Machine Learning Engineer Courses

The Python Programming short course propels students' careers forward by teaching Python, the world's fastest-growing major programming language. This course enables students to use Python for building web and data science applications. Students will learn Python fundamentals and apply object-oriented programming to enhance opportunities in both data science and web development. Python's rapid growth is due to its versatility and effectiveness across various programming tasks, making this course essential for those looking to expand their technical skill set. .

The Bachelor of Information Technology (Data Science) focuses on imparting foundational principles and hands-on skills in data collection, management, and interpretation across diverse data forms. Students will gain expertise in extracting insights from vast and intricate data sets, encompassing both structured and unstructured data. The curriculum includes studies in database systems, data mining, document scrutiny, artificial intelligence, and machine learning, ensuring a well-rounded understanding of data science disciplines..

The Bachelor of Information Technology (Computer Science) fosters critical thinking and problem-solving capabilities in the realm of computing. Students delve into the theoretical foundations and practical systems prevalent in the industry, acquiring skills in algorithm design, software development, Artificial Intelligence (AI), and computer systems. This course equips graduates with the distinctive competence to conceive and implement computer and software solutions, addressing real-world challenges and potentially ushering in transformative advancements..

The Bachelor of Science (Data Science) offers analytical and computational skills rooted in statistics and computer science, enabling effective data management and interpretation. Students foster critical perspectives on data, grasp essential technical skills, and understand the context of data collection. Advanced studies emphasize multidisciplinary problem-solving, analytical frameworks, and clear communication of results. This course enhances abilities to handle extensive data volumes, visualize findings, and articulate insights to diverse audiences, preparing graduates for innovative roles in various data-centric industries..

The Master of Data Science equips students with the ability to apply analytical methodologies, effectively manage large data sets, grasp foundational statistical and machine-learning concepts, and evaluate and articulate the impact of new technologies. It delves into contemporary data management and analysis tools, including data collection, storage, visualisation, and internet-based applications. The course readies students for an international career amidst the global ascent of data science..