The
Artificial
Intelligence
Infrastructure
Workshop

Explore how a data storage system works – from data ingestion to representation.
Cover of The Artificial Intelligence Infrastructure Workshop

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Course Curriculum

An A to Z tour of artificial intelligence infrastructure.

  • 2. Artificial Intelligence Storage Requirements

    • Overview
    • Storage Requirements
    • Data Layers
    • Exercise 2.01: Designing a Layered Architecture for an AI System
    • Requirements per Infrastructure Layer
    • Raw Data
    • Exercise 2.02: Defining the Security Requirements for Storing Raw Data
    • Scalability
    • Historical Data
    • Exercise 2.03: Analyzing the Availability of a Data Store
    • Availability Consequences
    • Time Travel
    • Streaming Data
    • Exercise 2.04: Setting the Requirements for Data Retention
    • Analytics Data
    • Model Development and Training
    • Activity 2.01: Requirements Engineering for a Data-Driven Application
    • Activity 2.01: Requirements Engineering for a Data-Driven Application
    • Summary
    • Survey I
  • 3. Data Preparation

    • Overview
    • ETL
    • Exercise 3.01: Creating a Simple ETL Bash Script
    • Traditional ETL with Dedicated Tooling
    • Exercise 3.02: Building an ETL Job Using Spark
    • Activity 3.01: Using PySpark for a Simple ETL Job to Find Netflix Shows for All Ages
    • Activity 3.01: Using PySpark for a Simple ETL Job to Find Netflix Shows for All Ages
    • Source to Raw: Importing Data from Source Systems
    • Streaming Data
    • Exercise 3.03: Streaming Data Processing with Spark
    • Activity 3.02: Counting the Words in a Twitter Data Stream to Determine the Trending Topics
    • Activity 3.02: Counting the Words in a Twitter Data Stream to Determine the Trending Topics
    • Summary
  • 4. Ethics of AI Data Storage

    • Overview
    • Case Study 1: Cambridge Analytica
    • Case Study 2: Amazon's AI Recruiting Tool
    • Case Study 3: COMPAS Software
    • Finding Built-In Bias in Machine Learning Models
    • Exercise 4.01: Observing Prejudices and Biases in Word Embeddings
    • Exercise 4.02: Testing Our Sentiment Classifier on Movie Reviews
    • Activity 4.01: Finding More Latent Prejudices
    • Activity 4.01: Finding More Latent Prejudices
    • Summary
  • 5. Data Stores: SQL and NoSQL Databases

    • Overview
    • Database Components
    • SQL Databases
    • MySQL
    • Exercise 5.01: Building a Relational Database for the FashionMart Store
    • Data Modeling
    • Activity 5.01: Managing the Inventory of an E-Commerce Website Using a MySQL Query
    • Activity 5.01: Managing the Inventory of an E-Commerce Website Using a MySQL Query
    • NoSQL Databases
    • MongoDB
    • Exercise 5.02: Managing the Inventory of an E-Commerce Website Using a MongoDB Query
    • Data Modeling
    • Activity 5.02: Data Model to Capture User Information
    • Activity 5.02: Data Model to Capture User Information
    • Cassandra
    • Exercise 5.03: Managing Visitors of an E-Commerce Site Using Cassandra
    • Data Modeling
    • Activity 5.03: Managing Customer Feedback Using Cassandra
    • Activity 5.03: Managing Customer Feedback Using Cassandra
    • Exploring the Collective Knowledge of Databases
    • Summary
    • Survey II
  • 6. Big Data File Formats

    • Overview
    • Common Input Files
    • Choosing the Right Format for Your Data
    • Introduction to File Formats
    • Exercise 6.01: Converting CSV and JSON Files into the Parquet Format
    • Avro
    • Exercise 6.02: Converting CSV and JSON Files into the Avro Format
    • ORC
    • Exercise 6.03: Converting CSV and JSON Files into the ORC Format
    • Query Performance
    • Activity 6.01: Selecting an Appropriate Big Data File Format for Game Logs
    • Activity 6.01: Selecting an Appropriate Big Data File Format for Game Logs
    • Summary
  • 7. Introduction to Analytics Engine (Spark) for Big Data

    • Overview
    • Apache Spark
    • Exercise 7.01: Creating Your Databricks Notebook
    • Understanding Various Spark Transformations
    • Exercise 7.02: Applying Spark Transformations to Analyze the Temperature in California
    • Understanding Various Spark Actions
    • Exercise 7.03: Applying Spark Actions to the Gettysburg Address
    • Activity 7.01: Exploring and Processing a Movie Locations Database Using Transformations and Actions
    • Activity 7.01: Exploring and Processing a Movie Locations Database Using Transformations and Actions
    • Best Practices
    • Summary
  • 8. Data System Design Examples

    • Overview
    • The Importance of System Design
    • Examining a Pipeline Design for an AI System
    • Exercise 8.01: Designing an Automatic Trading System
    • Making a Pipeline System Highly Available
    • Exercise 8.02: Adding Queues to a System to Make It Highly Available
    • Activity 8.01: Building the Complete System with Pipelines and Queues
    • Activity 8.01: Building the Complete System with Pipelines and Queues
    • Summary
  • 9. Workflow Management for AI

    • Overview
    • Creating Your Data Pipeline
    • Exercise 9.01: Implementing a Linear Pipeline to Get the Top 10 Trending Videos
    • Exercise 9.02: Creating a Nonlinear Pipeline to Get the Daily Top 10 Trending Video Categories
    • Challenges in Managing Processes in the Real World
    • Exercise 9.03: Creating a Multi-Stage Data Pipeline
    • Exercise 9.04: Automating a Multi-Stage Data Pipeline Using a Bash Script
    • Automating Asynchronous Data Pipelines
    • Exercise 9.05: Automating an Asynchronous Data Pipeline
    • Workflow Management with Airflow
    • Exercise 9.06: Creating a DAG for Our Data Pipeline Using Airflow
    • Activity 9.01: Creating a DAG in Airflow to Calculate the Ratio of Likes-Dislikes for Each Category
    • Activity 9.01: Creating a DAG in Airflow to Calculate the Ratio of Likes-Dislikes for Each Category
    • Summary
    • Survey III
  • 10. Transforming a Table Schema into Document Format and Uploading It to Cloud Storage

    • Overview
    • Interacting with Cloud Storage
    • Exercise 10.01: Uploading a File to an AWS S3 Bucket Using AWS CLI
    • Exercise 10.02: Copying Data from One Bucket to Another Bucket
    • Exercise 10.03: Downloading Data from Your S3 Bucket
    • Exercise 10.04: Creating a Pipeline Using AWS SDK Boto3 and Uploading the Result to S3
    • Getting Started with Cloud Relational Databases
    • Exercise 10.05: Creating an AWS RDS Instance via the AWS Console
    • Exercise 10.06: Accessing and Managing the AWS RDS Instance
    • Introduction to NoSQL Data Stores on the Cloud
    • Data in Document Format
    • Activity 10.01: Transforming a Table Schema into Document Format and Uploading It to Cloud Storage
    • Activity 10.01: Transforming a Table Schema into Document Format and Uploading It to Cloud Storage
    • Summary
  • 11. Building an Artificial Intelligence Algorithm

    • Overview
    • Machine Learning Algorithms
    • Exercise 11.01: Implementing a Gradient Descent Algorithm in NumPy
    • Getting Started with PyTorch
    • Exercise 11.02: Gradient Descent with PyTorch
    • Mini-Batch SGD with PyTorch
    • Exercise 11.03: Implementing Mini-Batch SGD with PyTorch
    • Building a Reinforcement Learning Algorithm to Play a Game
    • Exercise 11.04: Implementing a Deep Q-Learning Algorithm in PyTorch to Solve the Classic Cart Pole Problem
    • Activity 11.01: Implementing a Double Deep Q-Learning Algorithm to Solve the Cart Pole Problem
    • Activity 11.01: Implementing a Double Deep Q-Learning Algorithm to Solve the Cart Pole Problem
    • Summary
  • 12. Productionizing Your AI Applications

    • Overview
    • pickle and Flask
    • Exercise 12.01: Creating a Machine Learning Model API with pickle and Flask That Predicts Survivors of the Titanic
    • Activity 12.01: Predicting the Class of a Passenger on the Titanic
    • Activity 12.01: Predicting the Class of a Passenger on the Titanic
    • Deploying Models to Production
    • Exercise 12.02: Deploying a Dockerized Machine Learning API to a Kubernetes Cluster
    • Activity 12.02: Deploying a Machine Learning Model to a Kubernetes Cluster to Predict the Class of Titanic Passengers
    • Activity 12.02: Deploying a Machine Learning Model to a Kubernetes Cluster to Predict the Class of Titanic Passengers
    • Model Execution in Streaming Data Applications
    • Exercise 12.03: Exporting a Model to PMML and Loading it in the Flink Stream Processing Engine for Real-time Execution
    • Activity 12.03: Predicting the Class of Titanic Passengers in Real Time
    • Activity 12.03: Predicting the Class of Titanic Passengers in Real Time
    • Summary
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Amazing

Federico Patito

This course is excelent, with this course you learn a lot of topics and each topic has some exercises that are very u...

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This course is excelent, with this course you learn a lot of topics and each topic has some exercises that are very useful.

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Very detailed workshop with good excercises and activites

Ajijul Hakim Abid

Very good in-depth workshop in python. Goes over almost every topics but some topics could have a more detailed expla...

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Very good in-depth workshop in python. Goes over almost every topics but some topics could have a more detailed explanation. Would't recommend for someone totally new to programming.

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Great Introductory Course

mohammad nazeri

This course covers basic Python syntax, how to develop software in python, how to work in a team, and an introduction...

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This course covers basic Python syntax, how to develop software in python, how to work in a team, and an introduction to data science and machine learning with Python.

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An excellent way to learn Python

Juan Alberto Cañero Tamayo

I like the methodology applied to this workshop, it starts from the basic and a good explanation of the subjects plus...

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I like the methodology applied to this workshop, it starts from the basic and a good explanation of the subjects plus a plenty of examples helps you to understand Python.

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5 Stars for the content !

Mahesh Deshpande

I belong to mechanical background and started leaning any kind of programming in my life with this course. This is to...

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I belong to mechanical background and started leaning any kind of programming in my life with this course. This is too good for a beginner like me. The content is properly given and exercise and activities are also good. Video explainations help a lot ! The only problem I faced was the kernel busy problem in the Jupyter IDE. Otherwise I found Jupyter most user friendly as compared to other IDEs. Thanks Packt for this course !

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The most satisfying python workshop i ever attended!

Sanket Gadge

I have attended many python workshops, but this one is really great, the content is super awesome. Actually all the c...

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I have attended many python workshops, but this one is really great, the content is super awesome. Actually all the courses workshops i ever attended they never taught me (for ex. say logging) everything in python, but this workshop even covers the python from beginner to advanced. With activities included, this workshop made me think more and more rather than just going through the content and reading text and videos. I learned a ton here. Thank you for all the coaches who creating this extra ordinary content.

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DATA SCIENCE Workshop

LALIT JADHAV

This course format and is very easily understandable. Workshop Certificate structure are very wonderful. Thanks a lot...

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This course format and is very easily understandable. Workshop Certificate structure are very wonderful. Thanks a lot for Packt👈

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Excellent course !!

Luiz Pellegrini

Very well structured, with good examples and a rational sequence !! An additional feature is that it is updated and d...

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Very well structured, with good examples and a rational sequence !! An additional feature is that it is updated and designed run on Jupyter Notebooks!!

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Course content

Edward Amankwah

The course presents a great way to data visualization techniques and it also opens up a lot of opportunities for data...

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The course presents a great way to data visualization techniques and it also opens up a lot of opportunities for data scientist to explore their dataset before and after data modelling.

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Many disciplines in Data Visualization

Thomas Hopf

Taking into account Python and therefore Jupyter Notebooks as a "platform" isn't a problem at all, since it's common....

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Taking into account Python and therefore Jupyter Notebooks as a "platform" isn't a problem at all, since it's common. Setting up by "cloning" a github repository was very easy. The toolboxes for visualization in focus are Matplotlib (famous), Seaborn, Geoplotlib. The order makes sense and in order to get Python basics pandas and numpy are also introduced first. Finally Bokeh is introduced as an interactive tool with no deep-dive but explaining the concept and options. At the end there will be a summary. The quizzes are not that easy in my opinion and you really should follow every topic and do the exersices, activities. Thanks for this perfect designed workshop course and the good example datasets. Greetz, Tommy

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Simple and straight-forward intro

Geoffrey Letsoalo

The introduction is simple and very informative in terms of estalishing and getting the development environment going...

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The introduction is simple and very informative in terms of estalishing and getting the development environment going. Very intuitive!

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Different and made for people like me

Muizz Lateef

I have been watching tutorial videos for over 6 months now and not really confident yet, but few minutes into this te...

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I have been watching tutorial videos for over 6 months now and not really confident yet, but few minutes into this text approach and i am already getting the whole idea

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Excellent Course Overall

Jon Hill

Had some familiarity with Python before starting the course and working through the exercises and activities, certain...

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Had some familiarity with Python before starting the course and working through the exercises and activities, certainly picked up some things that I had missed before and filled some gaps in my knowledge. Course needs a bit of proof-reading as a number of errors sprinkled throughout. Found the Activities needed a little more guidance rather than being vague but worked out in the end. Overall excellent course, especially for those beginning with Python as covers a full spectrum of Python requirements. Many thanks

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Review for the Python Workshop

Samapriya Trivedi

This workshop provides one of the best educative content for the Python available on internet. Got to know a lot abou...

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This workshop provides one of the best educative content for the Python available on internet. Got to know a lot about Python and it's working in a very elaborate manner.

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Learning Python is Easier

Jayabalan Ravichandiran

Python concepts and using those in practice , made easier to know about python. Core concepts are explained in detail...

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Python concepts and using those in practice , made easier to know about python. Core concepts are explained in detail . The activities enables to play & know python more than reading through only concepts . The Best of python course is here ....

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Real Python lover... The Packt.

Jonty Rhodes

What can I say this website is very good for beginners. Although this website enhancing my programming experience al...

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Attila Sebők's review

Attila Sebők

A Python Workshop kellemes meglepetés volt számomra. Tetszett a tema csoportosítása. Sokat tanultam a Workshopból. Am...

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A Python Workshop kellemes meglepetés volt számomra. Tetszett a tema csoportosítása. Sokat tanultam a Workshopból. Ami lehetne jobb: naprakész hibajavítás a leckékben és a tesztekben.

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Wonderful

Varun Kanthety

This is a wonderful course to dive deeply into the main features of JavaScript. Without any hesitation, I highly reco...

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This is a wonderful course to dive deeply into the main features of JavaScript. Without any hesitation, I highly recommend this workshop to learn JavaScript.

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Good course on JavaScript... Super Easy Language, Every e...

Kuntal Bhowmick

The Workshop is really good and covers a lot of content starting from basics till advance. The Workshop explain ho...

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The Workshop is really good and covers a lot of content starting from basics till advance. The Workshop explain how things work by using simple language, so you don't feel like you're just copying code—you're actually understanding what you're writing, and why. In particular, I appreciate this JavaScript Workshop because of the exercise and the activities given for each and every concept. The workshop also show students how to problem-solve like a developer: what to type into Google when you're stuck, how to get to the bottom of an error message, etc. I think the understanding the core concept was very beneficial and think it would help me become a better developer in the future. Amazing breakdowns that really help fill in knowledge gaps. Great exercises with fully detailed explanations. I am satisfied with the course. I highly recommend this course to anyone who wants to learn JS(JavaScript). Edit: I want to add another thing. The quiz given after every section is very important. It gives me how much I understand the section. the quiz also displays the explanation of each answer along with whether my selected answer is right or wrong.

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Programming fundamentals

Oteri Eyenike

I was able to understand the conditional statement, data types, the object of properties and I like every aspect of t...

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I was able to understand the conditional statement, data types, the object of properties and I like every aspect of the course.

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Content

Adedeji Adelanwa

It is quite informative and helpfully. A real refresher and eye opener for me. Though there are a few typos and sente...

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It is quite informative and helpfully. A real refresher and eye opener for me. Though there are a few typos and sentence misplacement and also video. I don't mind helping out in correcting the errors

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A must for those aiming to become true web developers

Jose B

Despite minor aspects with tests (the one focused on PHP), it is a very good way to teach yourself JavaScript coverin...

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Despite minor aspects with tests (the one focused on PHP), it is a very good way to teach yourself JavaScript covering the latest ECMA standards,

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One of the best place to learn

NAGA SANKARA SAI KARTHIK MUKKU

This workshop course is not a pack of subject but also helps in connecting real-world and also provide wide-range of ...

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This workshop course is not a pack of subject but also helps in connecting real-world and also provide wide-range of concepts which make this workshop stand out of the box

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Great workshop

Djoko Cahyo Utomo Lieharyani

This workshop gives a provide broad insight into python, more to practical exercises and activities. There are some p...

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This workshop gives a provide broad insight into python, more to practical exercises and activities. There are some problems tough, like some wrong script, redundant question, and no clear definition on some part (around 15% of 100% I guess), but the discussion part is helpful, coz sometimes with reading discussion part make some problem clear. My suggestion is to make the workshop perfect by validating the disscussion part.

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Excellent!

Marcos Souza

I was very surprised by the quality of this course. Its well organized, full of examples on the subjects it is teachi...

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I was very surprised by the quality of this course. Its well organized, full of examples on the subjects it is teaching, relevant quizzes and exercises, and even videos. Its by far the best free course i've ever seen.

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Course content

Edward Amankwah

A great way to review the length and breath of Python language. It introduces more concepts that can be pursued furth...

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A great way to review the length and breath of Python language. It introduces more concepts that can be pursued further which I really like, especially for data science.

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