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Master Certification in Data Analytics with Generative AI and Prompt Engineering

The Master Certification in Data Analytics with Generative AI and Prompt Engineering is an industry-focused program designed to help students build strong analytical, technical, and AI-driven problem-solving skills.

Course Description

This course combines Data Analytics, Business Intelligence, Data Visualization, Generative AI, and Prompt Engineering to prepare students for modern data-driven careers. Students will learn how to collect, analyze, visualize, and interpret data using industry-standard tools and AI technologies. Through hands-on projects, real-world datasets, live case studies, and practical assignments, learners will gain experience in transforming raw data into actionable business insights. The program is ideal for students, working professionals, entrepreneurs, and aspiring data analysts looking to build high-demand skills for the future.

Program Key Features

Industry-Aligned Curriculum
Hands-on Training with Real Datasets
Generative AI & Prompt Engineering Modules
Live Projects & Business Case Studies
Data Visualization & Dashboard Creation
Excel, SQL, Python & Power BI Training
AI-Assisted Data Analysis Techniques
Portfolio & Resume Building
Mock Interviews & Placement Preparation
Industry Expert Mentorship
LMS Access & Recorded Sessions
Freelancing & Career Guidance
300+ Hiring Partner Support
Capstone Projects & Practical Assignments
2-Year Alumni Support

What You’ll Learn From This Course?

Students will learn the fundamentals of Data Analytics, including data collection, cleaning, processing, and interpretation using tools such as Excel, SQL, Python, and Power BI. The course covers data visualization, dashboard creation, business reporting, statistical analysis, and decision-making techniques used in modern organizations. Students will also gain hands-on experience with Generative AI tools and Prompt Engineering, learning how to create effective AI prompts, automate workflows, generate insights, and improve productivity using AI technologies.

The program further includes training in business analytics, problem-solving, predictive analysis basics, and real-world data-driven strategies through live projects and case studies. Students will work on practical assignments, portfolio projects, and capstone projects to build industry-ready skills. Additionally, the course provides resume building, mock interviews, communication skills, and placement preparation to help learners confidently start their careers in Data Analytics and AI-powered business solutions.