Course Overview
This specialisation integrates core computer science with advanced subjects like machine learning, neural networks, NLP, deep learning, and predictive analytics. Students work with real datasets and tools used in AI-driven industries.
Course Objectives
- To develop strong foundations in AI, ML, and data science.
- To train students to design intelligent systems and algorithms.
- To provide hands-on exposure through datasets, labs, and hackathons.
- To prepare graduates for roles in emerging AI-driven industries.
Learning Outcomes
Graduates will be able to
- Build and train ML and deep learning models.
- Analyze data to extract patterns and generate insights.
- Deploy AI solutions in applications like robotics, healthcare, and automation.
- Use cloud platforms and big data tools for real-time implementation.
- Innovate using AI-ML techniques to solve complex challenges.
