The demand for AI and machine learning skills has never been higher. From generative AI tools reshaping creative industries to predictive models driving healthcare decisions, there's an urgent need for practitioners who understand not just how to use these tools — but how to build and evaluate them responsibly.
Today, we're proud to officially launch the AI & Machine Learning Track at Everest Skills Academy. This is our most ambitious curriculum to date.
What's in the Track
The track consists of 12 structured courses spanning beginner to advanced levels:
- Python for Data Science (Foundations)
- Statistics & Probability for ML
- Supervised Learning with scikit-learn
- Deep Learning with PyTorch
- Natural Language Processing in Practice
- Computer Vision with OpenCV & YOLO
- Building & Deploying ML Pipelines
- Responsible AI & Ethics
- 4 more specialized electives
Industry Mentors & Live Sessions
Every student enrolled in the track gets access to monthly live Q&A sessions with working ML engineers. Office hours are recorded and made available to all track students within 24 hours.
"We didn't just want to teach Python syntax and library calls. We wanted to create practitioners who can frame problems, choose the right model, evaluate it honestly, and communicate results to non-technical stakeholders." — Everest Curriculum Team
The Capstone Project
The track culminates in a capstone project where students work with a real-world dataset to build and deploy a machine learning solution. Successful capstone submissions earn a verifiable certificate shareable on LinkedIn.
Pricing & Enrollment
Students who enroll in the full track in the first 30 days receive a 40% early-bird discount and lifetime access to all future updates. Head to the Courses page to explore the full syllabus and enroll today.