Duration |
Timings |
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(Mon – Sat) 45 Days | 7:00 AM to 8:00 AM |
(Mon – Sat) 45 Days | 7:00 PM to 8:00 PM |

About AI and ML Course
Machine Learning is a subset of AI. It’s a technique that allows machines to learn from data, without being explicitly programmed. This means that instead of telling a machine exactly what to do, we provide it with lots of data and let it learn patterns on its own. For example, if you want a machine to recognize pictures of cats, you’d show it thousands of pictures of cats, and it would learn to identify them.
Why Learn AI and ML?
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High Demand: AI and ML are transforming industries from healthcare to finance, and there’s a huge demand for professionals with these skills.
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Career Opportunities: Learning AI and ML opens doors to exciting career paths as data scientists, AI specialists, and machine learning engineers.
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Real-World Impact: AI is already changing the world around us, and you could be part of creating the next big innovation!
Artificial Intelligence Training
The Artificial Intelligence (AI) training offered by iTrainU Institute is designed to help beginners understand AI in a simple and easy way. This course teaches you how machines can think, learn, and make smart decisions like humans.
You will learn the basics of AI, machine learning, and how to use tools like Python, all through step-by-step lessons. The training includes real-world examples and hands-on practice, so you can build useful projects while learning. Whether you are a student, a working professional, or just someone curious about AI, this course is perfect for you even if you have no coding background.
With friendly trainers, practical lessons, and a certificate on completion, iTrainU helps you get ready for the future of technology and better job opportunities
Upcoming Batch For AI and ML Training
We offer flexible class timings to make learning easier for our students. If our current schedule doesn’t match your availability, just let us know. We will do our best to arrange a class time that fits your personal schedule.
AI and ML Certification
An AI and Machine Learning certification course is a training program that helps you learn how computers can think and make decisions like humans. This course teaches the basics of how machines learn from data, understand patterns, and improve over time.
You will learn topics like supervised learning, deep learning, and working with tools such as Python and popular libraries like TensorFlow. The course includes simple explanations, examples, and hands-on projects to make learning easier.
It is designed for students, working professionals, or anyone who wants to start a career in artificial intelligence or data science. After completing the course, you will have the skills and knowledge to work on real-life AI and machine learning projects and improve your job opportunities in this fast-growing field.

Why Learn Online AI and ML Training With iTrainU?
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AI and ML Training Frequently Asked Questions (FAQ)
Do I need a coding background to learn AI/ML?
Basic programming knowledge (especially Python) is highly recommended. However, some platforms offer no-code or low-code ML training options for beginners.
What is the difference between AI and ML?
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Artificial Intelligence (AI) is a broader concept where machines simulate human intelligence.
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Machine Learning (ML) is a subset of AI that enables machines to learn from data without being explicitly programmed.
Can anyone learn AI ?
Yes! Anyone with the right dedication and resources can learn AI, even without a formal background in computer science. Many people from diverse fields successfully transition into AI.
How long does it take to learn AI and ML?
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Beginner: 3-6 months for foundational concepts (e.g., regression, classification, simple ML algorithms).
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Intermediate: 6-12 months to dive into deeper ML concepts (e.g., deep learning, NLP, reinforcement learning).
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Advanced: 1-2 years to master specialized topics and work on complex projects
Do I need a degree to work in AI/ML?
No, you don’t need a formal degree. Many AI/ML professionals learn through self-study, online courses, and practical projects