Data Science & Artificial Intelligence Course
Master Data Science & Artificial Intelligence with Python, Machine Learning, Deep Learning, and Generative AI. Build real-world AI models and become an industry-ready data scientist.
📈 Your Market Value After This Course
Salary ranges are indicative estimates and vary by location, employer, experience, and qualifications. They are not guaranteed earnings or placement outcomes.
Fresher / Entry Level
0-2 years experience
- Junior Data Scientist
- Data Analyst
- ML Associate
Mid Level
2-5 years experience
- Data Scientist
- Machine Learning Engineer
- AI Specialist
Senior / Expert Level
5+ years experience
- Lead Data Scientist
- AI Research Scientist
- Chief Data Officer
🎯 Job Roles You Can Apply For
📚 Complete Course Syllabus
Master every aspect with our comprehensive curriculum
Module 1: Python Programming for Data Science
- Python Basics - Variables, Data Types, Operators
- Control Flow - if, else, loops, break, continue
- Functions, Lambda, Map, Filter, Reduce
- Data Structures - Lists, Tuples, Dictionaries, Sets
- File Handling, Exception Handling
- NumPy - Arrays, Mathematical Operations
- Pandas - Series, DataFrame, Data Manipulation
- Object Oriented Programming in Python
Module 2: Mathematics & Statistics for Data Science
- Linear Algebra - Vectors, Matrices, Eigenvalues
- Calculus - Derivatives, Integrals, Gradients
- Descriptive Statistics - Mean, Median, Mode, Variance
- Probability - Distributions, Bayes Theorem
- Inferential Statistics - Hypothesis Testing, p-value
- Correlation & Regression Analysis
Module 3: Data Manipulation & Visualization
- Matplotlib - Line, Bar, Scatter, Histogram Plots
- Seaborn - Statistical Data Visualization
- Plotly - Interactive Dashboards
- Power BI / Tableau Basics
- EDA (Exploratory Data Analysis) Techniques
Module 4: Machine Learning Fundamentals
- Introduction to ML - Supervised, Unsupervised, Reinforcement
- Linear Regression - Simple & Multiple
- Logistic Regression for Classification
- Decision Trees & Random Forest
- SVM (Support Vector Machines)
- KNN & Naive Bayes
- Clustering - K-Means, Hierarchical, DBSCAN
- Feature Engineering & Selection
- Model Evaluation - Accuracy, Precision, Recall, F1, ROC
Module 5: Advanced Machine Learning & Deep Learning
- Introduction to Neural Networks
- Activation Functions, Backpropagation
- TensorFlow & Keras Basics
- CNN (Convolutional Neural Networks) - Image Recognition
- RNN, LSTM - Time Series & Text Data
- Transfer Learning & Pre-trained Models
- Model Deployment - Flask, FastAPI, TensorFlow Serving
Module 6: Generative AI & LLMs
- Introduction to Generative AI & LLMs
- OpenAI GPT, ChatGPT API Integration
- Prompt Engineering Techniques
- LangChain for LLM Applications
- Hugging Face Transformers
- Building Chatbots & AI Assistants
- RAG (Retrieval-Augmented Generation)
Module 7: Big Data & Cloud for Data Science
- Introduction to Big Data - Hadoop, HDFS
- Apache Spark - RDD, DataFrame, Spark SQL
- AWS Cloud for Data Science - S3, EC2, SageMaker
- SQL for Data Science - Advanced Queries
- MongoDB & NoSQL Databases
Module 8: Real-Time Projects & Capstone
- Project 1: Sales Prediction using Regression
- Project 2: Customer Churn Prediction
- Project 3: Image Classification using CNN
- Project 4: Sentiment Analysis with NLP
- Project 5: AI Chatbot using GPT API
- Capstone Project - End to End Data Science Solution
⭐ Why Choose Viroha Academy?
Explore the learning support and course features listed below.
Expert Trainers
Learn from industry professionals with 10+ years of experience in Data Science & AI
Hands-on Projects
Work on 5+ real-time industry projects with live datasets and deployment
Industry Certification
Get globally recognized IBM accredited certification in Data Science
100% Placement Support
Tie-ups with 450+ MNCs for Data Science & AI job placements
Resume Building
Professional resume & LinkedIn profile optimization for Data roles
Mock Interviews
Regular mock interviews with detailed feedback from industry experts
💻 Real-Time Projects
Build impressive portfolio with industry-relevant projects
Sales Prediction & Forecasting
Build a machine learning model to predict future sales using historical data with regression algorithms and time series analysis.
Image Classification System
Create a deep learning model to classify images into multiple categories using Convolutional Neural Networks (CNN).
AI Chatbot with GPT
Develop an intelligent chatbot using OpenAI GPT API and LangChain for customer support automation.
🚀 Career Support
Contact Viroha Academy to discuss the career guidance available for this course.
Ask our team about course-specific career preparation and available support.
Contact Viroha AcademyOur Top Hiring Partners
❓ Frequently Asked Questions
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🚀 Ready to Start Your Data Science & AI Journey?
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