Your Ultimate Handbook for Mastering Data Sceince & Artificial Intelligence
Data Science and Artificial Intelligence is a course that delves into the techniques, tools, and methodologies used to extract insights from data and build intelligent systems. It focuses on Data Science, which involves data collection, cleaning, analysis, and visualization to support data-driven decision making. The course also explores Artificial Intelligence, enabling machines to mimic human intelligence through machine learning, deep learning, and natural language processing.
Program Duration
12 Months
Time Commitment
12-15 Hrs/Week
Placement Support
900+ Companies
Enrollment
Highly Selective
How Can We Turn You Into A Data Scientist & AI Expert?
In-depth
Knowledge
Real World
Simulations
Placement
Assistance
Industry Requirements
Top In-Demand Skills
Skills
Top Companies
Amazon
Philips Engineering Solutions
International Business Machines
Microsoft Corporation
Reliance
One97 Communications
Samsung Electronics
Salesforce Inc.
Wipro Limited
Work Now Locally
Zensar
Tata Consultancy Services
Persistent
ANI Technologies Pvt. Ltd.
Groww (Nextbillion Technology)
Go Digit General Insurance
THE ONLY Data science & AI COURSE THATMakes You Industry-Ready & Future-Proof
Prepare for sought-after roles like Data Scientist, Machine Learning Engineer, and AI Specialist with this comprehensive course tailored for the growing data-driven industry.
Train for industry-recognized certifications like TensorFlow Developer and Microsoft AI Engineer, with structured modules, practical projects, and expert mentorship for career success.
Gain real-world experience with live datasets and AI models. Master data analysis, machine learning algorithms, and neural networks through hands-on coding and real-time projects.
Our Curriculum
Expert-Design Course Structure
Foundation Bootcamp – Python & Linux
Mathematics for Data Science (Statistics & Linear Algebra)
Data Analysis with Excel & SQL
Exploratory Data Analysis (EDA)
Python for Data Science (NumPy, Pandas, Visualization)
Feature Engineering & Data Preprocessing
Machine Learning Fundamentals
Model Evaluation & Optimization Techniques
Supervised & Unsupervised Learning
Advanced Machine Learning Algorithms
Ensemble Methods & Model Tuning
Real-World ML Case Studies
Deep Learning with TensorFlow & Keras
Neural Networks & Backpropagation
Computer Vision & CNN Applications
Sequence Models & RNN Architectures
Natural Language Processing (NLP)
Transformers & Modern NLP Architectures
Generative AI & Large Language Models
AI-Powered Applications & Chatbots
Natural Language Processing (NLP)
Transformers & Modern NLP Architectures
Generative AI & Large Language Models
AI-Powered Applications & Chatbots
Big Data & Distributed Computing with PySpark
Data Engineering Fundamentals
Cloud for AI (AWS/Azure/GCP Basics)
Scalable AI Systems Design
MLOps & Model Deployment
CI/CD for Machine Learning
Containerization & Model Serving
Monitoring & Model Lifecycle Management
Business Intelligence & Data Storytelling
Power BI / Tableau for Analytics
AI in Production – Case Studies
Capstone Project – End-to-End AI Solution
Your Guide to Everything
Download Our Brochure for a Complete Overview!
Gain Real-World Data Science & AI Experience!
Career-Boosting Projects
Face Detection
Use Python 3.5(64-bit) with OpenCV for face detection. As an important requirement, learners need to ensure that the system detect multiple faces in a single image while working with essential libraries like cv2 and glob.
AI Chatbot
In this interesting project, work with IBM Watson AI Chatbot. Create your own AI Chatbot and see how IBM Cloud platform helps you to create the chatbot on the backs of possibly the most advanced Machine Learning systems available.
Restaurant Revenue Prediction
Work with Ensemble Model for predicting annual restaurant sales using various features like opening date, type of city, type of restaurant. Work with packages like caret, Boruta, dplyr to analyze the dataset and predict the sales.
Work with PySpark & RDD
Work with PySpark which is a Python API for Spark and use the RDD using Py4j package. As an important part of this project, you will also work with SparkConf provides configurations for running a Spark Application.
Build the Book Recommender Application
Work with packages like a recommended to lab, dplyr, tidy, stringr, corpus and many others to create your book recommender engine using the user-based collaborative filtering model that recommends the books based on past ratings.
Census Project
Work with census income dataset from UCI Machine Learning repository that contains information of more than 48k individuals. Use data handling techniques to handle missing values and also predict the annual income of people.
Housing Price Prediction
In this project on housing price prediction, get practical exposure on how to work with house price dataset and predict the sale price for each house with 79 explanatory variables describing every aspect of the residential houses.
HR Analytics
Learn to work with the HR Analytics dataset and understand how the HR can help you to re-imagine HR problem statements. Understand the features of the dataset and in the end, evaluate the model by metric identification process.
Joke Rating Prediction
Work with the dataset taken from the famous jester online Joke Recommender system and successfully create a model to predict the ratings for jokes that will be given by the users (the same users who earlier rated another joke).
Build Recommendation Engine
Create your own recommendation engine using the SVD algorithm to predict the ratings on Netflix based on the past ratings of the user. Work with various packages like NumPy, pandas, matplotlib, plotly to handle missing values from the dataset.
Data Science & AI Curriculum
Your Journey With Careertronic
Onboarding Session
Intro Session
Start in a customized cohort and forge meaningful connections who will be your allies on this journey.
Connect with a Learning Coordinator
Live Learning Experience
Live Classroom
Engage with instructors and connect with your peers in real-time
Practice with
Assignments & Home Works
1:1
Guidance from Pro Mentors
Cloud Sandbox
Hands-on practice in real-world cloud environment
AI-Assisted
Problem-solving support
Situational
Problem & Solution
Teaching-Assistance
1:1 Teaching Assistant over chat & video call
Live Classroom
Engage with instructors and connect with your peers in real-time
Practice with
Assignments & Home Works
1:1
Guidance from Pro Mentors
Cloud Sandbox
Hands-on practice in real-world cloud environment
AI-Assisted
Problem-solving support
Situational
Problem & Solution
Teaching-Assistance
1:1 Teaching Assistant over chat & video call
Practice with
Assignments & Home Works
1:1
Guidance from Pro Mentors
Situational
Problem & Solution
Live Classroom
Engage with instructors and connect with your peers in real-time
Cloud Sandbox
Hands-on practice in real-world cloud environment
AI-Assisted
Problem-solving support
Teaching-Assistance
1:1 Teaching Assistant over chat & video call
Training & Placement Support
Module-Based Mocks
Practically apply your skills through interview simulations post-module.
Resume Building
Build an impactful, professional resume with expert mentorship.
Placement Training
Focused training to excel in tech recruitment processes.
Placement Support
End-to-end assistance to secure your dream job.
Frequently Asked Questions
General
Who can enroll in this Advanced Data Science & AI course?
This program is designed for graduates, software engineers, analysts, and professionals looking to specialize in Data Science, Machine Learning, and Artificial Intelligence. Basic knowledge of Python and mathematics is recommended but not mandatory.
What does the course cover?
The curriculum spans the complete AI lifecycle — data preprocessing, machine learning, deep learning, NLP, computer vision, generative AI, MLOps, cloud deployment, and scalable AI system design.
What practical expertise will I gain?
You will build production-ready machine learning models, implement deep learning architectures, work with large datasets, and deploy AI solutions using modern tools and cloud platforms.
How does this course improve job prospects?
The program includes real-world projects, portfolio development, resume guidance, and interview preparation aligned with industry standards — preparing you for roles such as Data Scientist, ML Engineer, AI Engineer, or Applied Research Analyst.