AI & Machine Learning Industry Training Program (Online – Remote)

Industry-Level Training with Placement Assistance | Live Online | Hands-on Projects

AI & Machine Learning Professional Training Program

This is a career-focused industry training program designed to build practical AI & Machine Learning skills required by companies.
Includes live project work, technical mentoring, and structured placement assistance.
AI Machine Learning Internship
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.
OUR STUDENTS ARE SELECTED IN
Data Analyst Internship with AI

Program Duration: 8–10 Weeks (Live + Practical Implementation)

Mode: 100% Online (Instructor-Led)
Outcome: Job-Ready AI/ML Skillset + Placement Assistance

Objective: Build strong programming fundamentals required for AI/ML.

Topics Covered:

  • Python Basics (Variables, Data Types, Operators)

  • Control Structures (Loops, Conditions)

  • Functions, Modules & File Handling

  • Working with Jupyter Notebook & Google Colab

  • Data Structures (Lists, Tuples, Sets, Dictionaries)

  • Introduction to NumPy (Numerical Computing)

Practical Work:
✔ Writing real-world automation scripts
✔ Data manipulation using NumPy
✔ Mini assignment: Build a Data Processing Tool

Objective: Learn how to understand and prepare raw data for Machine Learning.

Topics Covered:

  • Data Analysis using Pandas

  • Data Cleaning Techniques (Missing Values, Duplicates)

  • Data Transformation & Feature Preparation

  • Exploratory Data Analysis (EDA)

  • Data Visualization using Matplotlib & Seaborn

  • Understanding Patterns & Trends in Data

Practical Work:
✔ Analyze real datasets (Sales / Healthcare / Finance)
✔ Build visualization dashboards
✔ Case Study: Business Insights from Raw Data

Objective: Understand the logic behind ML algorithms (without heavy math complexity).

Topics Covered:

  • Descriptive Statistics (Mean, Median, Std Dev)

  • Probability Concepts for ML

  • Correlation & Data Relationships

  • Distributions (Normal Distribution)

  • Hypothesis Testing Basics

  • Linear Algebra Intuition for ML Models

Practical Work:
✔ Real-world statistical analysis
✔ Model understanding using visualization

Objective: Learn how machines make predictions using data.

Topics Covered:

  • What is Machine Learning? Industry Applications

  • Types of ML: Supervised vs Unsupervised Learning

  • ML Workflow (Data → Train → Predict → Improve)

  • Model Training & Testing Concepts

  • Overfitting vs Underfitting

  • Model Evaluation Metrics (Accuracy, Precision, Recall)

Algorithms Covered:

  • Linear Regression

  • Logistic Regression

  • Decision Trees

  • K-Nearest Neighbors (KNN)

  • Naive Bayes

Practical Work:
✔ Build prediction models from scratch
✔ Project: Predict House Prices / Customer Churn

Objective: Work with real industry-level ML techniques.

Topics Covered:

  • Ensemble Learning (Random Forest)

  • Feature Engineering Techniques

  • Model Optimization & Hyperparameter Tuning

  • Cross Validation Methods

  • Handling Imbalanced Data

  • Pipeline Creation for Automation

Practical Work:
✔ Build optimized ML models
✔ Case Study: Fraud Detection System

Objective: Understand how AI goes beyond traditional ML.

Topics Covered:

  • Artificial Intelligence vs Machine Learning vs Deep Learning

  • Neural Networks Explained Simply

  • How AI Powers Real Products (Chatbots, Recommendations)

  • Introduction to TensorFlow / Scikit-learn

  • Image & Text Data Understanding

Practical Work:
✔ Build a simple AI-based classification system
✔ AI Use Case: Resume Screening / Recommendation Engine

Objective: Apply everything in production-style projects.

Projects You Will Build:
✔ AI-Based Prediction System
✔ Customer Segmentation Model
✔ Recommendation Engine
✔ Data-Driven Business Dashboard
✔ End-to-End ML Deployment Workflow

Skills Learned:

  • Problem Understanding → Data → Model → Deployment Approach

  • Writing Production-Level Notebooks

  • Presenting Insights Like Industry Professionals

Objective: Learn how ML models are used in real companies.

Topics Covered:

  • Model Serialization (Saving Models)

  • Building Simple ML APIs

  • Deployment Concepts (Local / Cloud Overview)

  • Integrating Models into Applications

  • Introduction to MLOps Concepts

Practical Work:
✔ Deploy ML model for real-time prediction

Objective: Make learners job-ready for AI/ML roles.

Included:

  • Resume Building for AI/ML Profiles

  • GitHub Portfolio Creation

  • Project Documentation Training

  • Interview Preparation (Technical + HR)

  • Mock Interviews with Experts

  • Job Role Guidance (Data Analyst / ML Engineer / AI Associate)

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.

AI & Machine Learning Training Highlights

Industry-Oriented Learning Approach

Designed as a professional training program aligned with real-world AI job roles, focusing on practical implementation rather than theoretical concepts.

Hands-on AI & Machine Learning Projects

Work on guided industry-style projects such as predictive modeling, data analysis, NLP applications, and intelligent automation systems.

Core AI & ML Skill Development

Learn Python for AI, Machine Learning algorithms, Data Preprocessing, Model Building, and Evaluation using modern tools and frameworks.

Live Mentor-Led Online Sessions

Interactive live classes conducted by experienced professionals to ensure conceptual clarity and applied understanding.

Version Control & Collaboration Workflow

Learn Git, GitHub, and structured development practices used by AI teams for project collaboration and portfolio building.

Model Deployment & Practical MLOps Introduction

Understand how trained models are deployed using platforms like Streamlit / APIs and learn the basics of production-level AI workflows.

Industry Training Certificate (Not Internship)

Receive a professional training certificate validating your AI & ML skills for job applications and higher studies.

Recorded Sessions + Flexible Learning Access

Get lifetime access to session recordings for revision and continuous learning.

Career & Placement Assistance

Includes resume building, project portfolio guidance, interview preparation, and hiring support through partner networks.

🎯 Tools & Technologies Covered

Python • Pandas • NumPy • Scikit-learn • Matplotlib • Seaborn Jupyter Notebook • Google Colab • ML Pipelines • GitHub

Trusted Collaborators

Why You Need This Internship

🔥 Don't just prepare for a job. Prepare for a future. Enroll Now! 🔥

1. The Job Market is Brutal — Skills Beat Degrees
Today, a degree alone isn’t enough. Companies hire those who can build real-world projects, not just write exams. This internship teaches you exactly what the industry demands, making you job-ready — not just book-smart.

2. You’re Stuck in “Tutorial Hell” — It’s Time to Break Free
Watching endless YouTube videos and following tutorials won’t make you a real developer. Here, you’ll build real projects, work like a real developer, and finally feel confident to face interviews and clients.

3. Confidence Comes From Action — Not Just Learning
Most students fear interviews because they haven’t actually applied their knowledge. This internship gives you hands-on experience, teamwork exposure, and the chance to build a portfolio that speaks louder than your resume.

4. Learn Smart, Not Hard — Focused Curriculum, Zero Wastage
No more wasting time on outdated topics. Our program is laser-focused on the exact skills tech companies demand in 2025 — React, Node.js, MongoDB, GitHub, APIs, Hosting — everything you truly need to succeed.

5. Real-World Projects — Proof of Your Talent
Employers don’t care what courses you attended; they care what you can build. This internship lets you build apps, deploy websites, and showcase your skills with pride.

6. You Deserve a Career, Not Just a Job
You’ve worked hard. You deserve more than rejections and unpaid internships. With the right skills, you can start your career strong, earn respect, and stand out — no matter your background.

7.Graduating Isn’t Enough Anymore — Skills Are the New Degree
In today’s competitive world, only those who can prove their skills survive. This internship transforms you from just another graduate into a true developer.

8.Learn How Real Developers Work
Textbook knowledge won’t teach you teamwork, client handling, deadlines, and real-world problem-solving. Here, you work on real projects, with real deadlines, in a real remote environment.

Eligibility Criteria

Open to all graduates, final-year students, freshers, and working professionals.
No previous experience is required as full guidance and mentorship are provided.

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"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.

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