About Course

Artificial Intelligence Course in Tirunelveli

Choosing a career in Artificial Intelligence is a smart move for the future.AI professionals are valued for problem-solving and innovation, with high earning potential.Join Jaz Academy – the best Artificial Course in Tirunelveli Mastering AI.

Course Features

40+ Hours of Instructor-Led Training
3–5 Hands-On Projects (AI-Based Applications)
20+ Hours of Practical Coding and Exercises
80+ Hours of Applied Learning
Flexible Training Schedules (Weekdays/Weekends)
Placement Assistance & Career Mentorship
Access to AI Tools and Frameworks (TensorFlow, PyTorch, etc.)
Industry-Recognized Certification Preparation
Real-Time Datasets for Training AI Models
Lifetime Access to Course Material and Recordings
24/7 Support for Queries and Technical Help
Capstone Project with Real-World Application
Dedicated Doubt-Clearing Sessions
Collaboration with Industry Experts
AI Model Deployment Training

Key Skills:

Foundational Knowledge in AI
Machine Learning Algorithms
Deep Learning Techniques
Natural Language Processing (NLP)
Computer Vision
Data Preprocessing and Feature Engineering
Model Evaluation and Optimization
Programming Proficiency (Python, R, etc.)
Working with AI Frameworks (TensorFlow, PyTorch, etc.)
Big Data and Cloud Computing for AI
AI Ethics and Bias Awareness
Problem-Solving and Analytical Thinking
Project Deployment and Management
Understanding AI in Industry Applications
Team Collaboration and Communication

Advantages in Jaz Academy

Professional Trainer from IT Industry.
Dedicated Support Team for Training and Development.
Practical Training Program includes Hand On Project Session.

Course Content

Introduction to Artificial Intelligence

What is Artificial Intelligence (AI)?
History and Evolution of AI.
Types of AI: Narrow AI, General AI, Superintelligent AI.
Key Applications of AI: Healthcare, Finance, Autonomous Vehicles, etc.
Ethical Implications and Challenges in AI.

Mathematics and Statistics for AI

Python for AI

Machine Learning Foundations

Neural Networks and Deep Learning

Natural Language Processing (NLP)

Computer Vision

AI for Big Data

Advanced AI Topics

AI Tools and Frameworks

Capstone Project

Student Ratings & Reviews

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About Course

Artificial Intelligence Course in Tirunelveli

Course Features

Key Skills:

Advantages in Jaz Academy

Course Content

Introduction to Artificial Intelligence

What is Artificial Intelligence (AI)?

History and Evolution of AI.

Types of AI: Narrow AI, General AI, Superintelligent AI.

Key Applications of AI: Healthcare, Finance, Autonomous Vehicles, etc.

Ethical Implications and Challenges in AI.

Mathematics and Statistics for AI

Linear Algebra

Calculus for Optimization

Probability and Statistics

Graph Theory Basics.

Python for AI

Setting up Python Environment.

Libraries for AI

Working with Data

Machine Learning Foundations

Supervised Learning

Unsupervised Learning

Reinforcement Learning Basics.

Evaluation Metrics: Accuracy, Precision, Recall, F1 Score.

Neural Networks and Deep Learning

Understanding Neural Networks:

Building Deep Learning Models with TensorFlow/Keras.

Convolutional Neural Networks (CNNs) for Image Recognition.

Recurrent Neural Networks (RNNs) and LSTMs for Sequential Data.

Hyperparameter Tuning and Optimization.

Natural Language Processing (NLP)

Text Preprocessing:

Sentiment Analysis.

Chatbot Development.

Advanced Techniques:

Computer Vision

Image Preprocessing and Augmentation.

Object Detection and Recognition.

Transfer Learning for Computer Vision.

Real-Time Applications (e.g., Facial Recognition).

AI for Big Data

Working with Large Datasets.

Distributed Computing: Spark for AI.

Data Pipelines and ETL Processes.

Integration with Cloud Platforms (AWS, GCP, Azure).

Advanced AI Topics

Reinforcement Learning with Deep Q-Learning.

Generative Adversarial Networks (GANs).

Explainable AI (XAI).

Ethical AI and Bias Mitigation Techniques.

AI Tools and Frameworks

Introduction to AI Platforms:

Deployment of AI Models using Flask, Django, or FastAPI.

Introduction to MLOps.

Capstone Project

Real-world AI project:

Student Ratings & Reviews