• Career Opportunities : AI and ML skills are in high demand across various industries, i ncluding technology, finance, healthcare, retail, manufacturing, and more. By acquiring expertise in these areas, you can unlock diverse career opportunities and command higher salaries.
• Future-Proofing : As AI and ML continue to advance, they are expected to play an increasingly prominent role in shaping the future of technology and society. By investing in learning these technologies now, you can future-proof your skill set and stay ahead in a rapidly evolving job market.

This Course and Certification in Artificial Intelligence (AI) and Machine Learning (ML) typically implies that an individual has a good understanding of key concepts and techniques in the field. While the depth of expertise may be limited compared to more advanced certifications or degrees, there are still several entry-level roles available to individuals with this certification.

Understanding of the fundamentals of programming, including arrays, matrices, functions, sorting, searching, pointers and knowledge of basic programming concepts such as object-oriented programming, classes and methods, polymorphism, in heritance and standard libraries.

Artificial Intelligence curriculum is created and taught by Adamas University Faculty who are experts in the field of AI ensuring world class content. Learning is through live sessions conducted by the faculty. The course has been designed to suit students coming from various backgrounds. Reading materials will be provided. Students missing a class can easily access the recordings of the missed sessions. Ascend Learning courses are job oriented, and provide students with professional skills and practical know-how for the chosen fields of work.

Comprehensive coverage of both Artificial Intelligence (AI) and Machine Learning (ML) concepts. Emphasis on practical applications. In-depth coverage of mathematical foundations essential for understanding AI & ML algorithms. Hands-on programming experience using Python and popular libraries like NumPy, Pandas, and Matplotlib. Exploration of ethical considerations and societal implications of AI/ML technology.