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Machine Learning & Deep Learning Professional Program

Build intelligent models and solve real problems with our Machine Learning course in Kolkata. It’s a deep learning professional program designed to help you learn and develop Data Preparation, Machine Learning, Python, Computer Vision, Neural Networks, NLP, and basic model deployment through expert-guided practicals and projects.

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  • 129+
Students Enrolled
Duration 3 Months
Level Beginner to Advanced
Mode Online / Offline / Hybrid
Format Practical + Live Projects
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Begin your Machine Learning training in Kolkata for a fruitful career in AI and ML

Trusted by Leading Platforms

Webskitters Academy aligns its Machine Learning training standards with globally recognized institutions and platforms.

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Why Webskitters Academy?

Why Webskitters Academy for Machine Learning & Deep Learning Professional Program?

Because our Machine Learning Course Training ensures a thorough learning experience that includes practical training, hands-on labs, and industry-focused projects.

Webskitters Academy creates an opportunity to learn within a real-world IT ecosystem. We are the learning and development division of Webskitters, successfully bridging the gap between academic learning and industry requirements. Every student enrolled in our ML DL course in Kolkata experiences instructor-led training through guided projects, hands-on labs, and a final capstone.

Build job-ready practical skills across Machine Learning, Deep Learning, and Applied AI while developing a GitHub project portfolio.

  • Online/Offline/Hybrid
  • 96 Hours Guided Learning
  • 3-Month Duration
  • 65-70% Hands-On Learning
  • Foundation to Intermediate Level
  • 4 Guided Projects + 1 Capstone
Why Webskitters Academy? Why Webskitters Academy?

Knowing Python Isn’t Enough. Learners Need to Develop Real Machine Learning Skills

Challenges ML Learners Face

  • Knowing Python but struggling with ML applications
  • Encountering limited Deep Learning exposure
  • Lacking Computer Vision and NLP experience
  • Having little model deployment exposure
  • Struggling with feature engineering
  • Lacking experience with datasets

Our Machine Learning & Deep Learning Professional Program Can Help You

  • Develop regression and classification models
  • Perform feature engineering and optimization
  • Build Introductory NLP solutions
  • Understand modern AI and transformer fundamentals
  • Understand Neural Networks and Deep Learning
  • Develop CNN-based Computer Vision solutions
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Who Should Join Our Machine Learning Course?

Bridge Gaps Between Knowing AI and Building AI

Whether it’s the beginning of your AI journey, your shift from analytics towards Machine Learning, or developing a practical foundation in ML/DL, our artificial intelligence and machine learning course is designed to provide structured learning through hands-on projects and practice, ensuring you become capable of achieving all your goals.

Engineering and Computer Science Students

Build a set of practical skills for Machine Learning and Deep Learning alongside your academic foundation.

Fresh Graduates

Develop a strong foundation in Machine Learning and Deep Learning and build portfolio projects.

B.Tech / B.E. / BCA / MCA / B.Sc. / M.Sc. Learners

Build AI/ML skills through Python, hands-on learning, projects, and algorithms.

Data Analytics Learners

Move from Data Analytics to Machine Learning and go deeper into learning practical model-building skills.

Python Developers

Hone your Python skills in Deep Learning, Machine Learning, NLP, and Computer Vision.

Software Developers

Learn how ML and DL can be applied to real-world solutions.

Working Professionals

Build practical ML/DL skills and enhance your technical capabilities.

Technical Career Switchers

Gain basic programming knowledge and develop a strong foundation in Machine Learning and Deep Learning.

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What Will You Build After Completing This Program?

  • Data preprocessing workflows
  • Basic model deployment applications
  • CNN-based image classification systems
  • Feature engineering pipelines
  • Business performance reports
  • GitHub project portfolios
  • NLP and text classification solutions
  • Practical ML/DL projects
  • Clustering solutions
  • Neural Network and Deep Learning models
  • Regression and classification models
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Structured Machine Learning and Deep Learning: The Roadmap

Recognized as one of the best Machine Learning course providers in Kolkata, Webskitters Academy combines hands-on learning, industry-standard tools, and business case studies to help you become job-ready in Machine Learning. We offer a structured learning journey that progresses from data foundations and Python to ML/DL.

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Python and Data Foundations

  • Mathematics and statistics
  • Data preparation

  • Python for Machine Learning

  • NumPy and Pandas

02

Machine Learning Fundamentals

  • Regression and classification
  • Model evaluation

  • ML workflow

  • Unsupervised learning

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Model Optimization and Feature Engineering

  • Feature transformation

  • Feature selection

  • Hyperparameter tuning

  • Cross-validation

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Neural Networks and Deep Learning

  • Backpropagation

  • Deep learning frameworks

  • Neural networks

  • Model optimization

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Computer Vision and NLP

  • Text preprocessing

  • RNN/LSTM overview

  • CNN

  • Image classification

06

Applied AI and Model Deployment

  • Pretrained models

  • Basic API development

  • Transformer fundamentals

  • Simple model deployment

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Industry Products and Capstone

  • Computer Vision project

  • NLP project

  • Guided ML/DL projects

  • Final industry capstone

Tools & Technologies You’ll Master in this Machine Learning & Deep Learning Professional Program

Our machine learning course in Kolkata offers more than just understanding algorithms. It helps you explore and learn practical ML/DL concepts and industry-relevant tools, so you are well-prepared to support business decisions.

Programming
  • Python

Visualization
  • Matplotlib

Data Handling
  • NumPy

  • Pandas

Machine Learning
  • Scikit-learn

Computer Vision
  • OpenCV

NLP / Modern AI
  • Hugging Face

Deep Learning
  • PyTorch

  • TensorFlow/Keras

Version Control
  • Git

  • GitHub

Development
  • Jupyter Notebook

  • VS Code

API/Deployment
  • Streamlit

  • FastAPI

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Comprehensive Machine Learning Curriculum Aligned with the Industry

Learn Python refresher, Pandas, arrays, NumPy, data manipulation, DataFrames, functions, visualization, and Jupyter workflows to develop and strengthen a Python foundation for Machine Learning and data handling.

Leverage the opportunity to discover and learn about missing values, duplicates, outliers, data cleaning, scaling, categorical encoding, visualization, data preparation, and EDA (Exploratory Data Analysis).

Explore and learn linear multiple regression, polynomial concepts, linear regression, regularization, and evaluation using MSE, RMSE, MAE, and R².

Learn K-Means, DBSCAN overview, PCA, clustering evaluation, hierarchical clustering concepts, and practical use cases.

From median, mean, variance, and probability to vectors, matrices, distributions, and gradient intuition, learn all the mathematics and statistics required for Machine Learning.

Learn AI vs. ML vs. DL, ML types, train-validation-test workflows, features and labels, underfitting, and overfitting

Work with KNN, decision trees, logistic regression, SVM, random forest, and Naive Bayes, followed by learning recall, F1-score, precision, ROC-AUC, and confusion matrices.

From feature selection, class imbalance, transformation, and cross-validation to GridSearch/ RandomizedSearch, hyperparameter tuning, and model comparison, this module covers everything for you to learn about the ins and outs of feature engineering and model optimization.

Learn Python refresher, Pandas, arrays, NumPy, data manipulation, DataFrames, functions, visualization, and Jupyter workflows to develop and strengthen a Python foundation for Machine Learning and data handling.

From median, mean, variance, and probability to vectors, matrices, distributions, and gradient intuition, learn all the mathematics and statistics required for Machine Learning.

Leverage the opportunity to discover and learn about missing values, duplicates, outliers, data cleaning, scaling, categorical encoding, visualization, data preparation, and EDA (Exploratory Data Analysis).

Learn AI vs. ML vs. DL, ML types, train-validation-test workflows, features and labels, underfitting, and overfitting

Explore and learn linear multiple regression, polynomial concepts, linear regression, regularization, and evaluation using MSE, RMSE, MAE, and R².

Work with KNN, decision trees, logistic regression, SVM, random forest, and Naive Bayes, followed by learning recall, F1-score, precision, ROC-AUC, and confusion matrices.

Learn K-Means, DBSCAN overview, PCA, clustering evaluation, hierarchical clustering concepts, and practical use cases.

From feature selection, class imbalance, transformation, and cross-validation to GridSearch/ RandomizedSearch, hyperparameter tuning, and model comparison, this module covers everything for you to learn about the ins and outs of feature engineering and model optimization.

Where Can This Course Take You?

Entry Level

  • AI/ML Developer

  • AI Developer

  • Machine Learning Intern / Trainee

  • Junior Machine Learning Engineer

  • Data Science / ML Intern

Intermediate

  • Machine Learning Engineer

  • AI/ML Engineer

  • Data Scientist

  • Computer Vision Engineer

  • NLP Engineer

Average Salary Estimates

Salaries may vary depending on experience, technical skills, industry, and location.

  • INDIA

    ₹6L - ₹10L / Year

  • USA

    $51.5K - $78.5K / Year

  • UK

    £33K – £39K / Year

  • CAN

    $59K – C$96K / Year

  • AUS

    A$95K – A$120K

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Become Industry-Ready with Webskitters Academy

  • GitHub portfolio development
  • Technical assessments
  • Guided practical projects
  • Project presentation
  • Industry-focused ML/DL learning
  • Practical Computer Vision and NLP experience
  • Placement assistance
  • Mock interviews
  • Resume-building support
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Choose The Learning Path That Fits Your Career Goals

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Invest In Your AI Future

Master Machine Learning & Deep Learning with Industry-Focused Training

Gain practical expertise in Python, Machine Learning algorithms, Neural Networks, Computer Vision, NLP, and AI model deployment through hands-on projects and expert-led training.

₹24,900 ₹34,900
EMI Available
96 Hours Live Training
15 Curriculum Modules
 No Cost EMI Available
Online • Offline • Hybrid
Beginner to Advanced
Certificate Included
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Course Reviews

Read what our students say about their experience with us. We are really proud of creating a learning environment that helps people. Our goal is to support individuals in achieving their career goals through education and practical help.

5★★★★★
I find all machine learning concepts easy to understand. Working with Python, data preparation, and different algorithms has helped me understand how to correctly solve real-world problems.
5★★★★★
The course doesn’t stop at Python and data handling. It moves beyond – towards model training and evaluation – and creates a structured learning path that simplifies what the machine learning workflow looks like.
5★★★★★
It was very easy for me to understand neural networks and deep learning frameworks. Their introductions were particularly simple, yet highly useful.
5★★★★★
I have explored computer vision and image classification and properly understood how deep learning can be applied beyond theory. The project part has made my learning experience even better.
5★★★★★
I have had a really in-depth learning experience, especially with the fundamentals of natural language processing and text classification. These concepts have actually helped me understand how AI systems work with language.
5★★★★★
The capstone project is comprehensively designed and presented. It covers several topics, from data preparation to model evaluation. It has been a useful opportunity for me to practice the complete workflow and organize project work for a portfolio.
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Frequently Asked Questions

Do I need coding experience to join a Machine Learning and Deep Learning course?
Basic Python knowledge is required. Learners without sufficient programming experience can complete a Python Foundation or Bridge Program before starting.
What is the difference between Machine Learning and Deep Learning?
Machine Learning uses algorithms to identify patterns and make predictions from data. Deep Learning is a subset of Machine Learning that uses multi-layered neural networks for complex tasks such as image recognition and natural language processing.
Will I work on real-world projects during the program?
Yes. The program includes four guided projects and an industry-oriented capstone covering tasks such as prediction, classification, computer vision, and text analysis.
Which programming languages and frameworks will I learn?
You will work primarily with Python and tools such as NumPy, Pandas, Scikit-learn, TensorFlow/Keras or PyTorch, OpenCV, and introductory Hugging Face tools.
Can I join this course if I have no prior experience in AI or Machine Learning?
Yes. The program progresses from foundational concepts to intermediate Machine Learning and Deep Learning applications. However, basic Python programming knowledge is necessary.
Will I learn how to deploy Machine Learning models?
Yes. You will learn model serialization, inference workflows, basic API development, and introductory deployment using tools such as FastAPI or Streamlit.
Will I receive a certificate after completing the program?
Certification is provided according to Webskitters Academy’s certification policy and applicable course-completion requirements.
Can this program help me prepare for an entry-level AI or Machine Learning role?
The program helps you build foundational technical skills, practical project experience, and a GitHub portfolio relevant to entry-level roles. Employment outcomes depend on your existing qualifications, technical proficiency, project quality, and employer requirements.

What Students are Saying

This AI & ML course gave me a solid understanding of artificial intelligence, from basic concepts to practical applications. The lessons were well organized, and the hands-on sessions helped me see how machine learning models are built and tested. I now feel much more comfortable working with Python and data. It has been a great first step toward my career in AI.

Ankita Ghosh

Kolkata

What stood out to me was the balance between theory and practice. The program covered key topics like supervised and unsupervised learning, neural networks, and model evaluation in a simple and structured way. The guided projects helped me apply each concept instead of just memorizing it. I would recommend this course to anyone starting out in AI and machine learning.

Debasish Roy

Kolkata

I joined this course with limited knowledge of AI, and the step-by-step teaching approach made learning much easier. The practical exercises and real-world examples helped me understand how AI is used across different industries. Working on projects also improved my confidence in solving problems with data. It has given me a clear path to explore opportunities in this field.

Ritika Sen

Kolkata

The AI & ML Course provides a strong foundation in both core concepts and practical skills. I particularly liked the sessions on data preprocessing, building machine learning models, and understanding how AI systems make predictions. The mentors explained complex topics in a clear and approachable way. Overall, it is a valuable program for anyone who wants to build a career in artificial intelligence.

Subhajit Dutta

Assam

I found this course very helpful for understanding how artificial intelligence and machine learning work in real-world scenarios. The mix of Python coding, algorithms, and project-based learning made the content engaging and easy to follow. The hands-on approach helped me apply my knowledge with confidence. This program has strengthened my skills and motivated me to pursue further learning in AI.

Moumita Bhattacharya

Kolkata

Our Students Are Placed in Reputed Firms

“We have had the privilege of hiring the best-trained candidates from Webskitters Academy. They were brilliant in technical expertise. The work process they followed, their core knowledge and the corporate ethics are exclusively what we expected. Thank you, Webskitters Academy, for offering such candidates our way.”

Payal Chatterjee

HR Executive

“We are happy with the quality of training that the Webskitters Academy students have received. Few of them have been on-board with us recently and they have impressed us. We would recommend our associates to hire freshers from this institute, they make sure that the students are well-trained and prepared for the industry.”

Sayani Dey

HR Executive

“We recently hired some certified tech candidates for varied job roles from Webskitters Academy. So far, it was the best decision we took. The candidates are skilled, learned, and willing to expand their knowledge base through continuous learning. We are open to collaborating with Webskitters Academy to access profound talents trained to confidently navigate the IT domain.”

Rounak Dhar

HR Executive

“We have had the privilege of hiring the best-trained candidates from Webskitters Academy. They were brilliant in technical expertise. The work process they followed, their core knowledge and the corporate ethics are exclusively what we expected. Thank you, Webskitters Academy, for offering such candidates our way.”

Payal Chatterjee

HR Executive

“We are happy with the quality of training that the Webskitters Academy students have received. Few of them have been on-board with us recently and they have impressed us. We would recommend our associates to hire freshers from this institute, they make sure that the students are well-trained and prepared for the industry.”

Sayani Dey

HR Executive

“We recently hired some certified tech candidates for varied job roles from Webskitters Academy. So far, it was the best decision we took. The candidates are skilled, learned, and willing to expand their knowledge base through continuous learning. We are open to collaborating with Webskitters Academy to access profound talents trained to confidently navigate the IT domain.”

Rounak Dhar

HR Executive

What Our Recruiters are Saying

Over the years, we have established a fruitful network with 300+ IT companies and MNCs, and they have numerous positive reviews to contribute.

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