Unlock the power of data with our AI & Data Science Training — a comprehensive program designed to equip you with the tools, techniques, and real-world skills needed for today’s data-driven world. Learn to analyze complex data, build machine learning models, deploy predictive solutions, and turn raw data into actionable business intelligence. Perfect for students and professionals aiming for careers in data science, analytics, AI engineering, or business intelligence.
AI & Data Science are among the most in-demand skills globally. Organizations across industries — finance, healthcare, e-commerce, marketing, logistics — rely on data insights and predictive analytics to make smarter decisions. By mastering Data Science and AI, you become a vital part of this transformation.
Gain deep expertise in data handling, statistical analysis, machine learning, and AI implementation — along with hands-on project experience. You’ll learn to process data, build predictive models, visualize results, and deploy real-world AI solutions that add value to businesses.
Python programming fundamentals — data types, lists, dictionaries, loops, functions
Libraries: NumPy, Pandas for data manipulation
Data cleaning, missing values, outlier detection
Data exploration, descriptive statistics, data visualization basics
Data visualization using Matplotlib, Seaborn
Advanced charts, heatmaps, pairplots, correlation analysis
Dashboards & reporting fundamentals with Python
Probability theory, distributions, hypothesis testing
Confidence intervals, statistical inference
Sampling techniques, data sampling
Regression models (linear, logistic)
Classification algorithms (decision tree, random forest, SVM, k-NN)
Model evaluation metrics: accuracy, precision, recall, F1-score, ROC-AUC
Cross-validation, hyperparameter tuning
K-means clustering, hierarchical clustering
Dimensionality reduction (PCA)
Anomaly detection, clustering for segmentation tasks
Introduction to Neural Networks
Frameworks: TensorFlow / Keras
Building and training multi-layer neural networks
Use-cases: image classification, basic NLP, predictive analytics
Model deployment using Flask / FastAPI (optional)
Project work: predictive modeling, data analytics dashboard, ML-based applications
End-to-end data science project workflow: data ingestion → preprocessing → modeling → evaluation → deployment/reporting
Gain access to high-growth career opportunities in the Business Intelligence and Data Analytics domain. Below are the average salary ranges for popular AI & Data Science job roles in India.
| Role | Salary Range |
|---|---|
| Data Analyst | ₹4 LPA – ₹10 LPA |
| Junior Data Scientist | ₹5 LPA – ₹12 LPA |
| Machine Learning Engineer | ₹6 LPA – ₹15 LPA |
| Data Scientist (Mid-level) | ₹8 LPA – ₹20 LPA |
| Senior Data Scientist / ML Lead | ₹12 LPA – ₹30 LPA + bonuses |
No. We start from Python basics and guide you through step-by-step so beginners can easily catch up.
Yes — we include multiple real-world datasets and project work to build practical experience and portfolio-ready work.
A strong foundation in data science and machine learning significantly boosts your chances. With your portfolio and skills, you can apply for roles like Data Analyst, ML Engineer, or Data Scientist.
Yes — we cover deployment basics using Flask or FastAPI and show you how to build and deploy real applications.
Python, NumPy, Pandas, scikit-learn, TensorFlow/Keras (optional), Flask / FastAPI, Git, and more.
Vyava Technologies is a leading IT training institute in Hyderabad, offering industry-ready skills, hands-on projects, and career-focused training for students and professionals.
