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.
Weeks
Sessions
Certificate
Deployed
Apply machine learning techniques to real datasets, build predictive models, and solve practical business problems.
Master supervised & unsupervised machine learning algorithms for real-world problems
Data cleaning, visualization, and feature selection techniques
Train, tune, and evaluate models for optimal performance
Build deep learning models with TensorFlow & Keras
Deploy ML models using Flask & Streamlit for production use
Hands-on labs, AI projects, and capstone deployment showcase
Python for ML, NumPy, Pandas, and essential data science libraries
Data cleaning, exploration, and preparation for machine learning
Linear regression, decision trees, random forests, and SVM
Clustering, dimensionality reduction, and pattern discovery
Cross-validation, hyperparameter tuning, and performance metrics
Introduction to deep learning and neural network architectures
Building and training neural networks with modern frameworks
Image classification and object detection using deep learning
Text processing, sentiment analysis, and language models
Creating APIs with Flask and building web apps with Streamlit
Model versioning, monitoring, and production best practices
End-to-end ML project from data to deployment showcase
Tailored for applying machine learning techniques to real datasets and practical problem-solving scenarios.
Learners who completed Python Deep Dive or AI/ML Foundations
Developers aiming for AI or Data Science roles in tech companies
Professionals upskilling for the AI-driven job market
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