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.
Duration: Choose Your Internship Length —
1, 2, 3, 4, 5, or 6 Months (Online & Remote)
Stipend Given – Check Internship Overview
REGISTRATION FORM
Fill up the Below form to get registered in the program
OUR STUDENTS ARE SELECTED IN
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
REGISTRATION FORM
Fill up the Below form to get registered in the program
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.
"Your Gateway to Real-World Experience – LIVE Sessions in Progress"
Duration: Choose Your Internship Length —
ENROLLMENT FORM
Fill the form below to get enrolled in the program 👇🏻
Meet our Ex-Interns
Testimonals
Some Top recruiters...
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
REGISTRATION FORM
Fill up the Below form to get registered in the program
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