Description
Program Objectives
✔ Develop expertise in AI, Machine Learning (ML), and Data Science.
✔ Gain proficiency in Python, R, SQL, and AI frameworks (TensorFlow, PyTorch).
✔ Learn data visualization, statistical modeling, and predictive analytics.
✔ Build real-world AI & data science projects for industry readiness.
✔ Understand ethics, governance, and trends in AI & Big Data.
Course Modules
1. Foundations of AI & Data Science
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Introduction to AI, ML, and Data Science
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Python & R Programming for Data Science
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Mathematics for AI (Linear Algebra, Calculus, Statistics)
2. Data Processing & Analysis
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Data Wrangling with Pandas & NumPy
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SQL for Database Management
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Exploratory Data Analysis (EDA)
3. Machine Learning & Deep Learning
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Supervised & Unsupervised Learning
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Regression, Classification, Clustering
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Neural Networks & Deep Learning (CNN, RNN)
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TensorFlow & PyTorch Implementation
4. Big Data & Cloud Technologies
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Hadoop, Spark, and Big Data Analytics
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Cloud Platforms (AWS, Google Cloud, Azure AI)
5. AI Applications & Advanced Topics
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Natural Language Processing (NLP)
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Computer Vision & Reinforcement Learning
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AI Ethics, Bias, and Responsible AI
6. Capstone Project & Industry Case Studies
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Real-world AI & Data Science project
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Portfolio development for job placements
Career Opportunities
✅ AI Engineer
✅ Data Scientist
✅ Machine Learning Engineer
✅ Business Analyst (AI/Data)
✅ Big Data Analyst
✅ Research Scientist (AI/ML)
Eligibility Criteria
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10+2 (Science/Engineering Background Preferred)
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Basic programming knowledge (Python recommended)
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No prior AI/Data Science experience required
Certification
Upon completion, students receive a Diploma in AI & Data Science with project certifications.
