us!

Training Outline

Introduction to Analytics and AI

This modules talks about ML options on Google Cloud

Module introduction
What is AI?
From ad-hoc data analysis to data-driven decisions
Options for ML models on Google Cloud
QUIZ

Prebuilt ML Model APIs for Unstructured Data

This module focuses on using pre-built ML APIs on your unstructured data

Module introduction
Unstructured data is hard
ML APIs for enriching data
Lab Intro: Using the Natural Language API to Classify Unstructured Text
required
LAB: Using the Natural Language API to classify unstructured text: In this lab you’ll learn how to classify text into categories using the Natural Language API
QUIZ

Big Data Analytics with Notebooks

This module covers how to use Notebooks

Module introduction
What’s a Notebook?
BigQuery magic and ties to Pandas
Lab Intro: BigQuery in JupyterLab on Vertex AI
LAB: BigQuery in JupyterLab on Vertex AI 2.5: The purpose of this lab is to show learners how to instantiate a Jupyter notebook running on Google Cloud Platform's AI Platform service.
QUIZ

Production ML Pipelines

This module covers building custom ML models and introduces Vertex AI and TensorFlow Hub

Module introduction
Ways to do ML on Google Cloud
Vertex AI Pipelines
TensorFlow Hub
Lab Intro: Running Pipelines on Vertex AI
LAB: Running Pipelines on Vertex AI 2.5: In this lab, you learn how to utilize Vertex AI Pipelines to execute a simple Kubeflow Pipeline SDK derived ML Pipeline.
Summary
QUIZ

Custom Model Building with SQL in BigQuery ML

This module covers BigQuery ML

Module introduction
BigQuery ML for Quick Model Building
Supported models
Lab Intro: Predict Bike Trip Duration with a Regression Model in BigQuery ML 1 minute
LAB: Predict Bike Trip Duration with a Regression Model in BQML 2.5: In this lab you will use the London bicycles dataset to build a regression model in BQML to predict trip duration.
Lab Intro: Movie Recommendations in BigQuery ML
LAB: Movie Recommendations in BigQuery ML 2.5: In this lab you'll use the MovieLens dataset to build a collaborative filtering model and use it to make predictions.
Summary
QUIZ

Custom Model Building with AutoML

Module introduction
Why AutoML?
AutoML Vision
AutoML Natural Language Processing
AutoML Tables
Summary
QUIZ

Why Choose Us

Experience live, interactive learning from the comfort of your home or office with Bilginç IT Academy's Online Instructor-Led Smart Analytics, Machine Learning, and AI on Google Cloud Training in Greece. Engage directly with expert trainers in a virtual environment that mirrors the energy and schedule of a physical classroom.

Live Sessions: Join scheduled classes with a live instructor and other delegates in real-time.
Interactive Experience: Engage in group activities, hands-on labs, and direct Q&A sessions with your trainer and peers.
Global Expert Trainers: Learn from a handpicked global pool of expert trainers with deep industry experience.
Proven Expertise: Benefit from over 30 years of quality training experience, equipping you with lasting skills for success.
Scalable Delivery: Accessible worldwide, including Greece, with flexible scheduling to meet your professional needs.

Immerse yourself in our most sought-after learning style for Smart Analytics, Machine Learning, and AI on Google Cloud Training in Greece. Our hand-picked classroom venues in Greece offer an invaluable human touch, providing a focused and interactive environment for professional growth.

Highly Experienced Trainers: Boost your skills with trainers boasting 10-20+ years of real-world experience.
State-of-the-Art Venues: Learn in high-standard facilities designed to ensure a comfortable and distraction-free experience.
Small Class Sizes: Our limited class sizes foster meaningful discussions and a personalized learning journey.
Best Value: Achieve your certification with high-quality training and competitive pricing.

Streamline your organization's training requirements with Bilginç IT Academy’s Onsite Smart Analytics, Machine Learning, and AI on Google Cloud Training in Greece. Experience expert-led learning at your own business premises, tailored to your corporate goals.

Tailored Learning Experience: Customize the training content to fit your unique business projects or specific technical needs.
Maximize Training Budget: Eliminate travel and accommodation costs, focusing your entire budget on the training itself.
Team Building Opportunity: Enhance team bonding and collaboration through shared learning experiences in your workspace.
Progress Monitoring: Track and evaluate your employees' progression and performance with relative ease and direct oversight.

Why have you chosen us?

I have attended a training from Bilginc IT Academy before and I was satisfied.

I have attended a training from a different provider and it was not helpful.

Other

How many employees do you have in your IT department?

0 – 50

50 – 250

250 – 1000

1000+

Smart Analytics, Machine Learning, and AI on Google Cloud Training in Greece

Training Outline

Why Choose Us

Online Instructor-Led Training (VILT)

Classroom Based Learning

Onsite / In-House Learning

Smart Analytics, Machine Learning, and AI on Google Cloud Training Course in Greece Schedule