Artificial Intelligence with Machine Learning Training
Build practical skills in Artificial Intelligence, Machine Learning, Python, data analysis, deep learning, NLP, computer vision, Generative AI, LLMs and model deployment. Learn through structured lessons, hands-on assignments and real-world AI projects.
LEARNING Python • ML • Deep Learning
NLP • LLMs • Computer Vision
AI & Python Foundations
Learn Python, numerical computing, data handling and practical AI development.
Machine Learning
Understand supervised and unsupervised models, evaluation and optimization.
Modern AI
Explore deep learning, NLP, LLMs, RAG and AI application workflows.
Training Certificate
Receive applicable completion documentation after meeting training requirements.
Learn Artificial Intelligence Through Practical Training
A structured six-week training program for students, freshers and aspiring AI professionals who want practical exposure to data, machine learning, deep learning and modern AI application development.
🧠 What You'll Learn
Understand how AI systems are designed, trained, evaluated and integrated into useful applications.
- ✓Python, NumPy, Pandas and data preparation
- ✓Supervised and unsupervised machine learning
- ✓Model evaluation and optimization
- ✓Deep learning with TensorFlow, Keras and PyTorch
- ✓NLP, embeddings and transformer concepts
- ✓Computer vision and transfer learning
✨ Why Learn AI + Machine Learning?
Modern AI development combines classical machine learning, deep learning and generative AI. This training provides a structured path across these areas.
- ✓Generative AI and prompt engineering
- ✓LLM APIs and AI application workflows
- ✓RAG and vector search concepts
- ✓AI agents and tool-use workflows
- ✓Model serving and deployment concepts
- ✓Responsible and ethical AI practices
Build Skills Beyond Textbook Learning
Connect programming, data, machine learning, deep learning and modern AI through practical learning activities and portfolio projects.
Python & Data
Work with Python, NumPy, Pandas, data cleaning, analysis and visualization.
Machine Learning
Learn algorithms, feature engineering, validation, metrics and model optimization.
Deep Learning
Explore neural networks, CNNs, transfer learning and deep learning workflows.
NLP & LLMs
Understand text processing, embeddings, transformers, LLMs and RAG applications.
Computer Vision
Build image-focused AI solutions using CNNs and pretrained models.
AI Deployment
Explore FastAPI, Streamlit, Docker, model serving, MLOps and monitoring concepts.
Learn From an Experienced Instructor
Maheen Rasheed
Technology innovator and educator with a strong foundation in Embedded Systems and a degree in Electronics and Communication Engineering. He has developed AI-powered solutions for traffic enforcement and license plate recognition using platforms like NVIDIA Jetson, Hailo and Raspberry Pi.
As the founder of CODECIRCUITRY and author of Learn Scratch Programming, he is committed to making technology education accessible for students and teachers.
Start Your Artificial Intelligence With Machine Learning Training
Register for the six-week training program through the form below.
Apply Before Today's Deadline
Registration deadline updates automatically for the current day.
Training Registration Form
Register for the Artificial Intelligence with Machine Learning Training. Complete the form carefully and provide accurate information.
56 Modules in Artificial Intelligence with Machine Learning
A structured curriculum covering Python, data preparation, machine learning, deep learning, NLP, computer vision, Generative AI, LLMs, RAG, deployment and MLOps.
Artificial Intelligence and Machine Learning Training Projects Details
Build practical applications that help you understand AI workflows and create portfolio-ready project demonstrations.
🚗 YOLOv5-Powered Self-Driving Cars: Enhancing Perception With Deep Learning
Build a smart object-detection system using YOLOv5 to detect pedestrians, vehicles and obstacles in real time. Explore how computer vision can support perception systems for autonomous driving and edge devices.
💬 Talk to Machines: Build AI Assistants With ChatGPT
Build a conversational AI interface using Python and an LLM API. Learn how to send prompts, receive responses programmatically and create a two-way interaction between an application and a language model.
🧠 AI Prediction System
Prepare a dataset, train a supervised machine learning model, evaluate its performance and build a simple prediction interface.
📊 Customer Segmentation
Use clustering, feature preparation and visualization to identify meaningful customer or user groups.
💬 NLP Sentiment Analyzer
Develop a text-classification system that analyzes sentiment and displays results in an interactive application.
👁️ Image Classification App
Train or fine-tune a CNN or transfer-learning model and expose image predictions through an application.
🤖 AI Chatbot With RAG
Build a knowledge-grounded chatbot using documents, embeddings, retrieval and an LLM workflow.
🚀 Deployable AI Application
Package an AI model as an application or API using FastAPI, Docker and deployment-ready practices.
Complete Your Training With Career Documentation
After successfully meeting the applicable training requirements, eligible learners can receive relevant completion documentation and credentials.
Showcase Your AI & ML Skills
Successfully complete your Artificial Intelligence with Machine Learning Training and receive applicable completion documentation from LetsIntern.
Artificial Intelligence with Machine Learning Training Certificate — sample certificate displayed above.
Skills You Can Build for AI & Machine Learning Careers
The training is designed to help you build practical foundations relevant to entry-level AI, ML, data and applied AI roles.
🤖 AI Engineer
Build intelligent applications, automation workflows and AI-powered features.
🧠 Machine Learning Engineer
Develop, evaluate and improve predictive and machine learning systems.
📊 Data Scientist
Use data, statistics and machine learning to solve analytical problems.
💬 NLP / LLM Engineer
Work on language models, NLP, embeddings, RAG and conversational AI.
👁️ Computer Vision Engineer
Develop image-based machine learning and deep learning applications.
⚙️ MLOps Engineer
Support model deployment, experiment tracking, monitoring and ML lifecycle automation.
What Learners Can Say About the Training
The following are sample testimonial placeholders. Replace them with verified learner feedback before publishing.
“The training helped me understand the complete machine learning workflow, from cleaning a dataset to evaluating a model. The practical exercises made the concepts easier to understand.”
Shikha VermaPlaced at Infosys“I enjoyed learning Python, machine learning and practical AI applications together. The project work gave me a clear direction for building my portfolio.”
Ananya SharmaPlaced at Microsoft“The AI and ML modules provided a structured learning path. The capstone project helped me practice an end-to-end workflow.”
Rohan VermaPlaced at Wipro“The training introduced me to model training, NLP and deployment concepts. I found the project-based learning approach useful.”
Priya SinghSample learner testimonial“I wanted practical AI experience beyond tutorials. Learning classical ML alongside LLM and RAG concepts was valuable for my learning journey.”
Ethan WilliamsPlaced at Accenture“Working through an AI project from preprocessing to deployment helped me connect theory with how an actual application can be built.”
Olivia JohnsonPlaced at Tech MechindraWhat Students Can Gain From AI & ML Training
📚 Structured Learning
- ✓Step-by-step AI and ML curriculum
- ✓Practical assignments and project work
- ✓Exposure to AI development workflows
- ✓Portfolio-oriented deliverables
💼 Career Preparation
- ✓Project experience for your resume
- ✓Practical AI/ML terminology and workflows
- ✓Experience discussing technical projects
- ✓Training completion documentation
Start Your Artificial Intelligence With Machine Learning Training
Register for the six-week training program through the form below.
Training Registration Form
Register for the Artificial Intelligence with Machine Learning Training. Complete the form carefully and provide accurate information.
Your AI Career Can Start With Practical Training.
Learn, build, practice and create portfolio-ready AI and machine learning projects through a structured six-week training experience.
Enroll for AI & ML Training →Trusted by 5000+ Students Across India
Real experiences from our training students
Testimonials
Trusted by Thousand of Students and Tutors
Ananya Sharma – Placed at Infosys
Rahul Nair – Placed at TCS
Priya Reddy – Placed at Wipro
John Williams (Nigeria) – Placed at Microsoft
Tech Stack & AI Tools Covered
Unlock These Skills During the Program
Core AI & Machine Learning:
Python Programming (Numpy, Pandas, Scikit-learn, Matplotlib)
Supervised & Unsupervised Learning
Model Training, Testing & Evaluation
Regression, Classification, Clustering, and Dimensionality Reduction
Deep Learning & Neural Networks:
TensorFlow & Keras or PyTorch
CNNs, RNNs, LSTMs
Image Classification, Object Detection, Sentiment Analysis
NLP & Generative AI:
Text Preprocessing, Tokenization, Embeddings
Transformers, BERT, GPT models
Chatbots, Text Summarization, AI Writing Tools
Data Handling & Visualization:
Data Cleaning, Feature Engineering
Exploratory Data Analysis (EDA)
Data Visualization with Seaborn, Matplotlib, Plotly
Databases & Data Storage:
SQL for structured data
MongoDB for unstructured data
Cloud Storage basics (Google Drive, Firebase, AWS S3)
Tools & Technologies:
Jupyter Notebook, Google Colab
VS Code for script-based development
APIs (OpenAI, Hugging Face, etc.)
Deployment & Hosting:
Streamlit / Flask for app deployment
Hugging Face Spaces, Vercel, or Render
Intro to MLOps and model versioning
Real-World Project Experience:
Build real AI solutions like chatbots, image classifiers, and content generators
Work on client-based or simulated industry projects
Training Project Roadmap:
Full Stack Web Developer Training with Major, Minor, and Practice Projects:
Trusted Collaborators
Why You Need This Training
🔥 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 training 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 training 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 training 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 trainings. 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 training 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.
Watch a Live Artificial Intelligence with Machine Learning Training Session below !
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)
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 training 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 trainings 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 training 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 Training Length —
1, 2, 3, 4, 5, or 6 Months (Online & Remote)
Stipend Given – Check Training Overview
REGISTRATION FORM
Fill up the Below form to get registered in the program
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