D.Y. Patil Institute
of Distance Learning (IDL)

With AI & Machine Learning one understands how AI works at a technical level. Manage machine learning and deep learning projects uses Multi-layer Neural Networks and works on deep learning algorithms like convolutional neural networks

Artificial Intelligence refers to the development of computer systems that mimic a human brain and enable them to perform tasks that usually require human intelligence. Machine learning is a specific form of AI that allows computers to learn and grow after they are introduced to scenarios in the form of data. Both of these areas offer promising career opportunities.

With experience, you could move into senior management or start your own Fintech company.

ONLINE ADMISSION FORM

Skills required
Data Scientist

A Data Scientist models and analyses key data to continually improve how businesses utilize data. Data Scientists aim to make accurate predictions about the future using in-depth data modeling and deep learning. The following can be attained by having right knowledge of Programming skills (SAS, R, Python), statistical and mathematical skills, storytelling and data visualization, Hadoop, SQL, machine learning

Job Profile

An Artificial Intelligence & Machine Learning professional, examine which questions need answering and where to find the related data. They have business acumen and analytical skills as well as the ability to mine, clean, and present data. Businesses use them to source, manage, and analyze large amounts of unstructured data. Results are then synthesized and communicated to key stakeholders to drive strategic decision-making in the organization. They are provided with the questions that need answering from an organization and then organize and analyze data to find results that align with high-level business strategy.

Career path and progression

Having taken AI & Machine Learning as a career path, you begin your journey as an analyst or junior researcher and with the right years of experience and skill you can climb up to the position of Senior Data Scientist and Chief Technological Manager and officer of an organization.