This Certificate Program in Artificial Intelligence & Machine Learning has been developed by industry experts to help you learn the applications of AI and ML from
CERTIFICATION IN ARTIFICIAL INTELLIGENCE & MACHINE LEARNING
CERTIFICATION IN ARTIFICIAL INTELLIGENCE & MACHINE LEARNING
COURSE DESCRIPTION (Course Type - Certificate)
This Certificate Program In Artificial Intelligence & Machine Learning Has Been Developed By Industry Experts To Help You Learn The Applications Of AI And ML From Scratch And Build Powerful Models To Generate Useful Business Insights And Predictions. It Has Been Designed For Fresh Graduates And Working Professionals Looking To Build Their Career In Data Science & ML.
[Note: The Program Comes In Two Formats: Weekday Format For Fresh Graduates And Weekend Format For Working Professionals.]
COURSE LEARNING
Upon Completion Of This Course, You Will Be Able To:
MODULE 1 - PYTHON PROGRAMMING
Introduction To Programming And Python Data Types | Operators |Expressions | Conditionals | Loops | Functions | Recursion | OOPS Concepts Data Structures | Numpy | Pandas | Error Handling | Scikit-Learn Library
MODULE 2 - SUPERVISED LEARNING AND DISCRIMINATIVE MODELS
Introduction To Supervised Learning And Performance Analysis | Logistics Regression | K-NN | Data Balancing Techniques And Applications | Classification And Regression Trees | Decision Trees And Random Forest | Support Vector Machines (SVM)
MODULE 3 - UNSUPERVISED LEARNING, GENERATIVE MODELS AND PATTERN DISCOVERY
Introduction To Unsupervised Learning Clustering | K-Means Clustering | Hierarchical Agglomerative Clustering And DBSCAN
MODULE 4 - DEEP LEARNING
Introduction To Deep Neural Network
Convolutional Neural Network | Implementation Of Convolutional Neural Network (ConvNet/CNN) | Architectures ConvNet/CNN And Demonstration
MODULE 5 - NATURAL LANGUAGE PROCESSING & NLTK
What Is NLP? | Typical NLP Tasks | Sentence Segmentation & Tokenization | Stemming, Lemmatization | Part Of Speech – POS | Named Entity Recognition (NER) | Parsing, Chunking | Stop Words Removal (English) | Corpora/Corpus | Context Window – Bi-Gram, N-Gram | Applications Of NLP | Introduction To The NLTK Library | Processing Raw Text | Regular Expression | Normalizing Text | Processing Raw Text – Tokenize Sentences | String Processing With Regular Expression | Normalizing Text | Extracting Features From Text | Bag-Of-Words(BoW), TF-IDF | Naïve Bayes Classifier
Course Project
- TEXT CLASSIFICATION
- IMAGE CLASSIFICATION
- HOUSE PRICE PREDICTION
Course Duration And Learning Pattern
Duration Of Certificate – 6 Week
Classes’ Distribution – 50% Theory Classes And 50% Implementation
Key Highlights
- Assignments Students Will Receive Timely Assignment Related With Course Topics.
- Discussions Apart From Classes You Will Get An Extra Session For Topic Discussion.
- Quizzes Topic Quizzes For Learning With Fun.
- Group Requirements/Group Projects Apart From Session Project You Can Work On Group Projects Also.
- Attendance Policy 85%
- Instructor Feedback One Can Directly Report About The Feedback Of Instructor.