Generative AI

Beginner to Mastery

Mastering in Data Science & Generative AI

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Data Science, Generative AI & Agentic AI Mastery

Practical Training on Modern AI Tools & Technologies

Advanced Specialization in AI, Automation & Intelligent Systems

Hands-on projects and real-world case studies for industry readiness.

Group Enrollment with Friends or Colleagues
Mastering in Data Science & Generative AI

Course Duration

650 Hours

Next Batch

16 May 2026

Course Material

Live. Online. Interactive.

Expert training from experienced AI and industry professionals.

Career-focused curriculum aligned with modern AI and industry demands.

Flexible learning paths designed for diverse career and skill goals.

Networking opportunities with AI professionals, mentors, and industry experts.

Highlight Mastering in Data Science & Generative AI

KEY HIGHLIGHTS OF MASTERING IN DATA SCIENCE & GENERATIVE AI PROGRAM

  • Weekly sessions with industry professionals
  • Dedicated Learning Management Team
  • 650 hours of hands-on learning experience
  • Over 240 hours live sessions spread across 11 months
  • 240 hours of self-paced Learning
  • Learn from IIT Faculty & Industry experts
  • More than 50+ industry-related projects and case studies
  • Personalised mentorship sessions with industry experts
  • 24*7 Support
  • Dedicated Learning Management Team
  • 1:1 Mock Interview
  • No-Cost EMI Option
  • Designed for both working professionals and fresh graduates
  • High Demand and Career Opportunities
  • Competitive Edge and Innovation
  • Problem-Solving and Critical Thinking

WHY JOIN MASTERING IN DATA SCIENCE & GENERATIVE AI PROGRAM?

In-Demand Skills

Gain expertise in Data Science, Machine Learning, Generative AI, and Agentic AI with modern industry-focused technologies.

Hands-On Learning

Acquire practical experience with GPT, RAG, AI Agents, and real-world AI business applications.

Career Advancement

Boost your career opportunities with a curriculum aligned to current AI and industry demands.

Expert Instruction

Learn from experienced AI professionals with strong industry and real-world implementation experience.

UPCOMING BATCH:

16 May 2026

SkillzRevo

SkillzRevo Solutions

30 MINUTE MEETING

Web conferencing details provided upon confirmation.

Corporate Training, Enterprise training for teams

Batch schedule

BatchBatch Type
Online Live Instructor Led SessionFull-Time
Online Live Instructor Led SessionPart-Time

Regional Timings

BatchBatch Type
IST (India Standard Time)09:00 PM–12:00 AM
Bahrain, Qatar, Kuwait, Saudi Arabia06:30 PM–09:30 PM
UAE / Oman07:30 PM–09:00 PM

Mastering in Data Science & Generative AI OVERVIEW

Mastering in Data Science & Generative AI is a Complete Data Science and AI program, designed as a Data Science and Machine Learning course and an AI and Machine Learning course with hands-on projects. It is ideal for learners seeking a Data Science course with Python, an Artificial Intelligence course for beginners, a job oriented Data Science course and an online AI course in India. This industry oriented Data Science and AI program builds strong foundations in Python, R, statistics and machine learning, while advancing skills in computer vision, NLP and deep learning. Learners gain practical exposure to SQL, Tableau, Power BI and Advanced Excel to analyse, visualise and interpret real business data. The program also introduces modern Generative AI technologies, enabling learners to design intelligent solutions and drive data-driven decision making across industries.

ENROLL NOW, BOOK YOUR SEAT & AVAIL UPTO 30% FEE WAIVER

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Mastering in Data Science & Generative AI Objectives

This program is designed to equip learners with a strong understanding of foundational and advanced concepts in Data Science, Artificial Intelligence, Generative AI, and Agentic AI. The course provides practical training in Python, R, Statistical Analysis, Machine Learning, and Deep Learning while developing expertise in specialized domains such as Computer Vision, NLP, Multimodal AI, and intelligent automation systems. Learners gain hands-on experience with industry tools including SQL, Tableau, Power BI, and Advanced Excel to collect, analyze, visualize, and interpret business data effectively. The program also introduces advanced Generative AI technologies including GPT, RAG, Prompt Engineering, LangChain, and AI Agents, enabling learners to build innovative AI-driven solutions for real-world applications. Ultimately, the course prepares learners for high-growth careers and leadership opportunities in Data Science, AI, and next-generation intelligent systems across industries.

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Why Learn Mastering in Data Science & Generative AI ?

Comprehensive Skill Development

Gain expertise in Data Science, Machine Learning, Deep Learning, Generative AI, and Agentic AI technologies.

Cutting-Edge Technology

Learn modern AI technologies including GPT, RAG, Multimodal AI, AI Agents, and intelligent automation systems.

Practical Application

Develop hands-on experience with Python, SQL, Tableau, Power BI, AI tools, and real-world business applications.

Career Advancement

Prepare for high-growth AI and Data Science careers with an industry-focused and job-oriented curriculum.

Interdisciplinary Approach

Build expertise across Statistics, Programming, Machine Learning, NLP, Computer Vision, and AI automation.

Industry-Relevant Training

Stay ahead with training aligned to the latest trends in Data Science, Generative AI, and Agentic AI.

Global Opportunities

Unlock career opportunities across industries with in-demand AI and data-driven technology skills.

Capstone Projects & Real Case Studies

Work on industry-based projects, AI case studies, and intelligent automation solutions for practical exposure.

Program Advantages

Expert-led training from industry professionals with real-world Data Science and AI experience.

Learn from experienced mentors with expertise in analytics, automation, and AI technologies.

Hands-on learning through practical projects using Python, SQL, Tableau, Power BI, and AI tools.

Interdisciplinary approach covering Statistics, Programming, Machine Learning, Deep Learning, and AI systems.

Comprehensive curriculum including NLP, Computer Vision, Generative AI, RAG, and AI Agents.

Work on real-world projects, AI case studies, and intelligent automation applications.

Career-focused curriculum aligned with current industry demands and emerging AI job roles.

Develop practical problem-solving skills to build intelligent solutions for real business challenges.

Description

Mastering in Data Science & Generative AI program Certifications

Mastering in Data Science & Generative AI Curriculum

Lecture 01: Microsoft Excel Overview, Basic Navigation and Usage, Cell referencing, Formatting Excel, Advanced Formatting, Shortcuts and Basic Formulas
Lecture 02: Sorting, Filtering, Advanced Filtering, Charts, Types of Charts, Advanced Charting Techniques and Pivot Tables, Creating, Grouping and Summarizing Data
Lecture 03: Lookup Function, Vlookup, Using VLOOKUP with Multiple, Criteria Hlookup, Combining HLOOKUP with Other Functions, Match Function, Using MATCH for Dynamic Referencing
Lecture 04: Introduction to VBA & Macros, Understanding VBA basics, Debugging and error handling, Advanced VBA Techniques, Integrating VBA with Excel functions, Designing Effective Dashboards, Building a Dashboard
Lecture 05: Understanding the basics of data analysis, Data Import and Cleaning, Using Formulas and Functions, Data Visualization, Descriptive statistics
Lecture 06: Advanced Data Analysis Techniques, DAX, Scenario and Sensitivity Analysis, Dashboards and Reports, Case Studies and Real-World Applications, Practical examples of data analysis in Excel
Lecture 08: Introduction to Python, Why Python, Variables, Data Types, Type castings, Strings, Indexing
Lecture 09: Operators and Conditional Statements, Looping Statements and its Control Statement
Lecture 10: Lambda Functions, *args, **kwargs, Functions
Lecture 11: Data Structures - List, Tuple and List Comprehensions
Lecture 12: Data Structures - Set and Dictionaries
Lecture 13: Classes, Objects and Constructors, Inheritance
Lecture 14: Polymorphism, Abstraction and Encapsulation
Lecture 15: Connecting to Databases, Establishing connections to databases, Executing SQL Queries, ORM (Object-Relational Mapping), Working with NoSQL Databases
Lecture 16: Introduction of Numpy, and Pandas
Lecture 17: Introduction of Seaborn and Matplotlib
Lecture 18: Introduction to Statistics, Descriptive Statistics, Sample, Population, Major of Central Tendency, Standard Deviation
Lecture 19: Variance, Range, IQR, Outliers, Correlation, Covariance Skewness, Kurtosis, Probability
Lecture 20: Probability, Probability distributions, Central Limit Theorem, Binomial and Poisson Distribution
Lecture 21: Normal Distribution, Type I & Type II Error
Lecture 22: T-test, Z-test, Hypothesis Testing Interview Questions
Lecture 23: Introduction to ML, Types of variables, Encoding, Normalization, Standardization, Types of ML, Linear Regression
Lecture 24: Linear Regression, Logistic Regression, SVM, KNN, Naïve Bayes, Decision Tree, Random Forest
Lecture 25: Mean Absolute Error, Mean and Root Mean Square Error, Confusion Matrix, R2 Score, Adjusted R2 Score, F1 Score
Lecture 26: Classification Report, AUC ROC, Accuracy, Ensemble Techniques, Random Forest, Xgboost
Lecture 27: Unsupervised Machine Learning, PCA, Clustering, k-Means Clustering and Hierarchical Clustering
Lecture 28: Introduction to Neural Network, Forward Propagation, Activation Function
Lecture 29: Activation Function (Linear, Sigmoid, Relu, Leaky Relu), Optimizers, Gradient Descent, Stochastic Gradient Descent
Lecture 30: Mini batch Gradient Descent, Adagrad, Padding, Pooling, Convolution
Lecture 31: Checkpoints and Neural Networks Implementation and Introduction to Time Series Analysis
Lecture 32: Various components of the TSA, Decomposition Method (Additive Method and Multiplicative)
Lecture 33: ARMA and ARIMA
Lecture 34: Introduction to R, Installing R and RStudio, Basics of RStudio IDE, Writing and executing R scripts, Variables and Data Type in R, Operators
Lecture 35: Creating vectors, Vector indexing and slicing, Vectorized operations, Creating matrices, Matrix operations, Matrix indexing, Creating lists, Creating data frames, Indexing and manipulating lists and data frames
Lecture 36: Conditional statements, Loops, Applying functions, Flow Control, Functions in R, Object-Oriented Programming in R, S3 and S4 classes, Methods and inheritance, Creating and using objects
Lecture 37: Creating and using factors, Working with dates and times, Reading and writing (CSV files and Excel files), Introduction to the readr and readxl packages
Lecture 38: Introduction to dplyr, Selecting, filtering, and arranging data, Grouping data, Summarizing data with summarize and mutate
Lecture 39: Data Manipulation in R - dplyr, Data Manipulation & Data Visualization in R - tidyr
Lecture 40: Introduction to Text Mining, Text Preprocessing, Document-Term Matrix (DTM) and TF-IDF, Exploratory Text Analysis, Sentiment Analysis
Lecture 41: Install Necessary Packages, Create a New Package, Package Structure, Writing Functions, Documenting Functions, Testing Your Package, Building and Checking and Sharing Your Package
Lecture 42: Introduction to APIs, Using the 'httr' Package, GET & POST Request, and Authentication, Introduction to Web Scraping, Using the 'rvest' Package, Handling Dynamic Content, Handling Sessions and Cookies
Lecture 43: Connecting to Databases in R, Packages Installation, Connect to Database, Execute Queries, Write Data, Disconnect and Error Handling
Lecture 44: Project Session
Lecture 45: Orientation Session (Introduction to Business Intelligence
Lecture 46: Basics of Database, Types of Database, Data Types, SQL Operators, Expression, Create, Insert
Lecture 47: Drop, Truncate, Delete, Alter, Update, Select, Range, Operator, IN, Wildcard, Like, Clause
Lecture 48: Constraint, Aggregation Function, Group by, Order by, Having
Lecture 49: Joins, Case, Complex Queries, Doubt Clearing
Lecture 50: Tableau Desktop, Tableau products
Lecture 51: Data import, Measures, Filters
Lecture 52: Data transformation, Marks, Dual Axis
Lecture 53: Manage worksheets, Data visualization, Dashboarding, Project
Lecture 54: Power BI Platform, Process Flow
Lecture 55: Features, Dataset, Bins
Lecture 56: Pivoting, Query Group, DAX Function
Lecture 57: Formula, Charts, Reports, Dashboards
Lecture 58: Bookmarks and Buttons, Conditional Formatting and Sorting, and Report Layout and Interaction
Lecture 59: Tabular Visuals, Modelling and Calculations, Advanced Data Modelling Scenarios and DAX in Power BI
Lecture 60: Project Session
Lecture 61: Orientation Session (Introduction to Artificial Intelligence)
Lecture 62: Introduction to Image Processing, Feature Detection, OpenCV
Lecture 63: Convolution, Padding, Pooling & its Mechanisms
Lecture 64: Forward Propagation & Backward Propagation for CNN
Lecture 65: CNN Architectures like AlexNet, VGGNet, InceptionNet, ResNet, Transfer Learning
Lecture 66: Introduction to Text Mining, Text Processing using Python and Introduction to NLTK
Lecture 67: Sentiment Analysis, Topic Modeling (LDA) and Named Entity Recognition
Lecture 68: BERT, Text Segmentation, Text Mining, Text Classification
Lecture 69: Automatic Speech Recognition, Introduction to Web Scraping
Lecture 70: RL Framework, Components of RL Framework, Examples of Systems
Lecture 71: Types of RL Systems, Q-Learning
Lecture 72: Project Session
Lecture 73: Orientation Session (Introduction to Gen AI)
Lecture 74: Evolution of AI (Rule-based → ML → GenAI → Agentic AI), Hype vs Reality, Industry Adoption of GenAI, Ethical & Responsible AI
Lecture 75: How Generative AI Works: LLM intuition, Tokens, Embeddings, Context Window, Capabilities & Limitations (Hallucination, Bias, Cost)
Lecture 76: Multimodal AI Systems: Text, Image, Tables, Documents. Industry Applications. Case Study: Invoice and financial report understanding
Lecture 77: Core Generative AI Tasks: Text generation, Classification, Summarization, Question Answering. Hands-on Case Study: Resume screening and document summarization
Lecture 78: Prompt Engineering Fundamentals: Zero-shot, Few-shot, Role Prompting, Prompt Templates. Case Study: Marketing content generation
Lecture 79: Advanced Prompting: Prompt Debugging, Guardrails, Prompt Evaluation, Response Optimization. Hands-on Case Study: Improving incorrect chatbot responses
Lecture 80: Retrieval-Augmented Generation (RAG): Embeddings, Vector Search, RAG Architecture. Hands-on Case Study: Chat with company policy documents
Lecture 81: Multimodal RAG: Text + Image + Table Retrieval, Document Intelligence. Case Study: Invoice and scanned document Q&A system
Lecture 82: Introduction to Agentic AI: Agent vs Chatbot Workflow, Agent Lifecycle, Levels of Autonomy, Human-in-the-loop Systems. Case Study: AI Research Assistant
Lecture 83: Agent Architecture & Design Patterns: Planner-Executor-Evaluator, ReAct Pattern, Tool-Use Pattern, Reflection. Hands-on Case Study: Recruiter Agent design
Lecture 84: Agent Memory, Tools & Planning: Short-term vs Long-term Memory, Tool Calling, Feedback Loops. Case Study: Customer support agent with memory
Lecture 85: Agent Framework Internals (Conceptual): How frameworks manage chains, agents, tools and memory. Positioning of LangChain. Design considerations without deep syntax
Lecture 86: LLM Fine-Tuning from an Industry Perspective: Prompting vs RAG vs Fine-Tuning, PEFT and LoRA concepts, Cost, Risk and Governance Considerations
Lecture 87: No-Code and Low-Code Agentic AI: Use cases, Benefits and Limitations, Visual Agent Design. Demo: No-code content or support agent
Lecture 88: Capstone Design Session: End-to-End Generative AI and Agentic AI Solution. Hands-on Project: AI Customer Support Supervisor Agent

Mastering in Data Science & Generative AI Skills Covered

Proficiency in Programming
Statistical Analysis
Advanced Machine Learning Techniques
Deep Learning and AI Techniques
Computer Vision Techniques
Natural Language Processing Techniques
Reinforcement Learning Techniques
Advanced Data Analysis in Excel
Data Analysis and Visualization
SQL Querying and Database Management
Transformer Architectures & Language Modeling
Prompt Engineering & AI Automation
Generative AI & Multimodal AI Systems
Retrieval-Augmented Generation (RAG)
AI Agents & Agentic Workflow Development
LangChain & Intelligent AI Applications

Mastering in Data Science & Generative AI Tools Covered

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Mastering in Data Science & Generative AI Program Benefits

Mastering in Data Science & Generative AI Program Benefits Illustration

CAREER OPPORTUNITIES AFTER THIS COURSE

AI Product Manager Salary Range

Min

$100,000

Average

$145,000

Max

$190,000

Projects

MASTER GANS, TRANSFORMERS & DEEP LEARNING WITH REAL PROJECTS

Practice Essential Tools

Designed By Industry Experts

Get Real-world Experience

Machine Learning
NO. OF PROJECTS: 10
Deep Learning
NO. OF PROJECTS: 10
Generative AI
NO. OF PROJECTS: 8

Capstone Projects of this Program

Multimodal Text-to-Image Generator

A system that creates high-quality, realistic images from descriptive text inputs, blending multiple data types for creative visual output.

AI Music Composer with Genre Adaptation

An AI tool that generates original musical compositions while adapting to specific genre styles, tempo, and mood preferences.

Realistic Deepfake Video Synthesizer

A tool that realistically manipulates and synthesizes video content to create authentic-looking deepfake footage for various applications.

Personality-Driven Conversational AI Assistant

A chatbot designed to interact with a distinct and consistent personality, providing a more natural and engaging user experience.

Artistic Style Transfer Engine for Videos

A program that applies the artistic style of a source image to every frame of a video, creating a new, stylized visual experience.

Context-Aware Text Summarization System

An advanced system that generates concise summaries of long texts by understanding the document's broader context and key information.

Voice Cloning and Speech Style Transfer Tool

A tool that replicates a speaker's voice and transfers a specific speech style or emotion to new synthesized audio content.

Interactive AI Storyteller with Image Generation

An AI that collaboratively creates stories with users, dynamically generating scenes and characters based on a developing narrative.

2D Sketch to 3D Object Generation Pipeline

A seamless workflow that converts simple two-dimensional sketches into detailed, three-dimensional models for creative and design purposes.

Synthetic Data Generator for Model Training

A system that produces large and diverse datasets for machine learning models, overcoming data scarcity for effective training.

AI-Powered Video Subtitle Generator and Translator

An automated solution that transcribes spoken language in videos and translates it into accurate subtitles for global accessibility.

Generative Design Tool for Product Prototyping

An AI application that rapidly generates numerous product design prototypes based on a set of constraints and functional requirements.

RAG-based Research Assistant (Retrieval-Augmented Generation)

An intelligent assistant that answers complex queries by retrieving relevant information from large documents and generating coherent responses.

Multilingual Chatbot with Memory and Personality

A conversational agent that can communicate in multiple languages while maintaining a consistent personality and recalling past interactions.

AI-Powered Comic Strip Generator from Text Prompts

A tool that creates unique comic strips by converting user text prompts into sequential images with a consistent artistic style.

Explainable AI Engine for Text Classification

An AI system that classifies text and provides clear, understandable reasons for its decisions, ensuring transparency and trust.

Autonomous Slide Generator from Research Papers

An AI that automatically extracts key findings and data from research papers to create well-structured, presentable slide decks.

AI Assistant for Code Generation and Explanation

A helpful tool that writes code snippets and explains complex programming logic in simple terms, assisting developers with their tasks.

AI-Driven Marketing Content Generator Across Formats (text, image, video)

A unified platform that produces marketing materials in various formats, including text, images, and videos, from a single campaign brief.

Real-Time Emotion Detection and Response AI System

A system that identifies human emotions from facial expressions or speech and generates appropriate, empathetic responses in real time.

Job Obligation After This Course

WE CAN APPLY FOR JOBS IN

Build interactive dashboards and reports using Tableau, Power BI, and Excel to deliver business insights effectively.

Develop, train, and deploy AI and Generative AI solutions to solve real-world business challenges.

Collect, clean, process, and analyze data to generate meaningful insights for decision-making.

Write and optimize SQL queries for efficient database management and data analysis tasks.

Apply statistical and analytical techniques to identify patterns, trends, and business opportunities.

Support organizations with data-driven insights for strategic planning and operational improvements.

Automate workflows and repetitive tasks using Python, AI tools, and intelligent automation systems.

Collaborate with business teams, management, and technical stakeholders to implement AI-driven solutions.

Stay updated with the latest advancements in Data Science, Generative AI, Agentic AI, and emerging technologies.

Companies Hiring for this Course

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Admission Process

The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.

Course Fees & Financing

Course Fees

Upto

30%

Off

In USD

$1999

In INR

1,74,999

Inclusive of All Taxes

Enroll Now →
Payment Partners

We partnered with financing companies to provide competitive finance options at 0% interest rate with no hidden costs.

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UPCOMING BATCHES/PROGRAM COHORTS

BatchDateTime (IST)Batch Type
Online Live Instructor Led Session16 May 20269 PM to 12 AMBatch 1
Online Live Instructor Led SessionVery Soon9 PM to 12 AMBatch 2

COMPARISON WITH OTHERS

FeatureOur CourseCOMPETITOR ACOMPETITOR B
Tools CoveredPython, SQL, Tableau, Power BI, GPT, RAG, LangChain, Multimodal AI & AI AgentsBasic Python, ML tools, and limited AI technologiesDeep Learning with limited Generative AI tools
AI FocusStrong focus on Data Science, Generative AI, Agentic AI, and intelligent automationBasic AI concepts with limited modern AI exposureAdvanced AI with less focus on Agentic AI
Real-World ApplicationIndustry-focused projects, AI automation, dashboards, and intelligent AI applicationsMostly theoretical or limited practical projectsSome practical AI and analytics projects
Expert-Led InstructionTraining by experienced AI, analytics, and industry professionalsGeneral instructors with basic AI expertisePrimarily academic-focused instructors
Career OpportunitiesPrepares learners for Data Analyst, AI Engineer, ML Engineer, and Generative AI rolesMostly supports entry-level analytics rolesLimited exposure to emerging AI career paths
Cross-Industry RelevanceSkills applicable across finance, healthcare, retail, IT, automation, and business domainsLimited cross-industry implementationModerate industry relevance
Networking OpportunitiesConnect with AI professionals, mentors, and industry expertsLimited networking opportunitiesFew networking sessions
Investment ValueHigh career value with modern AI, automation, and real-world implementation skillsModerate value with traditional AI learningGood value for general AI learning

Official Partnership Recognition

Proud to be a Recognised Skilling Partner of IT-ITeS SSC Nasscom

Partnership Certificate
Verified

Certificate of Partnership

SkillzRevo Solutions Private Limited

Partnership Details

Organization

SkillzRevo Solutions Private Limited

Recognition Status

Recognised Skilling Partner

Certifying Authority

IT-ITeS SSC Nasscom

Validity Period

24/11/2025 - 24/11/2026

FutureSkills Prime Initiative

A MeitY - Nasscom Digital Skilling Initiative empowering professionals with cutting-edge IT skills

Active Partnership

10+

Year Partnership

100%

Certified

Committed to Excellence in Digital Skilling

As a recognized skilling partner, we are dedicated to delivering world-class IT training and development programs aligned with industry standards and government initiatives.

Skill IndiaIT-ITeS SectorNasscom Certified

Frequently Asked Questions