Pricing
Plans & Pricing
Select a plan that suits your learning journey.
Starter
Get access to basic tutorials and community support
Start with no cost using our introductory modules to explore AI fundamentals through compact, instructor-led tutorials.
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Basic AI Practitioner
Core Skills and Guided Demos
Dive into structured lessons on machine learning workflows and complete two real-world guided projects under expert supervision.
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Pro AI Engineer
Advanced Techniques and Capstone
Master advanced deep learning methods, deploy models in production settings, and lead a capstone project with personalized feedback.
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Choose Your AI Learning Path
Flexible plans designed for hands-on experience, from beginner explorations to professional-grade project delivery.
Starter
- Access to introductory AI tutorials
- Community forum participation
- Sample datasets and code snippets
- Weekly live Q&A sessions
Basic AI Practitioner
- Full access to core ML courses
- Two guided real-world projects
- Monthly mentor check-ins
- Certificate of completion
Pro AI Engineer
- Everything in Basic
- Advanced deep learning modules
- Capstone project with review
- Priority mentor support
Why Hands-On AI Experience Matters
Rather than abstract theory, our courses immerse you in practical tasks guided by industry practitioners. You’ll develop intuition for model behavior, data handling, and deployment workflows by working on concrete assignments and harnessing real datasets.
Did You Know?
Projects built in guided environments increase retention of AI concepts by over 60% compared to lecture-only formats, helping you internalize best practices faster.
Each lesson integrates code templates, data exploration exercises, and incremental goals so that you achieve steady progress. By the end of a module, you’ll have a polished project ready for your bag.
Enroll today and advance your AI journey with structured, real-world learning.
Course Structure Overview
Our curriculum is divided into progressive phases, ensuring you build strong foundations before tackling complex applications. Each phase includes video lessons, hands-on tasks, peer discussions, and mentor reviews.
Foundations of AI
Understand core concepts in data processing, supervised and unsupervised learning algorithms, and evaluation metrics.
Applied Machine Learning
Work through real datasets to train models, optimize performance, and interpret results with guided notebooks.
Production and Deployment
Learn to package models with APIs, deploy to cloud environments, and monitor performance in live scenarios.
