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2Month/20 Hours Price:45,000
40,000
Introduction to Artificial Intelligence- AI for beginners
In this course we will talk ab"Reshaping not only sectors, but the world."out all that you need to know to get started in the field of AI. You will get familiar with the main approaches and research fields of artificial intelligence. You will know the advantages and disadvantages of AI as well as its possible applications in the future.
The course is split into 5 main sections starting from the history of AI. In this section we cover the basics and the history, next we will go into the present-day applications of AI followed by the topics on the main categories and methods of AI. Lastly, we will speak about the cons and pros as well as the future of AI technology.
What you’ll learn
Learn about the History of AILearn about 4 types of Artificial Intelligence systems
Know what are the characteristics of Artificial Intelligence
Discover the future possiblities of AI technology
Discover 3 Paradigms of AI: Fuzzy Logic, Neural Networks and Genetic Algorithms
Know about conventional and computational types of AI
Course content
Module 1: Introduction to Artificial Intelligence (4 Hours)
Overview of AI: Definition and History
Key Concepts and Terminologies
Types of AI: Narrow AI vs. General AI
Applications of AI in Various Industries
Ethical Considerations in AI
Introduction to AI Programming Languages (Python)
Module 2: Machine Learning Basics (4 Hours)
Introduction to Machine Learning (ML)
Types of ML: Supervised, Unsupervised, Reinforcement Learning
Key Algorithms: Linear Regression, Decision Trees, K-Means Clustering
Data Preprocessing and Cleaning
Feature Engineering
Model Training and Evaluation
Module 3: Deep Learning Fundamentals
Introduction to Neural Networks
Basics of Deep Learning
Key Concepts: Activation Functions, Loss Functions, Backpropagation
Convolutional Neural Networks (CNNs)
Recurrent Neural Networks (RNNs)
Hands-on: Building a Simple Neural Network using TensorFlow/Keras
Module 4: Natural Language Processing (NLP) (
Introduction to NLP
Text Preprocessing Techniques
Basic NLP Algorithms: Sentiment Analysis, Text Classification
Advanced NLP Techniques: Word Embeddings, Sequence Models
Hands-on: Building an NLP Model for Text Classification
Module 5: AI Tools and Platforms :
Overview of Popular AI Tools (TensorFlow, PyTorch, Scikit-learn)
AI as a Service (AIaaS) Platforms (Google AI, AWS AI, Microsoft Azure AI)
Hands-on: Using AIaaS for Quick Prototyping
International student Fee : USD150$
Who this course is for:
- Students studying Computer Science
- Students studying Computer Engineering
- Students studying Mathematics
- People interested in Technology
- People interested in Science
- People interested in Programming
- Professionals in STEM fields
- Programmers
Python Virtual Environments Download
Data Scientist Career
Job Interview Questions
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- Python Job Interview Questions and Answers
- Data Sciences Job Interview Questions and Answers
- Machine Learning Job Interview Questions
Job Interview Preparation (Soft Skills Questions & Answers)
- Tough Open-Ended Job Interview Questions
- What to Wear for Best Job Interview Attire
- Job Interview Question- What are You Passionate About?
- How to Prepare for a Job Promotion Interview
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Flexible Class Options
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