Artificial Intelligence
(Machine Learning / Deep Learning)
(Machine Learning / Deep Learning)
Dive into the world of AI, covering a wide spectrum of topics including Machine Learning, Deep Learning, Data Science, and more.
Duration 10 Weeks Available Sessions Thursday, Saturday Class Timings Class 1: 2:00 PM - 4:00 PM Class 2: 4:30 PM - 6:30 PM Seats Available 30
Course Outline
- Introduction of Artificial Intelligence
- Machine Learning and Deep Learning
- Data Science
- Setting up Environments
- Installation of Anaconda, PyCharm, Jupyter Notebook, Google Colab
- Python Basics
- Variables, Operators, Execution of Hello World Program
- Conditional Statements
- Control structures (IF, IF ELSE, ELIF, Nested IF)
- Loops
- Working of For Loop, While Loop, Nested Loop
- Modular Programming
- Function Creation, Calling, Developing Programs using Functions
- String Handling
- Data Types, List, Tuple, Dictionary Manipulation
- OOP Basics
- Introduction to Object-Oriented Programming
- Introduction to NumPy Library
- Array Creation, Indexing, Slicing, Array Operations, Sorting
- Introduction to Pandas Library
- Series & Data Frame, Input & Output, Data Selection, Data Preprocessing
- Data Visualization
- Matplotlib Installation, Creating & Customizing Plots, Types of Plots
- Introduction to Machine Learning
- Supervised, Unsupervised, Semi-Supervised, Reinforcement Learning
- Supervised Learning (Part 1)
- Regression, Classification, Model Evaluation Metrics
- Unsupervised Learning
- Clustering, K-Means, Hierarchical Clustering
- Introduction to Time Series Analysis
- ARIMA Model for Time Series
- Introduction to Deep Learning (I-IV)
- Neuron, Perceptron, Neural Network, CNN, RNN, LSTM, GRU, ANN
- Soft Skills & Entrepreneurship
- Effective Communication, Leadership, Time Management, Emotional Intelligence
- Introduction to Entrepreneurship, Business Planning, Funding, Launching & Scaling