Artificial Intelligence

Curriculum

1. Week 1

   Introduction to Artificial Intelligence

   AI fundamentals, types of AI, intelligent systems, AI applications, problem-solving algorithms, real-world AI use cases and ethical AI.

2. Python for AI

   Python fundamentals, data structures, functions, NumPy, Pandas, data manipulation, data analysis, Jupyter Notebook and working with datasets.

3. Week 2

   Mathematics for AI

   Statistics, probability, descriptive and inferential statistics, mean, median, mode, measures of dispersion, mathematical foundations for machine learning and data interpretation.

4. Introduction to Machine Learning

   ML fundamentals, supervised and unsupervised learning, regression, classification, linear regression, model evaluation using MSE, RMSE and MAPE, and basic predictive modelling.

5. Week 3

   Deep Learning

   Deep learning fundamentals, neural networks, activation functions, CNNs, RNNs, transfer learning, autoencoders, GANs and deep learning applications.

6. Natural Language Processing (NLP)

   NLP fundamentals, text processing, tokenization, POS tagging, Named Entity Recognition, word embeddings, sentiment analysis, text classification and text summarization.

7. Reinforcement Learning

   Reinforcement learning fundamentals, agents and environments, rewards, Q-Learning, Deep Q-Learning, decision-making through interaction and AI game applications.

8. Week 4

   Computer Vision

   Image processing, feature extraction, CNN-based image classification, object detection, image segmentation, facial recognition, transfer learning and computer vision applications.

9. AI in Practice

   Keras, TensorFlow, model training, model evaluation, model optimization, AI projects, real-world AI applications, model deployment concepts and a capstone project.

What you walk away with

• A practical AI project demonstrating machine learning, deep learning and intelligent system development
• Hands-on experience with Python, NumPy, Pandas, TensorFlow, Keras, NLP, computer vision and reinforcement learning
• A polished AI portfolio and GitHub profile showcasing practical projects and industry-ready problem-solving skills