Master AI & Machine Learning Through Real-World Projects

Build practical skills in Artificial Intelligence, Machine Learning, Deep Learning, Generative AI, and Data Science with a hands-on course designed for students, beginners, and aspiring AI professionals.

✓ Beginner-Friendly Learning Path
✓ Hands-On Real-World AI/ML Projects
✓ Learn from Industry-Relevant Tools & Technologies
✓ Expert Guidance & Practical Assignments
✓ Certificate of Course Completion

Build Your Future with AI & Machine Learning

Learn the skills powering the future of technology. Master AI and Machine Learning through practical training, real-world projects, and hands-on experience.
course
Duration: Choose Your Internship Length —
1, 2, 3, 4, 5, or 6 Months (Online & Remote)
Stipend Given – Check Internship Overview
⏳ Time Left to Apply Today:
REGISTRATION FORM
Fill up the Below form to get registered in the program
This will appear on your certificate.
*Should be an active email id.
*This option allows you to postpone the program to a future date. Leaving it blank will apply the default schedule.
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AI & Machine Learning Course – Your Learning Journey

📚 Phase 1: Build Your Foundation

Start with the fundamentals of Python, Mathematics, Statistics, and Data Science. Learn the essential concepts you need to begin your AI and Machine Learning journey with confidence.

🤖 Phase 2: Master Machine Learning

Learn how to work with real datasets and build machine learning models using Regression, Classification, Clustering, Feature Engineering, and Model Evaluation.

🧠 Phase 3: Dive into Deep Learning

Understand how neural networks work and explore Deep Learning, CNNs, Computer Vision, and modern AI frameworks through practical exercises and projects.

💬 Phase 4: Explore NLP & Generative AI

Learn how modern AI systems understand and generate information. Explore Natural Language Processing, Large Language Models, Prompt Engineering, Embeddings, RAG, and Generative AI applications.

🚀 Phase 5: Build Real-World AI Projects

Apply everything you learn by building practical AI and Machine Learning projects. Develop projects that can demonstrate your skills and strengthen your portfolio.

🎓 What You’ll Get

✓ Structured AI & Machine Learning curriculum
✓ Hands-on assignments and real-world projects
✓ Practical learning from beginner to advanced concepts
✓ Industry-relevant tools and technologies
✓ Certificate of Course Completion
✓ Guidance for building your AI/ML portfolio

🌟 Start Your AI Journey Today

Learn the fundamentals, build powerful AI solutions, and develop the practical skills needed to take your next step in the world of Artificial Intelligence and Machine Learning.

Why Choose Our AI & Machine Learning Course?

Our AI & Machine Learning Course is designed for students, beginners, and aspiring professionals who want to build practical skills in Artificial Intelligence and Machine Learning. Instead of focusing only on theory, the course combines structured learning with hands-on assignments and real-world projects.

Throughout the course, you will learn how to work with data, build and evaluate machine learning models, understand deep learning concepts, and explore modern technologies such as Generative AI, NLP, and Large Language Models.

With a step-by-step learning approach, practical projects, and industry-relevant tools, this course helps you develop the skills needed to create AI-powered solutions and build a strong portfolio.

Who Can Join Our AI & Machine Learning Course?

The course is ideal for:

  • Computer Science and IT students
  • Engineering and Technology students
  • College students and recent graduates
  • Beginners interested in Artificial Intelligence
  • Python or Data Science learners who want to advance their skills
  • Working professionals looking to transition into AI/ML
  • Anyone interested in building a career in Artificial Intelligence and Machine Learning

No advanced AI/ML experience is required. The course starts with the fundamentals and gradually takes you toward advanced concepts and real-world AI projects.

Duration: Choose Your Internship Length —
1, 2, 3, 4, 5, or 6 Months (Online & Remote)
Stipend Given – Check Internship Overview
⏳ Time Left to Apply Today:
REGISTRATION FORM
Fill up the Below form to get registered in the program
This will appear on your certificate.
*Should be an active email id.
*This option allows you to postpone the program to a future date. Leaving it blank will apply the default schedule.

Course Highlights

📚 Structured Learning Path

Follow a step-by-step curriculum that takes you from AI and Machine Learning fundamentals to advanced concepts.

💻 Hands-On AI/ML Projects

Build practical projects using real-world datasets and solve problems using Machine Learning and AI techniques.

🤖 Core AI & Machine Learning Skills

Learn Python, Data Science, Machine Learning, Deep Learning, NLP, Generative AI, and essential AI tools.

👨‍🏫 Expert Guidance

Learn with guidance from experienced instructors and get support while working through concepts and projects.

📝 Practical Assignments

Strengthen your understanding with hands-on assignments, exercises, and project-based learning.

🎥 Course Access & Learning Resources

Access course materials, learning resources, and recorded sessions to learn at your own pace.

🎓 Certificate of Completion

Receive a certificate after successfully completing the course and demonstrating your learned skills.

💬 Doubt & Learning Support

Get your questions answered and receive support when you need help understanding concepts or completing projects.

🚀 Career Guidance

Get guidance on building your AI/ML portfolio, improving your resume, preparing for interviews, and planning your career path.

What You’ll Learn

Master the Skills to Build Real AI Solutions

Our curriculum takes you from the fundamentals of programming and data science to advanced Machine Learning, Deep Learning, NLP, and Generative AI.

🐍 Python & Data Science
  • Python fundamentals for AI/ML
  • NumPy, Pandas, Matplotlib
  • Data cleaning and preprocessing
  • Exploratory Data Analysis (EDA)
  • Data visualization
🤖 Machine Learning
  • Supervised and Unsupervised Learning
  • Regression and Classification
  • Clustering
  • Feature Engineering
  • Model Training, Testing & Evaluation
  • Popular ML algorithms
🧠 Deep Learning
  • Neural Networks fundamentals
  • TensorFlow / PyTorch
  • CNNs and Computer Vision
  • RNNs and LSTMs
  • Image Classification
  • Object Detection
💬 NLP & Generative AI
  • Text preprocessing and tokenization
  • Embeddings
  • Transformers and BERT
  • Large Language Models (LLMs)
  • Prompt Engineering
  • Generative AI applications
  • AI Chatbots
🗄️ Databases & Data Handling
  • SQL fundamentals
  • Working with structured and unstructured data
  • MongoDB basics
  • Data storage and management
🛠️ AI Development Tools
  • Jupyter Notebook
  • Google Colab
  • VS Code
  • Git & GitHub
  • APIs and AI model integration
  • Hugging Face
🚀 Model Deployment
  • Deploying Machine Learning models
  • Streamlit applications
  • FastAPI basics
  • Hugging Face Spaces
  • Cloud deployment fundamentals
  • Introduction to MLOps
💻 Real-World AI Projects

Apply your knowledge by building practical projects such as:

  • AI Chatbots
  • Image Classification Systems
  • Sentiment Analysis
  • Recommendation Systems
  • Predictive Machine Learning Models
  • Generative AI Applications

Hands-On Projects

Build Real AI & Machine Learning Projects

🚀 Major Projects

AI-Powered Virtual Assistant

Build an AI assistant using NLP and Large Language Models for question answering and task automation.

Medical Image Classification

Develop a deep learning model to classify medical images using CNNs and explore practical computer vision workflows.

AI-Powered Recommendation System

Build a recommendation engine that suggests relevant products, movies, or content based on user preferences and data.

💻 Intermediate Projects

Customer Support AI Chatbot

Create a chatbot that answers customer queries using NLP, APIs, or a knowledge base.

Sentiment Analysis Web App

Build a web application that analyzes text and identifies positive, negative, or neutral sentiment.

Fake News Detection

Train a Machine Learning model to classify news articles using text-processing and classification techniques.

House Price Prediction

Develop a regression model that predicts property prices using real-world features and data.

🧪 Practice Projects

Handwritten Digit Recognition

Train a neural network to recognize handwritten digits using the MNIST dataset.

Spam Email Classifier

Build a classification model that identifies spam and legitimate emails.

Image Caption Generator

Explore computer vision and NLP by creating captions for images.

Text Summarization Tool

Build an application that automatically summarizes long text using NLP techniques.

Movie Recommendation System

Create a recommendation system that suggests movies based on user preferences and similarity.

Customer Churn Prediction

Build a classification model to predict whether a customer is likely to leave a service.

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Why You Need This AI & Machine Learning Course

🚀 Don't Just Learn AI. Build With It.
1. AI Skills Are in High Demand

Artificial Intelligence and Machine Learning are transforming industries worldwide. Build practical skills that can help you understand and work with modern AI technologies.

2. Go Beyond Theory

Reading concepts is not enough. Practice what you learn through assignments, coding exercises, and real-world AI/ML projects.

3. Learn Step by Step

Start with the fundamentals and gradually progress to Machine Learning, Deep Learning, NLP, and Generative AI without being overwhelmed.

4. Build a Strong AI/ML Portfolio

Work on practical projects that demonstrate your ability to solve problems using Python, Machine Learning, Deep Learning, and modern AI tools.

5. Learn Industry-Relevant Technologies

Get hands-on exposure to technologies and tools commonly used in AI development, including Python, Scikit-learn, TensorFlow/PyTorch, APIs, Git, and Generative AI tools.

6. Develop Practical Problem-Solving Skills

Learn how to collect and prepare data, train models, evaluate results, and turn AI concepts into working applications.

7. Get Guidance When You Need It

Learn with instructor support, practical guidance, and doubt-solving assistance throughout your learning journey.

8. Prepare for Your AI Career

Build the technical knowledge, project experience, and portfolio you need to take your next step toward opportunities in AI, Machine Learning, and Data Science.

Who Is This Course For?

This course is suitable for:

  • Computer Science & IT students
  • Engineering students
  • College students and recent graduates
  • Beginners interested in AI & Machine Learning
  • Python and Data Science learners
  • Working professionals looking to upskill or transition into AI
  • Anyone interested in building practical AI/ML skills

No advanced AI/ML experience is required. The course starts from the fundamentals and gradually moves toward advanced concepts and practical projects.

"Your Gateway to Real-World Experience – LIVE Sessions in Progress"

Duration: Choose Your Internship Length —

⏳ Time Left to Apply Today:
ENROLLMENT FORM

Fill the form below to get enrolled in the program 👇🏻

This will appear on your certificate.
*Should be an active email id.
*This option allows you to postpone the program to a future date. Leaving it blank will apply the default schedule.

Meet our Ex-Interns

Ayush Parasha- Student at Arya College of Engineering and IT

Pranav Joshi- Full Stack Developer

RITU SINGH-FullStack Developer

Jahruddeen Ansari-DevOps Engineer | AWS Practitioner Certification – Associate

Syed Kashif- New Delhi

Jonal Suthar – TCS | Systems Engineer

PRATIBHA KUMARI-RAMS Engineer @ Alstom

Ramavath Harish-NIT MEGHALAYA

Rahul Bansal – Product Manager at HP India

krishnavamshi Thadooru-Mern Full Stack Developer

Shubhanshu roy-MVJ College of Engineering, Bangalore, India

Deepthi Muthineni-Project Engineer at Wipro

Ayushi mallawat – Full Stack Web developer Intern at Solar Secure Solutions (Part of CWS)

Mayank Parmar-Intern at Solar Secure Solutions | Web developer| SVNIT (Part of CWS)

Ritesh Shukla- Full stack developer Intern at Soalr secure solutions(Part of CWS)

Mohit Kapil- IIT Roorkee’23 | Frontend Developer 

Mritunjay Mishra-Software Developer | Java | Python

Rachin-Associate QA Engineer at Empyra software solutions

Shivesh Singh – Software Engineering Student | AI/ML Enthusiast

Junaid Aftab – Full Stack Developer | Recruiter

Ayush Kumar – Computer Science Student | Learner | Generative AI

Sheebamol TG-Web developer/WordPress Developer

Uday Dalvi-Java/ web dev/ SQL developer

Saipranav Sapare-Front-End intern at Solar Secure Solutions (A part of CWS)

Testimonals

Some Top recruiters...

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FAQs

To begin, complete the registration form above by entering your name, email ID, and mobile number. Mention if you’re a student or a professional, along with your college or workplace details. You can also pick a convenient start date, and we’ll try our best to match it.

📩 Offer Letter: After we verify your registration, your offer letter will be issued and sent to your email within a few hours or the next morning.
📩 Welcome Package: On your chosen start date, you’ll receive login credentials and step-by-step guidance via email.
In case you have any queries, you can reach out through hr@corporatewebsolutions.in or WhatsApp/call +91-7618025090.

Definitely! Our support team assists with college-required documents such as attendance sheets, evaluation reports, progress updates, and project summaries throughout your program.

If you need to take a leave for any reason, simply email us or drop a WhatsApp message. You don’t have to wait for a response — just inform us and focus on your priority. Once you’re ready, you can easily resume your tasks.

Yes, a laptop or desktop with a good internet connection is mandatory for participating in this program.

Our programs feature pre-recorded video sessions and LIVE sessions both (Hybrid )  to offer maximum flexibility. Everyone — students, professionals, and mentors — can learn at their own pace without schedule conflicts.

Don’t worry there is an AI-powered assistant to help you with all your coding-related queries. Andie can check and debug code, generate new code, and even build entire projects for you.

This feature is exclusively available to registered candidates through their Task Portal.

Since mentors cannot be available 24/7, Andie was developed to bridge the gap. Located at the bottom-left corner of every module, this Full Stack Developer Bot is capable of writing, reviewing, and troubleshooting code anytime, ensuring you get instant solutions to your coding challenges, day or night.

This internship cum training opportunity is designed in such a way as from fresher to a professional anyone can get benefit out of it, The opportunity is divided into 15+ modules, and every Module contains 15-20 small tasks plus 1 project (in the last) based upon what you have learnt in that particular module. The complexity and practicality of your modules and projects will gradually increase, Timing is flexible, schedule yours accordingly.  After completing every project given in the modules, Submit within the deadlines.

A major part of this program contains a training part, however we have many projects (2 Major, 15 Minor and many practice projects) and many internal and external resources to sharpen the skills of the candidates. It is a self paced program, Training and internships will go simultaneously. After every Module, there will be a project related to it (may it be a minor, major or practice project)

We have 20+ projects to provide hands on Experience and sharpen the skills of the Interns. 

About Paid Projects_

Paid projects will be provided to the interns on two basis

1) The assignments/projects, which all students sends goes directly to our USA team. they evaluate all of them and create a kind of ranking sheet based upon some factors like quality, accuracy, deadline met etc. They keep this list with them for future paid projects.

2) The availability and number of the projects available.

The training is split into 15+ modules, each with 15–20 tasks and one project. As you progress, the complexity grows to ensure steady skill development. Projects must be submitted on time, and you can plan your schedule flexibly.

You’ll work on over 20 projects to build real-world experience.
👉 Paid Project Opportunity: Based on your performance (quality, speed, and accuracy), you may be eligible for paid tasks offered by our USA team, subject to availability.

Anyone interested can join! Basic knowledge of HTML, CSS, or JavaScript is a bonus but not compulsory. Graduates from any stream are welcome. There are no restrictions based on nationality, age, or background.

You decide your working hours! Whether you’re a student or a working professional, you can complete modules at your convenience. Plus, the internship is 100% remote — work from wherever you are most comfortable.

Once enrolled, you’ll have lifetime access to all training content, unless there’s a policy change in the future.

Absolutely! You’ll receive full training material, video tutorials, and 24/7 coding assistance before and during your project work.

Yes, but it depends! Stipends are offered based on your performance, the nature of the project, and USA team evaluations. Stipends typically range from ₹8,000 to ₹18,000 INR ($99 – $219) or higher, depending on project availability.

We actively hire top-performing interns for internal and client roles based on project availability. Additionally, we regularly post openings from our partners so you can apply even after completing the program.

Your certificate will be automatically prepared and scheduled to be emailed around your program completion date. Allow up to 48 extra hours if it falls on a weekend or holiday.

LORs are awarded to exceptional candidates based on strict performance criteria. If you require a LOR for special circumstances like studying abroad, you may also directly request it from HR.

Of course! Although not mandatory, if you find the program valuable, feel free to refer it to friends, classmates, or colleagues who might benefit.

Duration: Choose Your Internship Length —
1, 2, 3, 4, 5, or 6 Months (Online & Remote)
Stipend Given – Check Internship Overview
⏳ Time Left to Apply Today:
REGISTRATION FORM
Fill up the Below form to get registered in the program
This will appear on your certificate.
*Should be an active email id.
*This option allows you to postpone the program to a future date. Leaving it blank will apply the default schedule.

Skills You Will Gain in AI & Machine Learning

By completing our AI & Machine Learning Course, you will develop practical skills that help you understand, build, and deploy AI-powered solutions.

  • Python Programming for AI & Machine Learning
  • Data Cleaning, Preprocessing & Analysis
  • Machine Learning Model Development
  • Supervised & Unsupervised Learning
  • Deep Learning & Neural Networks
  • Natural Language Processing (NLP)
  • Generative AI & Large Language Models
  • Computer Vision & Image Classification
  • Model Evaluation & Performance Optimization
  • AI Model Deployment & Integration
  • Working with APIs, Git & GitHub
  • Real-World AI/ML Project Development

Build Skills. Create Projects. Grow Your AI Career.

Apply your knowledge through practical assignments and projects designed to strengthen your technical skills, problem-solving abilities, and AI/ML portfolio.

Start Learning AI & Machine Learning Today →