Data Science

Beginner to Mastery

Data Analytics with Generative AI

Combines data analytics with advanced Generative AI tools.

Provides practical experience through real-world projects.

Taught by industry professionals with deep expertise.

Covers essential tools like Python, SQL, Tableau, and cutting-edge AI technologies.

Group Enrollment with Friends or Colleagues

Data Analytics with Generative AI

Course Duration

375 Hours

Next Batch

14 September 2025

Course Material

Live. Online. Interactive.

Opens doors to diverse roles in data science, AI, and business analysis.

Offers skills that are applicable across various industries and job roles.

Provides opportunities to network with peers and professionals in the data and AI fields.

Keeps you future-ready by aligning your expertise with emerging technologies and market trends.

Highlight Data Analytics with Generative AI

KEY HIGHLIGHTS OF DATA ANALYTICS WITH GENERATIVE AI PROGRAM

  • Weekly sessions with industry professionals
  • Dedicated Learning Management Team
  • 375 hours of hands-on learning experience
  • Over 120 hours live sessions spread across 05 months
  • 150 Hours of Self-Paced Learning
  • Learn from IIT Industry Experts.
  • More than 40+ industry-related projects and case studies
  • One-on-One with Industry Mentors
  • 24*7 Support
  • Personalised mentorship sessions with industry experts
  • 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 DATA ANALYTICS WITH GENERATIVE AI PROGRAM?

Comprehensive Coverage

Learn a wide range of essential tools and techniques, from data analytics to cutting-edge AI technologies.

Industry-Relevant Skills

Gain highly sought-after skills that enhance your employability in today’s job market.

Hands-On Learning

Apply your knowledge through practical projects and real-world scenarios.

Career Growth

Open doors to advanced career opportunities and higher earning potential in data science and AI.

UPCOMING BATCH:

14 September 2025

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

Data Analytics with Generative AI OVERVIEW

This program helps participants to be proficient in both data analysis and AI. The program includes Advanced Excel, Python, Basic Statistics, SQL & data visualization with Tableau/Power BI. It also delves into Generative AI technologies such as Hugging Face Transformers, LLMs and DALL-E 2, MidJourney, GANs, RAG, LangChain to give you a strong foundation in data management and cutting-edge advanced AI tools.

ENROLL NOW & BOOK YOUR SEAT AT FLAT 50% WAIVER ON FEE

Enroll Now →

Data Analytics with Generative AI Objectives

The Program is aimed at offering essential knowledge in the key field areas related to data analysis, Python programming and statistical techniques useful for decision making based on data. This meant they wanted me to work more on SQL for database management and Tableau for data visualization. Further, the course also exposes learners to state-of-the-art Generative AI technologies such as: Hugging Face Transformers, LLMs, DALL-E 2, GANs so they could use more advanced tools in their projects. The programme aims to make the participants well versed with data analytics and AI.

Enroll Now →

Why Learn Data Analytics with Generative AI ?

Master Python & Data Analysis

Gain proficiency in Python, statistical analysis, and data visualization to effectively explore and understand data.

Explore Advanced AI

Dive into deep learning, NLP, and reinforcement learning to design solutions for complex tasks.

Hands-On with Generative AI

Develop skills with tools like DALL-E 2, MidJourney, and GANs for creative image generation and data synthesis.

Innovate with LLMs & LangChain

Leverage Large Language Models, GPT, and LangChain to create and manage cutting-edge AI applications.

Enhance Communication

Effectively convey complex information and findings using data visualization techniques.

Real-World Projects

Apply your knowledge through industry-focused projects and case studies, bridging theory with practical experience.

Career Advancement

Equip yourself with future-ready skills that open opportunities in AI, data science, and advanced analytics roles across industries.

Drive Innovation

Contribute to the development of cutting-edge technologies and solutions through a deep understanding of these tools.

Program Advantages

Master essential tools like Advanced Excel, Python, SQL, Tableau, and advanced Generative AI technologies.

Learn up-to-date practices that match current market demands.

Apply knowledge through real-world projects and hands-on exercises.

Develop advanced skills in Generative AI, including LLMs, DALL-E 2, and GANs.

Equip yourself with versatile skills applicable across various sectors.

Stay ahead with cutting-edge tools that shape the future of data and AI.

Master essential tools like Advanced Excel, Python, SQL, Tableau, and advanced Generative AI technologies.

Learn up-to-date practices that match current market demands.

Develop advanced skills in Generative AI, including LLMs, DALL-E 2, and GANs.

Equip yourself with versatile skills applicable across various sectors.

Description

Data Analytics with Generative AI program Certifications

NASSCOM

NASSCOM

Course Completion

Course Completion

Project Completion

Project Completion

Data Analytics with Generative AI Curriculum

Lecture 01: Introduction to Python, Why Python, Variables, Data Types, Type Casting, Strings, Indexing
Lecture 02: Operators and Conditional Statements, Looping Statements and its Control Statement
Lecture 03: Lambda Functions, *args, **kwargs, Functions
Lecture 04: Data Structures - List, Tuple, and List Comprehensions
Lecture 05: Data Structures - Set and Dictionaries
Lecture 06: Classes, Objects and Constructors, Inheritance
Lecture 07: Polymorphism, Abstraction and Encapsulation
Lecture 08: Connecting to Databases, Establishing Connections to Databases, Executing SQL Queries, ORM (Object-Relational Mapping), Working with NoSQL Databases
Lecture 09: Introduction to Numpy and Pandas
Lecture 10: Introduction to Seaborn and Matplotlib
Lecture 11: Introduction to Statistics, Descriptive Statistics, Sample, Population, Major of Central Tendency, Standard Deviation,
Lecture 12: Variance, Range, IQR, Outliers, Correlation, Covariance Skewness, Kurtosis, Probability
Lecture 13: Probability, Probability distributions, Central Limit Theorem, Binomial and Poisson Distribution
Lecture 14: Normal Distribution, Type I & Type II Error
Lecture 15: T-test, Z-test, Hypothesis Testing
Interview Questions
Lecture 16: Basics of Database, Types of Database, Data Types, SQL Operators, Expressions, Create, Insert
Lecture 17: Drop, Truncate, Delete, Alter, Update, Select, Range, Operator, IN, Wildcard, Like, Clause
Lecture 18: Constraint, Aggregation Function, Group By, Order By, Having
Lecture 19: Joins, Case, Complex Queries, Doubt Clearing
Lecture 20: Tableau Desktop, Tableau Products
Lecture 21: Data Import, Measures, Filters
Lecture 22: Data Transformation, Marks, Dual Axis
Lecture 23: Manage Worksheets, Data Visualization, Dashboarding, Project
Lecture 24: Introduction to Data Analytics, Scope of Data Analytics
Lecture 25: Microsoft Excel Overview, Basic Navigation and Usage, Cell Referencing, Formatting Excel, Advanced Formatting, Shortcuts and Basic Formulas
Lecture 26: Sorting, Filtering, Advanced Filtering, Charts, Types of Charts, Advanced Charting Techniques, and Pivot Tables (Creating, Grouping and Summarizing Data)
Lecture 27: Lookup Functions, VLOOKUP, Using VLOOKUP with Multiple Criteria, HLOOKUP, Combining HLOOKUP with Other Functions, MATCH Function, Using MATCH for Dynamic Referencing
Lecture 28: 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 29: Understanding the Basics of Data Analysis, Data Import and Cleaning, Using Formulas and Functions, Data Visualization, Descriptive Statistics
Lecture 30: 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 31: Introduction to AI, Hype vs. Reality, Business Applications, Ethical Considerations, Introduction to Generative AI, From Text Generation to Multimodal Models, Potential and Challenges
Lecture 32: Introduction to Open Source Huggingface Transformers Platform, Review of NLP Basics & Text Pre-processing, Introduction to NLP Concepts: Language Representations, Tokenization, Part-of-Speech Tagging, Text Preprocessing
Lecture 33: Feature Engineering: Normalization, Stemming, Lemmatization, Stop Word Removal, Understanding Key NLP Applications using Huggingface Platform
Lecture 34: Sentiment Analysis, Sentence Classification, Generating Text, Extracting an Answer from Text
Lecture 35: Understanding Language Models, Probability-based Language Models, Unsupervised Learning Language Representations, Introduction to Transformer Models, What are Transformer Models
Lecture 36: Types of Models: Encoder-Decoder, Decoder Only, Attention Mechanism, Tasks that Transformer Models Can Do: Translation, Text Summarization, Q&A, Text Generation, Zero Shot, Few Shot Text Classification
Lecture 37: Introduction to Large Language Models (LLMs), Structure of Popular Models, Types of Models: Text to Text, Text to Image, Text to Video, Multimodal
Lecture 38: Other Types of Generative AI Algorithms: GANs (Generative Adversarial Networks), Variational Autoencoders (VAEs), Diffusion Models, Mixture of Experts, Different Models Available Currently for Image (DALL-E 2, Midjourney)
Lecture 39: Hands-on Practice of NLP Tasks Using Huggingface Library and Open-source Language Models such as Bloom for Finetuning a LLM, Zero and Few Shot Classification, Applications of Generative AI in Business
Lecture 40: Customer Insights & Sentiment Analysis, Personalized Marketing & Content Creation, Chatbots: Automating Customer Service and Support, Document Processing Automation
Lecture 41: Project Session

Data Analytics with Generative AI Skills Covered

Advanced Data Analysis
Python Programming
Statistical Analysis
Data Visualization
SQL Expertise
Model Evaluation
Feature Engineering
Dashboard creation
TData Storytelling
Deep Learning
Computer Vision techniques
Image Processing
Text Processing
Sentiment Analysis
Language Modelling
Generative AI concepts
AI model training

Data Analytics with Generative AI Tools Covered

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Data Analytics with Generative AI Program Benefits

Data Analytics with Generative AI Program Benefits Illustration

CAREER OPPORTUNITIES AFTER THIS COURSE

AI Specialist Salary Range

Min

$70,000

Average

$95,000

Max

$120,000

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 in-depth reports and dashboards with Tableau, Excel to deliver data findings efficiently across stakeholders.

Targeted at your domain experts to develop, train and deploy AI models using Generative AI for solving complex business problems.

Collect, clean, and analyze data to extract meaningful insights that inform business decisions.

Develop and tune SQL queries to maintain database performance profiling for relational databases

Use statistical and analytical methods to find trends, patterns or opportunities in your dataset.

Provide data insights to support and inform business decisions, ensuring organizations can realize their goals.

Automate routine tasks using Python to enhance efficiency and reduce manual workload.

Collaboratively partner with IT, management and other key stakeholders from cross-functional teams to implement data-driven solutions.

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

Enroll Now & Save Up To

60%

In USD

$1,449

In INR

119,999

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 Session30 August 20259 PM to 12 AMBatch 1
Online Live Instructor Led Session14th Sept 20259 PM to 12 AMBatch 2

COMPARISON WITH OTHERS

FeatureOur CourseCOMPETITOR ACOMPETITOR B
Tools CoveredAdvanced Robotics, Quantum Computing, Python, TensorFlow, and cutting-edge AI tools like GPT-4, StyleGAN, Neural Architecture SearchBasic ML and DL focusGeneral AI with less focus on Generative AI
Hands-On ExperienceExtensive practical projects with tools like GPT, DALL-E 2Limited practical projectsHands-on projects mainly in traditional AI
Advanced ToolsGPT, DALL-E 2, Midjourney, Hugging Face, Transformers, GANs, RAG, LangChainFocus on traditional ML frameworksEmphasis on standard ML and AI tools
Instructor ExpertiseExperienced professionals with industry and research backgroundMix of industry and academic instructorsPrimarily academic-focused instructors
Real-World ApplicationsEmphasis on real-world problem-solving and innovationMostly theoretical applicationsGeneral applications with less focus on innovation
Career SupportStrong focus on career advancement and networkingBasic career servicesLimited career support and networking opportunities
Networking OpportunitiesConnect with peers and industry leadersLimited networking eventsFew networking opportunities
Certification ValueRecognized certification for advanced AI rolesStandard certificationGeneral certification with less industry recognition

Frequently Asked Questions