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Join Zielotech Institute's Data Science with Generative AI course — empowering you with industry-relevant skills and knowledge to excel in the dynamic field of AI.
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About Program
Zielotech Institute

ProgramZielotech’s Data Science with AI program is a 4-month, hands-on training course that covers Python,Machine Learning, Deep Learning, NLP, and AItools like TensorFlow, Keras, and scikit-learn. You’llalso learn SQL, Power BI, and MLOps with ZenML,and work on real-world projects to build a strongportfolio and job-ready skills.

CRITERIA FOR ELIGIBILITY

For admission to this Post Graduate Program in DataScientist, candidates should have:
  • A bachelor’s degree
  • Fresher’s also can apply
  • 1+ years of work experience is preferable
  • Basic understanding of object oriented programming is preferable

COURSE CURICULUM FOR Data Science with AI

Module 1:Python Programming & Data Handling NumPyModule

Introduction & Python Basics
  • What is Data Science & AI?
  • Installation: Anaconda, Jupyter, Google Colab
  • Python basics: variables, data types, operators
  • Control statements: if-else, loops
  • Functions, Lambda, Modules, Packages
Data Structures & File Handling
  • Lists, Tuples, Sets, Dictionaries
  • List comprehension
  • File operations: read, write
  • Exception handling
NumPy & Pandas for Data Analysis
  • NumPy arrays, indexing, slicing
  • Pandas: Series, DataFrames
  • Data import/export (CSV, Excel)
  • Data wrangling: merging, joining, grouping
Exploratory Data Analysis (EDA)
  • Handling missing values and duplicates
  • Outlier detection and treatment
  • Descriptive statistics
  • Correlation and covariance

Module 2:Visualization & Machine Learning

Data Visualization
  • Matplotlib: line, bar, scatter plots
  • Seaborn: distribution, categorical, relational plots
  • Heatmaps, pairplots, styling
Introduction to Machine Learning
  • ML lifecycle & types
  • Supervised vs Unsupervised Learning
  • Linear Regression
  • Evaluation Metrics: MSE, RMSE, R²C
Unsupervised Learning & Feature Engineering
  • K-Means Clustering
  • Hierarchical Clustering
  • Principal Component Analysis (PCA)
  • Label encoding, One-hot encoding, Feature scaling
Classification Algorithms
  • Logistic Regression
  • K-Nearest Neighbors (KNN)
  • Decision Trees
  • Random Forest

Module 3:Deep Learning & NLP

Introduction & Deep Learning
  • Neural Network architecture: input, hidden, output
  • Activation functions: ReLU, Sigmoid, Softmax
  • Loss functions & optimizers
TensorFlow & Keras Basics
  • Building and training models
  • Evaluating accuracy
  • CNN: image classification with examples
RNN & Time Series Data
  • Recurrent Neural Networks (RNN)
  • LSTM networks for sequence data
  • Use cases: stock price, weather forecasting
Natural Language Processing (NLP)
  • Text preprocessing: tokenization, stemming, lemmatization
  • TF-IDF, Bag of Words
  • Sentiment analysis
  • Word2Vec, GloVe
  • Introduction to Transformers and BERT (basic)

Module 4:Time Series, Model Deployment & Capstone Project

Time Series Forecasting
  • Components of time series
  • ARIMA model
  • Facebook Prophet library
  • Visualizing predictions
Model Tuning & Evaluation
  • Confusion matrix, Accuracy, Precision, Recall
  • ROC Curve, AUC
  • Cross-validation
  • GridSearchCV & RandomizedSearchCV
Model Deployment
  • Saving models with Pickle/Joblib
  • Building API using Flask
  • Deploying on Heroku / AWS / Streamlit
Capstone Project
  • Real-world end-to-end project
  • Dataset selection
  • EDA, model building, and tuning
  • Deployment with dashboard
  • Presentation and certificate distribution

Module 5:Fundamental of SQL

Introduction to Sql
  • Introduction to Databases and SQL
  • Understanding Tables, Rows, Columns, and Data Types
  • Basic Queries using SELECT
  • Filtering Data with WHERE
  • Sorting Results using ORDER BY
  • Limiting Results with LIMIT / TOP
Data Aggregation & Functions
  • Using Aggregate Functions: COUNT, SUM, AVG, MIN, MAX
  • GROUP BY and HAVING Clauses
  • Working with Aliases and Expressions
Joins and Relationships
  • Understanding Primary and Foreign Keys
  • INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN
  • Joining Multiple Tables
Subqueries and Advanced Filtering
  • Subqueries and Advanced Filtering
  • IN, EXISTS, and NOT IN Clauses
  • CASE Statements for Conditional Logic

Module 6:Power BI

Introduction to Power BI
  • Introduction to Power BI Ecosystem (Desktop, Service, Mobile)
  • Installing Power BI Desktop
  • Overview of Interface and Panels
  • Connecting to Data Sources (Excel, CSV, SQL Server)
Data Preparation with Power Query
  • Data Cleaning and Shaping Basics
  • Removing Errors and Duplicates
  • Splitting/Combining Columns
  • Append and Merge Queries
  • Using Applied Steps and Query Editor
Publishing and Sharing
  • Publishing Reports to Power BI Service
  • Creating and Sharing Dashboards
  • Introduction to Row-Level Security
  • Exporting Reports to PDF or PowerPoint
Visualizations and Dashboards
  • Creating Bar, Line, Pie Charts
  • Using Cards, Tables, and KPI Indicators
  • Filters, Slicers, and Drill-Throughs
  • Custom Visuals and Themes
Data Modeling
    •Understanding Relationships between Tables
    •Creating a Star Schema
    •Basics of Normalization
    •Introduction to DAX (Data Analysis Expressions)
    •Simple Calculated Columns
    •Basic Measures

Module 7:Cloud With AWS

Introduction & Python Basics
    •Model deployment storage (S3)
    •compute (EC2)
    •database (RDS)

Module 8:Introduction to MLOps using ZenML

Introduction to MLOps using ZenML
    •What is MLOps and Why It Matters
    •ZenML Concepts: Pipelines, Steps, Artifacts
    •Creating a Simple ML Pipeline
    •Versioning and Reproducing Experiments
    •Integration with MLflow and Git
    •Deploying a ZenML Pipeline on Cloud / DockerModel deployment

Enroll Now – New Batch Starts 20th June 2025!

🎉 Avail up to 10% discount till 31st May

📅 Duration: 4 Months

💰 Course Fee: ₹40,000/-

what we do

what you will get with us

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Trust & Transparency
At Zielotech Institute, we are committed to building lasting relationships with our learners through honesty, clarity, and consistent delivery. As a leading training provider in Pune, we prioritize full transparency—keeping you informed at every stage with clear reports, open communication, and no hidden agendas.
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Expert Team
At Zielotech Institute, our in-house team of seasoned data scientists, AI engineers, and academic professionals is dedicated to your growth. With a curriculum designed to bridge the gap between theory and real-world application, our instructors bring a wealth of industry experience and academic excellence to the classroom.
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Technology-First Approach
At Zielotech Institute, we blend technical excellence with strategic insight to provide a cutting-edge learning experience. Our "Data Science with AI" program leverages the latest tools and technologies to prepare you for the dynamic world of data science and artificial intelligence.
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Uncompromised Quality
At Zielotech Institute, we are dedicated to delivering excellence in education. Our "Data Science with AI" program is meticulously designed to meet the highest standards, ensuring that our students gain practical, industry-relevant skills.
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Pune-Based, Globally Minded
At Zielotech Institute, we take pride in our roots in Pune, India—a city renowned for its vibrant tech ecosystem and educational excellence. Our "Data Science with AI" program is designed to harness local insights while embracing a global perspective, preparing students to excel in the international tech landscape.
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Your All-in-One Career Accelerator in Data Science & AI
At Zielotech Institute, we offer a holistic learning experience designed to equip you with the skills and knowledge required to excel in the field of data science and artificial intelligence. Our "Data Science with AI" program integrates theoretical foundations with practical applications, ensuring that you are well-prepared for the challenges of the tech industry.


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steps

main milestones

01
milestone
Foundation Building
02
foundationbuilding
Analytical Mindset
03
analyticalmindset
AI & Machine Learning Mastery
04
ai_machine
Real-World Application & Career Prep
At Zielotech Institute, our Data Scientist with AI course follows a structured path designed for maximum impact. We begin with Foundation Building, where students gain core Python skills and get comfortable with tools like Jupyter and Colab. In the Analytical Mindset phase, learners master data structures, file handling, and essential libraries like NumPy and pandas through hands-on projects. Next, we enter the AI & Machine Learning Mastery stage, focusing on building, training, and evaluating real-world machine learning models. Finally, the Real-World Application & Career Prep phase includes portfolio development, capstone projects, and placement support—ensuring you're fully job-ready for a successful career in data science and AI.
prices

Course Fees

At Zielotech Institute, we are dedicated to providing exceptional value through our comprehensive Data Scientist with AI program. This course is meticulously designed to align with current industry standards, ensuring you acquire practical skills that are in high demand. Whether you're embarking on a new career path or aiming to enhance your expertise, our expert-led training offers the knowledge and experience necessary to succeed in the dynamic field of data science and artificial intelligence.

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PRICE
₹40000/-
  • Exclusive-Mentoring.
  • One To One Session.
  • 360 Degree Career Support
  • Faculty From Top Corporates
  • Global Access For Job Opportunities
  • Mock Interview To Make YouCorporate Ready.
  • Industry Driven Case Study.
  • 200+ Hours Of Live LearningSession.
  • Placement Opportunity.
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What Our student's Say

FAQS

Questions About the Course?
Here Are Your Answers

Still curious? Reach out to our team for detailed guidance.

It’s a comprehensive, hands-on program designed to equip students with the skills and tools needed for a successful career in Data Science and AI. It covers Python, machine learning, deep learning, data analytics, SQL, Power BI, and cloud basics.
Anyone with a passion for data and technology! Whether you're a fresher, IT professional, engineer, or from a non-tech background, our beginner-friendly curriculum ensures a smooth learning path.
You'll work on real-world projects including EDA, predictive modeling, machine learning systems, Power BI dashboards, and deploying models using MLOps tools like ZenML.
Yes. We offer career guidance, resume building, mock interviews, and direct job referrals. Our goal is to make you job-ready by the time you complete the program.
We offer flexible batch timings morning 7AM TO 9AM and in Evening 7PM TO 9PM, weekday. The course is available in online mode at our Pune center, so you can choose the format that suits you best.
Simply contact us via phone, WhatsApp, or visit our center in Pune. Our team will walk you through the registration steps and batch timings.