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Quick Facts

Medium Of InstructionsMode Of LearningMode Of Delivery
EnglishSelf Study, Virtual ClassroomVideo and Text Based

Courses and Certificate Fees

Certificate AvailabilityCertificate Providing Authority
yesUniversity of Texas, AustinGreat Learning

The Syllabus

Business of AI
  • Introduction to AI
  • Business applications of AI & its limitations
  • ROI calculation
  • Case study
Data Visualization using KNIME
  • What is data?
  • Understanding Visual metrics
  • Visualizing data using KNIME
  • Data manipulation using KNIME

Regression
  • Linear regression
  • Multivariate Linear regression
  • Evaluation metrics
  • Case study with experts
Classification
  • Logistic regression
  • Naive Bayes Algorithm
  • Performance measures
  • Evaluation of models
Building POC for AI projects
  • Conceptualizing an AI product
  • Market potential
  • Product Development Road map
  • Identifying AI use cases

Neural Networks
  • Activation functions
  • Training a Neural network
  • Optimizing a neural network
  • Hands-on using KNIME
Ensemble techniques
  • Decision Trees
  • Ensemble techniques
  • Random Forest
  • Case study session with experts

Clustering
  • K Means clustering
  • Importance of scaling
  • Applications of clustering
  • Hands-on demo
Recommendation systems
  • How recommendations work?
  • Content, Collaborative filtering
  • Hybrid systems
  • Case study session with experts
How to set up AI teams & drive AI culture
  • Service vs Product companies
  • AI team composition
  • Handling resistance from senior management
  • Scaling AI teams

NLP
  • Different tasks in NLP
  • How are NLP problems solved?
  • Case study - Sentiment analysis
  • Applications of NLP - Case study
Computer Vision
  • Types of CV problems
  • Convolution & Pooling
  • Convolutional Neural networks

Transfer Learning, Data Augmentation, Model Deployment
  • Transfer Learning
  • Dealing with Imbalanced data
  • Model monitoring & recalibration

Instructors

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