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Updated in [May 19th, 2023]
This course, Baseline: Data ML AI, provides an introduction to big data, machine learning, and artificial intelligence. It is designed to give users a basic understanding of the tools available on Google Cloud, such as Big Query, Cloud Speech API, and AI Platform. The course also includes 1-minute videos to help users understand key concepts for each lab. By the end of the course, users will have a better understanding of the tools available on Google Cloud and how to use them.
[Applications]
After completing this course, users can apply the knowledge they have gained to create their own projects using Google Cloud's Big Query, Cloud Speech API, and AI Platform. They can also use the 1-minute videos to review key concepts and gain a better understanding of the topics. Additionally, users can explore more advanced topics in the fields of big data, machine learning, and artificial intelligence.
[Career Paths]
1. Data Scientist: Data Scientists are responsible for analyzing large datasets to uncover trends and insights. They use a variety of tools and techniques, such as machine learning, to develop predictive models and algorithms. Data Scientists are in high demand, and the demand is only increasing as more organizations recognize the value of data-driven decision making.
2. Machine Learning Engineer: Machine Learning Engineers are responsible for developing and deploying machine learning models. They use a variety of tools and techniques, such as deep learning, to create models that can be used to make predictions and automate tasks. Machine Learning Engineers are in high demand, and the demand is only increasing as more organizations recognize the value of automated decision making.
3. Artificial Intelligence Engineer: Artificial Intelligence Engineers are responsible for developing and deploying AI-based solutions. They use a variety of tools and techniques, such as natural language processing, to create AI-based systems that can be used to automate tasks and make decisions. Artificial Intelligence Engineers are in high demand, and the demand is only increasing as more organizations recognize the value of AI-based solutions.
4. Big Data Engineer: Big Data Engineers are responsible for managing and analyzing large datasets. They use a variety of tools and techniques, such as Hadoop, to process and analyze large datasets. Big Data Engineers are in high demand, and the demand is only increasing as more organizations recognize the value of data-driven decision making.
[Education Paths]
1. Bachelor's Degree in Data Science: A Bachelor's Degree in Data Science is a great way to get started in the field of big data, machine learning, and artificial intelligence. This degree program typically covers topics such as data analysis, data mining, machine learning, and artificial intelligence. It also provides students with the skills to develop and deploy data-driven solutions. As the demand for data-driven solutions continues to grow, so does the need for professionals with a Bachelor's Degree in Data Science.
2. Master's Degree in Artificial Intelligence: A Master's Degree in Artificial Intelligence is a great way to further your knowledge and skills in the field of AI. This degree program typically covers topics such as natural language processing, computer vision, robotics, and machine learning. It also provides students with the skills to develop and deploy AI-driven solutions. As the demand for AI-driven solutions continues to grow, so does the need for professionals with a Master's Degree in Artificial Intelligence.
3. Doctorate Degree in Machine Learning: A Doctorate Degree in Machine Learning is a great way to become an expert in the field of machine learning. This degree program typically covers topics such as deep learning, reinforcement learning, and natural language processing. It also provides students with the skills to develop and deploy machine learning-driven solutions. As the demand for machine learning-driven solutions continues to grow, so does the need for professionals with a Doctorate Degree in Machine Learning.
4. Certificate in Big Data: A Certificate in Big Data is a great way to get started in the field of big data. This certificate program typically covers topics such as data analysis, data mining, and data visualization. It also provides students with the skills to develop and deploy big data-driven solutions. As the demand for big data-driven solutions continues to grow, so does the need for professionals with a Certificate in Big Data.
Course Syllabus
AI Platform: Qwik Start
In this lab you train and deploy a TensorFlow model to AI Platform for serving (prediction). Watch these short videos Harness the Power of Machine Learning with AI Platform and AI Platform: Qwik Start - Qwiklabs Preview.Vertex AI: Qwik Start
In this lab, you will use BigQuery for data processing and exploratory data analysis, and the Vertex AI platform to train and deploy a custom TensorFlow Regressor model to predict customer lifetime value (CLV). The goal of the lab is to introduce to Vertex AI through a high value real world use case - predictive CLV. Starting with a local BigQuery and TensorFlow workflow, you will progress toward training and deploying your model in the cloud with Vertex AI.Dataprep: Qwik Start
Google Cloud Dataprep is an intelligent data service for visually exploring, cleaning, and preparing data for analysis. Watch the short video Dataprep: Qwik Start - Qwiklabs Preview.Dataflow: Qwik Start - Templates
This page shows you how to create a streaming pipeline using a Google-Provided Cloud Dataflow template.Dataflow: Qwik Start - Python
In this lab you will set up your Python development environment, get the Cloud Dataflow SDK for Python, and run an example pipeline using the Google Cloud Platform Console.Dataproc: Qwik Start - Console
This lab shows you how to create a Google Cloud Dataproc cluster, run a simple Apache Spark job in the cluster, then modify the number of workers in the cluster, all from the gcloud Command Line. Watch these short videos, Dataproc: Qwik Start - Qwiklabs Preview and Run Spark and Hadoop Faster with Cloud Dataproc.Dataproc: Qwik Start - Command Line
This lab shows you how to create a Google Cloud Dataproc cluster, run a simple Apache Spark job in the cluster, then modify the number of workers in the cluster, all from the gcloud Command Line. Watch these short videos, Dataproc: Qwik Start - Qwiklabs Preview and Run Spark and Hadoop Faster with Cloud Dataproc.Cloud Natural Language API: Qwik Start
The Cloud Natural Language API lets you extract entities and perform sentiment and syntactic analysis on text. Watch these short videos Gain Valuable Insights from Text with Cloud Natural Language and Cloud Natural Language: Qwik Start - Qwiklabs Preview.Google Cloud Speech API: Qwik Start
The Google Cloud Speech API integrates speech recognition into dev apps; you can now send audio/receive a text transcription. Watch these short videos Powerful Speech Recognition Using Google Machine Learning and Google Cloud Speech: Qwik Start - Qwiklabs PreviewVideo Intelligence: Qwik Start
In this lab use the Google Cloud Video intelligence app to extract metadata from a sample video file. Watch the short video Google Cloud Video Intelligence - Search every moment of every video in your catalog.Reinforcement Learning: Qwik Start
In this lab, you will learn and get hands-on practice with the fundamental concepts of Reinforcement Learning.
