Applied AI & Machine Learning (Intermediate)
Take your next leap into the AI world. Learn to build, train, and deploy real Machine Learning models using real-world datasets, mastering how data becomes intelligence that powers today's apps and businesses.
What You'll Learn
ML Algorithms
Master supervised & unsupervised machine learning algorithms for real-world problems
Data Science Pipeline
Data cleaning, visualization, and feature selection techniques
Model Engineering
Train, tune, and evaluate models for optimal performance
Neural Networks
Build deep learning models with TensorFlow & Keras
Model Deployment
Deploy ML models using Flask & Streamlit for production use
Real Projects
Hands-on labs, AI projects, and capstone deployment showcase
Course Outline
ML Foundations Review
Python for ML, NumPy, Pandas, and essential data science libraries
Data Preprocessing & EDA
Data cleaning, exploration, and preparation for machine learning
Supervised Learning Algorithms
Linear regression, decision trees, random forests, and SVM
Unsupervised Learning
Clustering, dimensionality reduction, and pattern discovery
Model Evaluation & Tuning
Cross-validation, hyperparameter tuning, and performance metrics
Neural Networks Basics
Introduction to deep learning and neural network architectures
TensorFlow & Keras
Building and training neural networks with modern frameworks
Computer Vision
Image classification and object detection using deep learning
Natural Language Processing
Text processing, sentiment analysis, and language models
Model Deployment
Creating APIs with Flask and building web apps with Streamlit
MLOps & Production
Model versioning, monitoring, and production best practices
Capstone Project
End-to-end ML project from data to deployment showcase
Who This Course Is For
Foundation Graduates
Learners who completed Python Deep Dive or AI/ML Foundations
Aspiring AI Engineers
Developers aiming for AI or Data Science roles in tech companies
Career Changers
Professionals upskilling for the AI-driven job market
Learning Format
14-16 Weeks
Hybrid sessions with online and campus labs
Multiple ML Projects
Hands-on labs plus final deployment showcase
Expert Certificate
ZPilot Level-4 Applied AI Engineer
Frequently Asked Questions
What prerequisites do I need?
Complete Python Deep Dive or AI/ML Foundations. Strong Python skills required.
Is this different from basic AI courses?
Yes! This focuses on building and deploying production-ready ML models, not just using AI tools.
When does the course start?
Coming February 2026 with our ZPilot Campus Launch. Join the waitlist to secure your spot in our flagship program.
Ready to Build Intelligence?
Don't just use AI — learn to build it. From datasets to decisions — master Machine Learning and become the AI expert every company wants.