Masterclass e-Certificate in Artificial Intelligence.

• Introduction to Machine Learning (ML)

• Supervised, Unsupervised, and Reinforcement Learning

• Regression and Classification Algorithms

• Evaluation Metrics for ML Models

• Hands-on Session: Implementing a Simple ML Model

• Introduction to Neural Networks

• Perceptron and Multi-Layer Perceptron (MLP)

• Activation Functions and Backpropagation

• Convolutional Neural Networks (CNNs)

• Recurrent Neural Networks (RNNs) and LSTMs

• Hands-on Session: Building a Neural Network with TensorFlow/Keras

• Introduction to NLP and Text Processing

• Tokenization, Stemming, and Lemmatization

• Word Embeddings (Word2Vec, GloVe, BERT)

• Sentiment Analysis and Text Classification

• Hands-on Session: Implementing NLP Tasks with Python

• Introduction to Computer Vision

• Image Processing Techniques

• Feature Extraction and Object Detection

• CNNs for Image Classification

• Hands-on Session: Implementing Computer Vision with OpenCV

• AI in Healthcare, Finance, and Autonomous Systems

• AI in IoT and Edge Computing

• AI in Robotics

• Case Studies and Industry Trends

• Hands-on Session: AI Project Development

• Bias and Fairness in AI

• AI Regulations and Governance

• The Future of AI and Emerging Technologies

• Career Opportunities in AI

• Final Project Showcase and Discussion

• Weekly Quizzes and Assignments

• Mini Project Based on AI Applications

• Final Assessment and Certification of Completion

• Python, NumPy, Pandas, Scikit-learn

• TensorFlow/Keras, PyTorch

• OpenCV for Computer Vision

• NLTK, spaCy for NLP