Artificial Intelligence & Machine Learning

Artificial Intelligence & Machine Learning is a comprehensive, project-based course designed for aspiring AI engineers, software developers, and data scientists. Throughout this course, students will learn the fundamentals of Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP), and Generative AI while building practical applications used in today's industry. The curriculum starts with Python programming and data analysis before moving into supervised and unsupervised learning, neural networks, deep learning architectures, and modern AI frameworks. Students will gain hands-on experience using industry-standard tools including Python, NumPy, Pandas, Scikit-Learn, TensorFlow, PyTorch, OpenCV, Hugging Face Transformers, LangChain, and OpenAI APIs. By the end of this course, learners will be able to build intelligent chatbots, recommendation systems, image classification models, sentiment analysis applications, and Generative AI solutions using Large Language Models (LLMs). The course includes: • Interactive learning content • Real-world assignments • Mentor reviews • Practical projects • Industry case studies • Capstone AI project • Certificate of Completion No prior AI experience is required. Basic programming knowledge is recommended.