Our 700-hour NASSCOM Certified Full Stack Data Science course encompasses a wide array of topics, including Machine Learning (ML), Deep Learning (DL), Reinforcement Learning (RL), Artificial Intelligence (AI), Natural Language Processing (NLP), Computer Vision (CV), and Generative AI (Gen AI). This comprehensive curriculum ensures that participants gain in-depth knowledge and hands-on experience across various domains within the field of data science. The ML component delves into algorithms and techniques for pattern recognition and predictive modeling, while DL explores neural networks and advanced deep learning architectures. RL focuses on learning optimal decision-making strategies through interactions with an environment, enhancing participants’ skills in decision science. AI concepts cover a broad spectrum of topics, including problem-solving, intelligent agents, and ethical considerations in AI applications. NLP equips participants with the tools and techniques to analyze and understand human language, while CV enables them to work with visual data and image recognition systems. Lastly, the Gen AI segment introduces participants to generative models and creative AI applications, fostering innovation and creativity in their data science endeavors. By covering these diverse areas, our course ensures that participants develop a holistic understanding of full-stack data science and are well-equipped to tackle complex challenges in the field.