AI & Machine Learning with Python

Embark on a journey into the exciting world of artificial intelligence with our AI & Machine Learning with Python Program. This program offers a solid introduction to the fundamentals of AI and machine learning, making it ideal for those new to the field.

You'll learn the Python programming, data analysis, and key machine learning concepts, all while working on practical projects that bring theory to life. By the end of this program, you’ll have a strong foundation to continue exploring and advancing in the rapidly growing AI industry.
Don’t settle for less
Invest in your future and join the ranks of our successful alumni at top companies!

Program Format

Live, instructor-led lectures

  • Experience the benefits of live, interactive training led by certified professionals.

  • Collaborate and engage with classmates to enhance your learning experience.
  • Learn in a dynamic and engaging environment.
  • Get your questions answered in real-time. 

Real-world tools

  • Learn in a practical and relevant context, using tools and techniques that are currently being used in the job market.

  • Gain the confidence and experience to excel in your chosen field.

  • Learn by doing, through practical exercises and projects.

  • Apply your knowledge to real-world scenarios.

Earn your place

  • Make sure the program is the right fit for you before committing financially. At the 4-week mark, we’ll mutually evaluate each other to see if we’re a good fit.
  • Showcase your skills and stand out from the competition with our unique grading system. 

Our curriculum

Python

Build a strong foundation in Python, the versatile programming language that serves as the backbone of AI projects.

NumPy

Master NumPy, the powerful library for numerical computing, enabling you to efficiently handle large datasets.

Pandas

Learn how to use Pandas, the go-to library for data manipulation and analysis, allowing you to organize, clean, and process data with ease.

Matplotlib

Gain proficiency in Matplotlib, the essential plotting library, to visualize data and insights through a wide range of charts and graphs.

Plotly

Delve into Plotly, an advanced graphing library, to create interactive and visually appealing data visualizations.

Prompt Engineering

Explore the new field of Prompt Engineering, learning how to craft effective prompts that optimize the performance of AI models.

Scikit-learn

Explore Scikit-learn, the premier machine learning library in Python, to implement algorithms for classification and regression.

Career Coaching

Coaching
Our long-term career coaching program provides students with ongoing support from industry mentors. This ensures a smooth transition into the workforce. Our mentors' real-world experience and guidance provide students with valuable insights and opportunities, as well as answer any questions they may have to help them succeed.
Support
We provide ongoing support and expert guidance through regular check-ins with mentors to help you secure the job of your dreams, even after graduation. We are committed to standing by you until you succeed. You will be matched with an experienced mentor to help prepare you for the job market.

Learning Management System

Our Learning Management System (LMS) offers students a comprehensive learning experience, providing full access to live interactive classes, recorded sessions for flexible review, and the opportunity to engage directly with instructors. Students can also take quizzes, complete assignments, and participate in discussions, ensuring a dynamic and immersive educational journey designed for success.




Schedule

Tuesday
Thursday
Sunday
7pm - 10pm EST
7pm - 10pm EST
7pm - 10pm EST

Pricing

Python Track
Payment Plan
Registration Fee Paid Before 1-Week Free Trial
$50
Monthly Payments for 2 Months*
$400
* No full amount liability, month-to-month
* Registration fee is non-refundable
* 3% Convenience fee will be added to all payments
AI & Machine Learning with Python
Payment Plan
Registration Fee Paid Before 2-Week Free Trial
$50
Monthly Payments for 5 Months*
$560
* No full amount liability, month-to-month
* Registration fee is non-refundable
* 3% Convenience fee will be added to all payments

FAQ

After signing up for one of our programs through an enrollment specialist, you'll be eligible for a free trial—1 week for the Python Track and 2 weeks for the AI & Machine Learning Track. We'll get you set up on all of our learning platforms, and you can start attending live classes right away. During the trial, you'll be able to assess the quality of our education, and we'll assess your academic performance. If you decide not to continue after the trial, you won't owe us any tuition. (Note that the $50 registration fee is non-refundable.) But if you're happy with the program and want to keep going, you'll sign a contract and start making affordable monthly payments.
All our classes are held online, giving you the flexibility to join from anywhere with an internet connection. Our students often find that the online format is even more engaging than in-person classes.
Upon successful registration for our program, you will be granted a 2-week trial period. Before the start of the classes, you will receive a First Day instructions email with a webinar link for orientation. During orientation, we will familiarize you with our learning platforms and guide you through the setup process.
The AI & Machine Learning Track takes the remaining 4 months and covers the fundamentals of AI and machine learning using Python. You’ll learn about key concepts like neural networks, data analysis, and model development with tools such as Scikit-learn, NumPy, Pandas, and Matplotlib. These libraries will help you handle data, perform statistical analysis, and visualize results.

The AI & Machine Learning Track takes the remaining 3 months and covers the fundamentals of AI and machine learning using Python. You’ll learn about key concepts like neural networks, data analysis, and model development with tools such as Scikit-learn and Plotly, while also completing a capstone project that applies these concepts to real-world scenarios.










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