Data Science

Beginner to Mastery

Data Analytics with Generative AI

⚡ Powered by Agentic AI

Combines Data Analytics with modern Generative AI and Agentic AI intelligent automation technologies.

Provides hands-on practical experience through real-world projects and business case studies.

Learn from experienced industry professionals with strong analytics and AI expertise.

Covers Python, SQL, Tableau, Power BI, and advanced AI technologies including GPT and RAG.

Group Enrollment with Friends or Colleagues
Data Analytics with Generative AI

Course Duration

375 Hours

Next Batch

16 May 2026

Course Material

Live. Online. Interactive.

Unlock opportunities in Data Science, Generative AI, Analytics, and Business Intelligence roles.

Build versatile skills applicable across multiple industries and business domains.

Connect with industry professionals, mentors, and peers in AI and analytics communities.

Stay future-ready with expertise aligned to emerging AI 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 Data Analytics, Generative AI, Agentic AI , visualization tools, and intelligent automation technologies.

Industry-Relevant Skills

Build in-demand skills in Python, SQL, Tableau, Power BI, GPT, and AI-driven analytics solutions.

Hands-On Learning

Apply practical knowledge through real-world projects, dashboards, and AI business case studies.

Career Growth

Unlock advanced career opportunities in Data Analytics, AI, Business Intelligence, and automation domains.

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

Data Analytics with Generative AI OVERVIEW

Master our Data Analytics course with Excel, SQL, Power BI and complete AI & ML Bootcamp that merges analytics expertise with cutting-edge Generative AI. This industry-oriented Data Analytics program and Applied Artificial Intelligence course delivers comprehensive training in data management and advanced AI technologies. Build proficiency in Advanced Excel, Python, Basic Statistics, SQL, and data visualization using Tableau and Power BI. Dive deep into Generative AI with Hugging Face Transformers, LLMs, DALL-E 2, MidJourney, GANs, RAG, and LangChain. This job-oriented AI course with hands-on projects equips you with both foundational data analysis skills and next-generation AI tools to drive innovation and strategic decision-making.

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

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Data Analytics with Generative AI Objectives

This program is designed to provide learners with strong foundational and advanced knowledge in Data Analytics, Generative AI, and intelligent business solutions. The course develops practical skills in Python programming, statistical analysis, data visualization, and data-driven decision-making techniques. Learners gain hands-on experience with SQL for database management, Tableau and Power BI for interactive dashboards, and Advanced Excel for business analytics. The program also introduces cutting-edge Generative AI technologies including GPT, Hugging Face Transformers, Large Language Models (LLMs), DALL·E, GANs, RAG, and AI automation systems to help learners build modern AI-powered applications. The primary objective of the program is to equip participants with industry-ready expertise in analytics and next-generation AI technologies for solving real-world business challenges.

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Why Learn Data Analytics with Generative AI ?

Master Python & Data Analysis

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

Explore Advanced AI

Learn Deep Learning, NLP, Generative AI, and intelligent automation technologies for modern business solutions.

Hands-On with Generative AI

Develop practical skills with GPT, DALL·E, MidJourney, GANs, and Multimodal AI systems.

Innovate with LLMs & LangChain

Leverage Large Language Models, RAG, LangChain, and AI Agents to build intelligent AI applications.

Enhance Communication

Present insights effectively using Tableau, Power BI, dashboards, and data storytelling techniques.

Real-World Projects

Work on industry-focused projects, analytics dashboards, and AI-driven case studies for practical exposure.

Career Advancement

Build future-ready skills for opportunities in Data Analytics, AI, Business Intelligence, and automation roles.

Drive Innovation

Create data-driven and AI-powered solutions using modern analytics and Generative AI technologies.

Program Advantages

Master essential tools including Advanced Excel, Python, SQL, Tableau, Power BI, and Generative AI technologies.

Learn industry-relevant practices aligned with current market trends and business requirements.

Apply practical knowledge through real-world projects, dashboards, and hands-on AI applications.

Develop advanced skills in GPT, Large Language Models, RAG, DALL·E, GANs, and AI automation systems.

Build versatile analytics and AI skills applicable across multiple industries and business domains.

Stay ahead with modern tools and technologies shaping the future of Data Analytics and Artificial Intelligence.

Gain hands-on experience with visualization platforms, intelligent systems, and AI-driven business solutions.

Enhance career opportunities with practical expertise in analytics, Generative AI, and automation technologies.

Description

Data Analytics with Generative AI program Certifications

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: Evolution of AI (Rule-based → ML → GenAI → Agentic AI), Hype vs Reality, Industry Adoption of GenAI, Ethical & Responsible AI
Lecture 32: How Generative AI Works: LLM intuition, Tokens, Embeddings, Context Window, Capabilities & Limitations (Hallucination, Bias, Cost)
Lecture 33: Multimodal AI Systems: Text, Image, Tables, Documents. Industry Applications. Case Study: Invoice and financial report understanding
Lecture 34: Core Generative AI Tasks: Text generation, Classification, Summarization, Question Answering. Hands-on Case Study: Resume screening and document summarization
Lecture 35: Prompt Engineering Fundamentals: Zero-shot, Few-shot, Role Prompting, Prompt Templates. Case Study: Marketing content generation
Lecture 36: Advanced Prompting: Prompt Debugging, Guardrails, Prompt Evaluation, Response Optimization. Hands-on Case Study: Improving incorrect chatbot responses
Lecture 37: Retrieval-Augmented Generation (RAG): Embeddings, Vector Search, RAG Architecture. Hands-on Case Study: Chat with company policy documents
Lecture 38: Multimodal RAG: Text + Image + Table Retrieval, Document Intelligence. Case Study: Invoice and scanned document Q&A system
Lecture 39: Introduction to Agentic AI: Agent vs Chatbot Workflow, Agent Lifecycle, Levels of Autonomy, Human-in-the-loop Systems. Case Study: AI Research Assistant
Lecture 40: Agent Architecture & Design Patterns: Planner-Executor-Evaluator, ReAct Pattern, Tool-Use Pattern, Reflection. Hands-on Case Study: Recruiter Agent design
Lecture 41: Agent Memory, Tools & Planning: Short-term vs Long-term Memory, Tool Calling, Feedback Loops. Case Study: Customer support agent with memory
Lecture 42: Agent Framework Internals (Conceptual): How frameworks manage chains, agents, tools and memory. Positioning of LangChain. Design considerations without deep syntax
Lecture 43: LLM Fine-Tuning from an Industry Perspective: Prompting vs RAG vs Fine-Tuning, PEFT and LoRA concepts, Cost, Risk and Governance Considerations
Lecture 44: No-Code and Low-Code Agentic AI: Use cases, Benefits and Limitations, Visual Agent Design. Demo: No-code content or support agent
Lecture 45: Capstone Design Session: End-to-End Generative AI and Agentic AI Solution. Hands-on Project: AI Customer Support Supervisor Agent

Data Analytics with Generative AI Skills Covered

Advanced Data Analysis
Python Programming
Statistical Analysis
Data Visualization
SQL Expertise & Database Management
Model Evaluation
Feature Engineering
Dashboard Creation
Data Storytelling
Machine Learning Fundamentals
Deep Learning
Computer Vision Techniques
Image Processing
Text Processing
Sentiment Analysis
Language Modeling
Generative AI Concepts
Prompt Engineering
AI Model Training
Retrieval-Augmented Generation (RAG)
Large Language Models (LLMs)
AI Agents & Intelligent Automation Systems

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

Develop, train, and deploy AI and Generative AI solutions to solve complex business problems.

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

Write and optimize SQL queries to manage databases and improve data analysis performance.

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

Provide actionable data insights to support strategic planning and organizational growth.

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

Collaborate with business teams, IT professionals, and stakeholders to implement data-driven and AI-powered 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

Upto

30%

Off

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 Session16 May 20269 PM to 12 AMBatch 1
Online Live Instructor Led Session23 May 20269 PM to 12 AMBatch 2

COMPARISON WITH OTHERS

FeatureOur CourseCOMPETITOR ACOMPETITOR B
Tools CoveredPython, SQL, Tableau, Power BI, GPT, RAG, LangChain, AI Agents & Generative AI toolsBasic ML and DL focusGeneral AI with limited Generative AI coverage
Hands-On ExperienceExtensive real-world projects, dashboards, and AI applicationsLimited practical projectsTraditional AI-focused projects
Advanced ToolsGPT, DALL·E, MidJourney, Hugging Face, Transformers, GANs, RAG & AI AgentsFocus on traditional ML frameworksStandard ML and AI tools
Instructor ExpertiseIndustry experts with strong AI and analytics experienceMix of industry and academic instructorsPrimarily academic-focused instructors
Real-World ApplicationsFocus on analytics, AI automation, and intelligent business solutionsMostly theoretical applicationsLimited innovation-focused applications
Career SupportCareer guidance, portfolio building, and networking opportunitiesBasic career servicesLimited career support and networking
Networking OpportunitiesConnect with AI professionals, mentors, and industry leadersLimited networking eventsFew networking opportunities
Certification ValueIndustry-recognized certification for Data Analytics, AI & Generative AI rolesStandard certificationGeneral certification with lower industry recognition

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