AI Bootcamps CT

In this comprehensive data science program, individuals will learn a variety of critical skills to become a data scientist. Students will learn to code with Python, create machine learning models, automate tasks like web scraping, and interact with databases using SQL. Topics include data analysis with Python's Numpy and Pandas packages, data visualization, predictive analytics, machine learning, SQL querying, Python automation, and web scraping. Students will learn hands-on by working in Python and SQL and will complete the program with the skills they need to enter the field of data science. This program offers flexible scheduling and provides a free retake for students to refresh the material.

Develop AI-powered web apps in this advanced Python course, where you'll use Flask and the OpenAI API to create dynamic sentiment analysis applications. Gain essential skills in web development, error handling, and deployment, taking your Python projects to a professional level with real-world AI integration.

Master the fundamentals of AI and data science in this certificate program, designed to provide hands-on experience with key tools like Python, SQL, and machine learning algorithms. Whether you're starting fresh or enhancing your skill set, this course prepares you for a successful career in data-driven decision-making.

Dive into the world of generative AI with Noble Desktop's introductory course on ChatGPT. Explore the limitless possibilities of artificial intelligence as you learn to harness ChatGPT's innovative technology to generate text, ideas, and solutions across various domains. Gain practical insights and hands-on experience in crafting prompts and exploring real-world applications, empowering you to leverage the creative potential of AI for your projects and endeavors.

The AI for Business Bootcamp focuses on leveraging generative AI tools for various business applications. Participants learn how to create effective prompts, automate tasks, and analyze data, enhancing productivity and team collaboration. The course includes hands-on projects and case studies to apply AI in areas such as content creation and project management.

This 72-week Machine Learning program was designed to teach students the skills they need to launch careers in the fields of computer science, software engineering, and machine learning. This program is split into six trimesters and covers a wide range of computer science and machine learning tools and concepts. The first three trimesters focus on computer science and software engineering, with a focus on Linux, data structures, algorithms, various programming languages, databases, and more. The final three trimesters are very math-heavy, and focus on computer vision, natural language processing, autonomous driving, working with Pandas, Numpy, Tensorflow, and more. Throughout the program, students will also learn important soft skills to enhance their job readiness, with an emphasis around technical writing, collaboration, whiteboarding, as well as the opportunity to participate in mock interviews.

This 36-week Foundations of Computer Science and Software Engineering program was designed to teach students the skills they need to launch careers in the fields of computer science and software engineering. This program is split into trimesters and covers a wide range of computer science and programming tools and concepts, including how to work in C and Unix programming, understanding data structures and algorithms, an introduction to higher-level languages like Python, database management and working with SQL, front-end programming, web scraping with JavaScript, and more. Throughout the program, students will also learn important soft skills to enhance their job readiness, with an emphasis around technical writing, collaboration, whiteboarding, as well as the opportunity to participate in mock interviews.

This 72-week Full-stack Web Development program was designed to teach students the skills they need to launch careers in the fields of computer science, software engineering, and full-stack web development. This program is split into six trimesters and covers a wide range of computer science and web development tools and concepts. The first three trimesters focus on computer science and software engineering, with a focus on Linux, data structures, algorithms, various programming languages, databases, and more. The final three trimesters are focused on full-stack web development, and dive deep into JavaScript, Python, React, Redis, MySQL, best practices for user authentication, responsive web design, and more. Throughout the program, students will also learn important soft skills to enhance their job readiness, with an emphasis around technical writing, collaboration, whiteboarding, as well as the opportunity to participate in mock interviews.