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Data Science with AI Training Course - Transform Your Career with Zeblearn

The Data Science with AI training course provides the foundation and the tools needed for success in the field of Data Science and Artificial Intelligence (AI) and opens the door to exciting career opportunities in today's data-driven markets. By utilizing both theory and application, we are able to provide students with an added level of confidence when they enter into this field of work. The structured curriculum of the Data Science with AI course will help each student develop their knowledge from the basic concepts of statistics and Python programming to advanced machine learning, deep learning, and generative AI modules. They will be well prepared to use their knowledge in a business environment and in a manner that meets industry standards and provides immediate value in the workplace.

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KEY POINTS


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Corporate Served

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Countries & Counting

250000+

Professionals Trained

50+

Batches every month

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Hands-on Stack

Tools & Technologies You'll Master

Industry-standard tools used by real data scientists & AI engineers — practised on live projects, not just slides.

Programming & Data

PythonSQL NumPyPandas JupyterExcel

Machine & Deep Learning

scikit-learnTensorFlow PyTorchKeras XGBoostOpenCV

Data & Visualization

Power BITableau MatplotlibSeaborn PlotlySpark

Generative AI & MLOps

OpenAI / GPTHugging Face LangChainDocker MLflowFastAPI
Outcomes

Skills You'll Gain

From cleaning messy data to deploying production AI models — the full data science skillset employers ask for.

Data Wrangling

Clean, transform & engineer features from real-world messy datasets.

Statistics & Probability

Hypothesis testing, distributions & the math behind every model.

Machine Learning

Regression, classification, clustering, ensembles & model tuning.

Deep Learning

Neural networks, CNNs & RNNs with TensorFlow and PyTorch.

NLP

Text processing, embeddings, sentiment analysis & transformers.

Computer Vision

Image classification, object detection & OpenCV pipelines.

Generative AI

LLMs, prompt engineering, RAG & building AI-powered apps.

MLOps & Deployment

Package, serve & monitor models with Docker, FastAPI & MLflow.

Curriculum

Data Science with AI Course Syllabus Structure

Get an overview of the training structure for Data Science with AI, including the data analysis, machine learning, and artificial intelligence skills which are the foundation of modern data science, and what employers expect.

• Introduction to Python
 - Installation and Working with Python
 - Python Variables
 - Python Operators
 - Python Blocks & Syntax

• Python Keywords & Identifiers
 - Comments & Indentation
 - Arithmetic Operators
 - Relational Operators
 - Logical Operators
 - Assignment Operators
 - Membership Operators
 - Identity Operators

• Variables & Data Types
 - Global & Local Variables
 - Type Casting
 - Variable Scope
 - Strings
 - Lists
 - Tuples
 - Dictionaries
 - Sets

• Control Flow & Loops
 - If, Else, Elif
 - Nested Conditions
 - For & While Loops
 - Break, Continue, Pass
 - Range Function
 - Pattern Programs
 - Generators

• Data Structures
 - Lists & Comprehensions
 - Tuples & Operations
 - Dictionaries & Methods
 - Sets & Set Operations

• Functions, Modules & Packages
 - Functions & Arguments
 - Lambda Functions
 - Recursive Functions
 - Modules & Packages
 - Map, Filter & Reduce

• Advanced Python
 - Decorators
 - Iterators
 - Generators
 - Exception Handling

• File Handling & OS Module
 - File Operations
 - Directory Management
 - Path Handling
 - System Operations

• Database & Excel Integration
 - SQL Connectivity
 - Database Operations
 - Excel Read/Write
 - Workbook Management

• AI & LLM Integration
 - PandasAI
 - OpenAI GPT APIs
 - LangChain
 - AutoGen & Code Interpreter

• Statistics Fundamentals
 - Mean, Median, Mode
 - Variance & Standard Deviation
 - Correlation
 - Outlier Detection
 - Box Plots

• Data Analysis with Pandas
 - Data Import & Export
 - Data Cleaning
 - Data Transformation
 - GroupBy Operations
 - Pivot Tables
 - Joins & Merges
 - Missing Value Handling

• NumPy Fundamentals
 - Arrays & Operations
 - Indexing & Slicing
 - Conditional Filtering
 - Statistical Functions

• Visualization with Matplotlib
 - Bar Charts
 - Pie Charts
 - Scatter Plots
 - Histograms
 - Chart Customization

• Visualization with Seaborn
 - Count Plots
 - Scatter Plots
 - Line Plots
 - Box Plots
 - Heatmaps
 - Plot Styling

• Introduction to Statistics
 - Descriptive Statistics
 - Population vs Sample
 - Probability Distributions
 - Normal Distribution
 - Gaussian Distribution
 - Z-Score
 - Correlation & Covariance

• Exploratory Data Analysis (EDA)
 - Data Auditing
 - Missing Value Analysis
 - Outlier Detection
 - Imbalanced Data Handling

• Data Preprocessing & Data Mining
 - Data Preparation
 - Feature Engineering
 - Feature Scaling
 - Feature Transformation
 - Dimensionality Reduction
 - Anomaly Detection

• Predictive Modelling
 - Analytics Lifecycle
 - Business Problem Mapping
 - Modelling Techniques
 - Machine Learning Basics

• SQL Fundamentals
 - SQL Server Installation
 - SSMS Usage
 - SQL Architecture
 - Database Management

• Database Design
 - Database Creation
 - T-SQL Scripts
 - File Groups & Storage

• SQL Tables & Queries
 - CRUD Operations
 - SELECT Queries
 - WHERE, BETWEEN, IN
 - GROUP BY & HAVING
 - ORDER BY

• Data Validation & Constraints
 - Primary Keys
 - Foreign Keys
 - Unique Constraints
 - Check Constraints

• Views & Security
 - Views Creation
 - Schema Binding
 - Data Security

• Indexing & Query Optimization
 - Clustered Indexes
 - Non-Clustered Indexes
 - Query Tuning

• Stored Procedures & Functions
 - Procedures
 - Parameters
 - Dynamic SQL
 - User Defined Functions

• Triggers & Transactions
 - DML Triggers
 - ACID Properties
 - Transaction Management

• AI Integration in SQL
 - Natural Language to SQL
 - SQL Query Explanation
 - Query Optimization with AI

• Excel Fundamentals
 - Data Entry & Formatting
 - Charts & Graphs
 - Sorting & Filtering
 - Data Validation
 - Goal Seek & Scenarios

• Advanced Excel
 - VLOOKUP & HLOOKUP
 - Advanced Sorting
 - Subtotals & Grouping
 - Pivot Tables
 - Advanced Functions

• MIS Reporting & Dashboards
 - Dashboard Design
 - Interactive Dashboards
 - KPI Reports
 - Business Reporting

• AI Integration in Excel
 - Excel Copilot
 - AI Formula Generation
 - Automated Insights
 - Power Automate Integration

• Power BI Fundamentals
 - BI Concepts
 - Power BI Desktop
 - Dashboards & Reports

• Data Transformation
 - Power Query
 - Data Cleaning
 - Star Schema
 - Data Modelling

• DAX (Data Analysis Expressions)
 - DAX Functions
 - Measures
 - Calculated Columns
 - Time Intelligence

• Visualizations
 - Charts & Graphs
 - Maps
 - KPI Cards
 - Custom Visuals
 - Drill Down Reports

• Dashboards & Publishing
 - Dashboard Creation
 - Sharing Reports
 - Security & Permissions
 - Dataset Refresh

• AI Integration in Power BI
 - Smart Narrative
 - Q&A Visual
 - Decomposition Tree
 - Power BI Copilot
 - Azure Cognitive Services

• Tableau Fundamentals
 - Tableau Architecture
 - Tableau Prep Builder
 - Data Preparation

• Data Connections
 - File & Database Connections
 - Joins & Unions
 - Data Blending

• Basic Visual Analytics
 - Bar Charts
 - Line Charts
 - Pie Charts
 - Filtering & Grouping

• Tableau Calculations
 - Built-in Functions
 - Table Calculations
 - LOD Expressions

• Advanced Analytics
 - Parameters
 - Forecasting
 - Clustering
 - Trend Lines

• Geographic Visualizations
 - Maps
 - Spatial Files
 - Geocoding

• Dashboards & Stories
 - Interactive Dashboards
 - Storytelling with Data
 - Device Optimization

• Tableau Online
 - Workbook Publishing
 - Permissions & Security
 - Scheduling

• AI Integration in Tableau
 - Ask Data
 - Explain Data
 - Tableau GPT
 - AI Forecasting
 - Python & R Integration

• Introduction to Machine Learning
 - Machine Learning Concepts
 - ML Categories
 - ML Workflow
 - Industry Use Cases

• Time Series Analysis
 - AR Model
 - MA Model
 - ARMA Model
 - ARIMA Model
 - Stationarity
 - ACF & PACF

• Statistical Foundations
 - Exploratory Data Analysis
 - Univariate Analysis
 - Multivariate Analysis
 - Heatmaps

• Text Mining & NLP
 - Text Processing
 - Natural Language Processing
 - Text Analytics
 - Sentiment Analysis
 - NLP Applications

• Machine Learning Algorithms
 - Regression Models
 - Classification Models
 - Clustering Techniques
 - Model Evaluation

• Model Deployment & Projects
 - Real-world Case Studies
 - End-to-End ML Projects
 - Industry Applications
 - Best Practices

Beyond Learning

We empower you with skills that land your dream job.

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Step by Step

Your Learning Journey

A structured path from absolute basics to deploying your own AI models — no prior coding needed.

01

Foundations

Python programming, problem-solving & the math that powers data science.

PythonStatisticsLinear Algebra
02

Data Analysis & Visualization

Wrangle data with Pandas & SQL, then tell stories with charts & dashboards.

PandasSQLPower BI
03

Machine Learning

Build, evaluate & tune supervised and unsupervised models on real data.

scikit-learnXGBoostModel Tuning
04

Deep Learning

Neural networks for images & text using TensorFlow and PyTorch.

TensorFlowPyTorchCNN / RNN
05

Generative AI & LLMs

Prompt engineering, RAG, fine-tuning & building apps on top of LLMs.

OpenAILangChainRAG
06

Capstone & Deployment

Ship an end-to-end AI project to production & build your portfolio.

DockerFastAPIPortfolio
2026-Ready

Built Around Generative AI & LLMs

This isn't a 2018 data science course. You'll work hands-on with the same large-language-model tooling powering today's AI products — and learn to build with it.

Prompt Engineering

Design reliable prompts & structured outputs for real applications.

LLMs & Transformers

How GPT, Llama & transformer models actually work under the hood.

RAG Systems

Retrieval-augmented generation with vector databases & embeddings.

Fine-Tuning

Adapt open models to your own domain & data.

LangChain & Agents

Chain tools & build autonomous AI agents that take actions.

Ship AI Apps

Turn a notebook into a deployed, working AI product.

Portfolio

Real-World AI Projects You'll Build

Graduate with a portfolio of deployable projects — the kind hiring managers actually want to see.

NLP

Sentiment Analysis Engine

Classify product reviews as positive/negative using transformers.

PythonNLTKBERT
Recommender

Movie Recommendation System

Build a collaborative-filtering engine like Netflix uses.

Pandasscikit-learnSurprise
Computer Vision

Image Classifier

Train a CNN to recognise objects from thousands of images.

TensorFlowKerasOpenCV
Forecasting

Sales Demand Forecasting

Predict future demand with time-series models for a retailer.

ProphetPandasXGBoost
Generative AI

LLM-Powered Chatbot

A RAG chatbot that answers from your own documents.

OpenAILangChainFAISS
Classification

Fraud Detection

Flag fraudulent transactions on imbalanced financial data.

scikit-learnSMOTEPython
Meet Your Mentors

Career-Guided SAP Course Advisors

Our Course Advisors will help guide you through the course selection process based on your individual career goals and the level of your current experience. They will provide the training needed to achieve your goals. The advisors work with each learner to help them develop their own career path.

V

Vinay

Workday HCM Trainer

Workday HCM expert with hands-on experience in core HR, supervisory organizations, business process configuration and condition rules. Trains learners on real-time tenant setup, security groups and end-to-end employee data management for global rollouts.

Sagorika

Sagorika

Workday HCM Trainer

Workday HCM specialist covering core HR, security administration, and absence and leave management. Brings practical project experience in domain and business process security, time-off plans and configurable validations, helping freshers become job-ready consultants.

HM

Harrison Manoj

Workday HCM Trainer

Workday HCM consultant focusing on compensation, advanced compensation and talent management. Experienced in merit cycles, bonus and stock plans, performance reviews and goal management, with a strong emphasis on real interview scenarios and live tenant demos.

B

Bharath

Workday HCM Trainer

Workday HCM trainer experienced in the business process framework, condition rules, notifications and custom validations. Guides learners through tenant configuration, calculated fields and approval routing using real-world MNC implementation use cases.

AS

Arramareddy Sindhu

Workday HCM Trainer

Workday HCM specialist covering staffing models, organization structures, job and position management, and reporting. Skilled in building custom and matrix reports, calculated fields and dashboards that mirror live client requirements.

Jhanvi

Jhanvi

Workday HCM Trainer

Workday HCM expert in core HR, time tracking and employee and manager self-service. Trains on hire-to-retire processes, time entry templates, work schedules and mobile setup, combining theory with hands-on tenant practice.

M

Madhu

Workday HCM Trainer

Workday HCM consultant skilled in benefits administration, payroll integration and data conversion using EIB. Covers open enrollment, benefit event rules and inbound and outbound integrations, preparing learners for real implementation and support projects.

Nagaraju

Nagaraju

Workday Techno Functional Trainer

Workday techno-functional expert covering core connectors, EIB, Workday Studio and web services. Experienced in building and debugging integrations, calculated fields and Report Writer, bridging functional HCM knowledge with strong technical integration skills.

P

Prerna

Workday HCM Trainer

Workday HCM trainer specializing in recruiting and onboarding. Covers job requisitions, candidate pipelines, offer and onboarding business processes and notifications, with practical sessions on configuring an end-to-end hire process.

Ekta

Ekta

Workday HCM / HR Trainer

Workday HCM and HR training specialist covering the complete employee lifecycle from hire to termination. Combines core HCM configuration with HR domain knowledge, focusing on real-time scenarios, security and reporting for job-ready outcomes.

Transform Your Data Science with AI Skills into Real Career Growth!

See how Zeblearn learners have successfully transformed their industry-ready Data Science with AI skills into tangible career growth, practical project experience, and high placement success rates

PLACED
Nishant Kaushik
Nishant Kaushik
EXL_Service_logo.webp
UPSKILLED
manideepak
manideepak
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CAREER SWITCH
Hari Shankar Jha
Hari Shankar Jha
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UPSKILLED
alok kumar singh
alok kumar singh
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PLACED
Jeevak
Jeevak
infosys-logo.webp
UPSKILLED
Abhijit S. Getme
Abhijit S. Getme
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PLACED
Kartik Singh
Kartik Singh
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UPSKILLED
Hemant Khainar
Hemant Khainar
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PLACED
Neeraj Khanna
Neeraj Khanna
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PLACED
Burna Vinay Kumar
Burna Vinay Kumar
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PLACED
Shubham
Shubham
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CAREER SWITCH
Shashikant
Shashikant
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CAREER SWITCH
Khushbu
Khushbu
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Where This Leads

Career Paths & Salaries

Data & AI roles are among the highest-paid in tech. Here's where this program can take you (avg. India CTC).

Data Scientist

High demand
Average CTC
₹12–25 LPA
PythonMLStatistics

Machine Learning Engineer

High demand
Average CTC
₹10–22 LPA
TensorFlowMLOpsDeep Learning

AI / LLM Engineer

High demand
Average CTC
₹14–30 LPA
LLMsLangChainRAG

Data Analyst

High demand
Average CTC
₹6–12 LPA
SQLPower BIExcel

NLP Engineer

High demand
Average CTC
₹11–24 LPA
NLPTransformersPython

Business Intelligence Analyst

High demand
Average CTC
₹7–15 LPA
TableauSQLDashboards
Interview Prep

ZebLearn's Mock Interviews

ZebLearn’s Mock Interviews are an essential tool for success at your interview. Mock Interviews will give you the opportunity to experience the same conditions as the employer will have in the actual interview. Our Mock Interviews provide real-world hiring experiences and give job seekers the chance to understand how to prepare for interviews.

Mock Interview Flow

Why Mock Interviews Matter?

Practice real-world interview scenarios with expert mentors and industry leaders. Improve your confidence and get ready to crack your dream role.

  • One-on-One Mock Interviews
  • Role-Specific Interview Questions
  • Detailed Performance Feedback
  • Communication & Confidence Boost Sessions
  • Resume & LinkedIn Improvement Tips
JOIN MOCK INTERVIEW PROGRAM

FREE
DATA SCIENCE WITH AI
SELF ASSESSMENT

Complete a self-assessment to see how well you know Data Science with AI. Get an assessment based upon the knowledge of a Data Science trainer. After passing, you will receive a certificate for completing the assessment.

Take Free Practice Test
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Hear From Our Certified Learners

Watch how CAP helped students crack exams and land global jobs.

Video Stories

Feedback from Our Students

Watch how ZebLearn's programs helped students achieve their professional goals.

Why Zeblearn

What You Get at Zeblearnindia Learning

Zeblearnindia Learning is a premier institute offering training in SAP, Workday, Data Science, Full-Stack Development, Salesforce, Machine Learning, Software Testing and more — available both online and in classroom, for students, working professionals and entrepreneurs.

  • Expert-Led Training
  • Globally Recognized Certifications
  • 100% Job Placement Support
  • Hands-On Learning
  • Flexible Learning Options
  • Affordable Course Fees
  • Career Growth Opportunities
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Awards & Recognition
Global SAP Training Spotlight Award
India's Leadership Excellence Award 2026
Inspiring Woman Tech Leader of the Year

Global SAP Training Spotlight Award

Brandman India · 2026

Certificate
After You Complete

Get exclusive access to career resources upon completion

Unlock mock interviews, LMS access and dedicated career support once you finish the program.

Evaluation & Practice Sessions

Participate in expert-led mock interviews and skill evaluation sessions after program completion.

Learning Simulation (LMS)

Lifetime access to LMS with recorded sessions, hands-on practice, and updated learning resources.

Career & Placement Assistance

Resume building, profile optimization, interview preparation, and placement guidance from industry experts.

Live Sessions

60-Minute Free Webinar with Certificate

Join our live sessions and earn a free certificate. Limited seats available!

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Master Data Science with AI Training with Expert Guidance and Flexible Batches at ZebLearn

StatusDateTypeScheduleTime
SOLD OUT 13 Jul 2026 Weekend SAT - SUN (08 Weeks) 18:00 - 20:00
FILLING FAST 18 Jul 2026 Weekday MON - FRI (08 Weeks) 08:00 - 10:00
AVAILABLE 23 Jul 2026 Weekend SAT - SUN (08 Weeks) 10:00 - 12:00
Limited Time Offer

₹120,000

75,000

You save ₹45,000 Enroll Now, Pay Later

EMI options available · No-cost study now, pay later

FAQ

Frequently Asked Questions

Find answers to frequently asked questions about our Data Science with AI courses and certifications.

The Data Science with AI course at Zeblearn India is a comprehensive program covering statistics, machine learning, deep learning, and artificial intelligence applied to real business problems. It is ideal for graduates, working professionals, analysts, and career changers who want to enter the high-demand data domain. The curriculum blends strong theoretical foundations with hands-on projects so learners build a job-ready portfolio.

You will master Python along with essential libraries like NumPy, Pandas, Scikit-learn, TensorFlow, and Keras, plus data visualization tools and SQL for data handling. The course also covers model building, evaluation, and deployment in real production environments. By the end, you will confidently work across the full data science and AI workflow.

No prior coding experience is mandatory, as Zeblearn India begins with Python and statistics fundamentals before advancing to machine learning and AI concepts. A basic comfort with mathematics and logical reasoning helps you progress faster. The trainers ensure that both beginners and experienced professionals can follow along through structured, step-by-step learning.

The course includes capstone projects such as predictive analytics models, customer churn prediction, natural language processing applications, and recommendation systems. These projects use genuine datasets to simulate real industry challenges. Completing them strengthens your portfolio and demonstrates practical, hands-on expertise to potential employers during interviews.

Yes, Zeblearn India offers dedicated placement support including resume building, mock interviews, portfolio reviews, and connections with hiring partners. The career guidance team works closely with each learner to align their skills with industry expectations. Many graduates have transitioned into roles such as Data Scientist and AI Engineer at reputed companies.

The Data Science with AI course is offered in flexible formats including live online sessions, classroom training, and self-paced modules to suit different schedules. The program typically spans several months with weekly sessions, hands-on labs, and mentorship hours. This balanced structure ensures learners absorb concepts thoroughly while building practical skills.

Yes, upon successful completion you receive an industry-recognized certificate from Zeblearn India that validates your skills in data science and artificial intelligence. This certification enhances your professional credibility and strengthens your resume. It signals to employers that you have practical, project-based experience in building and deploying data-driven AI solutions.

After completing the course, you can pursue roles such as Data Scientist, AI Engineer, Machine Learning Engineer, Data Analyst, and Research Analyst. These positions are in high demand across industries like healthcare, finance, e-commerce, and technology. With strong project experience and certification, you become a competitive candidate in the data job market.

Unlike a standard data science program, this course integrates advanced artificial intelligence concepts such as deep learning and neural networks alongside core data science skills. This dual focus prepares you for both analytical and AI-driven roles. Zeblearn India also emphasizes real-world deployment, ensuring you learn how AI models actually function in production.

Throughout the course, you receive guidance from experienced industry mentors who provide personalized feedback on projects, doubt-clearing sessions, and career advice. The mentorship model ensures you never feel stuck and can apply concepts confidently. This continuous support is one of the key reasons learners successfully transition into rewarding data science and AI careers.
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