Data Science with AI

This comprehensive Data Science & AI program is designed to equip learners with end-to-end knowledge and hands-on skills across 30 structured modules. Beginning with foundational concepts in data science, Python programming, and key libraries like NumPy, Pandas, Matplotlib, and Seaborn, the course delves into statistical analysis, data visualization, and exploratory data analysis. It covers core machine learning techniques, including supervised and unsupervised learning, feature engineering, model tuning, and evaluation. Advanced modules introduce deep learning with TensorFlow and Keras, NLP using Hugging Face Transformers, generative AI, reinforcement learning, and time series forecasting. The course also explores big data handling with PySpark, cloud deployment on AWS SageMaker, building ETL pipelines, and SQL for data manipulation. Ethical considerations in AI, version control with Git, and career readiness are integrated throughout. Practical experience is emphasized through real-time projects like predictive maintenance, image classification, chatbot development, and a capstone recommendation system. The program concludes with certification preparation for AWS ML Specialty and TensorFlow Developer, ensuring participants are industry-ready for high-demand roles in data science and AI.