A comprehensive, industry-oriented program that introduces students to the core concepts, tools, and workflows in Artificial Intelligence and Data Science. This course covers the complete pipeline from data collection and preprocessing to machine learning, deep learning, and real-world deployment, with a special focus on practical applications in education, media, business, healthcare, and emerging technologies.
During the program, learners will get hands-on experience in Python programming, data analysis, machine learning models, neural networks, computer vision, and generative AI tools. By the end of the course, students will work on real-time mini projects and pursue a 1-month industrial internship at EdutecniciaPvt. Ltd., enabling them to become industry-ready AI & Data Science professionals.
Course Module
INTRODUCTION TO ARTIFICIAL INTELLIGENCE & DATA SCIENCE
- What is AI, Machine Learning, and Data Science
- Real-world applications
- AI ethics and responsible AI
PYTHON PROGRAMMING FOR AI
- Basics of Python
- Data types, functions, loops, and file handling
- Working with Jupyter Notebook
DATA HANDLING & DATA VISUALIZATION
- Working with CSV/Excel/JSON data
- Using libraries like NumPy and Pandas
- Data cleaning, preprocessing, and exploratory data analysis
- Data Visualizing data using Matplotlib/Plotly
STATISTICS & FOUNDATIONS OF MACHINE LEARNING
- Basic statistics for data science
- Supervised vs. unsupervised learning
- Linear regression, classification, clustering – concepts and practice
MACHINE LEARNING ALGORITHMS IN PRACTICE
- Building ML models in Scikit-learn
- Model training, testing, and evaluation (accuracy, precision, recall, etc.)
- Hyperparameter tuning and model improvement
INTRODUCTION TO DEEP LEARNING & NEURAL NETWORKS
- Basics of neural networks
- Introduction to frameworks (TensorFlow / PyTorch – conceptual and demo level)
- Simple image and text-based models
GEN AI FOR MEDIA, CONTENT & CREATIVE INDUSTRY
- Using AI tools for script support, content ideation, and automation
- Introduction to generative AI (text, image, and video tools)
- Case studies: AI in newsrooms, digital media, and post-production
PROJECT DEVELOPMENT & MINI PROJECTS
- Problem identification and dataset selection
- Building an end-to-end AI/Data Science project
- Documentation and presentation skills
CAREER READINESS & PORTFOLIO BUILDING
- Preparing a project portfolio
- Basics of Git/GitHub and LinkedIn for showcasing work
- Orientation towards careers and freelance opportunities in AI & Data Science
ADVANCED WORKSHOPS & INTERNSHIP
- Students will undergo a 1-month industrial internship at Edutecnicia Pvt. Ltd., where they will:
- Work on live or simulated AI/Data Science projects
- Get exposure to industry workflows and collaborative development
- Interact with AI practitioners, engineers, and mentors
