Artificial Intelligence Training Course

Course Overview

• Course Duration:1.5 Months (Including Lab Work, Internship, and real-world assignment).
• Modes of Training: Online Classes/Offline Training (at selected centers).
• Projects:Available – Real-world AI applications and projects.

Artificial Intelligence (AI) – Professional Training Course

• Understand AI fundamentals, types, and real-world applications.
• Learn Python programming for AI and data-driven problem-solving.
• Explore Machine Learning algorithms — regression, classification, and clustering.
• Build Neural Networks and Deep Learning models using TensorFlow and Keras.
• Implement Natural Language Processing (NLP) and Computer Vision projects.
• Prepare for AI credential preparation Exams and professional AI developer roles.

Overview of Artificial Intelligence (AI) Course

The Artificial Intelligence (AI) Training Course is designed for learners, developers, and professionals aiming to master AI technologies and applications. It covers AI concepts, hands-on coding, and hands-on implementation using Python and advanced AI libraries, providing you with the specialized technical expertise needed to advance your career in the modern digital era.

Through interactive projects, learners will build intelligent systems such as chatbots, image classifiers, and predictive models. By the end of this course, you'll be ready to earn an AI credential preparation and apply your skills to automation, data science, and next-gen software solutions.

1. Introduction to AI

• History and applications.
• AI vs Human Intelligence.

2. Machine Learning Basics

• Supervised, Unsupervised Learning.
• Regression and Classification.
• Model evaluation and selection.

3. Deep Learning and Neural Networks

• Introduction to Deep Learning.
• Neural Networks, CNNs, and RNNs.
• Real-time DL applications.

4. Natural Language Processing

• Chatbots and Conversational AI.
• Building Smart Applications.

7. Final Project & Internship

• Building Smart Applications.
• Beginner to advanced AI modules.
• Hands-on with Python and ML libraries.
• Real-life projects in NLP, CV, and Deep Learning.
• Step-by-step model building and deployment.
• Interview preparation and resume assistance.
• Machine Learning Engineer.
• Computer Vision Specialist.
• Master core AI concepts and advanced machine learning through real-world case studies, hands-on tools, and expert guidance.
• Design and build intelligent systems such as recommendation engines, chatbots, fraud detection models, and predictive analytics tools.
• Work with real datasets and challenges to gain career-ready skills and prepare for in-demand AI roles across sectors.
• Execute a full AI pipeline from data gathering to model deployment and final presentation, simulating a real business use-case.