This comprehensive path is designed to equip aspiring data scientists and AI engineers with the essential skills needed to excel in the field.
It covers foundational concepts such as data science workflows, database management, Python programming, and data structures & algorithms. Students will gain hands-on experience in exploratory data analysis (EDA), statistical methods, and data visualization. The path dives deep into machine learning, covering supervised and unsupervised learning, model evaluation, and hyperparameter tuning.
Additionally, it includes advanced topics like deep learning with neural networks, Natural Language Processing (NLP), and state-of-the-art Large Language Models (LLMs) and Generative AI.
By the end of this course, students will have a strong grasp of AI-driven solutions, preparing them for real-world applications in data science and AI engineering.
Course Includes
- 8 Lessons
