AI/ML – Mastery Certification Program

Python for Data Science

• Write clean, efficient Python code
• Manipulate and analyze data using NumPy and Pandas
• Visualize data using Matplotlib and Seaborn

Core Machine Learning (Conventional ML)

• Understand supervised and unsupervised learning algorithms
• Build models using regression, decision trees, k-NN, and clustering
• Evaluate performance using confusion matrix, precision, recall, and ROC-AUC

Advanced Machine Learning

• Apply feature selection, cross-validation, and hyperparameter tuning
• Implement ensemble models like Random Forest, AdaBoost, and XGBoost
• Build robust and scalable ML pipelines

Computer Vision

• Process and interpret image data using OpenCV
• Build image classifiers using Convolutional Neural Networks (CNNs)
• Apply transfer learning for face detection and object recognition

Natural Language Processing + LLM with RAG

• Clean and preprocess textual data
• Use transformer models for classification, Q&A, and summarization
• Implement Retrieval-Augmented Generation (RAG) with your own data using LangChain or Hugging Face

Model Deployment

• Convert ML models into APIs using Flask or FastAPI
• Build interactive web apps with Streamlit or Gradio
• Deploy models using Docker, Hugging Face Spaces, or cloud platforms

Real-World Projects & Capstones

• Apply AI/ML to business problems across domains
• Create deployable projects for your portfolio
• Practice interview questions and resume-ready model documentation