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EIEIO / ARTIFICIAL INTELLIGENCE

Advanced AI in Natural Language Processing (NLP) and Computer Vision (CV)

Course outline

5 days

Duration

5 days

Day 1: Introduction to NLP (8 hours)

Morning Session (4 hours)

  • - Introduction to Python and Text Basics (1 hour)
  • - Working with Text Files and PDFs (1 hour)
  • - Regular Expressions and Pattern Matching (1 hour)
  • - Introduction to NLP and Applications (1 hour)

Afternoon Session (4 hours)

  • - Tokenization and Stemming (1 hour)
  • - Lemmatization and Stop Words (2 hours)
  • - Task 1 (1 hour)

Day 2: Advanced NLP Techniques (8 hours)

Morning Session (4 hours)

  • - Introduction to POS Tagging and NER (1 hour)
  • - POS Tagging and Visualizations (1 hour)
  • - Named Entity Recognition (1 hour)
  • - Text Classification Basics (1 hour)

Afternoon Session (4 hours)

  • - Scikit-Learn and Feature Extraction (1 hour)
  • - Sentiment Analysis Techniques (2 hours)
  • - Task 2 (1 hour)

Day 3: Introduction to Computer Vision (8 hours)

Morning Session (4 hours)

  • - Introduction to CV and Applications (1 hour)
  • - Recent Research in Computer Vision (1 hour)
  • - Digital Image Processing Basics (1 hour)
  • - Image Manipulation with Pillow and OpenCV (1 hour)

Afternoon Session (4 hours)

  • - Pixel Transformations and Histogram Adjustments (2 hours)
  • - Image Classification with KNN (1 hour)
  • - Task 3 (1 hour)

Day 4: Advanced Computer Vision (8 hours)

Morning Session (4 hours)

  • - Support Vector Machines for Image Classification (1 hour)
  • - Neural Networks and Activation Functions (1 hour)
  • - Practical: Image Classification with SVM (2 hours)

Afternoon Session (4 hours)

  • - Linear Classifiers and Logistic Regression (2 hours)

Understanding linear classifiers and gradient descent.

  • - Logistic Regression Training: Gradient Descent, Mini-Batch Gradient Descent (1 hour)

Hands-on implementation of logistic regression.

  • - SoftMax and Multi-class Classification (1 hour)

Day 5: Capstone Project and Presentation (8 hours)

Morning Session (4 hours)

  • - Capstone Project Problem Explanation (1 hour)
  • - Project Development (3 hours)

Afternoon Session (4 hours)

  • - Project Presentation (3 hours)
  • - Course Wrap-Up and Certification (1 hour)

Programme scope, delivery arrangements and suitability are confirmed during enquiry.