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AI and ML Course Training

About AI and ML Course

At iTrainU Institute, our AI ML course is designed for anyone who wants to understand how intelligent systems work in the real world. From basics to advanced concepts, this course helps you learn how machines think, learn, and make decisions using data. You’ll explore Machine Learning, Artificial Intelligence, Python, data analysis, and practical AI applications with step-by-step guidance from experienced trainers.

This AI ML course focuses strongly on hands-on learning. You won’t just learn theory you’ll work on real projects, practice with industry-used tools, and gain experience with Python libraries like NumPy, Pandas, and Machine Learning models. The training is structured in a way that even beginners can follow easily, while still being valuable for working professionals.

To make learning flexible, iTrainU offers live online and classroom sessions, along with recorded classes for revision. Weekend and weekday batches are available to fit your schedule. By the end of this AI ML course, you’ll have the confidence, skills, and practical exposure needed to move towards roles like Machine Learning Engineer, AI Engineer, or Data Scientist.

Why Learn AI and ML?

High Industry Demand:
Artificial Intelligence and Machine Learning are transforming industries such as healthcare, finance, retail, and IT. Organizations are actively seeking skilled professionals who can work with AI-driven technologies and data-based decision systems.

Career Growth Opportunities:
By learning AI and ML at our institute, students can build strong career paths in roles such as Data Scientist, AI Engineer, Machine Learning Engineer, and Analytics Professional across top companies.

Real-World Learning & Impact:
AI is already shaping the future of technology and business. Our training focuses on practical, real-world applications, enabling students to contribute to innovative projects and become part of the next wave of digital transformation.

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

Details

Duration :

8 Months

Class Hours :

2 hour/day

Lab Practice:

 1 hour/day

Certificate :

After completion of training

Study Material :

Online

Online Test :

Yes

Project :

 Yes

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Syllabus of AI and ML Course Training

Python For AI/ML

  • Introduction to python Programming
  • Syntax, Variables, Data Types, Input/output
  • Conditionals. Loops, Functions
  • Lists, tuples Set and Dictionaries
  • Probability Concepts, Aundions

Machine Learning

  • Linear Algebra
  • Statistics
  • Probability

Core Machine Learning

  • Regression
  • Decision Trees
  • Clustering
  • Model Evaluation

Real World ML Projects

  • 2 Full ML Projects
  • Feature Engineering
  • Real World datasets and Mini team Presentation

Deep Learning With Tensorflow/ Keras

  • Intro to Deep Learning and Perceptron’s
  • Building ANNs With Keras
  • CNN for Image Classification
  • RNN for text Classification (LSTM, GRU)
  • DL Projects: Image or Text based Model

Capstone Projects

  • Project Planning
  • Model Development
  • Testing & Evaluation
  • Final Presentation

Placement & Portfolio Prep

  • Project Planning
  • Model Development
  • Testing & Evaluation
  • Final Presentation

Advanced AL Add-ons

  • Prompt Engineering and ChatGPT Tools
  • LangChain and Vector Databases
  • Basic of LLM fine tuning (open source models)
  • Computer Vision with OpenCV
  • NLP with Hugging Face Transformers
  • MLOps & Model Deployment (Gradio / Streamlit)

Upcoming Batch For AI and ML Training

We are providing both online and offline AI and Machine Learning training. If you are interested in learning AI and ML Course, you can choose the mode that suits you best online or in-person.

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.

Duration

(Mon – Sat) 8 Month

Timings

7:00 AM to 8:00 AM | 7:00 PM to 8:00 PM

AI & ML Training

Online AI and ML Training Benefit

AI and ML Classroom Training

  • Live Training Sessions
  • Doubt Clearing Session
  • Job Assistance
  • Weekly Assignment will be given
  • Exam Preparation
  • Recorded Session Access for 6 Months
  • Training Certification that Accepted in globally
  • Live Demo Session
  • 2Hrs Daily Classes
  • Excellent Classroom Infrastructure
  • Doubt Clearing Session
  • Weekly Assignment Task
  • Delivered by Working Professionals
  • Training Certification that Accepted in globally

AI and ML Certification

An AI and ML Certification course helps you understand how computers learn from data and make smart decisions like humans.

With an AI and ML Certification, you will learn the basics of Artificial Intelligence and Machine Learning, including how machines recognize patterns, learn from experience, and improve over time. The course covers important topics such as supervised learning, deep learning, and practical tools like Python and TensorFlow.

The AI and ML Certification is suitable for students, freshers, and working professionals who want to build a career in AI, Machine Learning, or Data Science.

After completing the AI and ML Certification, you will gain practical skills to work on real-world AI and ML projects and improve your career opportunities in this fast-growing technology field.

Why Learn Online AI and ML Training With iTrainU?

Expert Mentorship

The complete AI and Machine Learning training course is led by highly experienced instructors who guide you step by step, making it easy to understand even for beginners.

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Work on Real Projects

These hands-on projects are designed to give you experience with real-world data, allowing you to apply various AI and ML tools and techniques.

Highly Engaging Live Classes

The AI and Machine Learning training program is designed to be engaging and learner-friendly, where you’re encouraged to interact freely with the instructors.

Latest Curriculum

To make it one of the best AI and Machine Learning training courses, we ensure that the entire course curriculum is structured according to the latest trends and industry demands.

Job Assistance

After successfully completing the AI and Machine Learning training course, you will have the skills and practical experience needed to confidently step into the job market.

AI and ML Certification

The AI and Machine Learning certification course is offered in both online and offline modes, giving you the freedom to learn from anywhere or attend in person based on your convenience.

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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.

  • Artificial Intelligence (AI) is a broader concept where machines simulate human intelligence.

  • Machine Learning (ML) is a subset of AI that enables machines to learn from data without being explicitly programmed.

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.

 
  • Beginner: 3-6 months for foundational concepts (e.g., regression, classification, simple ML algorithms).

  • Intermediate: 6-12 months to dive into deeper ML concepts (e.g., deep learning, NLP, reinforcement learning).

  • Advanced: 1-2 years to master specialized topics and work on complex projects

No, you don’t need a formal degree. Many AI/ML professionals learn through self-study, online courses, and practical projects

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Have a project in mind or need expert advice? We’re here to help. Reach out to us and let’s talk about how we can take your business to the next level.

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