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Idan Gabrieli
Experienced tech professional
32,320
Learners
6
Courses
66
Rates
IT
Teaching on Alison since Aug 2021
Since 2011, Idan Gabrieli (B.Sc. and MBA) has been working in various engineering positions at the heart of Israel's high-tech industry, also called the start-up nation. Through his career, Idan has gained extensive experience working with hundreds of business companies, helping them transform challenges and opportunities into practical use cases while leveraging cutting-edge technologies.

Idan has comprehensive knowledge that spans multiple domains, including cloud computing, machine learning, data science, electronics, and more. In 2014, he started to create and publish online courses on various topics while teaching thousands of students worldwide. In 2021 and 2022, Idan was recognised as a top-seller and highly-rated instructor by multiple leading e...
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Cloud Computing for Absolute Beginners - IaaS
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Free Online Courses by Idan Gabrieli
Cloud Computing for Absolute Beginners - IaaS
1.5-3 hrs 6,510 learners
By Idan Gabrieli
You Will Learn How To

By the end of this course, you will be able to:

  • Define the concept of cloud computing
  • Classify private and public clouds
  • Classify cloud service models
  • Categorize virtualization technologies including VMs and containers
  • Describe the concept of vertical and horizontal scaling
  • Discuss the connection between microservices and cloud-native apps
  • Explain how IaaS is transforming IT into a utility
  • Classify the building blocks of cloud computing
  • Discuss IaaS pricing models
  • Evaluate the advantages and disadvantages of IaaS
  • Recognize typical market-use cases
course logo
CERTIFICATE
Beginner Level
Cloud Computing
Cloud Computing for Absolute Beginners - IaaS
1.5-3 hrs
6510 enrolled
Machine Learning for Absolute Beginners
1.5-3 hrs 11,732 learners
By Idan Gabrieli
You Will Learn How To

By the end of this course, you will be able to:

  • Outline the connection between artificial intelligence, machine learning and deep learning
  • Describe the concept of supervised and unsupervised learning
  • Recognise supervised learning building blocks of features and labels and provide examples
  • Explain the process of training a model in supervised learning
  • Recognise the challenges of underfitting and overfitting
  • Identify classification and regression tasks
  • Outline clustering and dimension reduction
  • Describe reinforcement learning
course logo
CERTIFICATE
Beginner Level
Machine Learning
Machine Learning for Absolute Beginners
1.5-3 hrs
11732 enrolled
Microservices Architecture for Absolute Beginners
1.5-3 hrs 2,670 learners
By Idan Gabrieli
You Will Learn How To

By the end of this course, you will be able to:

  • Outline the challenges of the old-school software development style
  • List the main building blocks of a single microservice
  • Describe the concept of microservices architecture
  • Define ‘cloud-native applications’
  • Analyse the key advantages of microservices
  • Estimate the implementation challenges of microservices
  • Discuss the Netflix microservices industry case study
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CERTIFICATE
Beginner Level
Software Development
Microservices Architecture for Absolute Beginners
1.5-3 hrs
2670 enrolled
Cloud Computing - Database Technologies and Services
1.5-3 hrs 6,136 learners
By Idan Gabrieli
You Will Learn How To

By the end of this course, you will be able to:

  • Define the basic terminology of DB, DBMS Schema and ETL/ELT
  • Classify operational and analytics data
  • Compare data warehouse and data lakes
  • Identify batch and stream processing
  • Compare SQL, NoSQL and NewSQL technologies
  • Describe in-memory and time-series technologies
  • Recognize the market options of ‘database as a service’ (DBaaS)
course logo
CERTIFICATE
Beginner Level
Databases
Cloud Computing - Database Technologies and Services
1.5-3 hrs
6136 enrolled
Machine Learning for Absolute Beginners - Python and Pandas
3-4 hrs 3,328 learners
By Idan Gabrieli
You Will Learn How To

By the end of this course, you will be able to:

  • Explain the fundamental syntax of Python
  • Discuss the JupyterLab development tool
  • Arrange and manage projects with Jupyter notebooks
  • Analyse examples of data science projects in Python
  • Arrange tabular datasets from CSV files into a DataFrame object
  • Classify, select, filter and clean raw data
  • Describe how to transform data in rows and columns as a pre-processing step before using algorithms
  • Compare, group and sort data in multiple dimensions
  • Arrange and export the output data to CSV files
  • Summarise an end-to-end data exploration
course logo
CERTIFICATE
Beginner Level
Python
Machine Learning for Absolute Beginners - Python and Pandas
3-4 hrs
3328 enrolled
Machine Learning for Absolute Beginners - Data Visualization with Python
3-4 hrs 1,944 learners
By Idan Gabrieli
You Will Learn How To

By the end of this course, you will be able to:

  • Analyse datasets using Exploratory Data Analysis (EDA)
  • Summarise data using a variety of chart types
  • Explain the fundamentals of Matplotlib and Seaborn
  • Classify bar, grouped bar, stacked bar and lollipop charts
  • Analyse data using pie and tree-map charts
  • Analyse data using line, area and stacked area charts
  • Evaluate data using histogram, density, box-and-whisker and swarm charts
  • Evaluate data using scatter, correlogram, heat-Map and hexbin-map charts
  • Select the right chart to perform the right task
  • Describe and discuss the of outcome of the analysis performed
course logo
CERTIFICATE
Beginner Level
Python
Machine Learning for Absolute Beginners - Data Visualization with Python
3-4 hrs
1944 enrolled
Showing 1 - 6 of 6
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I am delighted to have Join Alison.com. introduction to Artificial intelligence was worth my time.
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excellent teaching methodology
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