By the end of the course, students will gain a foundational understanding of artificial intelligence, apply basic machine learning techniques, explore real-world applications, practice prompt engineering with generative AI tools, and develop awareness of recent trends in AI and ML
The course introduces students to the basics of Git, including essential commands, branch management, collaboration through remote repositories, and version control practices.
This course aims to equip students with practical skills to process, store, and analyze big data using modern frameworks and tools. Students will gain hands-on experience in implementing MapReduce programs, working with big data ecosystems such as MongoDB, Pig, Hive, and Spark, and applying machine learning techniques for big data analytics.