What are 10 AI free courses introduced by Google?

What are 10 AI free courses introduced by Google?

Moreover, Google has introduced several free AI courses through its educational platforms like Google AI and Google Cloud. These courses are designed to provide comprehensive training in various aspects of AI, machine learning, and data science. This article explores the 10 AI free courses introduced by Google.

Machine Learning Crash Course with TensorFlow APIs
10 AI free courses introduced by Google
10 AI free courses introduced by Google

Overview

This course provides a fast-paced introduction to machine learning (ML) using TensorFlow, Google’s open-source machine learning framework.

Key Topics

ML Concepts: Basic ML concepts including supervised learning and unsupervised learning.

TensorFlow: Hands-on exercises with TensorFlow.

Model Training and Evaluation: Techniques to train and evaluate models.

Course Length
15 hours

click here for Course: https://developers.google.com/machine-learning/crash-course

Deep Learning Specialization

Overview

Aimed at those with some prior knowledge of machine learning, this course dives deep into neural networks and deep learning.

Key Topics

Neural Networks: Understanding and implementing neural networks.

Hyperparameter Tuning: Techniques for optimizing model performance.

Deep Learning Applications: Applications in computer vision, natural language processing, etc.

Course Length
20 hours

Click Here For Course:https://www.coursera.org/specializations/deep-learning

Data Science and Machine Learning on Google Cloud Platform
10 AI free courses introduced by Google
10 AI free courses introduced by Google
Overview

This course is designed for data scientists and machine learning engineers who want to use Google Cloud Platform (GCP).

Key Topics

Google Cloud Basics: Introduction to Google Cloud services.

BigQuery: Using BigQuery for data analysis.

ML with TensorFlow on GCP: Implementing ML models on Google Cloud.

Course Length
25 hours

Click Here For Course:https://cloud.google.com/data-science

Intro to TensorFlow for Deep Learning

Overview
Focused on TensorFlow, this course helps beginners get started with deep learning.

Key Topics

TensorFlow Basics: Understanding TensorFlow operations and graph structures.

Building Models: Creating and training neural network models.

Deployment: Deploying models in production environments.

Course Length
15 hours

Click Here For Course:https://www.udacity.com/course/intro-to-tensorflow-for-deep-learning–ud187

AI for Everyone
Overview

This course aims to demystify AI for a non-technical audience, explaining what AI can and cannot do.

Key Topics

AI Concepts: Basic principles and applications of AI.

Ethical Considerations: Ethical issues surrounding AI.

Future of AI: The impact of AI on various industries.

Course Length
6 hours

Click Here For Course: https://www.deeplearning.ai/courses/ai-for-everyone/

Google Cloud Platform Big Data and Machine Learning Fundamentals

Overview

Furthermore, the course serves as an introductory course on GCP’s big data and machine learning capabilities.

Key Topics

GCP Services: Moreover, the courses offer an overview of GCP services for data processing.

Machine Learning: Furthermore, the courses provide an introduction to building ML models on GCP.

Data Pipelines: Additionally, the courses cover creating and managing data pipelines.

Course Length
10 hours

Click Here For Course:https://www.coursera.org/learn/gcp-big-data-ml-fundamentals

Advanced Machine Learning with TensorFlow on Google Cloud Platform

Overview

Moreover, for those who already have a grounding in ML, this course explores advanced topics in machine learning with TensorFlow on GCP.

Key Topics

Advanced TensorFlow: Furthermore, the course delves into using TensorFlow for complex ML tasks.

Distributed Training: Additionally, the course explores techniques for distributed model training.

AutoML: Moreover, the course covers utilizing AutoML for automated model generation.

Course Length
25 hours

Click Here For Course: https://cloud.google.com/blog/topics/training-certifications/now-on-coursera-advanced-machine-learning-with-tensorflow-on-google-cloud-platform

Practical Machine Learning with TensorFlow
10 AI free courses introduced by Google
10 AI free courses introduced by Google

Overview

Furthermore, the course provides a practical guide to implementing ML solutions using TensorFlow.

Key Topics

Model Deployment: Moreover, the course includes techniques for deploying models in production.

TensorFlow Serving: Additionally, the course covers using TensorFlow Serving for model serving.

Real-World Examples: Furthermore, the course includes case studies and real-world applications.

Course Length
20 hours

Click Here For Course: https://www.tensorflow.org/resources/learn-ml

Data Engineering on Google Cloud Platform

Overview

Moreover, the course focuses on data engineering principles and practices on GCP.

Key Topics

Data Storage: In addition, the course covers managing data storage solutions.

ETL Pipelines: Furthermore, the course includes building Extract, Transform, Load (ETL) pipelines.

Data Processing: Additionally, the course covers using tools like Dataflow and Pub/Sub for data processing.

Course Length
15 hours

Click Here For Course:https://cloud.google.com/learn/training/data-engineering-and-analytics

Machine Learning with TensorFlow on Google Cloud Specialization

Overview

Moreover, it offers a comprehensive specialization series focused on ML using TensorFlow on GCP.

Key Topics
Specialization Courses: Additionally, the specialization includes multiple courses covering different aspects of ML.
End-to-End ML: The courses guide learners through every step, from data ingestion to model deployment.

Real-World Projects: Moreover, the courses include hands-on projects to effectively apply the learned concepts.

Course Length
40 hours

Click Here For Course:https://developers.google.com/machine-learning/crash-course/first-steps-with-tensorflow/toolkit

Conclusion

Moreover Google’s free AI courses cater to a broad audience, ranging from beginners to advanced practitioners. Specifically, these courses cover essential topics in machine learning, data science, and cloud computing, leveraging Google’s robust technologies like TensorFlow and GCP. Furthermore, by offering hands-on experience and real-world applications, these courses help learners build practical skills for AI and ML careers.

AI-powered social media moderation

1 thought on “What are 10 AI free courses introduced by Google?”

Leave a Comment