Core Ai

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Batch Name
Core AI
Course Start
1-February-2025
Course duration
90 Hours
Eligibility
8th

Core AI Course

Do Artificial Intelligence Course with CITC – An ISO 9001:2015 certified organisation, associated with NIELIT, MSME & Google.

About Course

Artificial Intelligence courses are designed to provide knowledge in various topics in AI, including machine learning, deep learning, natural language processing, computer vision, robotics, and data analytics.
Artificial Intelligence is a unique career path that can lead you to success. AI itself will need development, maintenance, and sales. Artificial Intelligence courses are therefore going to be a lifesaver in the future.

What You Will Learn?

You will learn the following skills:

Introduction to AI
Python for AI
Machine Learning Basics
Data Processing and Feature Engineering
Supervised Learning Algorithms
Unsupervised Learning Algorithms
Neural Networks Basics
AI Tools and Frameworks

Scope

Following are the few fields students can look at after pursuing this program but work experience and job profile are a must:

Product Manager
AI Engineer
Big Data Engineer
Business Intelligence Developer
Data Scientist
Machine Learning Engineer
Research Scientist
AI Data Analyst

Module 1

Course Papers

Basic AI Course Syllabus

Course Syllabus

Introduction to AI

Definition and History of AI
Applications and Use Cases of AI
AI vs Machine Learning vs Deep Learning
AI Ethics and Responsible AI

Python for AI

Python Basics (Variables, Data Types, Control Structures)
Libraries for AI (NumPy, Pandas, Matplotlib)
Data Preprocessing and Handling Missing Data

Machine Learning Basics

Introduction to Machine Learning
Types of Machine Learning (Supervised, Unsupervised, Reinforcement)
Linear Regression and Logistic Regression
Performance Metrics (Accuracy, Precision, Recall, F1-Score)

Data Processing and Feature Engineering

Data Cleaning and Transformation
Feature Selection and Extraction
Dimensionality Reduction (PCA, t-SNE)

Supervised Learning Algorithms

Decision Trees
Random Forest
Support Vector Machines (SVM)
Naive Bayes Classifier

Unsupervised Learning Algorithms

Clustering Techniques (K-Means, Hierarchical Clustering)
Anomaly Detection
Principal Component Analysis (PCA)

Neural Networks Basics

Introduction to Artificial Neural Networks
Activation Functions
Feedforward and Backpropagation
Loss Functions and Optimizers

AI Tools and Frameworks

Introduction to TensorFlow and PyTorch
Scikit-Learn for Machine Learning
Hands-on AI Model Deployment Basics

Click here to download Core AI Course full Syllabus.

CITC Courses Query

We offer IT courses (Information Technology) that cover a wide range of projects in IT Software, Security, and Operations. IT courses enable students to succeed with better opportunities as IT skills are in demand everywhere.