Certified Professional in Data Science

1. Develop the ability to solve business problems using deep learning and machine learning.
2. Understand data– data gathering, data exploration, data manipulation and data visualization.
3. Understand data engineering– demystifying semi-structured/unstructured data, big data framework, cloud architecture.
4. Perform data analysis using advanced statistical techniques
5. Understand functional aspects of Data Science
6. Recognize analytics applications in various business verticals

Certified Professional in Data Science

1. Analytical models can be used to identify and characterise complicated business challenges.
2. Use proper analytical methods to solve business problems and attain specified goals.
3. Convert the outcomes of business analytics projects into effective action plans.
4. Demonstrate ethical decision-making in structured or unstructured settings that are uncertain.
5. Technical information should be communicated to both technical and non-technical audiences using speech, writing, and graphics.
6. Demonstrate effective teamwork and leadership abilities.

Certified Professional Program in Artificial Intelligence

1. Learn how to apply Modern Artificial Intelligence on different business verticals
2. Understand underneath mechanics of computer vision (CV), Speech Analytics & Natural Language Processing (NLP)
3. Learn & Build Deep Neural Networks Family of Algorithms and apply on AI concepts
4. Use state-of-the-art Object Detection Models, Image Segmentation
5. Build programs on optimized CPU & GPU software and AI toolkits from Intel Software Stack
6. Build Application on real time problem statements using AI concepts