St Claret College

B.B.A. with Artificial Intelligence and Machine Learning

Artificial Intelligence and machine Learning (AI&ML) is a new, emerging field which consists of a set of tools and techniques used to extract useful information from data. AI&ML is a fast growing discipline and is full of rigorous practical analysis. The demand for undergraduates in AI and ML has industry required skills and demand in the Global market over the last few years. Artificial Intelligence and Machine Learning is also in line demand with computer science. Machine learning is an established research discipline. However, recent advances have increased the impact on many areas of society, science, medicine, and everyday life.AI with ML is in demand in the robotics applications, space technology, industry 4.0 and many more. AI and ML delivers modern computational systems that demonstrate capabilities of perception, reasoning, learning and action that are typical of human intelligence.

Realizing the growing demand of AI and ML in the present world with manifold increase in career opportunities, St. Claret College, in association with RUBIXE Pvt. Ltd., Bengaluru offers a three-year programme (200 hours) titled as Certification Course in AI and ML along with B.B.A. programme. At the successful completion of the programme, the students will be certified by NASSCOM/IABAC.

The following is the syllabus of the Certification Course in AI and ML programme Think Ahead Innovations Pvt. Ltd., offers at SCC.

Semester I	Semester II
Python	Statistics
Installation of Anaconda Introduction to jupyter notebook Python objects,Data Type, Type casting Python Operators, Conditional Statement, Data Structures Loop Statements, Functions Numpy Pandas Visualization - Seaborn Application of Python in ML Assignments, Assessments & Mentoring	Statistics Introduction, Applications, Types of Statistics, Basic terminologies, Types of Data Sampling, Types of Sampling, Cochran's Formula, Sampling Error Measures of Central Tendency, Measure of Spread,Normal Distribution & Properties, Python Implementation Types of HT, Basic Terminologies in HT Introduction and application to ML 2 AI used cases Assignments, Assessments & Mentoring
Semester III	Semester IV
Machine Learning - I	Machine Learning - II
Introduction to ML Linear Regression (MV,Outlier) Logistic Regression (Scaling) SVM (Cross Validation, Categorical Micro Projects Naïve Bayes (Balancing the data) Assignments, Assessments, Mentoring & Micro Projects	Clustering KNN Decision Tree (Hyperparameter tuning) Bagging, Random Forest Boosting Introduction to AI 1 AI Used cases Mentoring (2 sessions) Assignments, Assessments, Mentoring & Micro Projects
Semester V	Semester VI
Artificial Intelligence	Projects
AI overview Computer Vision 1 Computer Vision 2 - Object Detection Natural Language Processing Mentoring Assignments, Assessments, Mentoring & Micro Projects	How to understand and work on real life AI projects 2 AI Projects, paper submission and mentoring

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B.B.A. with Artificial Intelligence and Machine Learning

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