Structured Learning Paths

Your Journey to AI Mastery

Choose your path based on your background and goals. Each roadmap is designed to take you from where you are to where you want to be in AI.

Beginner
4.9 (5200 students)
Complete AI Beginner
Perfect for absolute beginners with no programming experience
6-8 months4 phases
1

Foundation

4-6 weeks
Courses:
  • Python Basics
  • Math for AI
  • Programming Fundamentals
Skills Gained:
Python
Basic Math
Problem Solving
2

AI Concepts

6-8 weeks
Courses:
  • AI Fundamentals
  • Introduction to ML
  • Data Science Basics
Skills Gained:
AI Understanding
Data Analysis
Critical Thinking
3

Hands-on Practice

8-10 weeks
Courses:
  • First ML Project
  • Data Visualization
  • Model Building
Skills Gained:
Project Building
Data Viz
Model Training
4

Specialization

6-8 weeks
Courses:
  • Choose: Computer Vision OR NLP OR Recommendation Systems
Skills Gained:
Specialized AI
Advanced Projects
Portfolio
Intermediate
4.8 (3800 students)
Python Developer to AI Engineer
For developers who know Python and want to transition to AI
4-5 months4 phases
1

AI & ML Foundations

3-4 weeks
Courses:
  • AI Fundamentals
  • Statistics for ML
  • Data Science Libraries
Skills Gained:
AI Concepts
Statistics
NumPy/Pandas
2

Machine Learning

6-8 weeks
Courses:
  • ML Algorithms
  • Model Training
  • Feature Engineering
Skills Gained:
ML Algorithms
Model Building
Data Preprocessing
3

Deep Learning

6-8 weeks
Courses:
  • Neural Networks
  • TensorFlow/PyTorch
  • CNN & RNN
Skills Gained:
Deep Learning
Neural Networks
Frameworks
4

Production & Deployment

4-6 weeks
Courses:
  • MLOps
  • Model Deployment
  • API Development
Skills Gained:
MLOps
Deployment
Production AI
Intermediate
4.7 (2100 students)
AI Product Manager
For product managers wanting to lead AI-powered products
3-4 months4 phases
1

AI Business Understanding

2-3 weeks
Courses:
  • AI for Business
  • AI Use Cases
  • ROI of AI Projects
Skills Gained:
AI Strategy
Business Cases
ROI Analysis
2

Technical Foundations

4-5 weeks
Courses:
  • AI Fundamentals
  • ML Concepts
  • Data Requirements
Skills Gained:
Technical Understanding
Data Strategy
ML Concepts
3

Product Development

6-8 weeks
Courses:
  • AI Product Design
  • User Research for AI
  • Ethics & Bias
Skills Gained:
Product Design
User Research
AI Ethics
4

Team & Execution

4-6 weeks
Courses:
  • Managing AI Teams
  • Project Management
  • Stakeholder Communication
Skills Gained:
Team Management
Communication
Project Execution
Advanced
4.9 (890 students)
AI Research & Innovation
For those interested in cutting-edge AI research and development
8-12 months4 phases
1

Advanced Mathematics

6-8 weeks
Courses:
  • Linear Algebra
  • Calculus
  • Probability & Statistics
Skills Gained:
Advanced Math
Statistical Analysis
Mathematical Modeling
2

Deep Learning Mastery

10-12 weeks
Courses:
  • Advanced Neural Networks
  • Transformers
  • GANs
  • Reinforcement Learning
Skills Gained:
Advanced DL
State-of-art Models
Research Methods
3

Research Methods

8-10 weeks
Courses:
  • Research Methodology
  • Paper Reading
  • Experiment Design
Skills Gained:
Research Skills
Academic Writing
Peer Review
4

Innovation Projects

12-16 weeks
Courses:
  • Original Research Project
  • Publication Process
  • Conference Presentations
Skills Gained:
Original Research
Publications
Presentations