In this tutorial we are going to start learning Artificial Intelligence, if you are a student any learning enthusiast, read this page carefully and start your new and thrilling learning venture in Artificial Intelligence.
How should I Start Learning AI ?
To be clear in the beginning, Artificial Intelligence is not just about Coding, It does involve programming but that’s not the point. Let’s cover this topic of How to start learning AI in two parts.
AI for Students ( Grade 6 to 12 ) and for Learners from college or other.
AI for Students
Learning Artificial Intelligence for students does mean, creating a base first with concepts of Artificial Intelligence like Project Cycle, Understanding Domains of AI Etc.
We classified this on the basis of your grade, Let’s head on to it.
Class 10 AI Syllabus
| 1. | Introduction to Artificial Intelligence | Open the Page |
| 2. | Human vs Artificial Intelligence | Open the Page |
| 3. | What is Artificial intelligence and What not? | Open the Page |
| 4. | AI Related Terminologies | Open the Page |
| 5. | AI, Ml, and DL | Open the Page |
| 6. | Domains of AI (Data, CV & NLP) | Open the Page |
| 7. | Applications of AI | Open the Page |
| 8. | Ethics in Artificial Intelligence | Open the Page |
| 9. | AI Project Cycle | Open the Page |
ADVANCE PYTHON | Open Python Page | |
| 1. | Jupyter Notebook | Open the Page |
| 2. | Virtual Environments | Open the Page |
| 3. | Python and Its Applications | Open the Page |
| 4. | Python Statements and Comments | Open the Page |
| 5. | Keywords And Identifiers | Open the Page |
| 6. | Variables in Python | Open the Page |
| 7. | Python Datatypes | Open the Page |
| 8. | Python Inputs | Open the Page |
| 9. | Python Operators | Open the Page |
| 10. | Python Conditional Statements | Open the Page |
| 11. | Loops In Python | Open the Page |
| 12. | Python Packages | Open the Page |
DATA SCIENCE | ||
| 1. | Introduction to Data Science | Open the Page |
| 2. | Applications of Data Science | Open the Page |
| 3. | Data Collection and Data Access | Open the Page |
| 4. | Python for Data Science | Open the Page |
| 5. | Statistical Learning | Open the Page |
| 6. | Personality Prediction | Open the Page |
| 7. | Understanding K-Neighbour Model | Open the Page |
ADVANCE DOMAINS OF AI | ||
| 1. | Computer Vision | Open the Page |
| 2. | Open CV | Open the Page |
| 3. | Convolution | Open the Page |
| 4. | Natural Language Processing | Open the Page |
| 5. | Evaluation and Its Methods | Open the Page |
Class 9 AI Syllabus
| 1. | What is Artificial Intelligence? | Open the Page |
| 2. | Ethics in Artificial Intelligence | Open the Page |
| 3. | Goals of Artificial Intelligence | Open the Page |
| 4. | AI in Education ( Integration of AI ) | Open the Page |
| 5. | Applications of AI | Open the Page |
| 6. | History of Artificial Intelligence | Open the Page |
DOMAINS OF AI | ||
| 1. | What is Domains of AI | Open the Page |
| 2. | Data – Audio, Video, Text, Big Data | Open the Page |
| 3. | Computer Vision – Face Recognition, CIBR, and Smart Interaction | Open the Page |
| 4. | Natural Language Processing (NLP) – NLU and NLC | Open the Page |
PROJECT CYCLE | ||
| 1. | What is Artificial Intelligence Project Cycle | Open the Page |
| 2. | First Stage Problem Scoping | Open the Page |
| 3. | Stage two Data Acquisition | Open the Page |
| 4. | Third Stage Data Exploration | Open the Page |
| 5. | Fourth Stage Modelling the Environment of AI | Open the Page |
| 6. | Final Stage – Evaluation | Open the Page |
| 7. | Neural Networks | Open the Page |
INTRODUCTION TO PYTHON | ||
| 1. | Python and Applications | Open the Page |
| 2. | Compiler, Interpreter and IDE | Open the Page |
| 3. | How print() works in Python | Open the Page |
| 4. | Comments In Python | Open the Page |
| 5. | Variables In Python | Open the Page |
| 6. | DATA Types In Python | Open the Page |
| 7. | Types of Operators in Python | Open the Page |
| 8. | Statements And Expressions For Pythons | Open the Page |
| 9. | Pythons Inbuilt Function Input | Open the Page |