Certification Program in Data Analytics with AI and Gen AI
Qualifier Test Date
July 19, 2026
Course Duration
6 months
Time Commitment
8-10 Hours/week
Eligibility
12th Pass and Above
Learning Mode
Online
1.2K+ students have already registered
Qualifier Test Date
July 19, 2026
Course Duration
6 months
Time Commitment
8-10 Hours/week
Eligibility
12th Pass and Above
Learning Mode
Online
Why Choose This Course?
An elite pathway to mastering Data Analytics with AI, crafted by IIT academicians
Receive a Certificate of Completion from E&ICT Academy IIT Roorkee, recognizing your achievement.
An optional 2-day Campus Immersion for direct interaction with industry experts and peers.
Enter the fast-evolving AI era by mastering Data Analytics with AI through hands-on learning guided by leading IIT faculty
Access cutting-edge business analysis content, engaging simulations, and practical evaluations. Focus on real-time project implementation for hands-on mastery.
Engage in immersive, hands-on projects that span data foundations, AI-assisted analytics, and agentic system design- applying Python, LLM frameworks, and multi-agent architectures to solve real-world, industry-driven business challenges.
Receive resume reviews, career coaching, and placement support to land your dream role. (Eligibility: 65% attendance & overall 70% marks; offered by Masai)
Certification from E&ICT Academy IIT Roorkee
Receive a Certificate of Completion from E&ICT Academy IIT Roorkee, recognizing your achievement.
Campus Immersion
An optional 2-day Campus Immersion for direct interaction with industry experts and peers.
Future-Proof Career Gateway
Enter the fast-evolving AI era by mastering Data Analytics with AI through hands-on learning guided by leading IIT faculty
Advanced Curriculum
Access cutting-edge business analysis content, engaging simulations, and practical evaluations. Focus on real-time project implementation for hands-on mastery.
Practical-Based Learning
Engage in immersive, hands-on projects that span data foundations, AI-assisted analytics, and agentic system design- applying Python, LLM frameworks, and multi-agent architectures to solve real-world, industry-driven business challenges.
Placement Opportunities
Receive resume reviews, career coaching, and placement support to land your dream role. (Eligibility: 65% attendance & overall 70% marks; offered by Masai)
Certificate Eligibility: Minimum 65% overall attendance and 35% in the cumulative evaluation score.
What Will You Learn?
Drive your career forward by mastering Data Analytics with AI and Generative AI. Build a strong foundation in data architecture, SQL, Python, and spreadsheets, then advance to Large Language Models, strategic prompt engineering, and AI-assisted analytics. Gain hands-on expertise in Generative AI, multi-agent systems, and automation, emerging as a portfolio-ready professional equipped to solve complex, AI-driven business challenges.
Toolkit
Course Details
Duration
6 Months
Course Mode
Online: Mon, Wed, Fri(8- 9:30 PM)
Certification
from E&ICT Academy, IIT Roorkee
This initial phase establishes the bedrock of data literacy. Learners will master the tools required to organize, clean, and query data, moving from basic spreadsheets to advanced programming logic.
Key Learning Outcomes:
- • Relational Intelligence (SQL): Constructing complex queries to manage and retrieve data from relational database management systems
- • Algorithmic Thinking with Python: Building a functional coding foundation in Google Colab; mastering variables and complex data structures
- • Spreadsheet Engineering: Mastering advanced Google Sheets functions for data hygiene and structural organization
- • Data Ecosystems: Navigating the information lifecycle and understanding diverse data types
- • The Intelligence Landscape: A high-level synthesis of AI ecosystems and the emergence of Machine Learning
Tools & Technologies: Google Sheets; Python; Google Colab; SQL; Relational Database Management Systems
Shift from data management to human-AI interaction. This module explores the mechanics of Large Language Models and the art of extracting high-value output through structured communication.
Key Learning Outcomes:
- • Heuristics of Prompting: Implementing zero-shot and few-shot strategies to guide model reasoning and output
- • Programmatic AI: Understanding the logic of API integration and interacting with models via code
- • Model Mechanics: Understanding LLM architecture; tokenization; and the distinction between proprietary and open-source ecosystems
- • Collaborative Analysis: Leveraging LLMs for advanced content synthesis; reporting; and creative analytical partnering
Tools & Technologies: OpenAI API; Anthropic Claude; Hugging Face; GPT Models; Prompt Engineering Frameworks
Learn to use AI as a "Co-pilot" for deep-dive analysis. This module focuses on using specialized Python libraries and AI tools to turn raw data into persuasive visual stories.
Key Learning Outcomes:
- • Computational Analytics: Mastering NumPy and Pandas for high-speed numerical processing and data manipulation
- • Dynamic Visualization: Creating informative charts and visual narratives that translate technical findings into business insights
- • AI-Assisted Pre-processing: Utilizing automated frameworks for rapid data cleaning and hygiene
- • The Art of Hypothesis: Using AI to generate data-driven questions and uncover non-obvious patterns
Tools & Technologies: NumPy; Pandas; Matplotlib; Seaborn; AI Data Cleaning Tools
Move beyond static AI to autonomous systems. This module focuses on designing agents that don't just "talk" but actually "act" to achieve specific goals.
Key Learning Outcomes:
- • Development Frameworks: Hands-on architecture using LangChain to design multi-step agent workflows
- • Web & Tool Integration: Enabling agents to research; browse; and interact with external APIs autonomously
- • Anatomy of Agency: Defining the components of autonomous assistants; including planning; reasoning; and memory
- • Goal-Oriented Design: Applying project management logic to define and achieve complex automation goals
- • Collaborative Swarms: Building multi-agent systems with CrewAI to manage sequential tasks and diverse roles
Tools & Technologies: LangChain; CrewAI; AutoGen; AI Automation Frameworks; API Integration Tools
The program culminates in a full-cycle development project where learners apply the entire curriculum to solve a real-world business challenge.
Key Learning Outcomes:
- • Technical Prototyping: Building a functional multi-agent or AI-powered application from the ground up
- • Solution Scoping: Defining project boundaries and identifying relevant public datasets and AI tools
- • Professional Launch: Finalizing your AI portfolio and preparing for transition into the AI-enabled workforce
- • Stakeholder Articulation: Mastering the technical pitch; explaining design decisions; and showcasing project ROI
Tools & Technologies: Full AI Tech Stack (Python; LangChain; CrewAI); Public Datasets; Portfolio Presentation Tools
Under The Guidance of
Prof. Sanjeev Manhas
Principal Investigator of E&ICT Academy, IIT Roorkee
Prof. Sanjeev Manhas, Principal Investigator of E&ICT Academy, IIT Roorkee, is a distinguished academician, researcher, and innovator with extensive experience in academia, research, and industry. He ...
Prof. Sanjeev Manhas, Principal Investigator of E&ICT Academy, IIT Roorkee, is a distinguished academician, researcher, and innovator with extensive experience in academia, research, and industry. He ...
Prof. Sanjeev Manhas
Principal Investigator of E&ICT Academy, IIT Roorkee
Prof. Sanjeev Manhas, Principal Investigator of E&ICT Academy, IIT Roorkee, is a distinguished academician, researcher, and innovator with extensive experience in academia, research, and industry. He ...
Prof. Sanjeev Manhas, Principal Investigator of E&ICT Academy, IIT Roorkee, is a distinguished academician, researcher, and innovator with extensive experience in academia, research, and industry. He ...
