ISO Certified  |  Industry-Ready AI Training

Master Data Science &
Artificial Intelligence

Launch your career in AI, Machine Learning, Data Analytics & Automation. Learn from industry experts with real-world projects, hands-on datasets, and 100% placement support.

Python Machine Learning Deep Learning Data Analytics NLP Computer Vision SQL & Power BI

Data Science & AI Course

At CADDPOINT, we provide industry-focused Data Science and Artificial Intelligence courses designed to help students and professionals build successful careers in today’s technology-driven world. Our training programs cover Python, Machine Learning, Deep Learning, Data Analytics, AI tools, and real-time projects guided by experienced trainers. We focus on practical learning, hands-on assignments, and career development to ensure students gain both technical knowledge and confidence. Whether you are a beginner or looking to upgrade your skills, CADDPOINT offers the right learning environment with expert mentorship, flexible training schedules, and certification support to help you achieve your professional goals in the fast-growing AI and Data Science industry.

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Why Choose Data Science & AI?

The world's fastest-growing field — powering every industry from healthcare to finance

Highest Paying IT Career

Data Scientists and AI Engineers command salaries of ₹6–40 LPA in India and $90K–$200K+ globally — making it the most lucrative tech domain.

Explosive Job Growth

The US Bureau of Labor Statistics projects 36% growth in data science roles through 2031 — 4x faster than the average occupation.

Universal Industry Demand

Every industry — BFSI, healthcare, retail, e-commerce, manufacturing — now needs AI experts to power smarter, data-driven decisions.

Automation & Future Tech

AI is the foundation of automation, autonomous vehicles, GenAI, and Industry 4.0 — skills you learn today are valid for decades ahead.

Freelancing & Remote Work

Build AI projects for global clients on platforms like Upwork, Toptal, and Kaggle — earn in dollars from anywhere in the world.

Work at Top Companies

Our alumni work at Google, Amazon, Microsoft, Infosys, TCS, Wipro, startups, and leading MNCs — your next career milestone starts here.

AI Technologies You Will Master

Our curriculum covers end-to-end AI stack from data collection to model deployment using the most in-demand tools and frameworks.

Python & NumPy

Core AI programming

TensorFlow & Keras

Deep learning frameworks

Scikit-Learn

ML algorithms library

Power BI & Tableau

Data visualization

SQL & Pandas

Data engineering

OpenCV

Computer vision

What You Gain at CADPOINT
100% Placement Assistance

Dedicated HR team, resume reviews, mock interviews & direct company referrals

Real-Time Project Experience

Work on live business datasets — fraud detection, sentiment analysis, image recognition

Industry Certification

Globally recognized certificate that boosts your resume and LinkedIn profile significantly

Internship Opportunities

Collaborate with partner companies for paid/unpaid internships during your course

Lifetime Study Materials

Access to recorded sessions, course notes, datasets & code repositories forever

Complete Course Modules

Structured, industry-aligned curriculum covering every aspect of modern Data Science and AI engineering

01
Python for Data Science
  • Python syntax, OOP concepts
  • NumPy arrays & operations
  • Pandas DataFrames
  • File handling & data I/O
  • Matplotlib & Seaborn basics
02
SQL for Data Science
  • SQL fundamentals & joins
  • Window functions & CTEs
  • Data aggregation & filtering
  • MySQL & PostgreSQL
  • Python-SQL integration
03
Data Analysis & EDA
  • Exploratory data analysis
  • Statistical data profiling
  • Data cleaning & wrangling
  • Feature engineering
  • Hypothesis testing
04
Machine Learning
  • Supervised / unsupervised learning
  • Linear & logistic regression
  • Decision trees, Random Forest
  • SVM, KNN, Naive Bayes
  • Model evaluation & tuning
05
Deep Learning & Neural Networks
  • ANN, CNN, RNN architecture
  • Backpropagation & optimization
  • TensorFlow & Keras
  • Transfer learning
  • Dropout & regularization
06
Natural Language Processing
  • Text preprocessing & tokenization
  • Sentiment analysis
  • Named entity recognition
  • Transformers & BERT basics
  • Chatbot development
07
Computer Vision
  • Image processing with OpenCV
  • Object detection & YOLO
  • Image classification with CNN
  • Face recognition systems
  • Video analysis basics
08
Power BI & Tableau
  • Dashboard design principles
  • Power BI reports & DAX
  • Tableau visualizations
  • Business KPI dashboards
  • Publishing & sharing reports
09
Model Deployment & MLOps
  • Flask & FastAPI for ML APIs
  • Streamlit web apps
  • AWS / GCP basics for ML
  • Docker & containerization
  • ML pipeline automation

From Raw Data to Predictive Models

Understand the full ML lifecycle — from data collection and preprocessing to model training, validation, and production deployment.

  • Supervised & Unsupervised Learning Algorithms
  • Feature Selection, Dimensionality Reduction
  • Cross-Validation & Hyperparameter Tuning
  • Ensemble Methods — Boosting, Bagging, Stacking
  • Scikit-learn, XGBoost, LightGBM mastery

Real-Time AI Projects

Build an industry-ready portfolio with 15+ real-world AI & Data Science projects using live datasets

Credit Card Fraud Detection

Build a real-time fraud detection system using imbalanced financial datasets, ensemble models, and threshold optimization.

Python Scikit-Learn XGBoost SMOTE
Sentiment Analysis Engine

Analyze Twitter and product reviews using NLP pipelines, BERT embeddings, and deploy as a real-time web API.

NLP BERT FastAPI Transformers
Movie Recommendation System

Build collaborative and content-based filtering recommendation engines using matrix factorization and cosine similarity.

Collaborative Filtering Pandas Streamlit
Medical Disease Prediction

Predict diabetes, heart disease, and cancer using clinical datasets, feature engineering, and interpretable ML models.

Healthcare Data Random Forest SHAP
Object Detection with YOLO

Real-time object detection and tracking for vehicles, pedestrians, and traffic signs using YOLOv8 and OpenCV.

Computer Vision YOLOv8 OpenCV
Sales Forecasting Dashboard

Time-series forecasting with ARIMA, Prophet, and LSTM — published as an interactive Power BI dashboard.

Time Series Prophet Power BI

High-Demand Career Roles

Unlock top-paying AI career opportunities across every major industry globally

Data Scientist
₹8 – 40 LPA
95% Demand
PythonMLStatisticsSQL
AI Engineer
₹10 – 45 LPA
92% Demand
Deep LearningTensorFlowMLOps
ML Engineer
₹8 – 35 LPA
90% Demand
Scikit-LearnDockerAWS
Data Analyst
₹4 – 18 LPA
98% Demand
ExcelSQLPower BITableau
NLP Engineer
₹9 – 38 LPA
85% Demand
NLPBERTHugging Face
BI Analyst
₹5 – 22 LPA
88% Demand
Power BIDAXTableau

Your Learning Roadmap

A structured, step-by-step path from beginner to AI professional

1
Enroll & Onboard

Register for the course, get access to the learning portal, orientation session, batch allocation, and meet your dedicated mentor.

2
Core Concept Learning

Master Python, statistics, data analysis, and ML fundamentals through live classes, recorded videos, and interactive coding assignments.

3
Practice on Real Datasets

Apply your skills on Kaggle datasets, business data, and simulated industry scenarios — guided by expert instructors.

4
Build AI Models

Train, evaluate, and optimize real machine learning and deep learning models — from regression to neural networks and NLP.

5
Capstone Real-Time Projects

Complete 3–5 end-to-end AI projects with documentation, deployed as web apps — the core of your professional portfolio.

6
Certification

Appear for the assessment and receive your CADPOINT Data Science & AI certification — recognized by 100+ partner companies.

7
Placement Preparation

Resume building, LinkedIn optimization, mock interviews, HR sessions, and direct referrals to 200+ hiring companies.

Frequently Asked Questions

No prior programming experience is required. Our course starts from Python basics and gradually advances to AI/ML concepts. Students from any educational background — engineering, commerce, or arts — can join. We ensure every student builds a strong foundation before moving to advanced topics.

Yes. CADPOINT has a dedicated placement team that assists every student with resume preparation, LinkedIn profile optimization, mock technical interviews, HR interviews, and direct company referrals. We have partnerships with 200+ companies actively hiring AI & Data Science professionals.

Yes, we offer both online and offline (classroom) modes. Online sessions are conducted live via video conference with full interaction, screen sharing, and Q&A. All sessions are recorded and available for 6 months for revision. Students can switch between modes based on their convenience.

All tools used in the course are free and open-source: Python (Anaconda), Jupyter Notebook, VS Code, Google Colab, MySQL, Power BI Desktop, and Tableau Public. You need a laptop with 8GB RAM (16GB preferred). All setup guides are provided during onboarding. No paid software required.

Yes. Top-performing students are offered internship opportunities with our partner companies during and after the course. Internships provide real industry experience, add value to your resume, and often convert to full-time roles. Details are discussed during the course based on performance and batch availability.

Upon successful completion, you receive a CADPOINT Certified Data Scientist & AI Professional certificate. This is recognized by our 200+ partner companies. We also guide you in preparing for globally recognized certifications like Google Professional Data Engineer, AWS ML Specialty, and IBM Data Science Professional Certificate.

Start Your AI & Data Science
Career Today

Join 2500+ professionals who have transformed their careers with CADPOINT's world-class Data Science & AI training