Full Stack Web Dev

A guide to understanding the required tools and also for tracking your self learning progression as you learn about AI & machine learning

AI and Machine Learning

Python

Python is dynamically-typed and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional programming. It is often described as a "batteries included" language due to its comprehensive standard library.
Guido van Rossum began working on Python in the late 1980s as a successor to the ABC programming language and first released it in 1991 as Python 0.9.0. Python 2.0 was released in 2000 and introduced new features such as list comprehensions, cycle-detecting garbage collection, reference counting, and Unicode support. Python 3.0, released in 2008, was a major revision that is not completely backward-compatible with earlier versions. Python 2 was discontinued with version 2.7.18 in 2020.


Data Structures & Algorithms

This module provides a comprehensive guide to the fundamental concepts of data structures and algorithms. The module includes links to videos and articles that cover a wide range of topics, from basic data structures like arrays and linked lists to complex algorithms such as sorting and searching. Data structures are the building blocks for many computer programs, as they provide efficient ways to store, organize and access data. Algorithms, on the other hand, are step-by-step procedures for solving problems. By studying data structures and algorithms, you will gain a deeper understanding of how to solve problems more efficiently and effectively, which is essential for many computer science and engineering careers. Whether you are a beginner or an experienced programmer, this module will help you to expand your knowledge and skills in this critical area of computer science.

Software Development Process

This module provides an in-depth coverage of the Software Development Process, with links to videos and articles that delve into its various topics. Software Development Process refers to a set of activities and tasks involved in creating and maintaining software products. It involves various stages such as requirement gathering, design, development, testing, and deployment. Understanding the Software Development Process is crucial for software developers, project managers, and stakeholders as it helps them plan, organize, and execute software projects in a structured and efficient manner. The resources included in this module aim to provide a comprehensive understanding of the Software Development Process, including best practices and common methodologies.

R is a powerful and widely used programming language for data analysis and statistical computing. It is known for its ability to handle large datasets, perform complex calculations, and create compelling visualizations. This R module is designed to help you learn the basics of R and how to use it to build practical projects. The module contains a comprehensive set of resources, including videos, articles, and projects that cover a variety of R topics. Whether you are a beginner or an experienced data analyst, you will find the information and resources in this module to be useful and informative.

MATLAB

This MATLAB module provides links to videos and articles that cover a wide range of topics related to MATLAB. MATLAB is a powerful numerical computing and data visualization software used by engineers, scientists, and researchers across various industries. It is a high-level programming language that allows users to perform complex computations, visualize data, and develop algorithms. With its intuitive syntax and advanced data analysis capabilities, MATLAB has become an indispensable tool for many professionals in the fields of engineering, science, and mathematics. The resources provided in this module will help users get started with MATLAB and gain a deeper understanding of its capabilities and applications.

TensorFlow

This TensorFlow module is designed to provide a comprehensive learning experience for those interested in TensorFlow. TensorFlow is an open-source software library for machine learning and deep learning. It allows developers to build and train complex models, perform a wide range of mathematical operations, and deploy models to various platforms, such as cloud services, desktop, and mobile devices. This module contains links to videos, articles, and projects that cover various TensorFlow topics, from the basics to advanced techniques. Whether you're a beginner or an experienced developer, this TensorFlow module will help you improve your skills and expand your knowledge of this essential tool for modern machine learning and artificial intelligence.

Keras

This Keras module is a comprehensive learning resource for anyone looking to master the Keras deep learning library. Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. It provides a simplified interface for creating and training deep learning models, allowing developers to focus on building and fine-tuning their models rather than writing complex low-level code. This module contains a wealth of resources, including links to videos, articles, and interactive tutorials, that are designed to help you understand the key concepts and features of Keras. Whether you are just starting out or looking to expand your existing skills, this Keras module is an excellent resource for anyone seeking to master this powerful library and build cutting-edge deep learning models with ease.

PyTorch

This PyTorch module is a comprehensive learning resource for anyone looking to master the PyTorch framework for deep learning. PyTorch is a popular open-source machine learning library that provides a seamless path from research to production. It is known for its ease of use, flexibility, and performance, making it an ideal choice for a wide range of deep learning applications. This module contains a wealth of resources, including links to videos, articles, and interactive tutorials, that are designed to help you understand the key concepts and features of PyTorch. Whether you are just starting out or looking to expand your existing skills, this PyTorch module is an excellent resource for anyone seeking to master this powerful framework and build cutting-edge deep learning models.

Django

Django is a high-level, open-source web framework written in Python. It was created in 2003 with the goal of making it easier for developers to build and maintain complex web applications. Django follows the Model-View-Template (MVT) architectural pattern and emphasizes reusability and "Don't Repeat Yourself" (DRY) principles, making it a highly efficient and scalable framework for web development.

Flask

Flask is a micro web framework written in Python. It is a minimalist framework that provides the basics for building a web application, and allows developers to build the rest of the application from scratch. This makes Flask highly flexible and suitable for small to medium-sized web applications, as well as for prototyping and building simple web APIs.

Flask is based on the Model-View-Controller (MVC) architectural pattern, and provides a simple way to route URLs to functions that handle incoming requests. It also includes a lightweight templating engine for rendering HTML, and has support for storing and retrieving data from databases.

Despite its simplicity, Flask is highly extensible and can be integrated with other libraries and frameworks to add additional functionality. This, combined with its small size and ease of use, makes Flask a popular choice for building web applications, especially for those who prefer a minimalist and unopinionated approach to web development.

This Git module provides a comprehensive learning experience for those interested in Git. Git is a widely used version control system that helps developers collaborate and manage changes to their code. It allows developers to track the history of their projects, revert to previous versions, and merge changes made by multiple contributors. This module contains links to videos and articles that cover various Git topics, from the basics of version control to advanced Git techniques. Whether you're a beginner or an experienced developer, this Git module will help you improve your skills and expand your knowledge of this essential tool for modern software development.

GitHub Actions

This GitHub Actions module is designed to help individuals understand the features and capabilities of GitHub Actions. The module contains links to videos and articles that cover various topics related to GitHub Actions. GitHub Actions is a continuous integration and delivery (CI/CD) platform that provides a way to automate software workflows. It integrates seamlessly with GitHub, allowing users to build, test, and deploy their code directly from the repository. With GitHub Actions, users can automate common tasks such as building and testing, as well as more complex workflows such as deploying to multiple environments. The platform offers a rich set of tools and integrations that allow users to build and run their CI/CD pipelines with ease. Whether you're a beginner or an experienced developer, "This GitHub Actions module" is a valuable resource for learning and mastering this powerful platform.

GitLab CI

This GitLab CI module is designed to provide you with a comprehensive understanding of GitLab CI, a powerful continuous integration tool. With links to videos and articles, this module covers everything from the basics of GitLab CI to advanced topics such as pipeline creation, job scheduling, and custom scripting. GitLab CI is an integral part of the GitLab platform, allowing developers to automate the building, testing, and deployment of their applications. Whether you are a beginner or an experienced software developer, this module will provide you with the knowledge you need to effectively use GitLab CI to improve your workflow and streamline your software development process.

Kubernetes

This Kubernetes module is the perfect resource for anyone looking to learn about the leading open-source platform for automating the deployment, scaling, and management of containerized applications. Kubernetes was designed to help organizations manage their cloud-native applications in a more efficient and scalable manner. The module contains links to videos, articles, and projects that cover all aspects of Kubernetes, from the basics of containerization to advanced topics such as networking and security. Whether you are just starting out with Kubernetes or have some experience and are looking to improve your skills, this module will provide a comprehensive learning experience and help you gain a deeper understanding of this essential tool for modern application development and deployment.

Docker

Docker is a platform for building, shipping, and running distributed applications. It uses containers, which are lightweight and portable units of software that allow developers to package their applications and dependencies into a single unit that can run on any infrastructure. This Docker module is designed to help you learn the basics of Docker and how to use it to build and manage your own applications. The module contains a comprehensive set of resources, including videos, articles, and projects that cover a variety of Docker topics. Whether you are a beginner or an experienced developer, you will find the information and resources in this module to be useful and informative.

AWS Neptune

TensorBoard

Comet

AWS Machine Learning

Apache Mahout

Google Colab

Azure Machine Learning

Subversion

Mercurial

Java

Java is a class-based, object-oriented programming language that was first released in 1995. It is widely used for building large-scale, enterprise-level applications, but is also well-suited for building mobile apps, desktop applications, and web-based applications. Java is known for its "Write once, run anywhere" philosophy, meaning that Java code can run on any device that has a Java Virtual Machine installed, regardless of the underlying hardware and operating system. Java also has a large and active development community, which contributes to its stability and security, and makes it an attractive choice for companies and developers alike. Additionally, Java has a wealth of libraries and frameworks available, which makes it easier for developers to build complex applications quickly and efficiently.

AI and Machine Learning

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🚀 Modules to Learn

Fundamentals

Languages

Version Control

Frameworks & Libraries

Experiment & Model Visualization

Web Frameworks

CI CD

Cloud ML Tools

Containers