AI Classes Near Me

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.

This program offers an in-depth exploration of generative AI, focusing on the creative use of tools like ChatGPT. Students will learn to apply AI in content creation, including generating text and building AI-powered chatbots, making them proficient in cutting-edge technologies. Real-world projects are incorporated to ensure practical, hands-on experience that can be applied across various industries.

This course covers the skills needed to become a Data Analyst or Business Analyst, including data analytics fundamentals, visualization with Tableau, using Python to clean and manipulate data, and how to work with relational databases. One-on-one mentoring is included.

Transform your career with the University of Michigan's AI & Machine Learning Bootcamp, an innovative program powered by Fullstack Academy. Over 26 weeks in a part-time, online format, this bootcamp guides students through the practical and theoretical aspects of AI and machine learning. Using real-world tools, students work on projects that apply AI fundamentals, setting them up for success in current roles or new careers in the rapidly growing field of data and AI technology.

In this data science bootcamp, students will build programming skills and data analysis skills using Python. This course is open to beginners and is meant to get individuals up and running with Python programming and data science to generate insights from data. Topics covered include programming fundamentals, working with data frames, data analysis, data visualization, and statistical analysis. This course offers flexible scheduling options and a free retake for students to refresh the materials.

In this program, participants will learn the key skills and tools needed to succeed as a data analyst, including Excel, SQL, and Tableau. Attendees will learn how to use Excel to create graphs, summarize data with PivotTables, and analyze data. In SQL, attendees will learn the essentials of relational databases, queries, functions, and more. Finally, participants will learn Tableau to create visualizations to express their data. The program is open to beginners and has flexible scheduling options. Tuition includes hands-on training, a free retake, and training manuals for each course.

In this course, students expand their Python programming skills into machine learning and algorithms that can independently learn patterns and make decisions. The course begins with linear and logistic regressions, the most time-tested and reliable tools for approaching a machine learning problem. Students then progress to algorithms with a different theoretical basis, such as k-nearest neighbors, decision trees, and random forest. This will bring important statistical concepts to the forefront, such as bias, variance, and overfitting. Participants also learn how to measure the accuracy of your models, as well as tips for choosing effective features and algorithms.

Learn to problem solve, and effectively communicate, like an analyst. This course teaches you to use industry-standard tools to make ethical, data-driven decisions. Experience hands-on training to master SQL, Excel, Tableau, PowerBI, and Python – tools listed in virtually every data analytics job posting across industries.

In this 8-day intensive Data Analytics bootcamp, students with little to no background in data analytics will learn how to use Microsoft Excel, SQL, and Tableau to summarize, display, and discover key insights hidden in data sets. By the end of this bootcamp, students will be able to use Excel to aggregate and summarize data, sort data with PivotTables, create charts and tables in Excel, use SQL to filter and sort large data sets, use advanced database queries, create visualizations with Tableau, and much more. Students will also be able to reinforce what they learn through the numerous projects they encounter throughout the course. This course also offers a free retake within six months to allow students to revisit any concepts needing to be refreshed and walk away with a much stronger grasp of the material.

Create dashboards and other interactive visualizations with Python and its libraries in this hands-on course. Participants will also learn how to deploy projects online using Heroku server and GitHub.

In the Python for Data Science Masterclass, students learn both foundational and advanced Python programming skills, including data types, control flow, and object-oriented programming. The curriculum covers data science libraries like NumPy and Pandas for data manipulation and Matplotlib and Seaborn for data visualization. The course also covers advanced techniques such as web scraping, database querying, and using APIs.