CodingNomads

Course Description:

In the Java Programming 4-month program, you’ll learn beginner-to-intermediate foundational engineering skills in Java - the powerhouse language for enterprise development.

The 4-month program is the first half of CodingNomads Java Career Track, and consists of multiple courses, including Java 101, 201, and 301, SQL & MySQL, and Git & GitHub. These skills are needed for hundreds of thousands of open jobs, and go beyond what’s often taught in undergrad university.

In this program, you’ll build several simple Java applications for your portfolio. You’ll also learn strong computer science principles that set the stage for you to continue learning Advanced Java or any other language in the future.

Most students finish the Java course in 4 months when dedicating 15-25 hours to studying per week. Please check CodingNomads’ website for additional programs, payment options, and to explore our curriculum before signing up.

Subjects: Java, SQL, MySQL, Git, Github, Object Oriented Programming (OOP), Algorithms, Database Design, Data Structures, Back-End Web Development, Database Management, Command Line, Computer Science Fundamentals

Subjects:
Git, Github, Command Line, Database Management, Object Oriented Programming (OOP), Java, SQL, Algorithms, Database Design, Data Structures, Back-End Web Development

Course Description:

In the Python Programming 4-month program, you’ll learn beginner-to-intermediate programming skills in the world’s [currently] most beloved language - Python!

Learn to build your own software applications from scratch that interact with APIs and databases. Put your skills into practice by following our project-based curriculum and completing multiple lab and project assignments. Work with our team of knowledgeable mentors who can help you build your idea, and your career.

The 4-month program includes Python 101, 201, and 301, SQL & MySQL, and Git & GitHub. Most students complete in this timeframe when dedicating 15+ hours to studying per week. This Python program is the first set of courses in both CodingNomads’ Data Science + Machine Learning Career Track, and Python Web Development Career Track.

Please check CodingNomads’ website for additional programs, payment options, and to explore the course curriculum.

Subjects: Python, Git, Github, Command Line, API, Object Oriented Programming (OOP), SQL, Data Structures, Database Design, Database Management, Computer Science Fundamentals

Subjects:
Git, Github, Command Line, Database Management, API, Python, Object Oriented Programming (OOP), SQL, Database Design, Data Structures

Course Description:

Learn to design, develop, and deploy professional-quality, enterprise-grade applications using Java, Spring Framework, and AWS. CodingNomads modern and comprehensive Spring Framework course helps you build upon your Java skills, and qualify for high-paying Java developer roles worldwide. We hold 2023 Best Java Bootcamp titles by Forbes, ZDNet, and more.

In this course, you’ll build multiple projects that demonstrate your skills in areas like Spring Web, MVC, API Integration, Spring Security, and AWS Deployment and Delivery. When you finish this course, you'll be a legitimately capable software developer with a portfolio to prove it.

Most students finish the Advanced Java + Spring + AWS course in 4 months when dedicating 15-20 hours to studying per week. This course is the second half of CodingNomads Java Career Track program, where you’ll learn intermediate-to-advanced back-end engineering skills. Proficiency with Java programming, SQL, MySQL, Git & GitHub are prerequisites.

If you need to learn Java first, please see our Java Enterprise Career Track for the full program. Visit our website for additional programs, payment options, and to explore our curriculum.

Subjects: Algorithms, Back-End Web Development, Database Management, Command Line, Computer Science Fundamentals, Apache, API, AWS, Bash, Big Data, Bootstrap, Cloud Computing, Command Line, Data Analytics, Database Design, Data Structures, Design Principles, DevOps, Docker, Git, Github, Java, JSON, Linux, Maven, MVC, MySQL, NoSQL, Object Oriented Programming (OOP), Shell Scripting, Software Quality Assurance (SQA), Software Testing, Spring MVC, Spring Boot, Spring Security, Spring Framework, Spring Data, SQL, Test-Driven Development (TDD), User Authentication, UX, Web Development, Web Services, Computer Science Fundamentals

Course Description:

In the Data Science + ML + AI 12-month career track, you’ll learn beginner-to-professional skills for jobs in data science, machine learning, deep learning / AI, and more. Successful graduates have gone on to secure promotions and 5-figure salary raises after completing this program. CodingNomads holds 2023-2024 Best Data Science and AI Bootcamp titles from Forbes, Fortune, and SwitchUp.

This career track starts with Python and SQL, and progresses through Data Science + Machine Learning, and Deep Learning with Neural Networks. You can see all of our written curriculum for free on our website.

Most graduates spend 6-10 months to complete the curriculum when studying 15+ hours per week, plus 2-3 months in our career mentorship program. If you don’t need the full 12-month program or career mentorship, please check our website for additional programs and payment options.

Upon successful completion of the Data Science + ML + AI career track, you will have built multiple custom projects that demonstrate your ability to use data science principles, machine learning algorithms, and deep learning techniques to analyze business decisions. Because our courses teach you *how to think* like a data scientist, the goal is to equip you with the ability to work through any problem (or interview question) on your own.

Subjects:

Git, Github, MySQL, Command Line, Web Services, Database Management, Bash, Docker, Functional Programming, JSON, NPM, Shell Scripting, Technical Leadership, Career Coaching, SciPy, NumPy, Matplotlib, API, Python, Pytorch, Jupyter Notebook, Machine Learning, Data Analytics, SQL, Algorithms, Tensorflow, SciKit, Database Design, Data Visualization, Data Structures, Data Science, Deep Learning, AI, Statistics & Probability, Big Data, Data Mining, Pandas, Cloud Computing, Computer Science Fundamentals

Subjects:
Linux, Design Principles, Git, Github, MySQL, Command Line, Web Services, Database Management, Bash, Docker, Functional Programming, JSON, NPM, Shell Scripting, Technical Leadership, Career Coaching, SciPy, NumPy, Matplotlib, API, Python, Jupyter Notebook, Machine Learning, Data Analytics, SQL, Algorithms, Tensorflow, SciKit, Database Design, Data Visualization, Data Structures, Data Science, Statistics & Probability, Big Data, Data Mining, Pandas, Cloud Computing

Course Description:

Learn to navigate decision-making processes using data science techniques and machine learning algorithms. In this course, you will implement each new tool and concept you learn into a project using real-world datasets. In each project, there will be dozens of methods or techniques that you could try.

While some data science courses teach a *specific* way to do things, with CodingNomads, you’ll learn *how to think through a problem for yourself*. By challenging you to think like a data scientist, you’ll graduate with the confidence and skill to choose the most fitting solution for your particular task.

Most students finish the DS + ML course in 4 months when studying 15 hours per week. Python Programming proficiency is a prerequisite for taking the DS+ML Course. If you need to learn Python first, please see our Data Science + ML + AI Career Track. Visit our website for additional programs, payment options, and to explore our curriculum.

Data Science Subjects

Algorithms, API, Bash, Big Data, Career Coaching, Cloud Computing, Command Line, Data Analytics, Data Mining, Data Science, Data Structures, Data Visualization, Database Design, Database Management, Design Principles, Docker, Functional Programming, Git, Github, JSON, Jupyter Notebook, Linux, Machine Learning, Matplotlib, MySQL, NPM, NumPy, Pandas, Python, SciKit, SciPy, Shell Scripting, SQL, Statistics & Probability, Technical Leadership, Tensorflow, Web Services

Subjects:
Linux, Design Principles, Git, Github, MySQL, Command Line, Web Services, Database Management, Bash, Docker, Functional Programming, JSON, NPM, Shell Scripting, Technical Leadership, Career Coaching, SciPy, NumPy, Matplotlib, API, Jupyter Notebook, Machine Learning, Data Analytics, SQL, Algorithms, Tensorflow, SciKit, Database Design, Data Visualization, Data Structures, Data Science, Statistics & Probability, Big Data, Data Mining, Pandas, Cloud Computing

Course Description:

Learn how to make predictions from data using Python, neural networks, computer vision, natural language processing, and more. These deep machine learning techniques are the fundamentals of artificial intelligence. CodingNomads’ Deep Learning with Python course earned the #1 spot in Forbes Best AI Bootcamps of 2024.

In this course, you’ll build multiple projects to demonstrate your skills in Pytorch, Image Classification, RNNs, and more. By the end of the course you will design, train, and evaluate your own deep learning models in the areas of your interest.

Most students finish the Deep Learning course in 4 months when studying 15 hours per week. Proficiency with Python programming, Jupyter notebooks, matplotlib, basic algebra and calculus are prerequisites for the Deep Learning course. If you need to learn Python and Data Science foundations first, please see our Data Science + ML + AI Career Track. Please visit our website for additional programs, payment options, and to explore our curriculum.

Deep Learning Subjects

Artificial Intelligence (AI), Algorithms, API, Big Data, Cloud Computing, Data Analytics, Data Mining, Data Science, Data Structures, Data Visualization, Jupyter Notebook, Machine Learning, Matplotlib, NumPy, Pandas, Python, SciKit, SQL, Statistics & Probability, Technical Leadership

Course Description:

Java has been a top programming language for decades because many of the world’s largest companies use Java. CodingNomads’ Java Career Track teaches beginner-to-professional skills that are used daily by Java developers, and are in-demand for jobs. We have the most modern and comprehensive Spring Framework curriculum on the market, which has made our graduates successful at landing jobs all around the world. We hold 2023 Best Java Bootcamp titles by Forbes, ZDNet, and more.

This program is open to coders of all levels and starts at the very beginning. The Java job market is receptive to beginner coders, so we recommend this track as a proven and reliable way to break into software engineering with no prior experience.

In our Java Career Track, you will build a portfolio of complex, enterprise-grade software applications from scratch. You will also possess strong computer science skills that enable you to tackle any software challenge thrown your way and learn additional programming technologies with more ease.

The career track starts with Java and SQL, then dives deep into enterprise application development with the Spring Framework and Spring Boot, AWS cloud infrastructure, and much more. Most graduates spend 6-10 months to complete the curriculum and capstone project when studying 15+ hours per week, plus 2-3 months in our career mentorship program. If you don’t need the full 12-month program, please check our website for additional programs, payment options, and to explore our curriculum.

All Java course lectures are pre-recorded, so you can learn when it’s convenient for you. You’ll meet weekly 1:1 with your mentor, and we encourage you to reach out anytime in between meetings for extra help, whenever you need it! Personalized mentor support is key to transforming you into a confident Java developer, and we’re here to help you see it through.

Java Career Track Subjects
Agile, Algorithms, Apache, API, AWS, Back-End Web Development, Bash, Big Data, Bootstrap, Career Coaching, Cloud Computing, Command Line, Data Analytics, Data Structures, Database Design, Database Management, Design Principles, DevOps, Docker, Git, Github, HTML, Java, JavaScript, JSON, Linux, Maven, MVC, MySQL, NoSQL, Object Oriented Programming (OOP), Shell Scripting, Software Quality Assurance (SQA), Software Testing, Spring MVC, Spring Boot, Spring Security, Spring Framework, Spring Data, SQL, Test-Driven Development (TDD), User Authentication, UX, Web Development, Web Services, Computer Science Fundamentals

Subjects:
Linux, Design Principles, CSS, Git, HTML, Github, MySQL, Bootstrap, Command Line, User Authentication, Web Services, Database Management, Bash, Docker, JSON, MVC, NoSQL, Shell Scripting, Software Testing, Test-Driven Development (TDD), Career Coaching, Apache, API, Software Quality Assurance (SQA), Agile, Object Oriented Programming (OOP), Maven, Java, Data Analytics, SQL, Algorithms, Database Design, JavaScript, UX, AWS, DevOps, Data Structures, Spring MVC, Back-End Web Development, Big Data, Cloud Computing

Course Description:

Learn to build dynamic, interactive web applications from scratch using JavaScript, HTML, CSS, REST APIs, Git & GitHub, and more. Graduate with several projects for your portfolio and gain the confidence to navigate front-end web development projects on your own. Enjoy the process of learning to code with our practical curriculum and friendly teaching style.

The 4-month program includes JavaScript 101 and 201 and Git & GitHub. Most students complete in this timeframe when dedicating 15+ hours to studying per week. Please check CodingNomads’ website for additional programs, payment options, and to explore our curriculum for free.

Subjects: API, Computer Science Fundamentals, CSS, Front-End Web Development, Git, Github, HTML, JavaScript, REST, Web Design, Web Development, Web Services

Course Description:

Learn to build your own applications, scripts, automations, and web applications from scratch in CodingNomads’ Python Web Development Career Track. By using web development frameworks like Django and Flask, you can create robust and scalable web applications with the beloved language of Python - which is often considered easier to read, write, and learn than other programming languages.

This program is open to coders of all levels and starts at the very beginning. CodingNomads’ Python Web Development course teaches the practical skills needed to become a professional developer. It also gives you a strong foundation to go into more advanced fields like data science and machine learning.

In this career track, you will start building projects from the very beginning and graduate with a portfolio of projects using a variety of Python tools. You will also possess strong computer science skills that enable you to tackle any software challenge thrown your way, and learn additional programming technologies more easily.

The career track starts with Python, SQL, and APIs, and progresses through the Django Framework, Flask & JavaScript (optional), deployment, and more. Most graduates spend 6-10 months to complete the curriculum and capstone projects when studying 15 hours per week, plus 2-3 months in our career mentorship program. If you don’t need the full 12-month program, please check our website for additional programs, payment options, and to explore our curriculum.

All lectures are pre-recorded, so you can learn when it’s convenient for you. You’ll meet weekly 1:1 with your mentor, and we encourage you to reach out anytime in between meetings for extra help whenever you need it! This consistent pace helps you build a routine around learning and make tangible progress every week.

Python Web Dev Career Track Subjects
Agile, Algorithms, API, App Development, Azure, Back-End Web Development, Bash, Bootstrap, Career Coaching, Command Line, CSS, Data Analytics, Data Structures, Data Visualization, Database Design, Database Management, Design Principles, Django, Flask, Docker, Functional Programming, Git, Github, Heroku, HTML, JavaScript, JSON, Linux, MVC, MySQL, NoSQL, NPM, Object Oriented Programming (OOP), Python, REST, SaaS, Shell, Scripting, Software Testing, SQL, Technical Leadership, Test-Driven Development (TDD), User Authentication, UX, Web Development, Web Services, Computer Science Fundamentals, DevOps

Subjects:
Linux, Design Principles, CSS, Git, HTML, Github, MySQL, Bootstrap, Command Line, Heroku, User Authentication, Web Services, SaaS, Database Management, Bash, Docker, Functional Programming, JSON, MVC, NoSQL, NPM, Shell Scripting, Software Testing, Test-Driven Development (TDD), Technical Leadership, Career Coaching, API, Python, Agile, Object Oriented Programming (OOP), Data Analytics, SQL, Django, Algorithms, Database Design, JavaScript, UX, Data Visualization, Data Structures, App Development, Back-End Web Development, REST, Web Development, Azure