This comprehensive course takes you on a structured, hands-on journey into Artificial Intelligence (AI) starting with foundational concepts and moving onto real world applications.
First, learners are introduced to AI, machine learning (ML) and deep learning (DL) and then they learn the basic essentials of Python programming. Next, the course covers important data handling and preprocessing techniques, machine learning fundamentals and model evaluation. Deep learning with TensorFlow/Keras, computer vision using CNNs and NLP techniques such as sentiment analysis and pre trained models like BERT are covered through advanced modules.
It teaches practical deployment skills through Streamlit, Flask and cloud platforms. It also stresses ethics, fairness and responsible AI development. Finally, the course ends with career preparation to prepare learners to build a portfolio, write a good resume and conduct job search strategies to successfully launch an AI career.
