Data Science with AI/ML
Duration – 306 hrs. 6 hrs./day
Modules
Core Programming
- RDBMS using MySQL
- Python Programming & Advanced Python
Data Analytics
- Exploratory Data Analysis with Pandas
AI Specialization
- Machine Learning Fundamentals & Advanced
- ML System Design & Deployment (MLOps)
Advanced AI
- Deep Learning using TensorFlow
- Recurrent Neural Networks (RNN) & LSTM
- Computer Vision with OpenCV
Pre-requisites
- Basic computer and operating system knowledge
- Logical thinking and problem-solving skills
- Familiarity with any programming language is an added advantage
Tools / Software / Frameworks
Advanced AI
- Anaconda Distribution (Jupyter, Spyder, Google Colab, PyCharm)
- MySQL Workbench
Python Libraries
- Pandas, NumPy, Matplotlib, Seaborn
- Scikit-learn, TensorFlow, Keras, PyTorch
- OpenCV
Capstone Projects
- Apply statistical methods to business problems (banking, stock market)
- Predict future flight prices using regression
- Classify customers using classification algorithms
- Cluster banking customers using unsupervised techniques
- Computer vision projects: face recognition, image quality improvement
- Gesture recognition from image and video data
- Gender identification using Streamlit
Take away
- Industry-ready data science and ML skills
- Hands-on experience with MLOps and model deployment
- Advanced AI and deep learning expertise
- Certification – Advanced Diploma in Data Science with AIML
- Placement assistance and interview preparation
