"The ML path gave me a strong project structure."
KS
Kriti Sharma
ML Engineer
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AI and Machine Learning Mastery
Learn Python for data science, machine learning, deep learning, computer vision, NLP, generative AI, and deployment basics.
10 modules
16 weeks
Intermediate
AI & Data
AI/ML Mastery
7,200+
Students enrolled
10 modules
Course modules
16 weeks
Estimated duration
Intermediate
Level
What You Will Learn
Skills you will master
Build job-ready skills through a structured, step-by-step curriculum designed by working professionals.
Python for data science
Machine learning with scikit-learn
Deep learning with TensorFlow
Natural language processing
Computer vision with OpenCV
MLOps and model deployment
Curriculum
Course Modules
A structured learning path — 10 modules across 16 weeks. Expand each module to see what you will learn.
Use NumPy, Pandas, and visualization tools for data workflows.
Regression, classification, clustering, and model evaluation.
Feature engineering, pipelines, tuning, and validation.
Neural networks, CNNs, training loops, and model optimization.
Text processing, transformers, image classification, and detection basics.
Model serving, versioning, Docker, and cloud deployment basics.
Student Feedback
Loved by learners
"The NLP and deployment lessons were very useful."
DP
Dev Patel
Data Scientist
"The computer vision module gave me practical project ideas."
AK
Ayesha Khan
Computer Vision Engineer
FAQ
Common Questions
Everything you need to know about this free course.
Basic math helps. The course introduces the needed concepts along the way.
NumPy, Pandas, scikit-learn, TensorFlow, PyTorch, and OpenCV are referenced.
Yes. The learning path is based on practical data projects.
Free Course
Start with AI/ML today.
Use this free path to build fundamentals, then move into a guided Portfolio Builders career program when you are ready.