Introduction to Machine Learning and Artificial Intelligence - DeVry University Dual Enrollment Course
Unlock the power of Artificial Intelligence without writing a single line of code. This forward-thinking course teaches students how to use professional-grade no-code platforms to build intelligent systems and solve complex problems. Building the Future of AI Students will dive into the foundations of data science and learn to design and build basic models using industry-leading tools, including: The AI Toolkit: Gain hands-on experience with AWS SageMaker, DataRobot, n8n, and Google AutoML. Data Science Foundations: Understand the logic and data structures that power machine learning. Real-World Applications: Design workflows and models to solve challenges in high-impact fields like Finance, Healthcare, and Marketing. Required Prerequisites Due to the advanced nature of this material, students must complete Algebra for College Students prior to taking this course. The DeVry Advantage Through our exclusive partnership with DeVry University, students who successfully complete this course will earn 3 college-level course credit hours. How Dual Enrollment Works Getting started is a simple three-step process: Reserve Your Spot Pay the deposit today to secure your seat. Your card will be automatically charged the remaining balance in 30 days. Complete Enrollment Paperwork First-time DeVry students will receive enrollment documents and a scheduling link for the mandatory placement test immediately after purchase. Take the Placement Test Your student has one week to complete the test. Note: If your student does not pass the placement test, your payment will be fully refunded within 7 business days. By paying your deposit, you agree to the Terms of Service of DeVry University (as available on their website) and consent to Time4Learning sharing your information with DeVry to complete enrollment and related communications.
Variants (1)
- Default Title — 600.00 USD — In stock
AI Readiness
Good foundation, but some important product data is still missing.