Turing.School is an online educational platform focusing on equipping young developers with the skills required to excel in the field of AI. The company has a unique curriculum that includes self-paced learning, hands-on projects, mentorship, and career support services all in a flexible online environment.
Turing.School has an emphasis on practical application of AI concepts as shown in its programming exercises, which engage students through popular culture scenarios such as sorting movies and helping fight against zombies. The company's AI programming courses cover various AI-related topics, including machine learning, Python programming, natural language processing (NLP), and deep learning. Turing.School has a personalized approach to learning that accommodates different learning speeds and schedules for full-time and part-time students.
The school's alumni network provides graduates with job opportunities, continued mentorship, and networking events to ensure continued success in their future careers.
TLDR
Turing.School is an online educational platform offering AI programming courses that emphasize practical applications of AI concepts through hands-on projects, self-paced learning, mentorship, and career support services. The company's courses cover various AI-related topics, including Python programming, machine learning, NLP, and deep learning. Turing.School has a flexible online learning environment that accommodates different schedules and learning speeds.
Furthermore, their personalized approach ensures that learners receive the necessary skills required to succeed in the field of AI. The school's alumni network provides career support services for graduates, including job opportunities, continued mentorship, and networking events. Turing.School has a unique curriculum that prepares young developers to tackle real-world AI problems by engaging students through popular culture scenarios.
Company Overview
Turing.School is an educational platform that provides AI programming courses aimed at equipping young developers with the necessary practical, theoretical and industry-related skills required to excel in the field of AI. The school offers a unique curriculum that includes hands-on projects, mentorship and career support services, in a flexible online environment.
Turing.School's emphasis on practical application of AI concepts is evident in its programming exercises. Writing a Python program for popular culture scenarios such as Superman sorting Star Trek episodes in chronological order or helping Harry Potter sort magical items in alphabetical order emphasizes practical coding exercises.
In another exercise, learners have to create a program to aid the fight against zombies by generating a list of weapons and assigning them randomly to residents. In addition to the creative storylines, Turing.School creates content that engages learners through easy-to-follow instructions and real-time feedback to ensure that learners have a better understanding of AI.
Turing.School offers a variety of programs, both short-term and long-term, for full-time and part-time learners to accommodate different learning speeds and schedules. Courses cover various AI-related topics, including Python programming, machine learning, natural language processing (NLP), and deep learning. The school's curriculum is constantly evolving, accommodating the latest industry advancements to equip students with up-to-date skills.
Turing.School's vision is to provide quality, industry-related education in AI programming to ambitious learners, regardless of their background or previous education. The online environment, flexible schedules and personalized approach ensures that learners have the skills required to enter and succeed in the field of AI.
The school detests the relentless pursuit of typing codes and memorizing syntax by offering learners an opportunity to apply AI programming in real-life scenarios. With Turing.School's AI programming courses, learners are much more than students, they are young developers.
Features
Flexible Online Learning Environment
Self-Paced Learning
Turing.School's AI programming courses provide students with the flexibility to learn at their own pace. This means that students can complete the course faster if they have more time to study or slow down if they have less time. The customized approach ensures that learners have the necessary skills required to succeed in the field of AI.
24/7 Access
Students can log in and access course content 24/7, which means they can study when it is most convenient for them. Learners can create a schedule that fits their lifestyle, which makes it easier to manage other commitments, such as work or family.
This flexibility enables the students to focus better on their coursework, leading to better learning outcomes.
Hands-On AI Projects
Practical Application of AI Concepts
Turing.School's AI programming courses emphasize the practical application of AI concepts to create real-world projects. This approach provides students with an opportunity to apply their new skills to real-life scenarios, preparing them for the challenges of the job market. Writing Python programs for popular culture scenarios, such as sorting movies in chronological order or creating a program to aid in fighting against zombies, enhances the learners' understanding of AI programming.
Real-Time Feedback
The school's AI projects are designed to provide learners with real-time feedback, enabling them to learn from their mistakes and make the necessary corrections. Feedback is critical to learning outcomes and helps students understand their progress, identify gaps in their knowledge, and offer guidance on what they need to do to improve. Students benefit from high-quality feedback immediately, leading to higher levels of engagement and better learning outcomes.
Comprehensive AI Curriculum
Python Programming
Turing.School's AI programming courses cover various AI-related topics, including Python programming - one of the most popular and widely used programming languages in AI development. Students learn how to write Python code from scratch, how to debug it, and how to use it in AI applications.
Machine Learning
Machine learning is one of the most crucial aspects of AI programming, and Turing.School offers a comprehensive curriculum on the subject. Students learn how to work with various machine learning models, including regression, clustering, and decision trees, among others. The school's curriculum is constantly evolving, ensuring that students have the most up-to-date skills in this fast-changing field.
Natural Language Processing (NLP)
Natural language processing (NLP) is a subfield of AI that focuses on the interactions between computers and humans. Turing.School's AI programming courses cover NLP basics, including tokenization, stemming, and sentiment analysis, preparing students for AI applications that involve natural language interactions.
One-on-One Mentorship and Career Support
Personalized Mentorship
Turing.School's AI programming courses provide one-on-one mentorship to students, ensuring that they receive a personalized approach to learning. The mentors have a wealth of experience in the field, and their guidance ensures that students have the right approach to tackling real-world AI problems.
Career Support Services
The school offers students career support services, such as CV/Resume review, job interview training, job search tips, and more. Turing.School's alumni network provides students with opportunities to connect with other AI professionals, which can help jumpstart their careers.
Post-Graduation Benefits
Turing.School's alumni network provides students with ongoing support after graduation to ensure continued success in their future careers. Graduates have access to exclusive job opportunities, continued mentorship, and networking events that help them maintain a strong connection to the school and fellow alumni.
Integrations
Turing School's lesson on Continuous Integration emphasizes the importance of releasing changes fast and often while ensuring stability by deploying smaller and complete test changesets. The lesson encourages the use of an automated service to handle these tests and facilitate frequent releases. The most commonly used services are TravisCI, CircleCI, and Jenkins.
Integration with TravisCI
The primary focus of the lesson is to integrate TravisCI and cover the full build process, running tests, and deploying changes to Heroku automatically. Automatic deployments can result in a layer of assurance before pushing any update live making the whole debugging process less stressful.
TravisCI will help users identify errors that they might have missed during local development, such as breaking changes from updated packages. Developers can define settings for different phases of the build lifecycle in TravisCI with a .yml file, TravisCI's 'build recipe.' React applications require a unique configuration, so users must create a new .yml file.
Test Script Set Up
By default, TravisCI test section tries to run npm test in Node.js projects. If no updated scripts for testing exist, create-react-app packages have the required scripts, allowing developers to run npm test for local testing.
Node-based Build
If users face build errors while trying to automatically deploy a build after testing, it means that they are trying to build a Ruby project instead of working with JavaScript, React, or Vue. Referencing this documentation page, the .travis.yml file should receive a Node configuration for the deployment to run correctly.
Automatic Deployment
If a build passes TravisCI, it is good to go to production, and developers can make TravisCI deploy to Heroku automatically. The developer first needs to install the TravisCI command-line tool to generate a Heroku API key.
Then they can generate a deployment API key and append it to the .travis.yml file. After that, add information about the provider and Heroku app name, and the deployment process finishes with the application automatically deployed to Heroku.
Pull Request Reviewing
The same documentation page that handles automatic deployment includes details on how to configure TravisCI to review pull requests before merging.
Badge Application
To apply the badges that showcase whether the latest build passed all TravisCI tests, developers can refer to this documentation page that details adding badges to GitHub repositories.
FAQ
What programs does Turing.School offer?
Turing.School offers a variety of programs for both part-time and full-time students. These programs cover various AI-related topics, including Python programming, machine learning, natural language processing (NLP), and deep learning. The school's curriculum is constantly evolving, accommodating the latest industry advancements to equip students with up-to-date skills.
What makes Turing.School's AI programming courses unique?
Turing.School provides students with hands-on projects, mentorship, and career support services which emphasize on practical application of AI concepts. With programming exercises that include Python programs for popular culture scenarios and an interactive in-browser development environment.
Turing.School's teaching platform includes easy-to-follow instructions and real-time feedback, so that students can gain a better understanding of AI. The online environment, flexible schedules and personalized approach ensures that learners have the skills required to enter and succeed in the field of AI.
What is the duration of the AI programming courses?
The AI programming courses offered by Turing.School are designed to accommodate the different learning speeds and schedules of learners. They offer both short-term and long-term courses, which can take between a few weeks to several months to complete.
What are the admission requirements for Turing.School?
Turing.School's admission requirements vary for each course, and interested individuals must fill out an application form along with a short essay. Turing.School does not require any previous experience or formal education in programming in order to enroll in its courses as the school aims to provide quality, industry-related education in AI programming to ambitious learners, regardless of their background or previous education.
What is the cost of Turing.School's AI programming courses?
The cost of Turing.School's AI programming courses may vary depending on the course taken, length of the course, and student's financial options. However, the school offers alternative payment options, including loans, scholarships, and/or GI Bill funding to cover tuition.
Some students may also be able to obtain funding through the Workforce Innovation Opportunity Act and the U.S. Department of Education's vocational programs. Prospective students are advised to check the official Turing.School website for updated and specific pricing for each course.
